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Agentic economy: The real promise of AI and crypto convergence

The convergence of Artificial Intelligence and cryptocurrency represents far more than a passing market fascination. It signals a fundamental rearchitecture of how value moves, how decisions execute, and how intelligence itself gets distributed across digital networks. By early 2026, we will be witnessing AI-driven crypto agents and decentralised infrastructure networks actively reshaping blockchain utility, market analysis, and automated trading.

This sector’s market capitalisation frequently surges on increased adoption and developer activity, but the real story lies beneath the price charts. We are observing the emergence of a new operational paradigm where autonomous intelligence and decentralised trust protocols fuse to create systems that are not only more efficient but also more resilient and transparent than their centralised predecessors.

The rise of the AI agent economy marks a pivotal evolution. These are no longer simple chatbots confined to answering questions. They are becoming autonomous actors capable of making independent decisions and executing transactions directly on-chain. Networks like Solana provide the necessary high speeds and low fees that allow these agents to operate at scale.

This shift enables agentic finance, where AI begins managing portfolios, optimising DeFi yields, and conducting what we might call agentic commerce. The potential scale is staggering, with projections suggesting these agents could handle billions in transactions by 2030. This is not merely automation. It represents a transfer of financial agency from human hands to algorithmic processes that can operate continuously, analyse vast datasets in real time, and execute complex strategies without fatigue or emotional bias.

Decentralised physical infrastructure networks, or DePIN, provide the critical backbone for this intelligent future. These projects use crypto incentives to aggregate idle GPU power from around the globe, creating a decentralised alternative to the high-cost, centralised providers that currently dominate AI training. This model not only reduces barriers to entry for developers but also aligns with a core principle of the crypto ethos: distributing power and access.

Also Read: Why AI agents need clean data, and why Cambodian real estate isn’t ready yet

Simultaneously, AI enhances the security of these very systems. Machine learning models now detect fraud patterns, identify phishing attempts, and monitor for wallet compromises in real time. This proactive defence layer is essential for DeFi protocols that manage significant value and operate without traditional intermediaries. The synergy is clear: decentralised infrastructure supports the growth of AI, while AI fortifies the security of decentralised systems.

Several key projects illustrate the practical implementation of this convergence. Bittensor stands out as a prominent decentralised AI network that creates a marketplace for machine learning models, rewarding contributors with tokens for their work. The Artificial Superintelligence Alliance, formed by the merger of Fetch.ai, SingularityNET, and Ocean Protocol, focuses on building autonomous AI agents and open, decentralised AI infrastructure.

Render provides a decentralised network for GPU power, serving both 3D graphics rendering and AI model training. Meanwhile, Coinbase x402 represents an emerging HTTP standard that enables autonomous agents to manage payments for API services using crypto, facilitating seamless machine-to-machine transactions. These are not speculative concepts. They are live networks with active development, demonstrating tangible progress toward a more intelligent and decentralised digital economy.

Market performance reflects this growing conviction. AI tokens frequently outperform the broader crypto market during bullish cycles, driven by high investor interest and the narrative of transformative potential. Experts project significant growth through 2026, anticipating that AI will transition into the financial backend for automated systems. A compelling forecast suggests AI agents could eventually outnumber humans in on-chain transactions.

This is not a replacement for human activity but an expansion of economic participation through intelligent proxies. The long-term goal extends beyond efficiency gains. It aims to create transparent, decentralised Global Brains that avoid the risks of censorship, bias, and data monopolies inherent in centralised AI systems. This vision aligns with a fundamental belief that the benefits of advanced intelligence should be distributed, not concentrated.

However, this path forward is not without significant challenges. Price volatility remains a constant factor, as AI tokens are subject to high fluctuations and hype-driven cycles. Many projects face sharp corrections after initial surges, reminding participants that technological promise does not immunise assets from market dynamics. Regulatory uncertainty presents another substantial hurdle.

Also Read: The rise of AI agents in healthcare: Designing man-machine systems

Policymakers are still defining rules for AI-driven transactions, particularly concerning liability when autonomous agents act on behalf of users. This grey area creates friction for institutional adoption and mainstream integration. Operational risk also demands serious attention. The potential for rogue or exploited agents to execute unintended transactions poses real security and financial risks. Addressing this requires better frameworks for auditable autonomy, where agent actions can be traced, verified, and, if necessary, reversed without compromising the decentralised nature of the system.

This convergence is shaped by a commitment to human-centric decentralisation from my point of view. The true promise of merging AI with crypto lies not in creating faster speculation engines but in building systems that enhance human agency, protect privacy, and distribute the benefits of intelligence broadly.

We must remain vigilant against simply replicating centralised power structures under a new technological veneer. The development of auditable autonomy, transparent model training, and community-governed infrastructure is not an optional feature. They are essential safeguards. The projects that thrive will be those that prioritise these principles while delivering tangible utility. The next phase of this evolution will separate foundational infrastructure from transient hype.

Also Read: AI agents didn’t change how I write, they changed when I could start publishing

Those building with a focus on interoperability, security, and genuine decentralisation will lay the groundwork for systems that can scale responsibly. This convergence offers a rare opportunity to shape the next layer of the internet with intention. We have the chance to embed values of openness, resilience, and equitable access into the very architecture of intelligent systems.

The technical challenges are substantial, and the market will inevitably experience volatility. But the direction is clear. We are moving toward a future where intelligence and value transfer are not siloed functions but integrated capabilities of a decentralised digital world. The work now is to ensure that the future remains aligned with human flourishing.

Editor’s note: e27 aims to foster thought leadership by publishing views from the community. You can also share your perspective by submitting an article, video, podcast, or infographic.

The views expressed in this article are those of the author and do not necessarily reflect the official policy or position of e27.

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Three KoinWorks executives detained in Indonesian corruption probe over US$36M in misused BRI funds

Indonesia’s Jakarta High Prosecutor’s Office has detained three senior executives linked to KoinWorks, one of the country’s leading fintech platforms, over alleged corruption in the disbursement of IDR600 billion (approximately US$36 million) in funds from state lender Bank Rakyat Indonesia (BRI).

The suspects are BAA, the Operations Director of PT Lunaria Annua Teknologi (PT LAT) from 2021 to the present; BH, who served as President Director of PT LAT from 2015 to 2022 and has held the role of Commissioner since 2022; and JB, the current President Director of PT LAT.

PT Lunaria Annua Teknologi is the parent company of KoinWorks.

Dapot, head of the Legal Information Section at the Jakarta High Prosecutor’s Office, stated that the three suspects conducted an incorrect analysis that resulted in the improper release of insurance-related funds from BRI through the KoinWorks platform. “The prosecutor’s office is currently investigating the involvement of other parties,” Dapot told Tempo.

Investigators have also conducted asset seizures, collected evidence, and are pursuing a deeper inquiry into the alleged involvement of BRI and customers who took part in the manipulation. The three suspects face charges under Article 603 or Article 604 in conjunction with Article 20(c) and Article 126(1) of Indonesia’s Criminal Code, as well as Article 18(1) of the Law on the Eradication of Criminal Acts of Corruption.

Also Read: Inside Indonesia’s US$610M Chromebook scandal: Raids, arrests, and Nadiem Makarim under scrutiny

All three suspects have been remanded in custody for 20 days with BAA and JB at Cipinang Detention Centre, and BH at Salemba Detention Centre–pending further proceedings.

KoinWorks was founded in 2016 as a peer-to-peer (P2P) lending platform with a mission to improve financial access for underserved communities across Indonesia. The company has since expanded into a broader digital financial services provider, offering a neobank, working capital loans, invoice factoring, early wage access, and treasury management products primarily targeted at micro, small and medium enterprises (MSMEs) and freelancers.

The platform also features a marketplace of integrated business applications, including accounting software, point-of-sale systems, e-commerce tools, HR management software and a budgeting application — positioning itself as a one-stop financial and productivity ecosystem for small business owners.

In 2022, KoinWorks secured a US$108 million Series C funding round led by MDI Ventures, the corporate venture capital arm of Indonesian state-owned telecoms group Telkom Indonesia. The company reported it doubled its registered user base to more than 1.5 million users during the COVID-19 pandemic, citing increased demand for digital financial services during the period.

KoinWorks and its representatives had not issued a public statement regarding the allegations as of the time of publication. The Jakarta High Prosecutor’s Office said the investigation is ongoing.

Image Credit: Sasun Bughdaryan on Unsplash

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Why Bitcoin’s jump to US$82,400 could push BTC to US$93,000: Key levels every investor must watch

Bitcoin’s brief climb above US$82,000 represents more than a simple price fluctuation. It reflects a confluence of macro relief, institutional demand, and derivatives positioning that deserves careful examination. The move from approximately US$80,500 to US$82,400 lifted Bitcoin’s market capitalisation near US$1.65 trillion and pushed total crypto market value toward US$2.8 trillion. This action occurred against a backdrop of easing Middle East tensions and robust spot ETF inflows, creating a perfect storm for a sharp, sentiment-driven rally.

The spike above US$82,000 was not random. Multiple factors aligned to create upward momentum. Easing US-Iran tensions following a pause in Strait of Hormuz operations reduced geopolitical risk premiums, which in turn triggered a sharp drop in oil prices. WTI crude fell nearly 12 per cent to US$90.50 while Brent settled below US$110. This macro relief boosted risk appetite across global markets.

Simultaneously, Bitcoin-focused US spot ETFs recorded strong net inflows, with approximately US$467 million added in a single day. This multi-day streak of positive flows reinforced demand from institutions and larger buyers who view volatility as an entry opportunity rather than a deterrent.

The combination of lower oil prices, reduced geopolitical tension, and persistent ETF accumulation created a supportive environment for Bitcoin to test the low US$80,000s while maintaining dominance around 60 per cent of the total crypto market.

Also Read: Bitcoin just hit US$80K again, but this rally is built on shaky ground

What made this move particularly interesting was the role of derivatives positioning. The rally was amplified by a short squeeze that caught many traders off guard. Reports indicate that around US$66 million in BTC shorts were liquidated in just 4 hours, with total BTC liquidations reaching approximately US$188 million as the price pushed toward US$83,000.

Over a 24-hour window, estimates suggest more than US$200 million of BTC shorts were closed out as the price ripped past US$82,000. This liquidation cascade was fueled by crowded short positions and persistently negative funding rates, marking the longest streak of negative funding this decade.

Perpetual open interest remains elevated at mid-hundreds of billions of dollars, while average funding remains slightly negative. This setup creates classic conditions for squeeze-driven volatility, where spot demand and ETF inflows can force reluctant shorts to cover at higher prices, accelerating upward momentum.

From a technical perspective, several key levels now define the near-term trajectory. The US$80,000 region serves as critical support, while the US$83,000 to US$85,000 band represents the next major resistance zone. Bitfinex analysts have highlighted a daily close trigger around US$84,766 as a signal for further upside. On the downside, a break below US$75,000 to US$78,000 would suggest a failed breakout and potential retest of lower supports.

Options and liquidity maps show clustering around US$85,000 to US$90,000, with some analysts noting a futures gap near US$93,000 that could act as a magnet if squeeze conditions persist. These upside targets depend on sustained spot demand and continued ETF inflows. If funding rates flip decisively positive while open interest spikes and ETF flows slow, the risk profile shifts from short squeeze to overleveraged longs, which can reverse just as quickly as they formed.

Also Read: The US$100K Bitcoin blueprint: How regulatory clarity just changed the game

The broader market context reinforces the interconnected nature of today’s financial systems. Global markets on 7 May 2026 displayed strong risk-on sentiment as optimism grew around a potential diplomatic breakthrough between Washington and Tehran. US indices closed at fresh record highs with the S&P 500 rising 1.5 per cent to 7,343.34 and the Nasdaq Composite jumping 2.1 per cent to 25,698.14.

European markets rallied sharply, with the EURO STOXX 50 gaining three per cent , Germany’s DAX rising 2.8 per cent , and France’s CAC 40 advancing 3.2 per cent . Asian markets followed suit with Japan’s Nikkei 225 rising 0.38 per cent and South Korea’s KOSPI hitting record highs earlier in the week.

This synchronised global rally provided a tailwind for Bitcoin, demonstrating how crypto assets increasingly move in tandem with traditional risk assets during periods of macro clarity. Gold rose over three per cent to US$4,712 as investors balanced optimism with hedging, while the US Dollar weakened broadly with USD/JPY trading around 156.84.

At the time of writing, Bitcoin trades at US$81,430, placing it just above the psychological US$81,000 level. The immediate path forward hinges on whether Bitcoin can sustain above this threshold. Key resistance for the total market cap sits at the 161.8 per cent Fibonacci extension level of US$2.87 trillion.

Upcoming US ETF flow data will serve as a critical gauge of institutional follow-through. If net inflows remain positive while funding rates stay slightly negative, the market structure continues to favour squeeze-driven volatility with an upward bias.

Conversely, if ETF demand weakens or leverage becomes one-sided with funding flipping positive, the same setup that fueled the rally could quickly trigger a sharp correction.

Also Read: The US$75,000 line in the sand: What happens to markets if Bitcoin breaks below

This episode underscores the maturation of Bitcoin’s market structure. The presence of regulated ETF vehicles now provides a stabilising source of demand that can absorb short-term volatility as macro headlines shift. At the same time, the derivatives market remains a potent amplifier of price moves, for better or worse. Traders who fade rallies with shorts while spot and ETF flows stay strong create the conditions for extended squeezes.

This dynamic rewards patience and discipline while punishing excessive leverage. The key edge right now lies in monitoring the balance between spot inflows and derivatives positioning. As long as institutional demand via ETFs persists and funding remains slightly negative, the path of least resistance favours further upside tests. Markets never move in straight lines. A break back below US$78,000, accompanied by negative macro news, would argue this was a relief rally rather than the start of a new leg higher.

Focus on the signals that matter most: net ETF flows, the balance between spot and derivatives activity, and macro developments around geopolitical tensions and oil prices. And not those influencers who know nothing.

In a market where leverage can amplify both gains and losses, discipline and selective exposure trump reactionary trading. Bitcoin’s journey above US$82,000 was not an endpoint but a reminder that digital asset markets continue to evolve, demanding both technical understanding and macro awareness from those who seek to participate meaningfully.

Editor’s note: e27 aims to foster thought leadership by publishing views from the community. You can also share your perspective by submitting an article, video, podcast, or infographic.

The views expressed in this article are those of the author and do not necessarily reflect the official policy or position of e27.

Join us on WhatsAppInstagramFacebookX, and LinkedIn to stay connected.

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Singapore’s only Jamf Elite Partner is coming to Echelon 2026

When it comes to managing Apple devices at scale, Jamf sets the standard, and in Singapore, there is only one company that Jamf has recognised at its highest tier: Aeon Earth

Jamf Elite Partner status is not handed out freely. It signals deep technical expertise, proven deployment experience, and a close working relationship with Jamf itself. For organisations that run on Apple or want to, it means having a local partner who can do far more than simply resell a licence.

Jamf is trusted by more than 76,600 organisations worldwide, manages and secures more than 33.6 million devices. As Singapore’s sole Elite Partner, Aeon Earth is uniquely positioned to deliver that same level of capability locally.

What Apple at scale actually looks like

Aeon Earth has deployed thousands of Apple devices across businesses, government institutions, and schools. Their team brings the full Jamf platform to bear, covering device provisioning, ongoing management, app deployment, inventory, security, and user self-service, all tuned to the specific workflow of each organisation.

Whether a company wants zero-touch deployment, where devices are shipped directly to employees and ready to use out of the box, or prefers a more hands-on setup, Aeon Earth designs and executes the full process. Beyond configuration, the platform gives IT teams the ability to enforce security policies, manage software licences, patch devices without user interaction, and give employees a self-service app portal, reducing helpdesk load significantly.

Also read: Scaling Southeast Asia: Who to meet at Echelon Singapore 2026 

End-to-end Apple support under one roof

Aeon Earth also operates as A.LAB, an Apple Authorised Service Provider offering fast and certified repairs backed directly by Apple standards. Technicians undergo regular Apple training and formal assessment, so organisations get qualified and professional support without routing tickets to an overseas service centre.

As an Apple Technical Partner, the ALAB360 team is certified to advise, deploy, and support the latest Apple products, making Aeon Earth a single point of contact for companies that want their Apple investment properly managed from day one. For organisations going through a tech refresh, Aeon Earth can also buy back old iPhone, iPad, and Mac devices with data erasure, providing a practical and straightforward way to retire ageing hardware.

Built for startups and SMEs

Many early-stage and growing companies default to Windows-based environments simply because that is what most IT vendors know. Aeon Earth makes the Apple-first path genuinely accessible, with tooling, expertise, and local support to make it work at any size, from a ten-person team to a multi-office operation.

The combination of Jamf’s platform and Aeon Earth’s hands-on advisory means a startup can move quickly without sacrificing security or control, and scale without having to re-architect their device management approach every time the business grows. For SMEs looking to modernise their IT without building a large internal team, it is a particularly compelling proposition.

Also read: Meet the companies taking the floor at Echelon Singapore 2026 

Find them at Echelon Singapore 2026

Echelon Singapore 2026 returns from 3 to 4 June at Suntec Singapore Convention & Exhibition Centre, Level 4, bringing together the region’s most ambitious builders, operators, and capital allocators. Aeon Earth will be on the exhibition floor, available to discuss Apple device management, Jamf solutions, end-to-end product lifecycle, and how they can help your organisation succeed with Apple at scale. As the only Jamf Elite Partner in Singapore, they are worth a visit.

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The e27 team produced this article sponsored by Aeon Earth

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Featured Image Credit: Aeon Earth

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Lumina’s Aria aims to fix what is broken at the top of the hiring funnel

The Aria dashboard

For most companies, the hiring process begins the same way: a recruiter opens a folder of resumes and starts reading. Across a pool of 100 candidates, that manual first-pass screening can consume more than 80 hours of interviewer time before a single meaningful conversation takes place. Singapore-based AI company Lumina believes that the number should be closer to zero.

Lumina recently launched Aria, an AI hiring agent designed to overhaul first-pass candidate screening. The product conducts structured, voice-based interviews asynchronously, evaluates candidates across three dimensions, and delivers ranked outputs that hiring teams can review in under a minute per candidate — a reduction the company estimates at up to 50 times faster than current manual processes.

At the heart of Lumina’s proposition is what Glenn Low, the company’s CEO and co-founder, describes as a signal-to-noise problem in hiring.

“The signal is whether a candidate can actually do the job,” Low explains. “The noise is everything that obscures that signal — inflated resumes, keyword optimisation, and subjective interpretation during early screening.”

As AI-assisted resume writing becomes more widespread, Low argues the problem compounds. Candidates optimise their documents for keywords. Recruiters apply shortcuts — university names, previous employers, gut feel — that introduce variability into what should be a consistent evaluation process. Resumes, as Low puts it, are “2D representations of 3D people,” inherently incomplete documents that companies compensate for with first-round interviews.

Also Read: From HR to talent flow: Why workforce management needs a supply chain mindset

Aria is Lumina’s attempt to restructure that early funnel before human judgment enters the picture.

How Aria works

The process begins with resume-to-job description matching, which shortlists candidates before any interview takes place. Those who advance receive a link to complete a voice interview at their own convenience, eliminating the need for calendar coordination between recruiters and candidates.

During the interview, Aria follows a structured flow designed to assess critical thinking, domain knowledge, leadership, and collaboration. The system uses adaptive probing based on candidate responses rather than following a rigid script, evaluating answers for quality, depth, and relevance. A sentiment analysis layer runs in parallel, assessing tone and authenticity across the conversation.

The outputs are consolidated into scores across three areas: resume-to-job description match, interview performance, and sentiment. Crucially, Lumina has built explainability into the scoring. Each result comes with supporting insights showing how the score was reached, giving hiring teams a clear rationale rather than an opaque number.

AI hiring tools have attracted meaningful scrutiny over the past several years, with critics pointing to the risk of encoding existing biases into automated systems. Lumina’s response centres on the consistency of its scoring rubric. Because Aria evaluates every candidate against the same defined criteria, the company argues it removes the subjective interpretation that drives variability in human-led screening.

Also Read: AI is removing the co-founder bottleneck for early-stage startups

Whether that fully addresses bias concerns — particularly around how rubrics are designed and validated — is a question the industry is still working through. Low acknowledges the responsibility, noting that the team has deliberately built explainability into every score to ensure hiring teams can interrogate the system’s recommendations rather than simply accepting them.

Where humans stay in the loop

Lumina is deliberate about where Aria stops. The product is positioned as a first-pass tool, not a replacement for human judgment across the full hiring process. Once Aria surfaces its ranked shortlist, recruiters take over to determine who advances to later-stage interviews.

“As candidates progress further into the process, human judgment becomes increasingly important,” Low says. “Later-stage interviews focus on nuance, culture fit, and building relationships — areas where human interaction adds the most value.”

Beyond enterprise hiring teams, Lumina has also seen demand from job seekers directly. The company’s resume analyser allows candidates to understand how their profiles are likely to be interpreted — a move that Low describes as shifting from guesswork to a more structured view of their own experience.

Lumina’s focus for now remains squarely on first-pass screening, the stage where hiring volume is highest and inefficiency most acute. Whether Aria eventually moves deeper into the funnel will likely depend on how well it earns trust at the stage it has already chosen to own.

Image Credit: Lumina

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