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Qapita launches ESOP SPV for Singapore-incorporated entities

Qapita is an ESOP platform for startups through to listed companies, helping founders unlock the Power of Ownership for their stakeholders. Qapita’s focus aligns with a growing global trend: as startups stay private for longer, the complexity of managing cap tables, liquidity events, and investor reporting has created a surge in demand for various ESOP management tools. Powering over 2,400 clients globally, Qapita offers cap table, ESOP advisory, liquidity programmes, as well as valuation and financial reporting services tailored to meet the needs of both shareholders and employees.

Managing an ESOP within a Singapore-incorporated private company comes with a structural limitation that direct share issuance and traditional trusts don’t fully solve. Singapore limits private companies (Pte Ltd) to 50 shareholders, presenting a unique challenge for founders to manage this statutory restriction.

For a firm in Singapore, allowing employees (ex-employees and advisors) to exercise their options early may lead to additional admin, including but not limited to potentially crossing this 50-shareholder private company threshold sooner than expected. With many founders considering incorporating an entity or a holding company in Singapore, this signals a need for alternatives in share delivery solutions across the Southeast Asia region.

To address this, Qapita has recently launched ESOP SPV, a first-of-its-kind share delivery solution built specifically for Singapore-incorporated entities. This could be particularly useful for founders who have yet to set up their ESOP plan and want to incorporate an SPV from the start to ensure a clean cap table before future team expansion and fundraises.

Also Read: From perk to power: Rethinking ESOPs in the modern talent economy

A Special Purpose Vehicle (SPV) acts as an alternative share delivery method that consolidates shareholder names in a single entity. When employees exercise, they become shareholders of the SPV instead of the company directly, encouraging tangible employee ownership in a flexible yet compliant manner.

Here’s how Qapita’s ESOP SPV works

A Singapore Private Company (Pte Ltd) is set up to hold shares. Employees hold shares in the SPV proportionate to their allocation. Only the SPV appears on the cap table. Here are some of the key features of Qapita’s new and improved product:

  • Clean cap table from day one: A single SPV entry is cleaner for investors than a list of employee names. Employees stay consolidated in a single SPV entity, which simplifies due diligence, cap table documentation, and future fundraising rounds.
  • Flexibility on employee share exercises: Employees can exercise more regularly without the company crossing the 50-shareholder limit. This lets them act when it’s most tax-efficient — rather than waiting for a liquidity event. As employees become shareholders of the SPV instead of the company directly, encouraging share exercises can allow them to feel a sense of ownership.
  • Perfect middle ground between direct share issuance and trusts: ESOP trusts require a licensed trustee, ongoing fees, and greater regulatory overhead. For a startup, an SPV delivers the same structural benefit at a fraction of the cost.

To sum up, ESOP SPVs are best suited for early-to-growth-stage Singapore-incorporated startups with up to 50 ESOP participants. As the SPV allows employees to exercise their options and participate as shareholders through a structured vehicle, this reduces administrative hassle, maintains a clean, investor-ready cap table, and results in potential tax-saving opportunities for employees.

Ultimately, the right ESOP structure depends on your goals, your team size, and how you want employees to engage with their equity. Qapita can help you figure out what works, including implementation, structural, and taxation considerations for your employees.

Discover how an ESOP SPV compounds future benefits, giving employees real ownership while keeping your cap table investor-ready, at a fraction of the cost of a trust. Whether you’re setting up a new ESOP plan or already have an existing programme, Qapita’s advisory team can help you evaluate whether an SPV is the right structure for your startup and set it up end-to-end.

Learn more here: https://www.qapita.com/sg/companies/equity-compensation-advisory/spv

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The e27 team produced this article in partnership with Qapita.

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Featured Image Credit: Qapita

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Why Antler is backing Chinese founders building away from China

Jussi Salovaara, co-founder and Managing Partner for Asia at Antler

The venture capital world is awash with AI hype. Every fund claims to back the next frontier. Few can point to companies that have crossed from demo to dollars in under a year. Antler, the global early-stage VC with a growing Asia footprint, is making that claim and backing it with numbers.

Jussi Salovaara, co-founder and Managing Partner for Asia, sat down to defend the firm’s thesis on agentic AI, its “One Asia” platform spanning Korea, Japan, and Southeast Asia, and its controversial bet on China-outbound founders. He also confronts the hard questions: enterprise trust, deeptech timelines, talent wars with Samsung and Hyundai, and what happens to these startups if the AI spending bubble pops.

Also Read: Why Antler is going all-in on Japan’s earliest-stage founders

The answers are sharper and more candid than most VCs offer.

Edited excerpts:

You’re describing a shift from AI copilots to autonomous systems. But most enterprise buyers are still struggling to trust AI with basic decisions. Aren’t you getting ahead of reality?

The question assumes AI autonomy is binary. It isn’t. Think of your best manager training a new employee. With the right guidance, that employee can make basic decisions and handle well-defined responsibilities. AI is at a similar stage. Most modern models already have the logical reasoning needed for many business tasks. The real challenge is designing the right context, guardrails, and scope.

That’s exactly what we look for at Antler. We’re not backing companies claiming artificial general intelligence. We’re backing founders who identify a narrowly defined problem, codify domain expertise into AI systems, and enable reliable decisions within a carefully crafted scope.

The results speak for themselves. IndustrialMind.ai, founded by three ex-Tesla Gigafactory executives, built AI that replaces up to 80 per cent of repetitive engineering work. AppSecAI automatically writes, validates, and delivers security patches in 30 minutes at one-hundredth of the cost of manual processes. CONPA secured six-digit contracted revenue within three months of launch. These are commercial outcomes, not experiments.

What exactly counts as “meaningful commercial traction”? Is that a paying customer, a signed pilot, or something else?

Meaningful traction means contracted revenue, live ARR, or a very large qualified pipeline with documented ROI. We do not count free pilots or letters of intent.

To give specific examples: ChainShift secured six-figure contracted revenue within 10 months. i10x reached seven-digit annualised revenue in eight months. This pace is significantly faster than historical benchmarks for early-stage software, which often took 18 to 24 months to reach similar milestones.

Korea, Japan, and Southeast Asia have very different startup cultures and enterprise buyer behaviours. How does Antler actually operate as a unified “One Asia” platform in practice?

The starting points are genuinely different. Japan and Korea offer unmatched industrial depth, robotics expertise, and corporate R&D budgets. Southeast Asia offers a massive, mobile-first digital economy and an agile scale-up environment. Chinese founders bring frontier AI research talent and an execution intensity forged in the world’s most competitive technology market. These are not interchangeable, and we do not pretend they are.

What the Antler platform provides is a common outcome opportunity: building a global company. The friction appears in localisation, regulatory compliance, and enterprise sales cycles. We mitigate that with experienced, on-the-ground partners across our 27 global locations.

Global VCs like a16z, Sequoia, and Lightspeed are all doubling down on agentic AI. What does Antler genuinely offer an AI founder in Asia that they can’t get from a brand-name fund?

Several of those funds have backed companies we first invested in at inception; they operate at a different stage and serve a different need. What we bring beyond capital is a network of local partners with boots on the ground across 27 locations, embedded in the ecosystems where founders are expanding.

The most concrete expression of this is our Embark programme, a four-week immersion that bridges our strongest Asian portfolio companies into Silicon Valley, connecting them with US enterprise customers, investors, and operators. Twelve startups across Asia have gone through three Embark cohorts. Every single one has secured US traction. We build the infrastructure and systematic support to get founders to the stage where global funds are ready to write the next cheque.

In a press release, you mentioned backing “China-outbound entrepreneurship.” Given geopolitical tensions and scrutiny in Western markets, how do you assess those risks?

China has spent two decades producing some of the world’s most technically rigorous engineers and AI researchers. A growing number of those founders are choosing to build for global markets from day one. That combination of frontier technical training and genuine global ambition is rare, and it is concentrated in this cohort right now.

Also Read: Analysis: SEA’s June funding spike masks a narrow recovery in VC funding

The question we assess at the investment stage is simple: where is your customer, where is your data, and where is your team? If the answers point towards global ambition from inception, the geopolitical risk profile is fundamentally different from a company that started in China and is now trying to expand outward.

Several portfolio companies are in sectors with notoriously long commercialisation timelines. How does Antler’s inception-stage model align with deeptech?

Deeptech companies with long timelines are precisely where early conviction creates the most asymmetric returns. We help founders compress the timeline from lab to first enterprise deployment, then hand them off to the right capital partners to carry the journey forward.

At inception, we look for technical validation, strong IP protection, and the first commercial signal — a paid pilot, a joint development agreement, or a signed letter of intent. Korea’s conglomerates and Japan’s industrial corporates are among the most sophisticated early adopters of deeptech in Asia, and we work closely with those networks to connect our founders with the right enterprise partners.

What happens to these companies if the enterprise AI spending correction some analysts are warning about actually materialises?

A spending correction would actually accelerate the path for the companies we back. A correction is, by definition, a correction in spending on broad horizontal platforms, experimental tooling, and marginal productivity gains. When budgets tighten, enterprise buyers do not cut tools that are reducing their costs or generating their revenue.

Our founders create business value through genuine domain expertise, not generalist AI. Verixus Labs CEO Joel Kosmin holds an Oxford PhD in Molecular Genetics, has over a decade of research experience, and worked at AstraZeneca before building an AI-powered operating system for biomanufacturing. His platform delivers 61 per cent higher mammalian stem cell yields and 66 per cent fewer experiments compared to standard approaches. That is not a product that gets cut when AI budgets tighten. A correction would validate it.

AI talent in Asia is fiercely competed for by Samsung, Hyundai, and SoftBank-backed companies. How are early-stage founders competing for engineers without matching corporate salaries?

Early-stage founders compete on ownership, autonomy, and the chance to build category-defining technology from scratch. The best engineers are often frustrated by bureaucracy and slow deployment cycles inside large conglomerates.

Also Read: Antler invests US$5.6M across 14 AI startups with early commercial traction

The founders in our portfolio are the very talent those conglomerates want to hire. IndustrialMind.ai was founded by executives who led Tesla’s manufacturing AI transformation. Infron was founded by ex-Alibaba AI researchers who left one of the most well-resourced AI environments in the world. They didn’t leave because they couldn’t get corporate salaries. They left for equity, creative control, and the chance to define a category. That’s the story they tell every engineer they recruit, and it’s credible precisely because they made the same choice themselves.

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The first mover myth: Why being first rarely means winning

The idea that “first mover always wins” is one of the most seductive myths in business. It sounds logical: if you’re first, you grab the market, define the rules, and lock everyone else out. But history, from the Industrial Age to today’s startups, tells a very different story. Being first rarely guarantees dominance.

Being best, fastest to learn, or best capitalised often does. In fact, business history suggests that being first is frequently a disadvantage.

Let’s dismantle the myth, from the oldest examples to today’s startup ecosystem.

How first movers failed: Lessons from history

In the 19th century, dozens of early railroad companies built tracks across the United States. Most went bankrupt. The survivors were not the first to lay rails; they were the ones who consolidated, optimised routes, and improved operations.

The same pattern played out in automobiles. Early pioneers like the Duryea Motor Wagon Company (1890s) helped invent the industry. But the winner was Henry Ford, who wasn’t first. Ford didn’t invent the car. He perfected production with the assembly line.

“The pioneer is the one with the arrows in his back.” — business folklore

The first players absorb experimentation costs. The latter players industrialise the lesson.

The first tech disruptor does not always win

Before Google dominated search, there were AltaVista, Lycos, and Yahoo, but none succeeded the way Google did. Google wasn’t first. It was better, with a cleaner interface, a superior algorithm, and faster results. Being first didn’t win the search war. Superior product excellence did.

The same pattern played out in social networks. Before Facebook, there were Friendster and MySpace, but neither could sustain dominance. Facebook studied what failed: slow performance, cluttered interfaces, and a lack of real identity. It built a sharper product with a cleaner approach and identity features that worked.

First movers like MySpace built category awareness. Facebook capitalised on it.

Also Read: Why investors and customers are betting on ESG-aligned startups

Why first movers struggle

First movers face three structural disadvantages.

  • Education costs: they must explain the category to the market. That costs money and time.
  • Technological immaturity: infrastructure often isn’t ready. Early electric car companies in the early 1900s failed because battery technology wasn’t viable. Today’s EV leader, Tesla, launched over a century after the first electric cars.
  • Strategic rigidity: first movers commit early. Later entrants see what works and avoid costly mistakes.

I experienced all three when I started an internet business in India in 2004. The 3D expo platform I launched in 2007 never gained traction because the market, infrastructure, technology, and capital weren’t ready.

As management thinker Peter Drucker observed: “The greatest danger in times of turbulence is not the turbulence. It is to act with yesterday’s logic.”

First movers often get trapped in yesterday’s logic. But second movers can separate noise from signal.

Why second movers win

Consider a few examples.

  • Before Uber became dominant, several ride-hailing experiments existed. Uber wasn’t first globally, but it scaled aggressively, mastered fundraising, and built network effects quickly. In many markets, local players were there first. Yet Uber often won through capital and execution. Being early wasn’t enough. Being scalable was.
  • Apple didn’t invent the smartphone. BlackBerry and Nokia dominated early mobile computing. Apple redefined the interface. The category creator is not always the category winner.

The real advantage for second movers is learning speed. In startups, the advantage isn’t chronological — it’s adaptive. Second movers can avoid pioneer mistakes, copy what works, improve the user experience, raise capital with proven demand, and enter when infrastructure is ready.

Also Read: Why impact-first marketing matters more than ever for Asia startups

As venture capitalist Marc Andreessen famously said: “Markets that don’t exist don’t care how smart you are.”

Sometimes being too early is indistinguishable from being wrong.

The oldest and newest pattern

From railroads to AI startups, the pattern repeats. Pioneers prove possibility. Fast followers capture profitability. Scalers dominate category economics.

Even in the current AI wave, early research labs paved the path, but the long-term winners may be those who commercialise, distribute, and integrate most effectively.

History rarely crowns the inventor. It crowns the optimiser.

When first mover advantage does work

To be fair, first mover advantage sometimes holds, but only under specific conditions: strong network effects, high switching costs, patents or regulatory barriers, and the ability to scale rapidly before competition arrives.

Amazon benefited from early scale in e-commerce logistics, but even Amazon wasn’t the first online retailer. The key wasn’t being first. It was a compounding advantage before rivals caught up.

Final argument

The first mover theory survives because it flatters founders. It suggests bravery equals inevitability.

But markets reward those who arrive at the right time with strong execution and sufficient capital. Adaptability and product-market fit matter more than chronology.

In startup strategy, the better question isn’t “How do we become first?” It’s “How do we become indispensable?”

Because in business history, the arrows rarely hit the second army over the hill.

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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HeyMax First offers upfront miles, but the economics will face a real-world test

Singapore-based travel rewards startup HeyMax has launched HeyMax First, a membership product that gives users access to miles before they have earned them, in a bid to reshape how frequent travellers think about redemption.

The product allows members to draw down up to one million Max Miles upfront and use them for flight or hotel redemptions through partner loyalty programmes. Members then earn the miles back over time through spending on the HeyMax app. The company said first-year membership fees will be waived for users who sign up during the launch period.

Also Read: What travel tech can look like for the travel industry’s revival

HeyMax said members must pay a reclaimable access fee to unlock the upfront miles. That fee is returned as users earn back the miles through future spending. The company said there is no deadline, penalty, or minimum activity requirement for members to complete the earn-back process.

The proposition is straightforward: instead of spending for years to accumulate enough points for a premium redemption, users can take the trip first and rebuild their balance later. The harder question is whether enough users will change their behaviour, and whether the model can be sustained without becoming a liability-heavy rewards scheme.

Reversing the loyalty sequence

Traditional airline loyalty programmes rely on a simple sequence: spend, earn, redeem. That structure gives airlines, banks and merchants years to manage liability, expiry, breakage and devaluation. HeyMax First reverses the order by moving redemption to the front of the customer journey.

“For so many years, loyalty programmes have asked travellers to do the same thing: spend first, wait years, and hope your miles are still worth something when you finally have enough,” said Joe Lu, CEO and co-founder of HeyMax. “HeyMax First reverses that. We front you the miles, you take the trip you’ve been putting off, and you earn them back on your own schedule.”

The product targets a clear consumer frustration. Premium award flights often require large mileage balances, and casual travellers may struggle to accumulate enough points before programmes change redemption rates or impose new restrictions. In Southeast Asia, where cross-border travel is frequent but incomes and credit card penetration vary widely by market, the ability to access miles earlier could appeal to younger professionals and aspirational leisure travellers.

HeyMax says its miles transfer on a one-to-one basis to more than 20 airline and hotel loyalty programmes, giving users access to over 70 airlines across major global alliances. The company did not disclose the full commercial terms behind HeyMax First, including how it prices the access fee, manages redemption risk, or accounts for miles advanced to members.

A crowded rewards battlefield

HeyMax was founded in 2023 by four former Meta engineers. The company raised US$11 million in Series A funding in January 2026, led by Peak XV Partners, and has since expanded beyond Singapore into Hong Kong. It plans to enter Japan, Taiwan and Australia by the end of 2026.

The startup operates in a market that sits at the intersection of travel, fintech, commerce and loyalty. In Southeast Asia, rewards have become a customer acquisition tool for banks, e-wallets, superapps, airlines and cashback platforms. GrabRewards, ShopBack, Kris+, AirAsia MOVE and Cathay’s Asia Miles all compete in adjacent ways for consumer attention and transaction volume.

Also Read: HeyMax acquires Hong Kong’s krip to supercharge Asia loyalty rewards expansion

Globally, companies such as Bilt Rewards in the US have shown that non-traditional spending categories can be converted into travel rewards at scale. Points-search and redemption platforms such as Point.me and AwardWallet have also built businesses around the complexity of airline loyalty. HeyMax is taking a different route: it is not merely helping users optimise existing points, but advancing future rewards against expected spending.

That distinction is crucial. Loyalty programmes are balance-sheet businesses as much as marketing tools. Miles have real cost, and redemption-heavy users can be expensive if they do not generate sufficient follow-on activity. HeyMax First will likely depend on three things: a broad merchant network, repeat spending behaviour, and careful control of who receives upfront miles and how much.

The company says users can earn Max Miles from more than 800 merchants globally. That merchant base gives HeyMax a starting point, but the model’s durability will depend on whether members concentrate more of their everyday spending inside the app after taking an upfront redemption.

Why Southeast Asia is a relevant testbed

Southeast Asia is a logical market for this type of experiment. The region’s digital economy has grown rapidly, with Google, Temasek and Bain estimating gross merchandise value at US$263 billion in 2024. Online travel has also rebounded sharply since the pandemic, with consumers increasingly comfortable booking flights, hotels and experiences through digital platforms.

At the same time, the region remains fragmented. Loyalty behaviour differs across Singapore, Indonesia, Thailand, Vietnam, Malaysia and the Philippines. Payment methods vary, airline networks are uneven, and regulatory approaches to consumer credit, stored value and rewards liabilities are not uniform. A rewards product that looks simple to the user may require careful structuring behind the scenes.

Singapore gives HeyMax a useful launch market. It has high card penetration, heavy outbound travel demand, and consumers who are familiar with airline miles and bank reward points. But regional expansion will not be automatic. In larger Southeast Asian markets, the company would face stronger localisation demands, lower average spending power, and competition from entrenched wallets and superapps.

The product also arrives at a time when airlines and banks are becoming more protective of loyalty economics. Frequent flyer programmes have become valuable assets, and carriers routinely adjust redemption charts, fuel surcharges and partner availability. If HeyMax positions itself as a flexible layer across multiple programmes, it may benefit from consumer frustration with single-airline schemes. But it will also remain exposed to changes imposed by those same partners.

The test ahead

HeyMax First is an ambitious attempt to repackage loyalty around immediacy rather than delayed gratification. The company is betting that access to premium travel today will motivate users to route future spending through its platform tomorrow.

That may resonate with travellers who dislike the uncertainty of waiting years to redeem points. It may also appeal to consumers who see travel as a priority but do not have enough miles or credit card spend to reach business-class thresholds quickly.

Also Read: HeyMax hits US$6M revenue milestone, eyes Asia Pacific expansion

Still, the product will need to prove that its earn-later structure is not just attractive at launch, but economically repeatable. Waiving first-year membership fees should reduce friction, but the key metric will be post-redemption engagement: whether members continue spending after they have taken the trip.

For now, HeyMax has put a sharp twist on a familiar category. In a region where travel demand is rising, rewards are becoming more competitive, and consumers are increasingly willing to try fintech-led alternatives, the company has chosen a high-risk, high-attention way to stand out.

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Human value in the AI era is not what most people think

Every AI conversation seems to begin with the same question: what can AI do better than humans?

It is an understandable question since AI can now analyse information quickly, summarise long reports, generate first drafts, support customer service, and automate tasks that used to take hours. For many companies, the appeal is immediate. If a tool can help a team work faster, reduce repetitive work, and make better use of existing resources, it is difficult to ignore.

But I think there is another question we should be asking more often, especially in Southeast Asia: Who actually gets to benefit from this shift?

The current AI conversation often assumes that everyone starts from the same place. It assumes that workers have time to experiment with tools, businesses have budgets for training, and communities have equal access to digital infrastructure. In reality, the gap between those who are ready for AI and those who are not is still very visible.

This is where the discussion about human value becomes more interesting. The issue is not simply whether AI will replace certain tasks. It is whether we are building an AI economy where more people can meaningfully participate.

Human value is changing, but it is not disappearing

Much of the anxiety surrounding AI comes from the belief that machines are replacing human value. I understand where that concern comes from, but I do not think it tells the full story.

For a long time, many professional skills were built around access to information. People were valued for how quickly they could research, organise knowledge, analyse trends, or turn information into a useful output. Those skills still matter, but AI has changed the baseline. A first draft, a summary, or a basic analysis is no longer as difficult to produce as it once was. That does not mean human value has disappeared. It means the source of value is moving.

In an AI-enabled workplace, the people who stand out are often not the ones who can simply produce the most output. They are the ones who can ask better questions, understand context, make sound judgments, and connect technology to real human needs.

Also Read: The accordion effect: How AI follows the rhythm of expansion and compression

AI can generate a list of ideas, but it cannot always know which idea is right for a specific market, community, or moment. It can analyse patterns, but it does not carry the lived experience needed to understand why people behave the way they do. It can help optimise a process, but humans still need to decide what kind of outcome is worth optimising for.

This is why I do not see the future of work as a simple story of humans versus machines. It is more likely to become a story of who can use machines with enough judgment, empathy, and responsibility.

The real divide is access, not interest

In Southeast Asia, interest in AI is not the problem. Many people and businesses are curious about it. However, the harder question is whether they have the same opportunity to learn, test, and apply it.

The World Economic Forum’s Future of Jobs 2025 coverage on Southeast Asia notes that digital skills are becoming more important for companies across the region, but many employers still see significant gaps. Upskilling and reskilling are becoming priorities because the pace of change is already affecting what businesses need from their teams.

This matches what many of us are seeing on the ground. Larger companies can invest in AI tools, internal training, consultants, and structured experimentation. Smaller companies often have to make do with limited time, limited budget, and limited guidance.

For workers, the difference can be just as stark. Someone in a major city with strong internet access, an English-language education, and exposure to global tools may find it easier to learn AI. While a frontline worker, informal worker, or small business owner in a less connected area may not have the same starting point.

The risk is that AI becomes another layer of advantage for people and organisations that already have access to capital, infrastructure, and education.

Southeast Asia needs inclusive AI growth, not just faster AI adoption

The region’s digital economy is still growing quickly. The e-Conomy SEA 2025 report says Southeast Asia’s digital economy has grown from US$40 billion in GMV a decade ago to more than US$300 billion in 2025.

Indonesia is a useful example of why inclusion matters in this conversation. MDI Ventures’ recent white paper, Catalysing Digital Resilience and Sustainable Growth: Advancing Inclusive Innovation and AI-Driven Impact Across Indonesia’s Digital Economy, notes that the country has around 65 million MSMEs, contributing 60.5 per cent to GDP and absorbing 96.5 per cent of the national workforce. It also points out that Indonesia’s digital economy is projected to reach between US$180 billion and US$340 billion by 2030, while many small businesses still face challenges in financing access, digital infrastructure, cybersecurity, and AI readiness.

Also Read: Singapore, AI, and the rise of emotional outsourcing

That context matters because Indonesia’s digital economy cannot be considered truly strong if its smaller businesses are left behind. Growth may happen at the top, but resilience depends on whether the broader business ecosystem can participate.

This is where AI should be seen as more than a productivity tool. If applied well, it can support better credit scoring, improve access to digital financial services, strengthen cybersecurity, and help small businesses operate with more confidence. But these benefits will not spread automatically. They need infrastructure, trust, relevant products, and patient ecosystem-building.

The MDI white paper makes this point indirectly through its focus on impact capital, digital trust, AI, cybersecurity, and inclusive digital infrastructure. Its portfolio examples, including Amartha, Qoala, Privy, and CYFIRMA, show how technology can support access, protection, identity, and trust within the wider digital economy.

We should also think about how people learn

There is another part of this shift that deserves more attention. As companies automate more entry-level tasks, we may accidentally weaken the pathways that help people build experience.

Many junior roles are built on tasks that are not glamorous but are deeply educational. Writing meeting notes, preparing research, drafting reports, checking details, and supporting senior colleagues are often how people learn how an industry works. These tasks teach judgment slowly. They expose people to context, mistakes, client expectations, and decision-making.

If AI takes over too much of that early work without a replacement learning path, companies may solve one efficiency problem while creating a future talent problem.

This is why the talent conversation should not stop at whether people know how to use AI tools. The deeper question is how quickly people can keep learning as the nature of work changes. LinkedIn estimates that 70 per cent of the skills used in most jobs will change by 2030, while PwC’s 2025 Global AI Jobs Barometer found that workers with AI skills command a 56 per cent wage premium. This suggests that AI is not simply reducing the value of human talent. It is raising the value of people who can keep adapting.

For organisations, the risk is that workers who already have access to training, tools, and experimentation time will move further ahead, while those without that access fall behind. This does not mean companies should avoid automation. It means they need to be more intentional about learning.

If AI handles the first draft, junior employees still need to learn how to evaluate that draft. If AI summarises research, people still need to learn how to question the source, spot missing context, and decide what matters. If AI supports execution, teams still need to teach accountability, communication, and ethical judgment.

AI can speed up work, but it should not remove the process through which people become thoughtful professionals.

Great talent now looks different

This also changes what we should look for in talent. A few years ago, the strongest candidate might have been the person with the most polished technical skills or the most impressive credentials. Those things still have value, but they are no longer enough on their own.

Also Read: AI slop is a strategy problem, not a content problem

In an AI-enabled environment, I would pay closer attention to curiosity, adaptability, clarity of thinking, and the ability to work with ambiguity. I would also look for people who know how to use AI without outsourcing their judgment to it.

That last part matters. There is a difference between someone who uses AI to think better and someone who uses AI to avoid thinking. The first person becomes more capable. The second person becomes more dependent.

This is why AI literacy should not be treated as a narrow technical skill. It is becoming part of how people communicate, analyse, make decisions, and build trust. The strongest professionals will be those who can combine technological fluency with human understanding.

The future of AI should be measured by who gets included

Many businesses are asking how AI can help them do more with fewer people. That is a practical question, and it will not disappear.

But I hope more leaders also ask a broader question: how can AI help more people contribute?

That question leads to a different set of priorities. It pushes organisations to invest in training beyond senior teams. It encourages businesses to think about frontline workers, small merchants, regional entrepreneurs, and communities that may not be first in line for new technology.

Southeast Asia’s future growth will depend not only on how quickly AI is adopted, but on how widely its benefits are shared. If smaller businesses, young workers, and underserved communities are left behind, the digital economy may become more advanced without becoming more resilient. That would be a loss for everyone.

In the end, the most important human contribution in an AI-powered world may not be competing with machines. It may be making sure the future we build with them still works for more humans.

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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etaily lands Vynn Capital investment to deepen Malaysia, Singapore and Indonesia push

etaily founder and CEO Alexander Friedhoff

Malaysia-based venture capital firm Vynn Capital has made a strategic investment in etaily, the Philippines-born commerce and retail infrastructure platform, as the company doubles down on Malaysia, Singapore, and Indonesia to build a regional operating layer for consumer brands selling across Southeast Asia.

The size of the investment was not disclosed.

Also Read: Ayala Ventures, Foxmont Capital join etaily’s US$1.6M seed round

The deal comes months after etaily raised a late-2025 financing round led by Sumitomo Mitsui Banking Corporation’s Asia Rising Fund. It also adds a Malaysian investor to a cap table that already includes Pavilion Capital, Ayala Corporation, the Gokongwei Group, the Cheng family behind Landmark, the Po family behind Century Pacific Food Corporation, Magsaysay family investors, Kaya Founders, Japan’s SBI ICCP Fund, and Foxmont Capital.

Founded in 2020, etaily helps consumer brands run and scale online and omnichannel operations across Southeast Asia. Its platform covers marketplace management, direct-to-consumer commerce, social commerce, livestreaming, retail media, customer experience, fulfilment coordination, data analytics, and offline retail enablement.

The company works with more than 100 brands, including L’Oréal, Levi’s, Skechers, Fila, Vans, Columbia, and The North Face.

Malaysia becomes a bigger piece of etaily’s regional plan

For etaily, the Vynn Capital investment is less about entering Malaysia and more about making the market a core pillar of its Southeast Asian cluster strategy. Over the past year, the company has expanded local operations, hired dedicated teams and secured regional commerce mandates for global brands through partnerships, including Gulf Marketing Group, one of the Middle East’s largest retail operators.

The company is building what it describes as a multi-country cluster across the Philippines, Malaysia, Singapore, and Indonesia, allowing brands to enter and manage multiple Southeast Asian markets through a single operating framework. Several enterprise brands, including Vans, The North Face, Columbia, and Timberland, have used etaily’s multi-country operations.

“Malaysia is becoming an increasingly important pillar within our Southeast Asia cluster strategy,” said Alexander Friedhoff, founder and CEO of etaily. “Having a partner like Vynn Capital is highly strategic for us given their deep understanding of logistics, operational infrastructure, and regional scaling dynamics.”

Vynn Capital, founded in 2018, invests across mobility, fintech, commerce, supply chain, property technology, food and consumer technology, and business enablement platforms. The firm is led by Victor Chua, Tunku Ali Redhauddin ibni Tuanku Muhriz and Darren Chua, and has built a regional network across Malaysia, Singapore, Indonesia and Thailand.

Also Read: The long and winding road to e-commerce profitability

For etaily, that network could matter as much as capital. Commerce enablement in Southeast Asia is not only a software problem. It involves country-specific marketplace rules, fulfilment partners, warehouse operations, tax structures, retail relationships, creator networks and last-mile delivery constraints.

Why commerce infrastructure is attracting capital

Southeast Asia’s e-commerce market is large, but fragmented. According to the e-Conomy SEA 2024 report by Google, Temasek and Bain & Company, the region’s e-commerce gross merchandise value reached about US$159 billion in 2024, making it the largest component of Southeast Asia’s digital economy.

But growth has become more complex. Brands are no longer selling through one or two marketplace storefronts. They are juggling Shopee, Lazada, TikTok Shop, brand.com sites, livestreaming, affiliate creators, retail media campaigns and offline retail partners. Consumer acquisition costs have risen, discount-led growth has become harder to sustain, and marketplaces are pushing brands to spend more on ads, content and fulfilment efficiency.

This is where companies such as etaily come in. Rather than acting only as an agency or marketplace operator, etaily is positioning itself as infrastructure for brands that want regional expansion without building full local teams in every market.

Its “online-first, offline-to-follow” model starts with digital channels and expands into physical retail once demand, data and category fit are validated. This approach is increasingly relevant in Southeast Asia, where online discovery and offline purchase still overlap heavily, particularly in beauty, fashion, footwear and consumer goods.

The rise of TikTok Shop has also changed the playbook. Social commerce is no longer a side channel in markets such as Indonesia, Thailand, Vietnam, the Philippines, and Malaysia. Brands now need content production, creator management, livestream operations and campaign analytics alongside traditional marketplace execution.

etaily said the fresh capital will support AI-enabled commerce operations, retail media capabilities, fulfilment integration, social commerce expansion and cross-border brand growth initiatives.

A crowded but expanding field

etaily is not alone in chasing this opportunity. Southeast Asia has produced several commerce enablement and brand operating platforms over the past decade.

Thailand-founded aCommerce has long served enterprise brands across e-commerce operations, fulfilment and performance marketing. Intrepid, another player, operates in six markets in Southeast Asia and works with major brands on marketplace and digital commerce execution. Singapore-linked Synagie built a regional e-commerce enablement business before being acquired. AnyMind Group, while broader in scope, has also expanded across creator commerce, D2C support, logistics and brand growth services.

Then there are technology-led players such as Anchanto, which provides SaaS for warehouse and order management, and marketplace-native tools that help sellers optimise listings, inventory and advertising. At the channel level, Shopee, Lazada and TikTok Shop are also deepening their own brand services, advertising products and fulfilment offerings.

This means etaily’s challenge is not just expansion, but differentiation. The company’s pitch rests on combining operational execution with data, AI, retail media, creator commerce, and offline retail enablement under one regional structure. If it can make that model work across Malaysia, Singapore, Indonesia, and the Philippines, it could become more than an outsourced e-commerce operator.

Philippines roots, regional ambitions

The investment also underlines a broader shift: more venture-backed companies from the Philippines are attempting to scale into Southeast Asia, rather than remaining domestic plays. etaily’s rise has been recognised by the Financial Times, which ranked it as the third-fastest-growing company in Asia Pacific in 2025 and the fastest-growing company in the Philippines.

Also Read: SEA e-commerce surges to US$185B as video commerce becomes the new growth engine

That ranking gives etaily momentum, but regional expansion will test whether its Philippine success can be replicated in more competitive and operationally demanding markets. Malaysia offers a useful bridge: it is digitally mature, connected to Singapore, influenced by regional retail groups and increasingly important for cross-border brand strategies.

Indonesia, however, will likely be the bigger prize and the harder test. It is Southeast Asia’s largest digital economy, but also one of the most complex, with intense marketplace competition, regulatory shifts around social commerce and highly localised consumer behaviour.

For Vynn Capital, the bet fits its focus on companies that modernise traditional industries through technology and operational infrastructure. For etaily, the investment gives it a stronger Malaysian anchor at a time when global brands are looking for fewer partners that can manage more markets, channels and customer journeys.

The next phase will show whether commerce enablement in Southeast Asia consolidates around a few regional infrastructure players — or remains a market of country specialists, agencies, logistics providers and marketplace-native operators stitched together by brands themselves.

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BYD co-founder-backed OMOWAY bags funding to join Southeast Asia’s electric motorcycle race

OMOWAY, a China-born intelligent mobility startup building smart electric motorcycles, has completed consecutive Series A and Series A+ financing rounds as it begins global deliveries of its flagship OMO-X model, starting with Indonesia.

The company said the Series A+ round was led by Lochpine Capital, an industrial investment fund backed by battery giant CATL. Its Series A round was led by Monolith, with CICC Capital and existing backer ZhenFund also participating.

OMOWAY did not disclose the exact amount raised, saying only that the two rounds brought in “tens of millions of US dollars”.

Also Read: 🛵 Revolutionising urban commutes: Southeast Asia’s prominent electric two-wheeler startups

Other investors in the company include Hongshan, RocketsCapital, the corporate venture capital arm of XPeng, and Hui Capital, an industrial fund founded by a BYD co-founder.

Founded in July 2024, OMOWAY is positioning itself at the intersection of electric two-wheelers, robotics and connected mobility. Its first product, OMO-X, is marketed as a mass-produced self-balancing smart motorcycle built on the company’s proprietary OMO-ROBOT architecture.

The company has picked Indonesia as its first delivery market, a logical but highly competitive launchpad. Indonesia is one of the world’s largest motorcycle markets, with more than 120 million motorcycles on its roads, and two-wheelers remain the backbone of daily commuting, informal commerce and last-mile logistics across the archipelago.

Indonesia first, Southeast Asia next

OMOWAY said it began the first global customer deliveries of OMO-X in June, with Indonesia receiving the initial batch. The startup claims OMO-X became the top electric motorcycle brand in Indonesia by order volume during its launch month, although it did not disclose the number of units ordered or delivered.

The company has also set up dozens of dealer locations across Jakarta, Bandung, Surabaya, other parts of Java and Bali. After Indonesia, OMOWAY plans to expand deliveries to Thailand, Singapore, Europe and other markets.

The Southeast Asian angle is central to OMOWAY’s expansion story. Unlike Europe or the US, where electric cars dominate the electrification narrative, Southeast Asia’s transition is more likely to be led by motorcycles. In Indonesia, Vietnam, Thailand and the Philippines, two-wheelers are not niche vehicles; they are mass-market mobility infrastructure.

Indonesia has set ambitious goals to accelerate electric vehicle adoption, including targets for millions of electric motorcycles on the road by the end of the decade. Yet adoption has remained slower than policymakers hoped, held back by pricing, battery concerns, charging access, resale uncertainty and consumer loyalty to established petrol brands such as Honda and Yamaha.

Also Read: The real opportunity in ASEAN’s EV market lies in regional coordination

This is the gap OMOWAY is trying to enter: a market where the need is obvious, but where electric motorcycle makers still have to prove that they can offer not just lower running costs, but also reliability, service coverage and a better riding experience.

A crowded electric motorcycle field

OMOWAY is arriving in Indonesia at a time when the electric two-wheeler market is becoming increasingly crowded.

Local and regional players include Alva, backed by Indonesia’s Indika Energy; Polytron, which has pushed battery leasing models; Smoot, which has worked with battery-swapping infrastructure; and Gesits, one of Indonesia’s early domestic electric motorcycle brands. Singapore-headquartered ION Mobility is also targeting Indonesia with its M1-S electric scooter and has raised capital from investors including TVS Motor.

Beyond startups, Japanese incumbents remain the most formidable competitors. Honda and Yamaha have spent decades building dense dealership, financing and servicing networks across Southeast Asia. Their petrol motorcycles dominate roads from Jakarta to Ho Chi Minh City, and any meaningful shift to electric two-wheelers will require consumers to trust new brands on after-sales service, battery durability and spare parts availability.

China’s electric two-wheeler ecosystem is another competitive force. Chinese manufacturers have scale, supply-chain advantages and battery access, but they have also faced the challenge of adapting products to Southeast Asia’s road conditions, pricing expectations and regulatory requirements.

OMOWAY is attempting to differentiate through intelligence rather than price alone. The OMO-X comes with a digital key, a large smart navigation display and remote vehicle control. A higher-end Balance version adds low-speed balance assistance using the company’s self-balancing technology.

That feature is meant to address one of the oldest problems in motorcycling: instability at low speeds. In dense urban environments such as Jakarta, Bangkok and Ho Chi Minh City, where riders frequently crawl through traffic, stop suddenly or carry passengers and cargo, low-speed control can be more than a novelty. If the technology works reliably at scale, it could appeal to newer riders, delivery workers and urban commuters who want the convenience of a motorcycle without some of the intimidation that comes with handling one.

From motorcycle to wheeled robot

OMOWAY’s broader pitch goes beyond electric motorcycles. The company describes itself as a wheeled robotics company, not simply a vehicle manufacturer.

Its OMO-ROBOT architecture is designed as a closed-loop system integrating perception, decision-making, execution and information transmission. In practical terms, the company wants to turn two-wheelers into “two-wheeled robots” capable of sensing, computing and responding to riding conditions.

OMOWAY said it has also developed Mobility One, a fully self-developed wheeled robot platform, with a prototype expected to be unveiled later this year. The company sees potential applications beyond personal mobility, including logistics and public services.

That ambition mirrors a broader shift in mobility investing. Investors are increasingly looking beyond hardware margins and asking whether vehicle startups can build software-led platforms, recurring service revenue, fleet management tools or robotics capabilities. This is especially relevant in Southeast Asia, where last-mile delivery, ride-hailing and urban logistics remain large markets but are under pressure to reduce costs and emissions.

Still, execution will matter more than positioning. Building smart electric motorcycles at scale is difficult. So is maintaining dealer networks across fragmented island geographies such as Indonesia. The company will need to show that OMO-X can survive heat, humidity, rough roads, flooding, heavy usage and inconsistent charging access.

The road ahead

OMOWAY’s fresh funding gives it capital and strategic backing at a time when the electric two-wheeler market is shifting from early pilots to commercial competition. CATL-linked capital could also prove useful as battery supply, safety and cost remain key factors in the sector.

But Indonesia will be a demanding first test. Consumers in the market are value-conscious, petrol motorcycles are affordable and widely serviced, and electric alternatives still need stronger financing, charging and battery-swapping ecosystems to reach mass adoption.

For Southeast Asia, however, the stakes are significant. If electric two-wheelers can reach price parity, improve safety and integrate smarter software, they could play a major role in reducing urban emissions and fuel dependence across the region.

Also Read: Dat Bike teams up with Japan’s FCC in US$22M Series B round

OMOWAY’s first deliveries in Indonesia mark the beginning of that test. The company now has to prove that its “smart motorcycle” thesis is not just a technology story, but a commercially viable mobility business in one of the world’s toughest and most important two-wheeler markets.

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The extreme fear metric: Why forced liquidations are driving today’s market bounce

The global cryptocurrency market climbs 1.92 per cent, reaching a total valuation of US$2.09 trillion. This upward movement stems primarily from a sharp technical bounce and a significant short squeeze concentrated within Bitcoin. Interestingly, a strong statistical relationship now exists between cryptocurrency and gold, with a 67 per cent correlation indicating that investors increasingly view both assets as inflation hedges.

The broader market movement reflects a multi-driver dynamic, combining relief from heavily oversold conditions, a wave of positive regulatory sentiment, and a targeted rotation of speculative capital into high-beta narratives that have historically outperformed the broader market during brief periods of recovery.

The primary force driving this sudden market lift is a dramatic short squeeze and an oversold bounce led by Bitcoin, which successfully reclaimed the US$61,300 level. This critical price movement forced short sellers to cover their positions aggressively, triggering over US$72 million in short liquidations in a single day. This massive wave of liquidations suggests that the recent upward price pressure is more of a mechanical reaction to oversold conditions than a rally driven by organic, long-term buying interest.

This technical squeeze occurred even as the broader Fear and Greed Index lingered at a deeply pessimistic level of 19, indicating extreme fear among market participants. Consequently, the brief rally reflects forced leveraged closures rather than fresh capital injections, meaning the durability of this move depends heavily on whether Bitcoin can maintain its position above this critical point.

Simultaneously, a supportive backdrop emerged from shifting regulatory discussions and a distinct rotation in market narratives. Positive commentary from regulatory bodies on digital commodity classification injected confidence into the trading environment, helping reduce a persistent cloud of uncertainty that has long suppressed market activity. With regulatory fears temporarily eased, speculative capital quickly migrated into high-momentum sectors rather than distributing evenly across all digital assets.

The rollups narrative gained 3.63 per cent, while some memecoins surged by more than 28 per cent. This behaviour underscores a broader trend in which traders chase alpha in isolated, catalyst-driven altcoins, suggesting that market participants are currently favouring targeted speculative plays over broad-based or sustained market expansion.

Also Read: The short squeeze illusion: Why derivative squeezes make fragile foundations for Bitcoin

Looking ahead to the near-term market outlook, the immediate path for the digital asset space depends entirely on Bitcoin’s upcoming price action. The total market capitalisation is currently testing its seven-day simple moving average near US$2.09 trillion, with the next major Fibonacci resistance level at US$2.15 trillion, representing a 50 per cent retracement.

If Bitcoin manages to hold firm above the US$61,300 threshold, the market is highly likely to test a broader resistance zone ranging between US$2.15 trillion and US$2.18 trillion. A breakdown pushing the price below US$58,000 could quickly invalidate this technical bounce and trigger renewed selling pressure across the board. Traders must remain vigilant, particularly as negative spot exchange-traded fund flows persist and the market eagerly awaits the next round of United States jobs data and shifts in investment vehicles for clearer directional cues.

This cautious cryptocurrency bounce stands in stark contrast to the turbulent conditions observed in the traditional financial landscape, where global markets recently stumbled. A steep selloff in chipmakers and semiconductor stocks, combined with hawkish commentary from the Federal Reserve, prompted traditional investors to lock in profits and exit technology positions. Traditional equity markets closed slightly lower just before the Independence Day holiday, with crude oil prices slipping slightly while gold held steady.

On Wall Street, the S&P 500 slipped to 7,483, while the Nasdaq fell marginally by 0.03 per cent and the Dow Jones Industrial Average edged lower by 0.66 per cent to 26,040. The technology sector experienced a sharp divergence, highlighted by a 10 per cent plunge in Micron alongside significant dips for Nvidia and Intel, even as Meta Platforms bucked the trend by surging 8.8 per cent on reports of its expansion into artificial intelligence cloud infrastructure.

Traditional market sentiment was further constrained by comments from Federal Reserve leadership, which noted that while inflation risks are gradually fading, market participants should temper any immediate expectations for interest rate cuts. This hawkish tone pushed the United States 10-year Treasury yield up to 4.47 per cent, ahead of early bond market closures for the holiday weekend.

The ripples of this tech sector correction extended deeply into the Asia-Pacific region, where South Korea’s Kospi index plunged roughly 7 per cent before recovering some of its losses. Japan’s Nikkei index similarly suffered from aggressive profit taking in major technology names, even as the Japanese yen staged a modest rebound from a historic 40-year low. Closer to local regional markets, the ASX 200 opened lower across all major sectors, heavily weighed down by technology, energy, and mining equities, while the benchmark index in Singapore surrendered 0.7 per cent to finish at 5,170.65.

Also Read: Why tracking Bitcoin ETFs matters

Amid these macroeconomic shifts, prominent industry figures like Brian Armstrong have pointed out a persistent gap in public perception, noting that many observers still erroneously assume the entire asset class is down simply because Bitcoin experiences a correction. The reality is far more complex, as derivatives, perpetual contracts, stablecoins, and prediction markets have all charted positive growth metrics.

Digital asset infrastructure now touches almost every major corner of global finance, revealing an ecosystem that has grown far beyond its original architecture. While Bitcoin remains immensely important and is poised to perform exceptionally well through its ongoing market cycles, the broader ecosystem is steadily preparing for a structural evolution that extends far beyond a single asset or a basic store of value.

This evolution brings us to a critical crossroad regarding the true selling point of this technology, which must centre on a return to decentralisation rather than a desperate chase after traditional financial liquidity. The digital asset space certainly needs a better product than Bitcoin to fulfil its original promise, but that ideal product is definitely not a stablecoin pegged directly to a fiat currency that citizens are losing faith in, nor is it a collection of tokenised traditional stocks.

Builders can choose to construct a replica of the traditional stock exchange, but the community must remember the core ethos that initiated this entire movement. The forward path does not require mimicking the existing financial elite, but rather waiting for and developing a superior product that champions true decentralisation over corporate integration.

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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Vietnam’s healthtech boom has a talent problem nobody is talking about

I’ve spent over a decade placing IT professionals across Vietnam’s tech landscape. I thought I’d seen every version of a talent war. Then healthtech arrived at scale, and it’s different.

The shortage isn’t in general developers. It’s at a very specific intersection: someone who can build robust software and understand why a clinician’s workflow looks the way it does. That profile is rarer than most hiring managers realise.

The market isn’t optional anymore

Vietnam’s digital health market is projected to reach US$815 million in 2026, growing to US$9.5 billion by 2034. But the more important story isn’t market size; it’s regulatory necessity.

Under Decision 749/QĐ-TTg, all healthcare facilities were mandated to implement EHR by 2025–2026. As of early 2026, approximately 1,210 of 1,650 hospitals have announced EMR implementations. The 2025 Decree on Health Data Management raised the bar further, requiring HL7/FHIR compliance, data encryption, audit logging, and digital signatures. The government has committed VND 30,000 billion (~US$1.26 billion) to back it.

This is compliance-driven demand. It doesn’t wait for organisations to be ready.

FDI is moving in lockstep: roughly 160 foreign projects in healthcare and pharmaceuticals with nearly US$1.8 billion in registered capital as of mid-2024. Every new foreign-backed healthtech venture needs the same thing, skilled IT professionals who can operate in a high-compliance, clinically-adjacent environment.

Four layers, four different hiring profiles

The mistake I see most often: treating “healthtech hiring” as one problem.

  • Infrastructure (HIS/EHR): The most urgent layer. Compliance-aware engineers with HL7/FHIR fluency. Most non-negotiable demand, least glamorous work. FPT and VNPT dominate domestically, but international vendors are entering fast.
  • Clinical AI: AI/ML Engineers with medical imaging experience (DICOM, radiology pipelines). Globally scarce — Vietnam is no exception.
  • Telehealth and consumer: Product-minded mobile and backend engineers. Closest to fintech talent in profile, and therefore most contested.
  • Healthcare commerce: High-transaction backend, supply chain architecture. BuyMed (US$51.5M Series B) has defined this layer’s standard.

Hiring “a backend developer for our healthtech project” without knowing which layer you’re building for is a mistake that shows up three months into onboarding.

Also Read: Vietnam isn’t just inviting private capital in. It is structurally dependent on it

The real gap

Vietnam produces 50,000–60,000 IT graduates per year across 153+ universities. The pipeline isn’t the problem. Average IT compensation has climbed ~35 per cent year-over-year, with senior developers commanding 50–70 per cent more than two years ago, signs of fierce competition, not scarcity of raw talent.

The problem is the intersection. Engineers with genuine clinical workflow understanding, HL7/FHIR experience, and compliance-aware development instincts are a small fraction of the market. According to the ITviec IT Salary and Recruitment Report 2025–2026, demand for digital transformation talent is surging across all sectors — healthtech is competing for the same pool as fintech, e-commerce, and enterprise SaaS, all at once.

In our pipeline, roles like Healthcare IT PM, medical imaging AI Engineer, or Health Data Security Specialist routinely take two to three months to fill through standard processes. Organisations that haven’t invested in employer branding for healthtech will lose candidates at the offer stage, consistently.

Speed is the strategy

The organisations winning right now have one thing in common: they treat hiring as a product problem, not an HR process.

EHR mandates, funding milestones, and product launches don’t accommodate 90-day recruitment cycles. The practical moves that work:

  • Pre-built talent pipelines over job postings, the difference between a seven-day shortlist and a 70-day search is whether the candidate relationship already exists
  • Staff augmentation to align headcount with project phases, not lock in fixed overhead at the wrong moment
  • EOR structures for Singapore, Japanese, and Australian companies building Vietnam teams — bypassing the three-to six-month entity setup before a single hire is made

One overlooked angle: interoperability engineers. Vietnam’s EHR adoption numbers look strong, but hospitals are still storing data in incompatible formats, a problem the Vietnam Medical Informatics Association has flagged publicly. Engineers with HL7 FHIR integration experience and legacy system API skills are disproportionately valuable right now, before the next regulatory tightening cycle.

Also Read: Vietnam’s biggest PE bet of 2025 was not on tech. It was on what 100M people eat every day

The window is open (for now)

The regulatory mandate is real. The FDI is deployed. The government’s commitment is sustained. What’s uncertain is which organisations build the right teams before the talent market tightens further.

The ones that win won’t necessarily have the largest budgets. They’ll be the ones who understood early: in a compliance-driven, deadline-pressured market, hiring speed is a competitive advantage, and they structured their strategy accordingly.

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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Funded: AI is having its moment, climate is having a crisis. SEA can’t afford to confuse the two

I’ve lived across Southeast Asia long enough to know what the heat feels like in five different cities.

Jakarta. Ho Chi Minh City. Singapore. Kuala Lumpur. Manila.

They all feel different. But they’re all on the same clock.

I’m not a climate scientist. I’m not a fund manager with a climate mandate. I’m someone who has spent over a decade moving across this region, watching capital flow, watching ventures rise and fold, watching ecosystems get built and ignored. I write about impact capital every week. But this week I want to write about something more personal.

I don’t have kids. My relationship with the future works differently from most people my age. It runs through two dogs, a meditation practice, and a stubborn, quiet belief that this region doesn’t have to end the way the projections currently suggest.

That’s why I keep watching climate when the room has moved on.

And right now the room has very much moved on.

The AI gravity problem

Every founder pitch I see has an AI angle. Every fund narrative has pivoted to include intelligence, automation, and agents. I get it. The returns are real. The narrative is loud. The FOMO is louder.

But here’s what’s getting drowned out.

Jakarta is sinking. Literally. Parts of North Jakarta have already dropped several metres, and the projection hasn’t changed. Ho Chi Minh City floods regularly now in ways it didn’t a decade ago. Manila’s coastal communities are being quietly relocated. Bangkok is dealing with saltwater intrusion. Singapore, the most climate-prepared city in the region, is spending billions on sea walls and still isn’t sure it’s enough.

This isn’t future risk. This is the current reality.

And yet. According to Tracxn data tracking SEA climate tech, funding in 2026 so far has recorded only four rounds totalling roughly US$17 million. That’s down nearly 60 per cent from the same period last year. Meanwhile, global AI funding crossed US$100 billion in the first half of 2025 alone.

The attention gap is real. And it’s widening.

Also Read: Funded: I keep a notebook by my bed with one question about SEA climate

The observer’s dilemma

I sit at the edge of the climate ecosystem. Not fully inside it. More like someone with their nose pressed against the glass, taking notes.

What I see from out here is a gap between urgency and attention. The urgency is accelerating. The attention is fragile and easily stolen by whatever narrative is loudest that quarter.

In 2021, it was crypto. In 2023, it was generative AI. In 2025, it was agents. Climate was supposed to have its moment in between. It did, briefly. Then the room moved again.

The venture building in climate didn’t move. They’re still here. Rice decarbonisation tackling one of SEA’s largest methane sources. Seaweed biostimulants are replacing chemical fertilisers across smallholder farms. Biochar carbon removal. Agrifood waste converted to sustainable fuels. Decentralised solar reaching communities the grid forgot. These aren’t concepts. They’re operating companies with revenue, with farmers, with real emissions reductions happening right now.

They just don’t trend.

The handful of funds that stayed committed to this space know this. SEEDS Capital, Entrepreneur First, East Ventures, SGInnovate and 100×100 formerly Wavemaker Impact, which just rebranded after spinning out as an independent fund manager with a fresh US$100 million mandate to build 50 climate companies across SEA and India, have done the unglamorous work of showing up round after round. Between them, they represent what conviction actually looks like in a space that doesn’t reward impatience.

Everyone else mostly came once.

What the future generation inherits

I think about this a lot. Not in a guilt-ridden way. More practical.

The cities I’ve lived in across this region are places people love. Street food at midnight. Communities that take care of each other. Chaos that somehow works. There is a version of 2040 where all of that is still here, adapted, resilient, figuring it out.

And there is another version.

Also Read: Investing in impact: High-growth tech for climate and community

The IPCC estimates that without significant intervention, Southeast Asia faces GDP losses of up to 11 per cent by 2100 due to climate impacts. The Asian Development Bank puts the region’s climate adaptation financing gap at over US$100 billion annually. Indonesia’s JETP commitment alone sits at US$21.6 billion. Vietnam’s at US$15.5 billion. The money being talked about is enormous.

The money actually reaching climate ventures at the early stage is not.

The capital deployed in the next five years will have more influence over which version of 2040 shows up than most people in the venture ecosystem currently acknowledge. That’s not an activist talking. That’s just what the data says when you read it without the AI hype in the background.

The ask isn’t to stop building AI

It’s to hold both.

The founders building climate ventures in SEA right now don’t need sympathy. They need capital that stays. They need fund managers who treat climate the same way they treat AI – as a structural bet on where the world is going, not a checkbox on an LP deck.

900 backers have put money into climate tech in SEA, according to recent data. You can count the ones who kept showing up on one hand.

The next generation doesn’t get to choose the cities they inherit. But the people reading this do get to choose where they put their attention and their capital right now.

I’m watching. Still at the window. But watching closely.

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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