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The global digital asset landscape currently exhibits notable strength, with total cryptocurrency valuation climbing 1.38 per cent to US$2.7T in a single 24-hour period. This substantial expansion aligns closely with traditional equities, as the broader sector shows a 68 per cent correlation with the S&P 500. Investors clearly interpret these decentralised networks as high-beta risk instruments rather than isolated speculative vehicles. Such tight alignment indicates that macroeconomic liquidity and shifting monetary policy expectations primarily dictate current trajectories. Participants eagerly allocate funds to riskier classes while anticipating favourable financial conditions. This environment creates favourable conditions for sustained upward momentum across the ecosystem.

My analysis suggests that this structural shift reflects a maturing environment where large wealth managers dictate the prevailing trend rather than fleeting retail sentiment. This deep integration with traditional finance validates the long term viability of these networks as a permanent fixture in modern portfolio construction. Institutional allocators now view digital assets as essential diversification tools that capture asymmetric upside during fiat debasement.

Bitcoin leads the sector rally, advancing 1.76 per cent to reach a new trading value of US$80,235.47. The primary catalyst behind this specific appreciation involves relentless accumulation through United States spot exchange-traded funds. These financial products recorded their eighth consecutive day of net inflows, which aggregated US$232.12M on August 27. BlackRock significantly amplified this buying pressure when its iShares Bitcoin Trust executed a US$200.76M purchase on the same day. This specific acquisition signals strong conviction and provides a steady bid for the underlying asset.

Exchange-traded fund reserves have subsequently expanded by US$22B since the middle of August. Large deployments prove that cash-funded rallies currently dominate the market. Such tangible buying provides a much more durable foundation for appreciation than leverage-fuelled speculative spikes. When major asset managers commit this level of funds, they effectively establish a firm floor that limits severe downside volatility during routine corrections. This persistent accumulation pattern demonstrates that traditional finance giants view current price levels as highly attractive entry points for long-term strategic positioning.

Also Read: Who really moves Bitcoin now: nine straight days of Fidelity buying exposes the new power structure

Derivatives platforms significantly accelerated this spot-driven upward trajectory through a rapid liquidation sequence. Trading venues wiped out US$100.04M worth of Bitcoin positions over a single 24-hour period. Short sellers absorbed the majority of the financial impact, as US$67.73M in bearish bets were forced to close. This specific short liquidation volume represents a staggering 168.86 per cent surge from the previous trading session. Overall wiped-out volume also reflects an 85 per cent increase compared to prior daily metrics. These forced buybacks created a powerful feedback loop that pushed valuations even higher. The premier digital asset now faces immediate technical hurdles as it approaches the 50-week moving average situated near US$81,085.

A formidable supply wall also exists between US$81,000 and US$86,000. The asset must hold firmly above the US$80,000 psychological threshold to successfully test the US$83,000 resistance zone. A failure to maintain this crucial support level risks a severe pullback toward the 200-day exponential moving average near US$76,000 following a break below US$78,200. Traders must recognise that overcoming this specific supply barrier requires immense spot volume to absorb the existing sell orders resting at those elevated tiers. Market makers will monitor order book depth to gauge whether buyers possess sufficient capital to clear this overhead resistance.

Ethereum is up 0.97 per cent, reaching a current valuation of US$2,513.71. This specific action perfectly mirrors the overarching trend, in which the total ecosystem valuation advanced 1.85 per cent and the leading asset gained 1.95 per cent. The smart contract network currently functions primarily as a high-beta proxy for general sector strength rather than an independent store of value. The CryptoMarket Fear and Greed Index currently reads 82, which officially indicates extreme greed among participants. This elevated sentiment confirms that bullish expectations permeate the entire ecosystem.

Ethereum faces immediate hurdles near the US$2,600 level after struggling to breach it in recent weeks. Maintaining a position above the US$2,500 support zone remains absolutely crucial for preserving the short-term bullish structure. A breakdown below US$2,450 would inevitably trigger a correlated retracement toward the US$2,400 mark. The network lacks a unique internal catalyst at this precise moment, which leaves its immediate destiny entirely bound to the broader trajectory. Network upgrades and scaling solutions must eventually materialise to decouple its performance from pure beta momentum and establish independent fundamental value. Developers must deliver tangible improvements to transaction throughput to justify higher independent valuations.

Also Read: Bitcoin touched US$81,000: Was that a rally or a forced repricing?

The broader ecosystem experiences significant rotation as regulated access expands rapidly across multiple platforms. Charles Schwab recently expanded its massive US$13T wealth management platform to include direct trading in Solana and Avalanche, alongside Chainlink. This strategic expansion increases regulated access for traditional finance clients seeking exposure to alternative networks. BlackRock also demonstrated immense confidence in the broader ecosystem, as its Ethereum-specific exchange-traded fund attracted US$889.8M in net purchases over eight consecutive trading days ending August 27.

This sustained demand fuels selective momentum across various alternative tokens despite the Altcoin Season Index dropping 2.7 per cent to settle at 36. Bitcoin dominance currently stands at 59.7 per cent, indicating that funds still heavily favour the premier digital asset. Specific alternative tokens demonstrate remarkable independent strength as Solana surges 8.6 per cent and VeChain climbs 11.27 per cent within the same day. These selective gains prove that smart money actively identifies specific utility-driven protocols while ignoring purely speculative projects. Institutional gatekeepers now filter the landscape to offer clients exposure to networks with verifiable utility and robust developer activity. Wealth advisors increasingly recommend these specific altcoins to clients seeking enhanced portfolio returns beyond standard allocations.

Participants now await several crucial macroeconomic triggers that will dictate the next major directional move. Federal Reserve Chair Kevin Warsh will deliver his Jackson Hole keynote address on August 29. Investors will scrutinise his phrasing for dovish indications that might support a decisive break above the US$83,000 resistance tier. Unexpected hawkish commentary risks shattering the current bullish structure and triggering widespread profit-taking.

The financial community will also monitor the Bank of Japan’s September 18 rate decision for potential volatility spillovers. The current rally rests on a sound foundation built upon tangible buying and expanding regulated access. Technical indicators suggest that the sector is showing a slight extension in the short term. A period of consolidation near current elevated valuations appears highly probable before the next major trend continuation occurs. Sustaining daily exchange-traded fund inflows above US$200M will provide the necessary fuel to overcome supply barriers.

My final take is that the structural uptrend remains fully intact, provided that conviction does not waver during these critical announcements. Observers must remain vigilant as liquidity conditions can shift rapidly when central banks adjust future interest rates. Prudent risk management protocols will protect capital during these unpredictable macroeconomic transitions.

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My journey began in engineering and corporate leadership, but a deep inner emptiness led me to seek God’s guidance, ultimately discovering an unexpected calling in the healing power of plants and holistic medicine. With only faith, perseverance, and S$10,000 in savings, I left a secure career to pioneer practitioner-grade Western herbal medicine in Singapore, overcoming countless challenges without external funding. Looking back over 27 years, every obstacle has become a lesson in resilience, proving that when you follow your true calling with courage and trust, purpose will always triumph over adversity.

So when you say 27 years ago… well, it has been quite a ride! My practice in phytotherapy (Western herbal medicine) and my product brand have survived all sorts of attempted attacks, including trying to mitigate customs requirements, then again through a manufactured “compliance” complaint, and just recently through AI. Each time taught us invaluable lessons around operational resilience, and the last one? Well, let’s talk about that…

Lesson one: Mitigate single points of failure in the supply chain

Early in the journey, a large portion of my working capital was tied up in premium organic herbal raw materials sourced from a single region. Without warning, a sudden shift in local botanical import regulations regarding some Western herbs such as Ginkgo biloba leaf triggered an immediate blockade. The entire shipment was seized and physically destroyed at the border.

As a lean, self-funded operation, I had no legal department or capital reserves to fight a protracted customs dispute. The loss had to be absorbed completely.

The lesson

Relying on a single supplier can work well, until something goes wrong. When that supplier is disrupted, the entire business can grind to a halt.

A venture-backed startup may have enough funding to absorb the losses or quickly find alternatives. A self-funded business doesn’t have that luxury.

That’s why building a resilient supply chain is essential. Instead of depending on one source or one country, develop relationships with multiple suppliers across different regions from the very beginning. It may seem more costly or less efficient at first, but it provides valuable protection when unexpected events occur.

In my business, the most efficient system is not always the one that survives a crisis. Long-term success comes from building a supply chain that can withstand disruptions, not just one that performs well when everything is running smoothly.

In addition, my personal expertise in herbal medicine helps me a lot. Not being able to import certain ingredients is not a hindrance. I could use alternative herbs that are allowed to be imported, or a combination of herbs, to get the same clinical result.

Also Read: Where AI money is made, and where SEA founders should actually compete

Lesson two: Document everything to shield against weaponised compliance

As the brand grew, a competitor harvested historical data fragments from our digital client inquiries and support conversations to construct a malicious, fabricated compliance report. This triggered a surprise regulatory audit. I spent four consecutive hours under intense interrogation by enforcement officers who systematically inspected every single formulation record, data log, and clinical process in my facility.

While I was completely cleared, the investigators later noted it was a clear case of professional jealousy playing out through the regulatory system; the operational toll was severe. The psychological strain of defending my professional reputation led to a period of severe depression. Fortunately, I could depend on my herbs and a spiritual life to support my recovery, and I took the courage to move ahead, forgive others, and rebuild my practice.

The lesson

The entrepreneur needs to have clarity of mind, be very grounded and know that what he is doing is in accordance with professional ethics. The lesson is to trust that what I am doing is ethical and do no harm to others, especially my clients.

The entrepreneur needs to build resilience in body and soul to ride all such problems and stay steadfast in his or her mission. Therefore, building bodily health, clarity of mind, and a sense of higher purpose are paramount to riding all problems in business.

The entrepreneur also needs to learn how to let go of negative entities, forgive, and have the will to move forward. In order to do so, he or she needs to have a solid sense of a higher purpose. What exactly is my business objective? Just to earn more money or to serve my patients and clients.

Lesson three: Protect your brand from deepfake and AI scams

The latest threat was unlike anything we had faced before. Instead of attacking our supply chain or trying to bypass regulatory systems, the attackers targeted our customers directly.

An international scam network downloaded publicly available videos of me from TikTok and used them to train an AI model that convincingly replicated my voice and appearance. They then created deepfake videos and shared them across social media to promote unauthorised and potentially unsafe diabetes treatments, falsely claiming that I endorsed them.

Also Read: Your founder brand could add or subtract US$500K to US$1M before you walk into a room: Here’s how

Almost overnight, my focus shifted from running the business to managing a full-scale crisis. I had to identify fraudulent accounts, work with social media platforms to remove the fake content, reassure concerned customers, and protect the reputation that had taken decades to build.

This experience showed me that in today’s AI era, protecting a business means safeguarding not only your products but also your identity, your reputation, and the trust of your customers.

The lesson

Generative technology and voice-cloning tools are moving faster than platform content moderation algorithms or legal frameworks can adapt. Brand protection is no longer a passive legal box to check; it is an active, daily cyber-hygiene workflow. If you are a founder building a brand around proprietary expertise, you must proactively establish a clear, verified, out-of-band communication channel for your community to authenticate your true identity. If you haven’t built that verification layer yet, assume an adversarial actor is already testing how easily they can spoof your system.

The ultimate takeaway

When you build a business around your personal expertise, your biggest asset is your name and your face. But that also means you are the target.

Operational crises aren’t just about supply chain delays or server crashes anymore. In an era where data can be weaponised and voices can be cloned, protecting your brand means protecting your identity.

The clear takeaway for any founder is a reminder to link business security directly with personal security. Safeguarding data, reputation, and digital likeness stands as the very foundation that keeps a business upright.

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The post The deepfake threat and beyond: 3 unconventional security crises every founder-led brand must prepare for appeared first on e27.

Ajaib began with a simple bet: that young Indonesians would start investing if opening a brokerage account felt as easy as downloading an app.

Seven years later, that bet has turned into one of Indonesia’s largest consumer fintech platforms, spanning local equities, US stocks, crypto, payments, savings and stablecoin infrastructure. Now, the Jakarta-based company has secured fresh firepower from one of Japan’s most active financial groups.

Also Read: Fintech funding in Singapore drops to US$499M as dealmaking becomes more selective

Ajaib announced today that it has closed US$270 million in equity financing from SBI Holdings, the Tokyo-listed financial services group. The company said the Series C round was significantly oversubscribed and priced at a premium to its 2021 unicorn valuation. It also described the deal as the largest amount raised by an Indonesian technology company in more than four years.

The new financing brings Ajaib’s total funding raised to more than US$500 million. Its earlier rounds were led by DST Global and Ribbit Capital, backers whose portfolios include companies such as Stripe, Robinhood, Coinbase and Revolut. These include a US$153 million in Series B round, which was announced in October 2021.

For Indonesia’s startup ecosystem, where late-stage funding has been harder to secure since the 2021 peak, the deal is notable not only for its size but also for its source. SBI is not coming in as a passive financial investor. It is investing as a strategic partner, bringing experience across brokerage, digital banking, crypto and digital asset infrastructure.

From first-time investors to multi-asset users

Founded by Stanford MBA classmates Anderson Sumarli and Yada Piyajomkwan, Ajaib launched in 2019 with a retail stock trading product that allowed users to open an account by phone in minutes and without a minimum deposit.

That model hit a nerve in Indonesia, where capital market participation has historically been low despite the country’s scale. Indonesia is the world’s fourth most populous nation, with a young demographic profile and a median age of about 30. For fintech companies, that combination presents an obvious opportunity: millions of people are earning, saving and transacting digitally, but many have not yet bought their first stock, mutual fund or bond.

“Our first customers were college students buying one share at a time,” said Anderson Sumarli, Ajaib’s co-founder and CEO. “Those same customers now hold global stocks, crypto and stablecoins with us. We followed our customers, and our young customers were moving faster than the industry.”

That line captures the company’s broader evolution. Ajaib added crypto trading in 2022, and says its exchange has grown into one of the largest in Indonesia. It later introduced US stocks, allowing Indonesians to buy from as little as one dollar, alongside payments and savings services. The company also says it has built stablecoin infrastructure that now ranks among the country’s largest.

Most of its customers now use multiple products, according to Ajaib. That matters because consumer fintechs across Southeast Asia have been trying to move beyond single-use apps. Brokerage, crypto, lending, payments and savings each have different economics, regulatory requirements and user behaviour. But when combined well, they can create a financial services relationship that is harder to replace.

Why SBI’s involvement matters

SBI’s participation gives the round a different complexion from the growth funding that flooded Southeast Asia during the zero-interest-rate years. The Japanese group has spent the past decade building and investing in digital asset businesses globally, while maintaining deep roots in traditional financial services.

Also Read: GoTo’s first profit signals a fintech-driven future

“In this era of tokenisation, the importance of global infrastructure for digital assets is greater than ever,” said Yoshitaka Kitao, Founder, Chairman and President of SBI Holdings. “As a platform that handles traditional financial products together with digital assets, the Ajaib Group is a perfect match for SBI Group’s vision.”

The word “tokenisation” can sound abstract, but the idea is straightforward. Financial assets such as stocks, bonds, gold or funds can be represented digitally on blockchain-based systems, making them easier to divide, transfer or settle. Stablecoins — crypto tokens designed to track the value of currencies such as the US dollar — are increasingly seen by some financial institutions as a settlement layer for digital markets.

For a company like Ajaib, the strategic argument is that the boundary between conventional investing and digital assets may become less clear over time. A user who starts by buying an Indonesian stock may later buy fractional US shares, crypto assets or tokenised financial products. The winners will likely be platforms that can combine trust, compliance, liquidity and ease of use.

“Financial assets, media, compute — over the next decade a lot of it becomes digital tokens, and stablecoins become how it all settles,” Sumarli said. “Every generation ends up with a financial brand it grows up with. We intend to be that brand for this generation, in Indonesia and beyond.”

A crowded but expanding market

Ajaib is not building in a quiet corner of fintech. In Indonesia, it competes with investment and wealth platforms such as Stockbit and Bibit, multi-asset apps such as Pluang, and digital asset exchanges including Pintu, Tokocrypto and Indodax. Globally, its closest reference points include Robinhood, Coinbase, eToro and Revolut, each of which has tried to turn younger retail users into long-term financial customers.

The difference is that Indonesia remains a market where local regulation, payment rails, trust and education matter deeply. A US-style brokerage app cannot simply be copied and pasted into Jakarta, Bandung or Surabaya. New investors need low barriers to entry, but they also need confidence that products are licensed, understandable and suitable. That is particularly important in crypto, where retail enthusiasm in Southeast Asia has often run ahead of consumer protection.

Ajaib’s pitch is that it sits on both sides of the market: a regulated stock brokerage and a regulated digital asset exchange under one brand. If digital finance does converge, that dual position could become valuable. It could also bring heavier scrutiny, especially as regulators across Asia pay closer attention to stablecoins, retail crypto access and cross-border assets.

Southeast Asia’s late-stage test

The round arrives at a time when Southeast Asian startups are being judged more harshly on revenue quality, compliance and paths to profitability. The exuberant funding cycles of 2020 and 2021 created many unicorns, but the subsequent correction forced founders to cut burn, delay listings and prove that large user bases could translate into durable businesses.

Against that backdrop, a US$270 million up round for an Indonesian fintech will be read closely by the market. It suggests that strategic capital is still available for companies with scale, regulatory positioning and a clear role in the region’s financial infrastructure.

Also Read: Ajaib bags US$65M Series A from Silicon Valley VC firm

Ajaib said it will use the new capital to expand its businesses and hire in Indonesia and across the region. The regional element is important. Southeast Asia’s financial markets remain fragmented, but its young, mobile-first users increasingly behave in similar ways: they want low-cost access, global assets, instant settlement and products that fit inside daily digital habits.

The challenge for Ajaib will be turning breadth into depth. Offering stocks, crypto, payments, savings and stablecoins is one thing; making them work together safely and profitably is another. But with SBI now on board, Ajaib has gained not just capital, but a partner with a long-term view of where financial markets may be heading.

For Indonesia’s new generation of investors, the app that once helped them buy a single share is now trying to become their financial operating system.

The post Ajaib raises US$270M in Indonesia’s biggest tech funding round since 2022 appeared first on e27.

Enterprise AI has spent the past two years trying to escape the demo room. For banks, insurers, manufacturers and telecom operators, the hard part is not producing a clever chatbot, but getting artificial intelligence to work reliably inside old, messy and highly regulated systems.

Singapore-based fileAI is building for that less glamorous, but more valuable, part of the market. The company has secured investment from SMBC Asia Rising Fund, the corporate venture capital fund linked to Japan’s Sumitomo Mitsui Banking Corporation, and Singtel Innov8, the venture arm of Singtel Group.

The size and terms of the investment were not disclosed.

Also Read: fileAI secures strategic investment from JR East Group’s venture arm to expand in Japan

The funding will support fileAI’s expansion in Japan, where large enterprises are under pressure to digitise legacy processes without compromising governance, auditability or compliance. It will also go towards strengthening the company’s financial services capabilities and the rollout of fileScout, its new product for mapping and using unstructured enterprise data.

Unstructured data refers to information that does not sit neatly inside databases, such as contracts, PDFs, scanned forms, emails, invoices, policy documents, onboarding files and other formats that still carry much of an organisation’s operational knowledge. For companies in sectors such as banking, insurance, logistics and healthcare, these files are often where bottlenecks begin.

fileAI’s core product, fileForge, uses AI to capture, validate, match and reconcile data from such documents, before turning it into structured, audit-ready records that can be fed into enterprise systems.

“AI will become an operating layer for every major enterprise, but that future cannot be built on fragmented data, unreliable outputs or endlessly expanding computing costs,” said Christian Schneider, CEO of fileAI. He said the company’s third-generation processing pipeline and fileScout are designed to help organisations convert complex unstructured data into “trusted intelligence and production-grade workflows”.

Japan becomes a strategic test bed

The investment follows fileAI’s June 2026 partnership with JRE Ventures, the corporate venture capital arm supporting the JR East Group. That collaboration laid the groundwork for fileAI’s Japan presence and focused on applying governed AI agents to legacy contracts and operational documents.

Japan is a logical market for this kind of enterprise AI. The country has some of the world’s largest banks, insurers, industrial groups and transport operators, many of which still manage heavy volumes of paperwork and semi-digital processes. At the same time, an ageing workforce and chronic labour shortages have made automation more urgent.

For Southeast Asian startups, Japan has long been an attractive but difficult market. Buyers tend to be demanding, sales cycles can be long, and trust matters deeply. Corporate venture investors can therefore play a larger role than simply providing capital. In fileAI’s case, SMBC Asia Rising Fund offers access to banking and regulated enterprise networks, while Singtel Innov8 brings links to telecoms, infrastructure and enterprise customers across Asia, Australia and Africa.

fileAI plans to build a local Japan team across sales, engineering and customer success. That is important because enterprise AI deployment is rarely a plug-and-play exercise. Companies need local support to adapt workflows, integrate with internal systems, and ensure AI outputs can be checked, explained and audited.

This is also where fileAI is trying to position itself: not as a general AI tool, but as an infrastructure layer for companies that need AI to behave predictably inside mission-critical work.

From AI pilots to production workflows

Across Southeast Asia, many large organisations have already moved past the question of whether to experiment with AI. The bigger question now is how to put it into production without creating new risks.

Generative AI models can extract, summarise and classify information, but enterprises often need more than a plausible answer. They need traceability: where the data came from, whether it was validated, who approved it, and how it changed downstream systems. In financial services, a mistake in customer onboarding, covenant extraction, regulatory reporting or reconciliation can create compliance exposure.

fileAI says its platform is built around data capture, preparation, governance and orchestration. In simple terms, that means it is trying to turn messy files into clean business records, while leaving an audit trail.

Also Read: fileAI’s US$14M Series A fuels expansion of AI-driven document automation

The launch of fileScout fits into this broader shift. According to the company, the product maps unstructured enterprise data and helps reduce token costs. Tokens are the small units of text processed by AI models; the more tokens a system has to read and analyse, the higher the computing cost tends to be. For enterprises with millions of documents, reducing that load can matter commercially.

This is especially relevant in Asia, where many firms are eager to adopt AI but remain cost-sensitive. A bank, insurer or logistics group may have decades of documents in different formats, languages and systems. Feeding all of that into large AI models without a disciplined data layer can quickly become expensive and difficult to govern.

A crowded global field

fileAI is not alone in chasing this market. Its rivals include automation and intelligent document processing companies such as UiPath, Automation Anywhere, ABBYY, Hyperscience and Rossum, as well as cloud-based document AI services from Microsoft, Google and Amazon Web Services. Large consulting firms and systems integrators also build bespoke automation layers for banks and other enterprises.

Where fileAI will need to differentiate is in deployment depth, governance and regional fit. Global platforms have scale and distribution, but Asian enterprises often require localisation across languages, document formats, compliance expectations and legacy systems. That gives regional players an opening, particularly if they can prove reliability in heavily regulated sectors.

fileAI says it has processed more than 1 billion files across finance, insurance, supply chain, healthcare and core business operations. Its customers include MS&AD, Toshiba, PwC, KPMG, Nippon Paint and Keppel.

For the company, the next stage is about converting that operational track record into a broader regional and global push. Japan appears to be a key part of that plan, both as a major enterprise market and as a proving ground for AI in complex environments.

Boon Ping Chua, Managing Director of Singtel Innov8, said enterprises increasingly need to turn “complex, unstructured information into clean, structured data that enterprises can trust and use at scale”.

Mayoran Rajendra, Managing Director of the AI Transformation Department at SMBC, said the bank sees demand for solutions that unlock value from large volumes of documents and unstructured data, adding that fileAI’s capabilities could support “data accessibility, operational efficiency, and decision-making” in the AI era.

Also Read: Japan is moving into Southeast Asia faster than the West, and most brands haven’t noticed yet

The investment also reflects a broader pattern in Southeast Asia’s AI ecosystem. Instead of competing directly with foundation model giants, more regional startups are building application and workflow layers around enterprise pain points. The bet is that the next wave of AI value will not come from flashy consumer tools, but from fixing the hidden plumbing of business operations.

For fileAI, that plumbing starts with the files most companies already have — and the expensive, manual work still required to make sense of them.

The post fileAI expands in Japan with new backing from SMBC and Singtel Innov8 appeared first on e27.

Ajaib has closed US$270 million in equity financing from Japan’s SBI Holdings, a Series C the Jakarta-based fintech says was significantly oversubscribed and priced above its 2021 unicorn valuation, the largest sum raised by an Indonesian tech company in over four years.

The round brings Ajaib’s total funding past US$500 million, with earlier backers including DST Global and Ribbit Capital, following an earlier US$65M Series A from the same investor group.

Founded in 2019 by Stanford MBA classmates Anderson Sumarli and Yada Piyajomkwan, Ajaib began as a simple stock-trading app for first-time investors and has since expanded into crypto, US equities, payments, savings and stablecoin infrastructure. SBI isn’t coming in as a passive investor — it’s a strategic partner bringing brokerage, digital banking and digital-asset expertise, with chairman Yoshitaka Kitao framing the deal around tokenisation and the convergence of traditional and digital finance.

The raise lands at a moment when Singapore’s fintech funding has fallen sharply and late-stage capital across Southeast Asia has grown harder to secure, signalling that strategic money is still available for companies with scale and clear regulatory positioning. It also follows a broader regional pattern of super-apps chasing profitability, echoed in GoTo’s first profit signals a fintech-driven future.

Ajaib says the capital will fund regional expansion and hiring, as it competes against Stockbit, Bibit, Pluang, Pintu and Indodax at home, and Robinhood, Coinbase and Revolut abroad.

Editor.

REGIONAL

fileAI expands into Japan with new SMBC, Singtel Innov8 backing: Singapore’s fileAI has secured undisclosed investment from SMBC Asia Rising Fund and Singtel Innov8 to fund its Japan expansion and the rollout of fileScout, its new unstructured-data mapping product.

Malaysia’s OSKVI, Affin Hwang launch Pothos venture debt fund: OSK Ventures International and Affin Hwang Investment Bank have launched Pothos Fund I, a three-year venture debt fund targeting revenue-generating, high-growth Southeast Asian companies with stronger cash flows.

Singapore fintech funding falls to US$499M as dealmaking narrows: Fintechs in Singapore raised just US$499 million across 53 deals in H1 2026, KPMG’s Pulse of Fintech report found, a near-decade low, with two-thirds of the total from a single cross-border payments deal.

Rippling triples Singapore office as AI boom fuels global hiring: Workforce platform Rippling is expanding into a new Singapore office as tightening local talent competition pushes Singapore-headquartered firms to build international teams earlier in their growth.

ASEAN battery industry shifts from talk to factories and standards: At the 4th ASEAN Battery Technology Conference in Malaysia, the region confronted the industrial layer behind its EV ambitions, launching a Malaysia-Indonesia NMC-graphene pouch cell as a test of cross-border collaboration.

StashAway buys MakeGoodwill to add digital wills to its platform: Singapore’s StashAway has acquired digital wills platform MakeGoodwill, its first move beyond wealth accumulation, after finding three in four surveyed clients had no will at all.

A*STAR spin-off Bioactivx raises US$3M for synthetic skin grafts: Singapore deeptech startup Bioactivx has raised a pre-Series A round for Bioactiv Matrix, a fully synthetic, shelf-stable skin substitute for burns that needs no cold-chain storage.

Taiwan, Thailand deepen tech ties at Bangkok innovation day: Eleven Taiwanese startups pitched Thai corporates and investors at Taiwan Tech Solution Day in Bangkok, part of a cross-ministry push building on US$870 million in 2025 Taiwanese FDI into Thailand.

Singapore’s Aura launches private equity evergreen fund: The evergreen fund structure offers investors open-ended exposure to private equity without fixed redemption windows, a format gaining traction among family offices and high-net-worth individuals across Southeast Asia.

SEA data centres hit 85% equity raise mark since 2024: Tracxn data shows the bulk of regional data centre equity has been raised in under two years, reflecting accelerating infrastructure demand driven by cloud adoption and AI workloads across Southeast Asia.

Philippines and Meta agree on child safety measures after Zamboanga shooting: Following the Zamboanga social-media-linked shooting, Manila and Meta established a rapid response group and new content protocols, a rare instance of a Southeast Asian government extracting platform accountability commitments from Meta.

SEA EV sales accelerate as energy crisis deepens: Rising fuel costs are driving EV adoption across the region, with the energy crisis acting as a structural demand accelerant rather than a short-term spike.

Singapore leads global shopping app install growth at 67%: Adjust’s data puts Singapore ahead of all other markets in shopping app install growth, a signal of both consumer confidence and intensifying e-commerce competition in the city-state.

INTERVIEWS AND FEATURES

GenAI Fund: SEA’s real AI gap is trust, not language: Global models already speak Southeast Asia’s languages fine, says GenAI Fund’s Kai Yong Kang; the real barrier is whether enterprises trust AI to execute business processes securely at scale.

SEA isn’t losing the robotaxi race, it’s running a different one: Nevada just licensed 7,000 robotaxis in one announcement; Singapore runs 11. But that caution may be strategic; Grab is training autonomy systems on SEA’s chaotic traffic conditions first.

INTERNATIONAL

Meta’s US$1.8B child safety settlement hinges on flawed age-verification tech: The US state settlement commits Meta to sweeping platform changes, but enforcement depends on age-verification technology that researchers say remains unreliable, raising questions about real-world impact.

Meta agrees to restrict children’s access to apps in US states deal: As part of the settlement, Meta will overhaul default settings for minors across its platforms, changes that could set a precedent for how regulators in Southeast Asia approach platform accountability.

Capital F closes US$17M debut fund targeting the female economy: The fund backs startups serving women as consumers, entrepreneurs, and workers — a thesis gaining ground as gender-lens investing matures beyond ESG optics into dedicated VC strategies.

India’s Airbound raises US$37M to replace trucks with cargo drones: Airbound targets India’s freight sector with high-speed drones, a model with clear application across Southeast Asia’s archipelagic markets where last-mile logistics remain expensive and fragmented.

Amazon shuts down service Bezos once called “artificial AI”: The shutdown marks the end of a product Bezos publicly derided as superficially intelligent — a candid structural admission of the gap between AI marketing and genuine capability.

Bill Gates calls for robot tax and human-reserved jobs: Gates argues that governments must intervene with fiscal and labour policy to manage AI-driven displacement — a position likely to resonate in Southeast Asia, where manufacturing employment underpins economic stability.

Moody’s: AI boom shields Asia Pacific, but cushion is thinning: AI-hardware exports are masking weak domestic demand across the region, Moody’s Analytics warns, as inflation, currency volatility and an overstretched AI rally threaten the buffer.

Japan is moving into SEA faster than the West, quietly: Japanese outbound investment hit US$204 billion in 2025 as brands like Uniqlo and Muji pivot from factory floor to customer base across Vietnam, Indonesia and Thailand.

SEMICONDUCTOR

AI-driven memory shortage won’t ease until late 2027: analysis: HBM demand is crowding out capacity for phones, PCs and consoles as memory shifts from a cheapening component to a rationed one, with relief reaching AI infrastructure first.

Foxconn’s Shunsin to invest US$65M in chip packaging in Vietnam: The investment reinforces Vietnam’s growing role in advanced semiconductor packaging as global supply chains continue to diversify away from Taiwan and China.

OpenAI’s Jalapeño chip built for fast inference at scale: Benchmarks show OpenAI’s in-house silicon outperforms general-purpose GPUs on inference tasks, a move that could reduce OpenAI’s dependence on Nvidia and reshape the competitive AI chip landscape.

CYBERSECURITY

Deepfake scams are the new threat founder-led brands must face: A herbal-medicine entrepreneur’s face and voice were cloned by scammers to push unsafe diabetes treatments, the latest in a string of operational crises she’s learned to navigate.

AI

Nvidia closes in on Hugging Face acquisition: A deal would give Nvidia direct ownership of the world’s largest open-source AI model repository, consolidating hardware and model distribution under one roof and raising immediate antitrust questions.

100-plus AI companies call for action against rogue AI: OpenAI, Anthropic, Google, and over 100 others signed a joint statement urging coordinated global action on AI safety, framing misaligned AI as a near-term operational risk, not a distant theoretical concern.

AI memory crunch threatens Android app performance: Growing on-device AI workloads are straining Android RAM limits, with developers warning that memory constraints could bottleneck AI feature rollouts on mid-range devices dominant across Southeast Asia.

OpenAI’s executive exodus: what explains the departures?: A TechCrunch analysis unpacks leadership churn at OpenAI, pointing to structural tensions between the company’s non-profit origins, commercial ambitions, and Sam Altman’s consolidation of control.

THOUGHT LEADERSHIP

Why SEA agritech should build for M&A exits, not IPOs: With public listings unlikely for the sector, founders should build for strategic acquirers like food processors and plantation groups rather than chase venture-style IPO outcomes.

Agritech investors are learning that infrastructure matters most: Single-point farm apps are giving way to bundled platforms as investors realise physical rails, not software alone, determine which agritech companies actually scale in Southeast Asia.

Agritech’s next business model may stop charging farmers: Rather than billing smallholders directly, a new wave of agritech is shifting monetisation downstream to buyers and processors who’ll pay for traceability and compliance data.

Compliance, not speed, built the Philippines’ fintech boom: GCash parent Mynt’s potential US$8 billion IPO didn’t happen by accident — BSP’s regulatory plumbing went in years before the growth curve needed it, one contributor argues.

You built the brand; the internet let someone else use it: When an unrelated overseas platform began advertising under a similar identity, one Philippine fintech learned that AI-driven search has collapsed the geographic protection brands used to rely on.

The case for hybrid microfinance: AI plus social trust: AI-scored lending is quietly stripping out the group-solidarity mechanism that made microfinance work for decades, pricing the poorest borrowers highest rather than subsidising them.

SEA’s new startup playbook: from velocity to positioning: As AI collapses the cost of building competent products, brand becomes environmental rather than cosmetic — shaping what investors and customers believe before evaluation even starts.

What if you segmented customers before building the product?: Pricing bolted on three weeks before launch is a top reason products fail — willingness-to-pay research belongs upstream, not as an afterthought, one contributor writes.

The Philippines doesn’t need to build AI to gain an edge: As AI absorbs routine BPO work, the country’s next advantage may lie in training workers to judge AI output rather than merely execute tasks.

SEA’s next climate unicorn could be built from farm waste: Biochar sits at the intersection of haze reduction, soil health and carbon removal — with the Philippines and Thailand already generating certified carbon revenue from the material.

SEA’s next century will be built on bridges, not blocs: Rather than choosing between US, Chinese or Japanese technology, the region’s advantage may be becoming skilled at connecting capabilities from all of them, one contributor argues.

ASEAN’s second digital wave runs on megawatts, not software: Johor’s data-centre demand has more than doubled in a year to nearly 3.8GW, exposing a grid-delivery crunch that solar and gas alone can’t fix.

When the buyer is a bot: staying eligible in AI procurement: As B2B purchasing shifts to AI agents, SEA startups have an unusual edge; agents don’t care about brand reputation, only published, verifiable facts.

Taste is the last moat: swapping wearables for wine: After three years optimising a sleep score, one founder found that AI can collapse a learning curve but can’t replace the judgement built from lived experience.

How AI is speeding up Indonesia’s creative economy: A 90-episode microdrama series shot in three weeks shows what’s possible, but flat-dollar pricing on professional AI tools risks locking out most of Indonesia’s 27 million creative workers.

Asian startups have an investor problem nobody is naming: Unlike the US, Asia’s exited founders rarely become check-writing operator-investors, leaving founders stuck explaining validation channels their VCs have never heard of.

Will BlackRock keep buying to push Bitcoin past US$83,000?: BlackRock’s iShares Bitcoin Trust bought US$200.76 million in a single day as ETF reserves expanded US$22 billion since mid-August, with Bitcoin testing resistance near US$83,000.

Who really moves Bitcoin now? Fidelity’s nine-day buying streak: Fidelity clients have been net buyers for nine straight days as regulated ETF flows increasingly set the marginal price of Bitcoin over retail speculation.

Bitcoin touched US$81,000: rally or forced repricing?: A short squeeze wiped out US$260 million in Bitcoin shorts within four hours, but US Treasury bond buybacks doubling to US$4 billion suggest more than pure leverage is behind the move.

Is US$63,750 the only line between Bitcoin and US$62,000?: A surprise US jobs contraction and a major corporate treasury sale pushed Bitcoin below its 50-day moving average, with US$63,750 now the key support to watch.

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Last week, Nevada regulators handed Tesla permits for up to 5,000 robotaxis in the Las Vegas area, with Waymo and Uber each cleared for another 1,000. That is roughly 7,000 permitted autonomous vehicles for a single US metro area, in a single announcement.

Meanwhile, in Punggol, Singapore, Southeast Asia’s most advanced public robotaxi trial, Grab and WeRide are running 11 vehicles along two fixed routes, free of charge, with commercial fares still pending.

Also Read: Grab makes strategic bet on WeRide to drive autonomous mobility in SEA

The contrast is stark enough to look like a failure of nerve. It isn’t. But it is a warning that Southeast Asia’s autonomous vehicle strategy needs to become a lot more deliberate before the gap becomes a gulf.

The scale gap is real, and it’s not just about money

Start with what Las Vegas actually signals. Nevada’s willingness to license fleets in the thousands, rather than tens, marks a shift from “pilot” to “infrastructure.” Tesla, Waymo and Uber are now treating a single city as a live commercial market, not a proof of concept. The US is betting that regulatory boldness, not just capital, is the scarce resource in the robotaxi race.

Southeast Asia has capital. Grab is Southeast Asia’s largest ride-hailing and delivery operator, and it has spent the past two years building exactly the kind of partnerships this moment calls for: an investment in Chinese autonomous driving firm WeRide and a separate tie-up with Michigan-based May Mobility aimed at adapting self-driving systems to the region’s roads. What the region has not had, until now, is a Nevada-style regulator willing to license fleets at four-digit scale.

That caution is not irrational. It is the product of genuinely harder conditions.

Why Southeast Asia moved slower and why that’s defensible

Singapore’s own roadmap targets only 100 to 150 self-driving vehicles by the end of 2026, a rounding error next to Las Vegas’s new permits. But Singapore’s roads, like most of the region’s, mix motorcycles, informal transport, unpredictable pedestrian crossings and left-hand traffic patterns that US autonomy stacks were never trained on. May Mobility’s own framing of the challenge is instructive: its CEO has said the plan is to bring the company’s autonomy system to the region as early as regulators allow, without committing to a specific market first. That is an admission that the technology, not just the paperwork, still needs local adaptation.

Also Read: Can autonomous delivery vehicles handle the chaos of real roads?

The caution is also informed by recent failures elsewhere. Robotaxi passengers have been left stranded for hours when a fleet’s software or connectivity failed, and a self-driving vehicle in China reportedly ended up in a construction pit. A regional operator scaling to thousands of vehicles before the technology has proven itself on SEA’s specific road conditions would be inviting exactly that kind of incident, at a much larger, more damaging scale.

So the 11-vehicle fleet in Punggol isn’t timidity. It’s a deliberate, government-coordinated test run, with Grab’s driver-partners retrained as safety and remote operators rather than displaced outright. That is a meaningfully different model from Nevada’s regulatory greenlight-and-scale approach, and arguably a more exportable one, for markets that cannot afford Las Vegas-style mistakes.

The leapfrog Southeast Asia can still make

Here is where the region has a genuine opening, rather than just an excuse. Grab is not simply importing American or Chinese autonomy technology; it is feeding its own mapping and routing data into May Mobility’s system specifically so the technology learns Southeast Asian traffic before it scales.

That is the leapfrog move: skip the “American roads first” assumption entirely, and build an autonomy stack whose first real-world competence is in the traffic conditions most of the world’s fast-growing cities actually have, not the wide, well-marked boulevards of Las Vegas.

If Southeast Asia gets this right, the region doesn’t just catch up to Nevada’s numbers eventually. It ends up holding the more commercially valuable asset: autonomous driving systems proven on the chaotic, mixed-mode traffic that characterises most of Asia, Africa and Latin America, rather than systems calibrated for wide American arterial roads. Nevada is optimising for scale in a forgiving environment. Singapore, if it moves deliberately, is optimising for robustness in an unforgiving one and robustness travels further.

What has to happen next

Three things need to move faster than they currently are.

First, regulators across the region, not just Singapore’s Steering Committee on Autonomous Vehicles, need clearer, published pathways from pilot to commercial fare, so operators can plan capital deployment instead of guessing at timelines.

Second, insurance and liability frameworks for mixed autonomous-human traffic need to exist before fleets scale past a few dozen vehicles, not after an incident forces the issue.

Third, the labour transition Grab has started — retraining driver-partners as safety and remote operators — needs to become an explicit regional policy commitment, not a single company’s goodwill gesture, given how many SEA livelihoods depend on ride-hailing and delivery work.

Also Read: Autonomy vs anarchy: How do we secure the future of autonomous transportation?

None of this means Southeast Asia should try to match Las Vegas vehicle-for-vehicle. It shouldn’t, and it can’t — not yet, and possibly not for years. But the region does need to stop treating its caution as a plan in itself. Caution bought Singapore a working 11-vehicle trial with real ridership data and a retrained workforce. It has not yet bought the region a credible answer to the question Nevada just asked out loud: what happens when robotaxis stop being a pilot and start being a market?

Southeast Asia has the ingredients — the superapp distribution, the local road data, the capital, the regulatory relationships — to answer that question on its own terms rather than importing someone else’s answer wholesale. What it doesn’t have yet is a timeline. Until it does, Las Vegas gets to write the scale story, and the region only gets to write the caveat.

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For much of the past decade, agritech in emerging markets carried a familiar venture capital promise: take a messy, offline industry, add software, and watch scale follow. A farmer advisory app here, a weather tool there, a digital marketplace somewhere else. The thesis was neat, asset-light and easy to pitch.

It also underestimated the reality of agriculture in markets where roads are patchy, cold chains are thin, trust is local, and farmers often need cash, transport and buyers long before they need another dashboard.

Also Read: Agritech’s next business model may not charge the farmer

That gap is now reshaping the sector, reveals the “AgTech Investment in Emerging Markets 2025” report released by AgBase, Briter, and Mercy Corps. Since the post-2023 funding slowdown, investors have become less willing to underwrite thin-margin growth stories that rely on rapid user acquisition but lack control over the physical value chain.

In Southeast Asia, where millions of smallholders remain central to food supply but operate across fragmented markets, the lesson is becoming harder to ignore: upstream agritech is moving from single-point apps to bundled platforms.

The new winners are not just digitising agriculture. They are building the missing rails around it.

The limits of the single-use farm app

The early agritech boom borrowed heavily from Western software-as-a-service models. Startups built products for agronomic advice, market price discovery, weather alerts, crop monitoring and farmer marketplaces.

In theory, these tools helped smallholders make better decisions. In practice, many ran into the same wall: farmers’ margins are too thin, incomes too seasonal, and pain points too physical for standalone software subscriptions to work at scale.

A farmer dealing with spoiled produce, no transport to market, rising fertiliser prices or a lack of working capital is unlikely to keep paying for an information-only product. Even when the product is useful, willingness to pay is limited. The economics become worse when a startup must spend heavily on field onboarding, farmer education and trust-building, only to earn a small subscription fee from a customer who may engage only during planting or harvest cycles.

This is the classic customer acquisition cost versus margin trap. High acquisition costs cannot be recovered from low-value, single-service relationships. The result has been a “pilot economy” across many emerging markets: promising tools tested with donors, development agencies or corporates, but unable to convert pilots into durable commercial models.

Southeast Asia has seen its own version of this. Digital farmer tools have often shown encouraging usage in controlled programmes, only to struggle once subsidies end. Indonesia’s post-boom correction in agritech was particularly telling. Models that expanded fast on the assumption that software-led scale would solve operational weakness found that food systems do not behave like consumer internet markets.

Why the bundle is becoming the business model

The emerging answer is not to abandon technology, but to place it inside a broader operating system. Modern agritech platforms increasingly bundle physical market access, input supply, financing, insurance, logistics, traceability and buyer relationships. This “phygital” model — part digital, part physical — is less elegant than pure software, but better matched to the market.

Also Read: Why Indonesia’s agritech winners will be phygital, not purely digital

The logic is straightforward. If a platform spends money to acquire and serve a farmer, it needs multiple ways to earn from that relationship. Selling quality seeds or fertiliser creates recurring engagement. Arranging transport and aggregation secures crop volume. Providing credit or pay-as-you-go equipment financing deepens loyalty. Connecting processors and buyers to verified supply opens downstream monetisation.

This shifts the platform from being a vendor to becoming infrastructure. It also changes who pays. Rather than charging farmers directly for every service, stronger models capture value from processors, exporters, retailers and food companies that need reliable sourcing, traceability and resilience. In a region where food manufacturers and agribusinesses face climate risk, volatile supply and tightening sustainability requirements, that downstream demand matters.

The bundle can also reduce churn. A farmer using one app for advice may leave easily. A farmer who buys inputs, receives seasonal credit, sells produce through the same network, and builds a repayment history inside the platform is far more likely to stay, provided the service delivers real income gains.

From coordination layer to infrastructure substitute

In mature markets, agritech platforms can often act as coordination layers. They plug into existing logistics providers, financial systems, farm data sets, insurance products and storage infrastructure. Their job is to optimise.

In much of Southeast Asia, the job is more basic: create what is missing.

That may mean building aggregation hubs, managing field agent networks, arranging transport, financing cold storage, verifying land or farmer identities, and collecting transaction data from scratch. These are not side activities. They are the operating foundation.

This is where the “winner-does-all” dynamic begins to emerge. The first platforms that can build dense networks of farmers, buyers, credit data and physical touchpoints gain advantages that are difficult to copy. Each transaction improves knowledge of farmer behaviour. Each buyer relationship strengthens demand visibility. Each repayment cycle improves credit scoring. Each aggregation node increases control over quality and volume.

The catch is that this model is capital-intensive and operationally unforgiving. It requires execution discipline closer to logistics, finance and supply chain management than to conventional software. It also means that “asset-light” is no longer always a virtue. In markets with weak infrastructure, refusing to touch assets can mean refusing to solve the real problem.

Fintech works best when it is hidden inside the stack

Agricultural finance remains one of the biggest opportunities in the sector, but standalone lending is rarely enough. Farmers need liquidity at specific moments: to buy inputs, rent machinery, pay labour or bridge the period before harvest income arrives. Lenders, meanwhile, struggle with limited credit histories, weather risk and repayment uncertainty.

Also Read: Agritech does not empower women farmers, until the system is fixed

Embedded fintech offers a more practical route. When credit is tied to inputs, equipment, insurance or guaranteed offtake, it becomes part of a controlled transaction loop. The platform can assess risk through purchase history, crop cycles, delivery records and buyer contracts. Repayment can be linked to harvest sales, reducing leakage.

This is why finance should be seen as the grease in the system, not the product itself. Pay-as-you-go models can help farmers access irrigation pumps, machinery or other productivity-enhancing assets. Working capital can increase transaction volume. Insurance can protect both farmer and lender. But the financial product works best when it sits inside a broader commercial relationship.

For Southeast Asian markets exposed to floods, droughts and price swings, that integration is becoming more important. Climate volatility makes lending riskier, but it also increases the value of platforms that can combine data, advisory, insurance and assured market access.

Capital has to match the terrain

The shift towards bundled agritech also demands a different funding playbook. Short-horizon venture capital can push companies towards rapid expansion before their operating systems are ready. That approach may suit software products with low marginal costs, but it can damage infrastructure-heavy models that need time to prove unit economics market by market.

A more realistic capital stack is layered. Development finance institutions and donors can help fund high-risk foundational infrastructure or provide first-loss capital. Corporate investors can bring offtake agreements, technical support and supply chain integration. Commercial equity is better suited once a platform has proven its economics and can scale without burning cash for every new district or province.

This matters in Southeast Asia because infrastructure gaps vary widely. A model that works in Vietnam’s coffee supply chains may not translate directly to Indonesia’s island geography or the Philippines’s fragmented logistics. Thailand’s more developed agribusiness networks present different opportunities from Cambodia or Laos. The capital and operating model must fit the local bottleneck.

The likely exit paths may also differ from the venture script. Some platforms may not head towards public markets. Strategic acquisition by agribusinesses, food processors, commodity traders, fintech groups or climate-focused supply chain companies may be more plausible.

The next phase of agritech

The death of the upstream single-point app does not mean digital agriculture has failed. It means the sector is becoming more honest about what digitisation requires.

In fragmented food systems, software alone rarely changes outcomes. It must be tied to trust, logistics, finance, buyers and physical presence. The companies that endure will be those willing to do the unglamorous work of building networks, collecting reliable data, managing field operations and solving several farmer problems at once.

Also Read: From Lagos to Jakarta: Why SEA agritech needs Africa’s “boots on the ground” playbook

For Southeast Asia, the stakes go beyond startup returns. Food security, rural incomes and climate resilience all depend on better-functioning agricultural markets. The next generation of agritech leaders will not win by owning the slickest app. They will win by owning, or at least orchestrating, the bundle that makes the whole system work.

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I observe that the digital asset sector’s total valuation has expanded to US$2.66T, up 0.98 per cent over the last 24 hours. This upward trajectory reflects a distinct shift in financial mechanics, in which regulated allocation dictates price action more than retail speculation. My analysis reveals an ecosystem that is heavily influenced by macroeconomic forces and traditional investment vehicles rather than by isolated technological breakthroughs.

The broader crypto landscape currently shares a 59 per cent correlation with the S&P 500 and a 67 per cent correlation with gold. These statistical relationships highlight how traditional financial narratives now dominate digital asset pricing models. Investors clearly treat these tokens as alternative stores of value and macro-sensitive instruments. This convergence is a permanent maturation of the asset class. The alignment with traditional equities and precious metals proves that large capital allocators view digital assets through the same risk-management lenses they apply to legacy markets.

Regulated exchange-traded funds continue to absorb massive amounts of underlying assets, driving the current bullish momentum. United States spot Bitcoin exchange-traded funds accumulated 4,038 Bitcoin tokens, representing US$316.54M in fresh capital, on August 26. Ethereum investment products simultaneously attracted 75,150 Ether tokens, totalling US$184.32M. This aggressive accumulation provides a robust foundation for price appreciation.

Fidelity clients have acted as net buyers for nine consecutive days, underscoring a persistent and deliberate allocation strategy by traditional finance giants. I view this consistent daily buying pressure as the primary engine sustaining the current rally. Retail traders often chase momentum, but institutional desks execute systematic accumulation strategies that anchor the price floor.

The continuous injection of massive amounts of daily capital through regulated channels completely alters supply dynamics. Participants must closely monitor the daily flow data because sustained inflows are absolutely necessary to maintain this upward trajectory. Wall Street desks now control the marginal pricing of these assets because their sheer volume overwhelms organic retail demand.

Also Read: Bitcoin touched US$81,000: Was that a rally or a forced repricing?

Bitcoin registered a modest 0.63 per cent increase to US$78,852.61, slightly underperforming the broader sector’s 1.1 per cent gain. This divergence stems directly from the macro-driven nature of the current rally. The leading cryptocurrency currently exhibits a strong 71 per cent correlation with gold over this specific period. Analysts attribute this synchronised movement to renewed focus on United States Treasury buybacks in long-dated bonds and ongoing currency debasement trades.

This price action is clear evidence that the premier digital asset currently functions primarily as a macro instrument. Traders react to shifts in global liquidity and currency expectations rather than internal ecosystem developments. The lack of a distinct coin-specific catalyst further supports this macro thesis. The modest price increase aligns perfectly with residual positioning flows rather than the start of a brand-new explosive trend. Observers must monitor changes in the 10-year Treasury yield and the DXY index, as these traditional metrics directly influence the direction of this trade.

Trading volume for the leading cryptocurrency fell by 36.9 per cent, indicating a lack of aggressive new buying from speculative participants. Positive regulatory developments also amplify the current uptrend and encourage broader participation. Social media platforms are buzzing with anticipation about the upcoming Senate vote on the CLARITY Act, which lawmakers have scheduled for September 15. This legislation promises to provide permanent regulatory clarity for the entire digital asset sector.

I believe the ecosystem aggressively prices in this reduced regulatory risk, which encourages traditional institutions to allocate capital without fear of sudden enforcement actions. This optimism is evident in the current Fear and Greed Index reading of 81, indicating extreme greed among participants.

While high sentiment readings validate the bullish trend, they also suggest the environment may be overextended in the short term. Traders often buy the rumour and sell the news, so this extreme greed warrants careful risk management. Participants should track the progress of the CLARITY Act and watch for any sudden shifts in sentiment metrics, as these elements will dictate near-term volatility.

Also Read: Bitcoin and Ethereum just flushed US$1.44B in shorts and the real test begins now

Technical indicators paint a clear picture of the immediate hurdles and support zones for both the total landscape and individual tokens. The overall digital asset direction in the coming week hinges entirely on the US$2.54T support level, which represents the 23.6 per cent Fibonacci retracement. If institutional inflows continue, the total capitalisation could easily test the recent high near US$2.66T again. A break below US$2.54T would signal a distinct shift in momentum and trigger a deeper pullback toward US$2.47T.

The market is currently in a holding pattern, testing whether recent gains can hold without an immediate catalyst. Maintaining structural integrity requires continuous capital injection to fend off profit-taking. I maintain that the structural integrity of this rally depends entirely on these daily capital injections. Without consistent buying, the ecosystem will likely succumb to profit-taking and revert to lower support zones. Algorithmic trading models place heavy weight on these specific Fibonacci levels when executing large block trades.

Bitcoin faces its own specific technical battleground as it consolidates between the Fibonacci support zone of US$78,290 to US$78,490 and resistance near US$79,340. The 61.8 per cent retracement level at US$78,290 provides a crucial floor for the leading cryptocurrency. The seven-day Relative Strength Index currently sits at 57.08, suggesting neutral momentum and leaving room for movement in either direction. A daily close above US$79,340 would signal a definitive breakout, while a break below US$78,290 would indicate a deeper pullback toward US$77,640.

Market participants eagerly await the next United States spot Bitcoin exchange-traded fund flow data, due on August 27, to gauge whether institutional demand can reignite bullish momentum. A seven-day streak of positive inflows sets a high bar for the upcoming reports. I firmly believe that disciplined observation of these specific data points will separate successful traders from those who suffer unnecessary losses during sudden corrections.

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Singapore’s artificial intelligence boom is beginning to show up in an unexpected place: the back office.

Rippling, the US$16.8-billion workforce management platform, is expanding its Singapore operations and moving into a new office at OCBC Centre East, as it nearly triples its local office-based workforce from August.

The US-headquartered company said the move reflects rising demand from Singapore businesses that are hiring across borders earlier in their growth journey, particularly as competition for engineering, data, product and AI talent tightens at home.

Also Read: The transformation ecology crisis: How AI is exposing the hidden fragility of high-performing teams

The expansion is not just about office space. It points to a broader shift in how startups and growth-stage companies in Southeast Asia are building teams. The old model — hire locally first, expand region by region, then stitch together payroll and HR systems as needed — is becoming harder to sustain. For many companies, the talent they need may be in India, Vietnam, the US, Europe or elsewhere in Asia Pacific, while their headquarters remain in Singapore.

That creates a practical problem. Hiring globally may help companies move faster, but it also adds layers of compliance, payroll, benefits, device management, security access and employee data across multiple jurisdictions. Rippling’s bet is that more companies will want those functions managed from one system rather than spread across disconnected tools.

Singapore’s growth story becomes a talent problem

The timing of Rippling’s expansion is closely tied to Singapore’s current economic cycle. The country has become one of Asia Pacific’s most important technology hubs, supported by AI investment, advanced manufacturing, semiconductor demand and its role as a regional headquarters base for multinational companies.

According to figures cited by Rippling, Singapore’s economy grew 5.7 per cent year on year in the second quarter of 2026. Manufacturing expanded 12.2 per cent, driven largely by AI-related demand for semiconductors and semiconductor manufacturing equipment.

That growth has sharpened an already tight labour market. Singapore had 73,300 job vacancies in March, equivalent to 146 vacancies for every 100 unemployed people, while unemployment stood at just 2 per cent in May. For startups and tech companies, the pressure is particularly acute in specialised roles such as AI engineering, data science, product management and cybersecurity.

This matters for Southeast Asia because Singapore often acts as a launchpad for regional companies with global ambitions. Founders may incorporate, raise capital and hire senior leadership in Singapore, but their commercial, technical and support teams can quickly spread across several markets. The more distributed the team becomes, the harder it is to maintain a consistent employee experience and operational control.

“Singapore’s AI boom is not only a technology story; it’s a talent story,” said Fiona Fergus, HR Business Partner, APAC at Rippling. “The country is producing global businesses and attracting significant investment, but that growth is intensifying competition for specialist skills that are already in short supply.”

The operational drag of global hiring

Rippling brings HR, payroll, IT and finance functions into one platform, giving companies a single source of workforce data. In practice, that means a business can onboard employees, manage payroll, assign devices, control software access and monitor workforce spending from the same system.

Also Read: AI won’t replace leaders, but it will expose weak leadership

This is where the company sees an opening in Singapore. As more startups expand into the US, Europe and Asia Pacific, they often accumulate a patchwork of local payroll providers, employer-of-record services, HR databases, IT systems and finance workflows. Each tool may solve one problem, but together they can make it harder for management teams to see who works where, what they cost, what systems they can access and whether the company is compliant.

Fergus said Singapore-headquartered companies are now building international teams earlier than before. “They want the flexibility to hire the best people wherever they are, while keeping workforce data, systems and operations connected,” she said.

The company is also positioning itself around AI governance, a newer concern for employers as staff begin using generative AI tools across daily workflows. Rippling’s AI Governance solution is designed to help companies control access to AI tools, track usage and spending, and manage AI agents in real time. For Singapore companies operating in regulated or security-conscious sectors, that oversight could become more important as AI moves from experimentation to everyday operations.

A Singapore startup case study

One local example is k-ID, a Singapore startup founded in 2023 that provides safety and compliance infrastructure for digital platforms serving children and teenagers. The company began with eight people and has since grown to more than 60 full-time employee and employer-of-record hires across 12 countries in Asia-Pacific, North America and Europe.

k-ID has used Rippling since 2024. For co-founder and Chief Safety and People Officer Jeff Wu, the issue was not simply managing headcount today, but avoiding a rebuild later.

“As we started hiring internationally, we needed infrastructure that could scale with us,” Wu said. “We wanted an HR system we could still be running at 100, 200 or even 500 people, without having to rebuild everything.”

He added that global hiring quickly exposes companies to different employment, payroll and benefits requirements. “When someone joins k‑ID, we want them to have the same employee experience no matter where they are in the world,” he said.

That consistency is becoming a bigger priority for venture-backed startups in the region. Distributed hiring gives young companies access to deeper talent pools, but it can also create uneven employee experiences if onboarding, benefits, equipment, security and HR support vary widely by country.

A crowded global workforce software market

Rippling is not alone in chasing this opportunity. The global workforce management market includes large incumbents such as Workday, ADP, SAP SuccessFactors and Oracle, which serve many enterprise customers. It also overlaps with newer global hiring and payroll companies such as Deel, Remote and Oyster, which have grown quickly by helping companies employ people across borders. For smaller businesses, platforms such as Gusto, HiBob and BambooHR compete around payroll, HR information systems and employee management.

Rippling’s pitch is that it combines HR, IT and finance in one data layer, but in Southeast Asia it will still need to win trust in a market where companies often mix global software with local payroll and compliance providers.

Its Singapore expansion suggests the company sees the region not merely as a sales outpost, but as a base for serving increasingly global Asian companies. Bringing previously remote employees together in a larger office could help Rippling work more closely with customers and partners across Asia-Pacific.

Also Read: The hidden problem inside AI teams isn’t skills — it’s the human environment

For Singapore’s startup ecosystem, the move also reflects a deeper reality: the next stage of growth will be less about whether companies can hire abroad, and more about whether they can manage those teams without slowing themselves down.

As AI investment accelerates and talent shortages persist, the companies that scale best may not be the ones with the largest offices, but those with the operational systems to make a borderless workforce feel coherent.

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Singapore’s fintech market entered 2026 with a familiar contradiction: its strategic appeal remains intact, but capital has become much harder to win.

Fintech companies in the city-state raised just over US$499 million across 53 deals in the first half of 2026, according to KPMG’s Pulse of Fintech H1 2026 report. That is a sharp fall from roughly US$1.45 billion across 97 deals in the same period last year and marks Singapore’s weakest first-half fintech investment performance in close to a decade.

Also Read: Southeast Asia solved distribution: Now fintech has to scale on the balance sheet

The headline number, however, masks a more uneven market. Funding was almost frozen in the first quarter, with about US$88 million raised across 26 deals. Activity then rebounded in the second quarter to around US$411 million across 27 deals, but the recovery was heavily dependent on one transaction: a US$320 million round for a cross-border payments platform in June.

That single deal accounted for close to two-thirds of all fintech investment into Singapore during the half. In other words, Singapore did not see a broad-based funding revival. It saw a market where investors were willing to write large cheques, but only for a small number of companies they considered mature enough, defensible enough, and central enough to the region’s financial infrastructure.

“The headline number tells only part of the story,” said Anton Ruddenklau, Partner and Head of Financial Services at KPMG in Singapore. “What we are seeing in Singapore mirrors the global market, where investors are being far more selective, consolidating capital behind a small number of scaled, high-conviction platforms rather than funding behaviour we saw in prior years.”

A funding market that rewards proof, not promise

The shift is stark when viewed against Singapore’s recent fintech cycle. In H1 2022, the country recorded US$3.54 billion in fintech investment across 234 deals, driven by abundant venture capital, pandemic-era digitisation, and investor enthusiasm for everything from digital banks to crypto infrastructure.

By H1 2026, deal volume had fallen to 53, less than a quarter of the level seen four years earlier. The value of investment was also below H1 2019, when Singapore fintechs raised US$610 million across 85 deals.

This does not mean Singapore has lost its fintech relevance. Rather, the market has moved from expansion to filtration. Investors are no longer rewarding growth stories by default. They are asking whether a company has revenue quality, regulatory resilience, enterprise demand, and a credible path to profitability.

That matters for Southeast Asia because Singapore remains the region’s main fintech capital formation hub. Many startups that serve Indonesia, Vietnam, the Philippines, Thailand, and Malaysia still use Singapore as a fundraising, regulatory, or headquarters base. A slower Singapore funding market therefore affects not only local startups, but also regional fintech companies that rely on the city-state to access institutional capital.

Payments still anchor Singapore’s fintech story

Payments remained one of Singapore’s most important fintech verticals in H1 2026, even though the numbers were unusually concentrated. The sector drew US$332 million across three deals, with the US$320 million June transaction accounting for nearly all of that value.

The continued interest in payments is not surprising. Southeast Asia is still a fragmented market when it comes to moving money. Businesses operating across the region often deal with multiple currencies, uneven banking rails, complex compliance rules, and slow settlement timelines. Cross-border payment platforms that can reduce friction in this environment sit close to real commercial demand.

For investors, the most attractive payment companies are no longer those promising consumer wallet adoption at any cost. The focus has shifted to infrastructure: platforms that help businesses move money, manage foreign exchange, comply with regulations, and plug into banking systems.

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This reflects a broader pattern across the region. As digital commerce, travel, remittances and B2B trade expand across borders, payment infrastructure becomes less of a standalone product and more of a core operating layer for companies. Singapore’s role as a regional treasury and financial services hub makes it a natural base for such platforms.

Crypto activity survives, but at earlier stages

Digital assets and cryptocurrency accounted for the largest share of deal activity in Singapore, with 27 deals in H1 2026. Yet the disclosed value was far smaller, at US$95.5 million, suggesting that most cheques were modest.

KPMG’s data shows that much of this activity was concentrated at seed and early stages, with 15 of the 27 digital asset and crypto deals falling into that category. The companies funded ranged from exchange and brokerage platforms to cross-chain tools and other digital asset infrastructure plays.

This is an important distinction. The crypto market that attracted speculative capital in 2021 and 2022 has largely disappeared. What remains in Singapore is more institutional and infrastructure-led. Startups are being built around regulated digital asset services, crypto payments, tokenisation, and tools that connect blockchain networks.

Singapore’s regulatory stance has helped shape this market. The Monetary Authority of Singapore has taken a tougher line on retail crypto speculation while continuing to support institutional use cases such as tokenised assets, stablecoin frameworks, and wholesale settlement experiments. That has made the city-state less hospitable to hype, but more credible for companies trying to build regulated financial infrastructure.

For Southeast Asian founders, this could be a double-edged sword. Singapore offers trust, talent, and regulatory clarity, but it also raises the bar. Early-stage crypto startups can still raise capital, but they need to show they are solving real infrastructure problems rather than chasing token-driven growth.

AI becomes part of the fintech stack

Artificial intelligence and machine learning featured in 18 of Singapore’s 53 fintech deals and accounted for US$365.9 million in disclosed value. Because deals are often tagged to more than one vertical, this overlaps with categories such as payments, crypto, and insurance.

The more interesting story is where AI is being applied. Later-stage deals clustered around software that embeds AI into existing financial workflows, including cross-border payments, investment research, insurance claims, credit-risk modelling, and document processing.

That says something about how fintech investors now view AI. They are not simply backing companies because they use the technology. They are looking for businesses where AI improves margins, automates manual processes, or strengthens an existing product.

At the seed and early stage, KPMG noted interest in agentic software and infrastructure. Agentic AI refers to systems that can carry out tasks with a degree of autonomy, rather than simply responding to prompts. In finance, that could eventually reshape how transactions are executed, how compliance checks are run, and how investment or credit decisions are supported.

The opportunity is significant, but so are the risks. Financial services is a heavily regulated industry where errors can have serious consequences. In Southeast Asia, where regulatory regimes differ widely from one market to another, AI fintechs will need to prove not only technical performance, but also explainability, governance, and compliance.

Singapore follows a global concentration trend

Singapore’s slowdown came as global fintech investment moved in the opposite direction by value. Worldwide fintech investment across venture capital, private equity, and M&A rose from US$72.2 billion in H2 2025 to US$103.1 billion in H1 2026, putting the sector on track for its strongest annual performance in four years.

But here too, deal volume weakened. Global fintech deal count fell from 2,500 in H2 2025 to 2,100 in H1 2026. The Americas dominated activity, attracting US$86.9 billion across 1,120 deals, with the US alone accounting for US$80.8 billion across 933 deals. By contrast, fintech investment in Asia-Pacific remained muted, declining from US$7.1 billion across 426 deals in H2 2025 to US$4.6 billion across 350 deals in H1 2026.

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The message is clear: fintech capital has not disappeared, but it has become more selective. Large transactions, especially in payments and AI-enabled fintech, are pulling up global totals, while smaller startups face a more difficult fundraising environment.

For Singapore, this may not be entirely negative. A leaner market can force stronger business discipline and reduce capital flowing into weak models. But it also means fewer young companies will get the chance to experiment, particularly in sectors where regulatory approval, infrastructure development, and regional expansion require patience.

The city-state’s fintech ecosystem is still built on durable advantages: a trusted regulator, deep links to regional markets, strong financial institutions, and a concentration of venture and corporate capital. What has changed is the cost of convincing investors.

In 2026, being based in Singapore is no longer enough. Fintech startups must show they can solve real cross-border problems, operate within tighter compliance expectations, and build businesses that survive beyond the next funding cycle.

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