e27 has been nurturing a supportive ecosystem for entrepreneurs since its inception. Our Contributor Programme offers a platform for sharing unique insights.

As part of our ‘Contributor Spotlight’ series, we shine a spotlight on an outstanding contributor and dive into the vastness of their knowledge and expertise.

In this episode, we feature Kristen Lim, Co-Founder and CEO of Rockrose, an executive search firm focused on top talent in Emerging Tech, Fintech, and Web3. With over a decade in headhunting, she has placed 120+ senior leaders across 30+ global firms and brings cross-cultural insight from working with corporates, startups, and remote teams across Western and Asian markets.

Thoughts, goals, and journey

Lim began her career in finance but made a deliberate shift into recruitment driven by a personal desire to understand and master sales. What started as a curiosity quickly became a long-term calling — one she has never looked back from. Today, she is the Co-Founder and CEO of Rockrose Executive Search, a firm she built to continue her mission of connecting exceptional talent with the right opportunities.

Passionate about both people and technology, Lim operates at the intersection of these two domains. She works closely with companies to identify and place leaders who will drive innovation and shape the future through technology. “My personal goal is to become a thought leader in leadership, recruitment, and entrepreneurship,” she said.

Lim sees GenAI as a major force transforming industries and is closely following its impact on talent, leadership, and the workplace. “The most recent trend is GenAI. It is evolving at lightning speed, and I believe the future of work will look very different from today,” she added.

The driving force

Lim has been an active contributor to our thought leadership community since joining the programme last year. Drawing from her experience in executive search and her deep interest in people and technology, her writing delves into themes such as the future of work, evolving trends in human resources, and navigating modern career paths.

“A friend told me about this programme, and I felt it was a great opportunity to share my insights with readers who are just as passionate about technology as I am,” she said.

Also Read: Kevin Shepherdson: Transforming data privacy and AI governance in ASEAN

Her advice to those beginning their thought leadership journey is simple: “Just start contributing — your future self will thank you for it. Writing helps shape our thoughts and ideas, and it helps us grow in ways we may not see immediately.”

Juggling too many things?

Work-life balance plays a critical role in entrepreneurship. Unlike traditional jobs, running a business often blurs the line between work and personal time, making it essential for founders to consciously create space for rest, reflection, and non-work pursuits. Maintaining this balance isn’t just about well-being—it directly impacts clarity of thought, resilience, and the ability to lead effectively over time.

Lim believes that work-life balance, especially for entrepreneurs, is less about maintaining strict boundaries and more about creating a fluid integration of personal and professional priorities. She sees entrepreneurship not as a means to escape work demands, but as a way to design a more intentional and flexible lifestyle that aligns with her values and energy.

She said, “Entrepreneurship allows me to balance work and personal life more effectively, and it becomes work-life integration rather than just work-life balance. My strategy for growth is to have an open mind and stay curious. If we seek to learn from others, the learnings will present themselves, we just need to keep an open mind and have the willingness to learn.”

Staying in the loop

Staying current in a fast-evolving industry like tech and recruitment requires more than just reading the news or attending events. For Lim, it’s about being in constant dialogue with the people driving those changes. She believes that staying connected with peers, clients, and leaders across sectors is one of the most effective ways to understand where things are headed and how to adapt.

“Through conversations with the leaders in my field. I talk to leaders and executives day in and day out. These conversations help me stay ahead of the curve on the latest developments in technology and how they impact workplaces and culture,” she said, explaining how she remains informed and relevant.

For those who want to stay informed, she recommends subscribing to Rockrose Pulse on Substack, a platform she curates to share observations on the job market and the evolving relationship between technology and people.

Take a look at her articles here for more information and perspectives on her expertise.

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Are you ready to join a vibrant community of entrepreneurs and industry experts? Do you have insights, experiences, and knowledge to share?

Join the e27 Contributor Programme and become a valuable voice in our ecosystem.

The post Work, tech, and talent: Kristen Lim on the evolving nature of leadership appeared first on e27.

For AI to drive a green revolution, innovations in computing efficiency and clean energy integration are crucial. This article explores next-gen AI hardware, energy-aware algorithms, and policy strategies that can align AI’s growth with sustainability.

Pathways to sustainable AI: Tech innovations and policy responses

For AI to truly spark a green revolution, innovation must focus on making computing more efficient and integrating AI growth with clean energy systems. This involves advances in hardware and software, as well as smart policies, to nudge the industry in the right direction.

Technological levers for efficient AI

• Next-gen AI chips (ASICs and photonics)

Traditional CPU/GPU architectures are not very energy-efficient for AI workloads. Enter specialised AI accelerators. Companies like Lightmatter are developing photonic (light-based) chips that perform AI computations using photons instead of electrons, massively reducing energy loss as heat.

Lightmatter’s chip reportedly achieves 9 petaflops per watt of performance — orders of magnitude beyond conventional silicon. If such optical computing scales up, future AI models could run on a fraction of the energy today’s do. Similarly, Google’s TPUs and various startups’ AI ASICs are tuned for maximum throughput per watt, offering 2 to 5× improvements over general GPUs.

• Neuromorphic computing

Inspired by the human brain, neuromorphic chips (like Intel’s Loihi 3) use networks of “spiking” neurons that are extremely low-power. They excel at tasks like pattern recognition with minimal energy. Intel reports up to 76 per cent lower energy for LLM inference with neuromorphic approaches on some workloads. While still experimental, these could allow AI systems that learn and operate continuously on tiny power budgets — think AI co-processors that sip power like a LED lightbulb.

• Algorithmic efficiency (better software)

On the software side, there’s a push for efficient AI algorithms — for example, techniques like model pruning, quantisation, and knowledge distillation, which create smaller models that run faster. A pruned or distilled model can often achieve 90 per cent of the accuracy of a large model with, say, 50 per cent less computation required.

OpenAI and others are actively researching ways to maintain capability while cutting out the “waste” in neural networks. In training, new optimisation methods and architectures (like sparsely activated models) promise to reduce the compute needed to reach the same accuracy. These advances directly translate to energy saved.

• Carbon-aware computing

Software is also helping schedule computing tasks at times and places where energy is clean. For instance, Microsoft Azure’s carbon-aware workload scheduling now shifts nearly 40 per cent of AI jobs to regions or times where renewable energy is abundant. If the wind is blowing in one data centre region, Azure will queue more AI jobs there, and pause or move jobs from another region that’s on fossil power at that moment. This kind of intelligent orchestration can significantly cut the effective carbon footprint of AI computations.

• Energy-proportional computing and PUE improvements

Data centre engineers continue to drive down overhead so that almost every watt goes to computing, not waste. Average Power Usage Effectiveness (PUE) has improved (some hyper-scale centres are at a PUE of 1.1 or lower, meaning 90+ per cent of energy powers IT equipment).

Techniques like better airflow management, AI-controlled cooling (as discussed), and even waste heat reuse (heating nearby buildings with server heat) all contribute. The closer we get to a PUE of 1.0 and fully utilised servers, the more work (AI tasks) we can get done per unit of energy input.

Also Read: 5 reasons why energy management is key to individual and organisational success

Policy interventions

Governments can guide the AI-energy trajectory with targeted policies and standards:

• Energy Efficiency Standards for AI Models

Just as there are fuel economy standards for cars, we may see efficiency standards for AI. The EU’s contemplated rule requiring 15 per cent energy efficiency improvement in new AI models is a first step. If major markets adopt similar rules or require reporting of AI energy use, it creates a competitive incentive to design greener AI. Transparency is key — imagine an “Energy Star” rating for AI services, where customers could choose a provider that is more energy-efficient.

• Carbon-adjusted pricing and credits

Some regions are introducing tariffs or credits to encourage clean energy usage. For example, California and Bavaria (Germany) have floated the idea of carbon-adjusted power purchase agreements that penalise data centres drawing power from grids below a certain renewable percentage.

Under such schemes, if an AI facility isn’t using (or contracting for) at least 80 per cent clean power, it would pay a surcharge or face limits. This kind of policy pushes companies to invest in renewables or locate where clean power is available, to avoid financial penalties.

• Dynamic electricity pricing

Grid operators like PJM in the US are implementing real-time pricing to manage peaks. PJM’s dynamic tariffs have encouraged data centres in its region (e.g., northern Virginia) to reduce peak load by 19 per cent — they respond to price spikes (often corresponding to dirty peaker plants coming online) by dialling down non-urgent workloads. Wider use of dynamic pricing will reward AI operations that can flex around grid conditions, effectively incentivising them to be more grid-friendly and efficient.

• Accelerating clean energy permitting

One practical bottleneck for sustainable AI power is the slow permitting of new renewable projects and transmission lines. Policymakers can streamline this — for instance, the US Nuclear Regulatory Commission is fast-tracking approvals of advanced reactor designs aiming to have a set of SMRs approved by 2026, specifically with data centre use cases in mind.

Governments can also designate “energy corridors” for easier building of high-voltage lines to data centre regions, or provide grants for battery storage at data hubs. All these reduce the risk that AI’s growth outstrips green energy availability.

• Support for R&D

Supporting the development of the above-mentioned technologies (optical computing, neuromorphic, etc.) through grants and public-private partnerships can speed their arrival. Given AI’s strategic importance, one can envision national programs to develop next-gen low-power AI hardware (the way there were initiatives for supercomputing in past decades). This not only helps the climate but also ensures a country’s AI industry remains globally competitive as efficiency becomes a differentiator.

The big picture is that a combination of technology innovation and forward-thinking policy can bend the trajectory of AI’s energy impact. It’s analogous to the auto industry — without better tech (EVs, hybrids) and policies (fuel standards, incentives), car emissions would have kept rising unabated. With them, it’s possible to have the benefits of mobility (or in our case, AI capabilities) while mitigating the harms.

For corporate leaders, staying ahead on these fronts means:

•  Monitoring and adopting emerging efficient AI tech — perhaps experimenting with new accelerators or AI model optimisations that cut costs and footprint.
• Engaging with policymakers or industry groups to help shape sensible standards (it’s better to help craft the rules than be caught off-guard by them).
• Committing to transparency in AI energy use and emissions. Some leading companies already publish the PUE and carbon data of their data centres; extending this culture to AI operations builds trust and prepares the company for a future where stakeholders demand to know the climate impact of AI initiatives.

Next, we turn these insights into a concrete action plan for executives — what steps to take to ride the AI wave without capsising under energy costs or sustainability risks.

A tactical AI-energy strategy for corporate leaders

How can corporate decision-makers apply these insights in practice? Here we distill a practical guide — key questions to ask, and steps to take — to balance AI’s opportunities with energy and sustainability considerations.

Also Read: Why the future of space and energy storage might be growing in a Thai hemp farm

Five key questions every CEO should ask about AI and energy

• How much energy do our AI operations consume? — Get a handle on the current state. Measure the power usage of your AI workloads (on-premise and in cloud). Understand the scale: is it five per cent of your IT energy use? 50 per cent? Quantify it in kWh and dollars, so you have a baseline. Also project how this might grow with planned projects (if you adopt a new AI tool, will it double your compute hours? Triple?). You can’t manage what you don’t measure.
• Are we using the most energy-efficient AI models and infrastructure available? — Audit your AI stack. Are there opportunities to use smaller models, or algorithm optimisations like batching and quantisation to cut compute? Are you running on last-gen hardware out of habit, when new AI chips could do the job with 1/2 the energy? Push your tech teams and vendors to justify choices in terms of efficiency, not just accuracy or speed.
• Are we leveraging AI to optimise our own energy use? — This flips the script: use AI as part of the solution. Could AI tools help reduce energy waste in your operations (factories, offices, supply chain)? For example, using AI for route optimisation in logistics to save fuel, or for energy management in buildings (as some have done to cut HVAC costs by 15–30 per cent). Ensure your sustainability and facilities teams are exploring AI solutions — the ROI can be significant, and it creates a positive offset for the energy your AI projects consume.
• Are we investing in clean-energy-powered cloud services (or data centres)? — When choosing where to run AI workloads, factor in the energy source. Major cloud providers now offer regions or options powered by 100 per cent renewable energy — utilising those can drastically cut the carbon footprint. If you run your own data centre, consider power purchase agreements for renewables or even on-site solar. Essentially, align your digital infrastructure with your renewable energy procurement.
• Are we prepared for potential AI energy regulations? — Scan the horizon for laws that might affect your AI deployments. For instance, if efficiency standards for AI or reporting requirements come in a year or two, do you have the data to comply? If carbon pricing rises, do you know which AI projects would become more expensive to run? Engaging with industry groups and regulators proactively can give you a voice and early insight. Internally, scenario-plan for a future where “green AI” might be mandated either by law or by customers/investors.

Asking these questions at the C-suite level ensures that AI initiatives are not happening in a silo, but are integrated with energy management and corporate strategy.

Practical steps for sustainable AI adoption

Conduct an AI energy audit

Much like financial auditing, do an energy audit for AI. Map out all AI-related compute (data centres, cloud usage, edge devices) and tally the power usage. Identify hotspots — e.g., a particular analytics cluster or training workflow that draws a lot of power. This audit gives you a clear picture of where to target efficiency efforts.

It might reveal, for example, that 20 per cent of your AI jobs account for 80 per cent of the energy — maybe heavy model training that could be scheduled during off-peak hours or moved to a more efficient cloud zone.

Optimise and right-size AI workloads

Use the findings to implement quick wins:

• Model right-sizing: Where possible, replace giant models with smaller ones or use transfer learning to avoid training from scratch. If a 500-million parameter model can solve the problem, don’t use a 50-billion one. This can cut computation dramatically.
• Lifecycle management: Not all AI tasks need to run at highest frequency. Determine which jobs are mission-critical vs. which can be throttled or delayed in high load times. Leverage cloud auto-scaling to shut down idle resources (many companies find servers running when not needed — a pure waste).
• Use AI to tune AI: It’s meta, but you can apply AI to improve scheduling and resource allocation for your AI jobs (similar to how DeepMind’s system works for Google). This can maximise utilisation and reduce idle energy burn.

Leverage AI for broader energy management

As noted, deploy AI solutions in your operations to save energy and costs. For example:

• Implement an AI-based energy management system in corporate offices or factories (many vendors offer these).
• Use machine learning to analyse production line data for energy inefficiencies (maybe a certain machine uses more power than it should — predictive maintenance can fix that).
• Optimise logistics and travel with AI to reduce fuel use. Every kilowatt-hour or gallon saved here helps offset the extra energy your data centres might consume. And they directly save money, improving the business case for AI investments.

Adopt hybrid computing strategies

Not all workloads must run in power-hungry central clouds. Consider a hybrid AI approach: run smaller, latency-sensitive tasks on energy-efficient edge devices (or on end-user devices), and reserve big cloud compute for the truly heavy tasks. By using edge AI (which has no network transit and can be highly optimised), you reduce total energy per inference.

Also explore techniques like model distillation to create lighter versions of cloud models that can run on-premises or on cheaper hardware when appropriate. This hybrid mindset ensures you’re not always using a sledgehammer (huge cloud instance) for a nail (simple task).

Also Read: On the precipice of energy transition

Prioritise green cloud providers and contracts

When negotiating with cloud or data centre vendors, make sustainability a key criterion. Ask providers about their PUE, their renewable energy percentage, and their roadmap for low-carbon operations. Some cloud providers now offer dashboards showing the carbon emissions of your cloud usage — use those insights.

If you operate your own facilities, sign renewable energy contracts (PPAs) to cover your AI electricity use with clean energy. Also, work with utilities on programs (many utilities have “green tariffs” or will help with renewable projects if you’re a large load). Align your procurement so that as your AI energy use grows, your renewable supply grows in step.

Collaborate with industry and policymakers

Given the broader grid challenges, it’s wise for companies running big AI workloads to have a seat at the table. Join industry consortia focused on sustainable data centres or AI ethics that include energy impact. Engage local governments if you’re building data facilities — perhaps partner on community solar/storage so the investment benefits both you and the grid.

Being proactive can also help shape favorable policies (for instance, incentives for using local clean power or faster permitting for your backup generators etc.). Don’t wait to be caught by surprise regulations; help shape the narrative that AI can be part of the climate solution.

Scenario planning and risk mitigation

Finally, include energy security in your risk assessments for AI. Ask “what if” questions: What if power is constrained in Region X — do we have failover in a different region? What if electricity prices spike 3× — does our AI project still make economic sense, and can we hedge that risk?

Have backup plans for critical AI services if rolling blackouts or energy rationing ever hit (not unthinkable in some grids). By planning for these contingencies, you ensure AI deployments are resilient and won’t be derailed by external energy shocks.

By taking these steps, executives can balance efficiency, cost, and sustainability in their AI adoption. The companies that follow this playbook will likely have a smoother ride scaling AI — with lower bills and stronger ESG credentials — than those who treat energy as an afterthought.

Conclusion: A contested energy future

AI’s rise presents both a monumental challenge and an opportunity for the energy landscape.

On one hand, AI’s energy demands are forcing a reckoning: power grids are under strain, carbon goals are at risk, and companies may face tough trade-offs or regulatory hurdles if they ignore the issue. On the other hand, AI offers unprecedented tools to drive efficiency, optimise energy systems, and accelerate the transition to cleaner power.

For corporate leaders, the takeaway is clear: the future will belong to those who integrate AI and energy strategy. The organisations that treat energy as a core element of their AI plans — investing in efficiency, securing sustainable power, innovating with AI in their operations — will lead the pack.

They’ll enjoy more reliable growth (because they won’t hit energy ceilings), better public trust, and likely cost advantages as well. Those that ignore the linkage may find themselves facing energy supply crises, skyrocketing costs, or regulatory roadblocks that stall their AI ambitions.

The choice isn’t whether to adopt AI — that wave is here and necessary to remain competitive. The choice is how to do so responsibly and strategically. Companies that can harness AI and champion sustainability will shape the narrative of the coming decades. They’ll prove that innovation and green objectives can reinforce each other, not collide.

In the end, will your company spark the AI energy revolution, or be caught flat-footed by it?

By asking the hard questions now and taking decisive action, you can ensure that AI becomes a driver of efficiency and positive change — a win-win for your business and the planet, rather than a zero-sum trade-off. The green energy revolution and the AI revolution can be two sides of the same coin, but it will take foresight and leadership to make that vision a reality.

Will your company shape the AI-energy future — or be shaped by it? The decisions made today will determine the answer. The opportunity is to lead boldly, invest wisely, and create an AI-powered future that is sustainable, secure, and full of possibility for generations to come.

Thanks for reading!

What do you think?

This is part three of a three-part series exploring AI’s energy impact. Read part one here and part two here.

This article was originally published here and co-authored by Xavier Greco, Founder and CEO of ENSSO.

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Editor’s note: e27 aims to foster thought leadership by publishing views from the community. Share your opinion by submitting an article, video, podcast, or infographic.

Join us on Instagram, Facebook, X, and LinkedIn to stay connected.

Image courtesy: DALL-E

The post The AI-energy paradox: Will AI spark a green energy revolution or deepen the global energy crisis? — Part 3 appeared first on e27.

As trade tensions between global superpowers continue to simmer, their ripple effects are being felt across industries and borders — though not always in predictable ways.

In Southeast Asia, startup founders and industry leaders are navigating this shifting landscape with a mix of caution, adaptability, and opportunism. From budget hospitality to fintech, AI-powered supply chains to legal and consulting services, many startups see the ongoing tariff and trade wars not just as a threat, but also as a catalyst for innovation and regional resilience.

Several businesses, particularly those without direct ties to US supply chains, remain largely insulated from immediate disruption. Yet, broader macroeconomic effects — like weakened consumer purchasing power, rising operational costs, and tighter access to capital — are prompting businesses to rethink strategy.

Also Read: Venture capital in a fragmented world: How trade wars are redrawing SEA’s startup map

We spoke with several startup founders and experts in the region to learn how the trade wars will impact their businesses and industries.

Below are what they said to us:

Amit Saberwal, founder and CEO of RedDoorz, a budget hotel network

Reddoorz is a domestic business operating in the hospitality industry and is more resilient to global shocks like tariffs. With no direct linkage to the US supply chain, we don’t see any immediate impact on our business.

If anything, we anticipate customers with reduced incomes will seek more affordable accommodation. This will help our business, as we have strong product offerings in this space.

Having said that, the industries impacted by the trade wars might lay off the workforce which will eventually reduce the purchasing power of the Indonesians.

These trade shocks might also trigger Private Equity players to take a back seat and give strategic buyers the advantage. This will again create an opportunity to accelerate our M&A activities with the support of our existing investors.

Kevin Lee, CEO (Indonesia and Malaysia) at GHL Systems/NTT Data Payment Services

For fintech firms, especially in the B2B payment space, there is still a good chance to promote their products to the US as payment is not a commodity at the moment and is still very much a tech product-driven business. When comes to payments, everyone is looking towards Southeast Asia to expand their businesses.

Izwan Zakaria, founder and Managing Partner of Izwan & Partners, a tech- and startup-focused law firm

Amid fluid tariff conflicts between the US and China, Southeast Asia is emerging as a strategic neutral zone, leveraging its balanced ties with both of these large economies. In the semiconductor sector, the region has been serving the industry as a supply chain diversification strategy in the downstream processes like assembly, testing, and packaging, attracting increased foreign investments into countries like Malaysia, Singapore, and Vietnam.

For the fintech industry, global startups use Singapore as a domicile entity, leveraging its robust ecosystem and regulatory framework, and expanding into the broader Southeast Asian region. Additionally, regional trade agreements like the Regional Comprehensive Economic Partnership (RCEP) foster a more business-friendly environment and enhance market access.

Complementing this, the Association of Southeast Asian Nations (ASEAN) via the ASEAN Financial Innovation Network (AFIN) promotes cross-border policy harmonisation, making the region an ideal launchpad for fintech startups.

Charles Wong, co-founder of Cinnex, an AI-powered supply chain automation company

The escalating US tariff war will fundamentally reshape global supply chains. We’ll likely see a shift from US-centric trade to stronger regional alliances across Asia-Pacific and EU markets, with manufacturing hubs diversifying globally to mitigate tariff risks.

Also Read: US-China trade war escalates: Markets and Bitcoin plummet

This challenging environment creates significant demand for AI-powered solutions. SMEs now face critical pressure to optimise procurement processes and supplier relationships where every cost savings matter. Our technology enables seamless buyer-supplier integration, dramatically accelerating quotation responses and allowing businesses to rapidly identify optimal suppliers while maintaining competitive pricing despite market disruptions.

Cameron Priest, CEO at Pahoia, which builds, acquires, and operates businesses

It’s too early [to draw any conclusion on the impacts of the trade war on the region]. I’m talking to many of our e-commerce clients at AMP (which acquires and builds world-class tools for e-commerce entrepreneurs). There are a lot of shocks, uncertainty, and big issues with cash positions. I’m feeling frustrated since they’d be already working on moving to Thailand, Vietnam, etc., but there’s a lot of lack of clarity.

Right now, short-term supply chain financing is a big issue for many businesses as they scramble to pay tariffs. In another business, we’ve been sourcing APIs from China and are now trying to expand to Germany and India efficiently.

Rajib Saha, co-founder and CEO of Indepay, an instant payment service provider

The recent shift in tariffs emerges as a positive dimension for homegrown deeptech startups such as Indepay. As increased costs force reduced dependency on global technology, businesses will need to rely on at-par local solutions.

Indepay was created in Indonesia, for Indonesia. Our deep tech capabilities allow us the agility to customise and build scalable solutions to meet these gaps.

The EU has already hinted at parting ways with US-based payment solutions and building local alternatives instead. This trend is likely to be seen across countries and companies alike.

Agile startups can leapfrog into large businesses through the right R&D, talent, and opportunity fulfilment. A focused approach, with government support, also boosts local skill development and retains the region’s best minds.

US companies such as Apple, Amazon, and the Silicon Valley giants are testaments to the fact that products that solve market needs attract better talent and industry partnerships.

Javier Ruiz Jimenez, founder and CEO of Awarala, a Malaysian boutique consulting firm

The real impact of the trade wars will be on entire industries moving back to their home countries, now that automation reduces the importance of labour costs (e.g., semiconductor testing and packaging).

If I had to choose an industry that can thrive almost anywhere, I’d pick software. It has no major barriers, it is super low cost, almost no hard dependencies that can be taken away, and can also give rise to adjacent industries, like specialized hardware.

Also Read: Trump tariffs shake markets: Why gold soars as Bitcoin stumbles in 2025

Successful software companies can become powerful and valuable in negotiations—just look at TikTok. They can choose to host their servers with hyperscalers owned by different countries. Many hyperscalers have heavily invested in cloud data centres in Malaysia and rely on these software firms for returns, so they may pressure their governments to ease regulations.

The post Turbulence and tenacity: How SEA’s startups are turning trade wars into opportunity appeared first on e27.

In an AI-powered world, one principle remains unchanged: Execution matters more than the business model itself.

While technical expertise and innovative ideas are valuable, they alone do not secure investment. Investors prioritise founders who can execute—who can take an idea, bring it to market, scale effectively, and navigate inevitable challenges with resilience and strategy.

This is why execution-driven teams often succeed even when their business models aren’t fully refined.

A strong team with a less-than-perfect model can still create significant investment value.

On the other hand, even the most well-crafted business model will fail if the team lacks the ability to execute.

At its core, startup success isn’t about having the “perfect” plan—it’s about having the agility to execute, adapt, and scale in a constantly evolving market. In an era where AI is revolutionising industries at an unprecedented pace, the ability to implement and iterate will separate the true innovators from those who simply follow the trend.

AI is reshaping the startup landscape

AI is no longer a distant future—it is actively transforming the way startups operate. What once required a large team of executives—CTO, CBO, COO—can now be managed by a lean founding team leveraging AI-driven automation.

Today, startups can scale from prototype (MVP) to revenue-generating businesses with fewer resources than ever before. AI-powered tools are enabling:

CTOs to handle a larger scope of coding tasks with fewer engineers.

CEOs to manage marketing, pitch decks, product design, and proof-of-concept (PoC) validation independently.

This shift allows startups to operate in a leaner, more agile, and cost-efficient manner.

Beyond startups, businesses across industries are embracing AI-driven automation to streamline operations and reduce workforce dependency. In the U.S. and Europe, companies are rapidly moving away from manual workflows toward AI-powered efficiency strategies.

AI isn’t just an enhancement—it’s a fundamental transformation that is redefining how businesses scale, innovate, and compete.

Winning in the AI-driven market: Strategy over hype

As AI continues to reshape industries, startups that go beyond simply adding AI features to existing products are the ones capturing long-term value. Rather than treating AI as an enhancement, the most forward-thinking startups are redesigning their businesses with AI at the core.

This shift requires a fundamental rethinking of problem-solving strategies. Instead of asking, “How can we integrate AI into what we already do?”, successful startups are reframing the question:

“How can AI completely transform the way we operate and create value?”

Also Read: Meet the trailblazers: 7 female founders from SEA selected for EY’s Entrepreneurial Winning Women 2025

Even within the same industry, companies are leveraging AI to drive deep innovation and differentiation, rather than just small, incremental improvements. The key is to move beyond surface-level AI adoption and use it as a catalyst for reimagining business models, automating decision-making, and unlocking new market opportunities.

Ultimately, success in the AI-driven market isn’t about merely adopting AI—it’s about strategically redefining how AI can drive real impact and industry-wide transformation.

What investors are looking for

Investors have become increasingly discerning about AI startups and how they leverage the technology. Today, they distinguish between:

AI-native startups → Companies that build their business model around AI from the start, using it as a fundamental component of their strategy and product.

AI-enhanced businesses → Companies that add AI to existing products but haven’t fundamentally changed their approach. These businesses often struggle to prove AI’s core value to their model.

Investors are no longer simply looking for startups that use AI—they are asking how AI creates real, scalable value.

For startups seeking funding, the focus should not be on just incorporating AI but on leveraging AI to drive fundamental innovation and competitive advantage.

The pitfalls of AI integration

Many startups attempt to retrofit AI into existing products in an effort to make their business seem more cutting-edge. However, without a strategic approach, this can backfire.

Superficial AI adoption – Some industries have little natural synergy with AI, yet companies within them are adding AI features simply to position themselves as “AI startups.” Investors, however, quickly see through these shallow attempts.

Forcing AI into the business model – Startups eager to follow AI trends sometimes integrate AI in ways that don’t enhance their core offering, leading to unnecessary complexity without meaningful value.

For AI to be a true differentiator, it must enhance both the business model and the product itself.
Simply adding AI for the sake of rebranding rarely translates into long-term success.

The fear of AI: Resistance or reluctance?

History has shown that people often resist change, especially when it threatens familiar ways of working. In 19th-century Britain, the Luddites famously opposed industrialisation, going so far as to destroy machinery they believed would replace their jobs.

Fast forward to today, and we see a similar unease surrounding AI. Many fear that AI will disrupt industries, eliminate jobs, and render certain skills obsolete. However, much of this fear doesn’t stem from an actual inability to adapt, but rather from a reluctance to engage with and learn about new technology.

Innovation has always driven progress, and AI is no exception. Throughout history, technological advancements have eliminated some jobs but created entirely new industries in their place. The real challenge is not AI itself, but how individuals and businesses choose to respond to its rapid evolution.

A willingness to learn and adapt is more crucial than ever.
Those who embrace innovation often gain a competitive edge, while those who resist risk being left behind.

Also Read: Philippine VC Kaya Founders backs AI, fintech, and B2B innovators in 2025

Human-machine communication: A critical skill in the AI era

As AI rapidly advances, the way humans interact with machines is evolving. Modern AI, powered by natural language processing (NLP), no longer requires complex coding skills to operate. Instead, users can communicate with AI using everyday language, making human-machine interaction more intuitive than ever.

This shift is not just about convenience—it’s about accessibility and efficiency. AI systems are becoming faster, smarter, and easier to use, and this trend will only accelerate. Those who can effectively interact with AI will gain a competitive advantage, while those who struggle to adapt may find themselves at a disadvantage.

The misconception that AI is too technical or difficult to use is becoming obsolete. While a deep understanding of AI models like Large Language Models (LLMs) is valuable, the reality is that AI tools are being designed for broader accessibility—even for those without technical expertise.

Rather than viewing AI as a complex system, individuals and businesses should actively engage with it in practical ways.
Even basic familiarity with AI can provide a significant competitive edge in an increasingly AI-driven world.

In an era where AI is no longer optional but essential, the ability to communicate effectively with machines is becoming just as important as traditional digital literacy. Those who embrace AI as a tool for problem-solving and productivity will be at the forefront of the next wave of innovation.

Special thanks to Genya Smagin, Senior Manager, AI Strategy & Partnerships at SK Telecom for his valuable contributions to this article.

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The significance of niche marketing on social media is even greater these days. Companies need to change with the times in order to effectively reach their audience. From AI user personalisation to short videos, those who adapt to the new changes put themselves ahead of the competition.

This article outlines the most crucial social media niche marketing trends and how ignoring them can hinder your business growth.

AI-Driven user personalisation

Artificial intelligence uses one’s activities, likes, and engagements to curate content specific to one’s needs. With this strategy, the chances that the content being sent will be of a higher level of usefulness is ensured. For instance, AI can predict one’s course of action, which will aid businesses in their expectations accordingly.

For instance, Netflix suggests what new shows or movies their viewers should watch next based on what they searched for previously. They also track the podcasts used by users, similar to Spotify. They track what users listen to most and suggest new songs of that genre to them.

Micro-influencer partnerships

Micro-influencers are emerging as effective marketers of relatable content. Because these influencers relate to their audience much more than macro-influencers do, they tend to have high engagement rates. For instance, micro-influencers on Instagram have an engagement rate of 1.06 per cent, which is significantly higher than that of macro-influencers.

With Micro-Influencer Partnerships, marketers can tap into the loyal and more targeted niche that micro-influencers have, which is helpful in building brand awareness. This strategy enhances brand engagement and increases the interaction level. Incredibly, 64 per cent of marketers worked with micro-influencers and 47 per cent of those reported achieving success with the participants.

Short-form video dominance

In the realm of short-form video content, TikTok sits comfortably at the top with a 40 per cent market share, followed closely by Instagram Reels and YouTube Shorts which hold approximately 20 per cent market shares each. This increase in share indicates a clear shift towards content that can be consumed in seconds.

Also Read: The hidden price of connection: Privacy in the age of social media

Best practices for creating engaging video content

Here are some suggestions to help capture the audience’s attention in this new world of advanced competition

• Keep it short: Cut your videos to under 90 seconds and enjoy a boost in viewer retention and attention span by 50 per cent
• Start with a hook: Hook viewers’ interest from the first 3 seconds of the video to keep viewers engaged
• Trend participation: Partake in popular challenges and sounds to create viral content and gain more attention
• Create value: Entertaining, informative or inspirational approaches are valuable to your audience
• Use text elements: Improves accessibility by adding captions and overlays

Applying all these strategies allows you to develop amazing short videos that easily capture attention and revitalise interactions. Be it researching the most profitable YouTube niches or expanding the scope of your brand, integrating short-form video content within your marketing strategies is one approach you will not want to disregard.

Private communities and exclusive content

There is a significant rise in private communities on Facebook Groups and Discord. According to Facebook, over 1.8 billion users are active in groups every month, out of which more than 20 million of them are active communities. Similarly, Discord’s usage rose to 150 million users globally every month.

Participation in these groups gives you custom content and creates a sense of community. Companies understand this and offer early product access and discounts to loyal members of the community, thus strengthening their allegiance to the brand. Further, personal touches such as exclusive offers and customised suggestions demonstrate concern for, and influence, the customer’s relationship with the brand.

Social commerce evolution

The rise of social commerce is continuously reshaping online shopping, capturing people’s attention and making buying easier than ever. Today, users can purchase without leaving the app via TikTok and Pinterest, which are leading in social commerce.

Brands can also market their products via videos and through live streams using the TikTok Shop feature. In addition, users are targeted with recommended products they might like through AI algorithms. Similarly, Pinterest’s Shoppable Pins allows pinners to purchase Pins directly without needing to visit the seller’s website.

How to make your shopping experience more effective

To maximise their returns, brands need to focus on social commerce by:

• Engaging short videos: When products are featured in videos on TikTok, sales tend to rise.
• Shoppable: Buying on the spur becomes easy with Pinterest Rich Pins.
• User-generated content: Product reviews and demo videos increase trust in a brand among the audience.
• AI personalisation: Advertisements in social media are dictated by the user’s personal data.

With the continual rise in social commerce comes the need to adapt to the rapid shift for better sales. There is a paradigm shift occurring in e-commerce, and with it, the experience of purchasing goods is becoming more seamless.

User-generated content (UGC) for authenticity

It is apparent that a consumer product post will get your attention more than a brand post. This is why brands resort to user-generated content to appear more authentic. As per a survey, 85 per cent of UGC is attended to more than brand content (Nielsen). It’s simple: people trust other people more than advertisements.

Also Read: Rising trend in Vietnam: Young professionals embracing social media content creation

Brands have taken a step further by UGC because it is more fun and cost-effective compared to advertising, and has a higher probability of acceptance. For instance, Starbucks invited users to upload pictures of themselves with Starbucks holiday cups and featured the hashtag #RedCupContest to increase engagement and sales with this contest. GoPro has a similar strategy, but instead of cups, their customers use the GoPro camera to document their holiday adventures.

There is no doubt that by doing this, these brands are creating real communities around their products. The next time you upload a picture of using a product that you love, remember, you are not an ordinary consumer but a free marketer for the company.

Voice and conversational marketing

At the core of this is the combination of voice searching and AI chatbots. People use assistants such as Alexa and Siri, which leads them to search in a more natural way with full complete sentences rather than just typing in keywords. AI chatbots create their very own personalised responses, so interactions with users are instant and smooth. Together, they offer a more human experience.

Notably, conversational engagement is focused upon as a key area of optimisation for this specific target. Using NLP improves intent detection and makes responses more personal. For instance, customer service chatbots no longer use cold, scripted responses but instead interact in a more personable and relatable way. Optimisation of content has also been done to suit voice search by providing direct answers and employing long-tail keywords that people use.

What does this achieve? Bigger and faster outcomes with great value that keep customers coming back. The interactions are done without effort, be it through a voice search or a chatbot. The goal of conversational marketing is seamless integration into the user’s context.

Conclusion

Active engagement with social media target audience is only possible if all marketing trends are followed. AI-driven personalisation, partnering with micro-influencers, social commerce, and short videos are changing the brand audience relationship. Voice marketing, proprietary communities, and UGC further enhance authenticity and engagement.

These trends show how businesses can better relate to their audience, improve their market presence, and gain a positive impact in the niche. Staying relevant means that these approaches need to be implemented immediately.

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Securing funding is one of the biggest challenges for startups and SMEs. Whether it’s working capital for day-to-day operations, investment funding for scaling, or grants to support innovation, the financial ecosystem can often be complex and time-consuming to navigate. Entrepreneurs need the right guidance, tools, and connections to secure the resources they need to grow.

In today’s business environment, access to capital can make or break a company’s success. Many startups struggle with cash flow and investment readiness, which can slow down their growth potential. Studies show that a lack of financial resources is among the top reasons startups fail. This underscores the importance of having a streamlined approach to securing funds, grants, and investment capital.

Onzla: Leading the way in financial advisory for entrepreneurs 

Onzla was founded with the mission of empowering startups and SMEs to achieve financial success through tailored advisory, creative financial solutions, and exceptional customer support. By simplifying access to business financing, they help founders and business leaders focus on innovation and expansion instead of financial roadblocks.

“Entrepreneurs should be focused on building great businesses—not worrying about how to secure funding. At Onzla, we streamline the process so they can access capital faster and more efficiently,” said Jamie Tan, Co-Founder of Onzla.

What sets Onzla apart is their holistic approach to financial advisory. They work closely with founders, co-founders, CEOs, CFOs, and directors to understand their business goals and match them with the right funding sources. Their network includes venture capitalists, angel investors, private lenders, government grant providers, and financial consultants. This ensures that every entrepreneur has access to the best financial solutions for their needs.

Meet Onzla at Echelon Singapore 2025

Onzla is among the many dynamic industry leaders joining Echelon Singapore 2025, hosted by e27. Alongside Onzla, other key leaders, visionary entrepreneurs, and innovative startups from across the region will converge for an action-packed two-day event at Suntec Singapore on 10-11 June 2025.

Attendees will have the opportunity to engage with Onzla’s team, who will provide financial insights, explore partnerships, and discuss strategies for startups and SMEs to secure funding more effectively. One of the highlights of Onzla’s participation will be its keynote session. They will share expert strategies on obtaining funds from various sources. 

Whether you’re looking to expand your expertise, connect with influential figures in the tech startup world, or present your groundbreaking ideas, Echelon 2025 presents an unmatched experience sure to give you and your company a boost. Secure your spot now and join us as a participant or an official partner. Together, we can shape the future and create a lasting impact.

At Echelon 2025, the future is now—connect, innovate, and grow with us!

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This article is produced by the e27 team

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The global financial markets are navigating a storm of uncertainty, and as an observer with a front-row seat to this unfolding drama, I find myself both fascinated and apprehensive about the forces at play. The past week has been a rollercoaster, with stocks and bonds caught in a relentless selloff driven by escalating trade tensions that have markets on edge.

The White House’s decision to slap a staggering 145 per cent tariff on Chinese imports has sent shockwaves through global economies, and even the brief reprieve offered by President Trump’s 90-day tariff pause hasn’t been enough to restore confidence. Investors are rattled, and for a good reason—the spectre of a US recession looms large, and the ripple effects could reshape the global economic landscape.

As I unpack the market’s reaction, I see a complex interplay of fear, opportunism, and cautious hope, with assets like gold and Bitcoin reflecting the broader search for stability in a world that feels increasingly unmoored.

Let’s begin with the equity markets, where the mood is unmistakably grim. The MSCI US index plummeted 3.5 per cent on Friday, a sharp decline that underscores the market’s growing unease. Defensive sectors like Consumer Staples and Utilities managed to hold their ground, with the former eking out a modest 0.2 per cent gain and the latter slipping just 0.6 per cent.

These sectors, often seen as safe harbours during turbulent times, are benefiting from investors’ flight to quality. But the broader picture is one of retreat—Asian equities, led by Japan, were down in early trading, and US equity futures signalled another weak open, with a projected 0.5 per cent drop.

The MSCI gauge of Asian stocks is on track for its third consecutive week of losses, a streak that reflects the region’s vulnerability to trade disruptions. China and Hong Kong, which briefly rallied on hopes of fresh stimulus from Beijing, gave back those gains on Friday as reality set in: tariffs of this magnitude could choke off growth, and no amount of stimulus may fully offset the damage.

The bond market, meanwhile, is telling its own story of unease. The US Treasury yield curve has steepened, a sign that investors are bracing for a mix of inflationary pressures and economic slowdown. The 10-year Treasury yield climbed 9.3 basis points to 4.42 per cent, reflecting concerns that tariffs could drive up costs and fuel inflation.

At the same time, the 2-year yield dipped 4.6 basis points to 3.86 per cent, suggesting that markets are pricing in slower growth and potential rate cuts down the line. This steepening curve is a classic signal of uncertainty—investors are torn between the immediate inflationary impact of tariffs and the longer-term risk of a recession.

The bond market’s volatility has been exacerbated by a selloff that some analysts liken to the “dash for cash” seen during the early days of the COVID-19 crisis. Hedge funds, caught off guard by the rapid rise in yields, have been forced to unwind leveraged positions, adding to the market’s fragility.

Also Read: Trump tariffs shake markets: Why gold soars as Bitcoin stumbles in 2025

The US dollar, typically a safe haven in times of crisis, is under pressure, with the dollar index sliding 2.0 per cent. This decline reflects growing concerns about US economic growth, as tariffs threaten to disrupt trade and erode confidence in American assets. Meanwhile, the euro and yen are gaining ground, a sign that investors are seeking non-US alternatives.

The yen, in particular, benefits from its status as a safe-haven currency, while the euro’s strength may reflect Europe’s efforts to present a united front against US trade policies. But let’s not kid ourselves—Europe isn’t immune to the fallout. A 20 per cent US tariff on European goods could hammer exporters, and the STOXX 600’s recent slide suggests that investors are already pricing in pain.

Gold, unsurprisingly, is shining bright amid the chaos. Up 3.0 per cent and pushing toward US$3,250 an ounce, the precious metal is basking in its role as the ultimate safe haven. Investors are piling in, driven by fears of economic instability and the inflationary pressures that tariffs could unleash. Gold’s upward momentum feels relentless, and I can’t help but see it as a barometer of the market’s deepest anxieties.

When even US Treasuries—long considered the bedrock of safety—are being dumped in favour of cash and gold, you know the ground is shifting. Brent crude, on the other hand, is struggling, down 3.3 per cent and hovering just above US$62 per barrel. The combination of tariff-induced demand fears and OPEC+’s decision to ramp up output is keeping oil prices in check, a rare bit of relief for consumers but a headache for energy producers.

Then there’s Bitcoin, which occupies a curious niche in this turbulent landscape. At US$79,474, it’s down 3.5 per cent over the past day and 2.24 per cent over the last month, according to CoinMarketCap. April has been a wild ride for the cryptocurrency, with Trump’s tariff announcements triggering sharp swings.

The initial panic on April 2 sent Bitcoin reeling, as investors fled risk assets. But the pause in tariffs has sparked a tentative recovery, with signs of a corrective bullish wave emerging. The Relative Strength Index is showing early positive divergence, hinting that the selling pressure may be easing. Still, Bitcoin faces a tough road ahead. If it can’t break through the US$84,000 resistance level, it risks stalling out.

But if bullish momentum builds, we could see it test US$96,000. What strikes me about Bitcoin is its dual nature—it’s both a speculative asset and a potential hedge against fiat currency debasement. In a world where tariffs are stoking inflation fears, Bitcoin’s narrative as “digital gold” gains traction, even if its volatility keeps it from being a true safe haven.

Also Read: Gold jumps 3.3 per cent, Nasdaq soars 12.1 per cent, Bitcoin increases 7 per cent: Inside Trump’s tariff rollback effects

As I reflect on these developments, I’m struck by the broader implications of this trade war. Tariffs of this scale—145 per cent on China, 20 per cent on Europe, and a baseline 10 per cent on nearly all US imports—are a gamble with high stakes. The White House argues they’re a tool to protect American industries and level the playing field, but the immediate fallout suggests otherwise. Supply chains are buckling, consumer prices are poised to rise, and corporate earnings are under threat.

The market’s reaction—plunging stocks, surging gold, and a weakening dollar—tells me that investors see more pain ahead than promise. China’s retaliatory tariffs, now at 84 per cent on US goods, signal that this isn’t a one-sided fight. Beijing’s hints at further stimulus may cushion the blow, but they’re unlikely to fully offset the drag of restricted trade.

What worries me most is the potential for a self-fulfilling prophecy. Markets are pricing in a US recession, with some estimates putting the odds as high as 60 per cent. If businesses pull back on investment and consumers tighten their belts, that fear could become reality. The Federal Reserve, already grappling with sticky inflation, faces an impossible choice: cut rates to stimulate growth and risk fuelling inflation, or hold firm and watch the economy sputter.

The bond market’s volatility suggests that investors are losing faith in the Fed’s ability to thread the needle. And while Trump’s tariff pause offers a glimmer of hope, it’s a temporary reprieve at best. Negotiations with over 75 countries are underway, but the threat of renewed levies looms large, especially for China.

On the flip side, there’s an argument to be made that markets are overreacting. The US economy has shown resilience before, and corporate America is adept at adapting to new realities. If tariffs force companies to reshore production, it could spark a manufacturing renaissance, creating jobs and strengthening domestic supply chains.

The pause in tariffs has already triggered massive relief rallies, with the S&P 500 posting its biggest one-day gain since 2008 earlier this week. And let’s not forget that volatility creates opportunities—savvy investors are snapping up beaten-down stocks and positioning for a rebound. Bitcoin, too, could benefit if inflation fears drive demand for alternative assets.

Still, I can’t shake the sense that we’re at a tipping point. The global economy is interconnected, and policies that disrupt trade flows don’t just hurt one nation—they reverberate worldwide. Emerging markets like Vietnam, already reeling from currency devaluations, face a precarious future. Europe’s export-driven economies are bracing for impact, and even Japan, with its safe-haven yen, isn’t immune to the slowdown.

As I look at the data—plunging stock indices, soaring gold, and a bond market in disarray—I see a world grappling with uncertainty. My view is cautiously pessimistic: while markets may find moments of relief, the underlying tensions won’t resolve quickly. Investors should buckle up for a bumpy ride, with safe havens like gold and selective defensives offering the best shelter in this storm.

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Editor’s note: e27 aims to foster thought leadership by publishing views from the community. Share your opinion by submitting an article, video, podcast, or infographic.

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Dear reader,

Southeast Asia’s fintech sector is navigating a sobering moment. A staggering 66% year-on-year funding decline in Q1 2025 underscores growing investor caution, shaped by global headwinds and regional market saturation. Yet, beneath the surface of shrinking capital inflows, a more nuanced story emerges—one of resilience and recalibration.

Singapore’s dominance remains undisputed, drawing nearly three-quarters of all funding and reaffirming its role as the region’s fintech nucleus. The rise of Sygnum as 2025’s only fintech unicorn globally is a bright spot, highlighting investor appetite for innovation in digital asset banking even amid a downturn. Sector-wise, cryptocurrencies held their lead, while investment tech showed quarter-on-quarter recovery, hinting at selective investor confidence in long-term plays.

The sharp fall in late-stage funding and seed capital paints a concerning picture for pipeline growth and exits, especially with IPO activity stalled for over a year. However, the uptick in early-stage funding and strategic acquisitions signals continued belief in Southeast Asia’s fintech potential—albeit more cautious and targeted.

In a fragmented, increasingly protectionist world, SEA’s fintech ecosystem is recalibrating toward quality over quantity. Those building region-specific, scalable solutions stand the best chance of weathering this funding winter and thriving in the cycles to come.

Sainul,
Editor.

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REGIONAL NEWS

SEA fintech faces funding slump in Q1 2025, Singapore and crypto buck the trend
Singapore continues to be the epicentre of fintech funding, attracting a substantial 74 per cent of the total investment in Q1 2025.

Monk’s Hill leads US$28.8M round in Cinch to power device-as-a-service expansion
Cinch offers a subscription model that provides flexible, affordable, and sustainable access to various devices, such as smartphones, laptops, and tablets.

Hoopi raises funding to expand collectibles platform across Southeast Asia
Creative Gorilla Capital is the lead investor | Hoopi provides a consumer-to-consumer marketplace, an auction-based card trading system, local card grading services, and gamified experiences for rare, high-value collectibles.

Singapore anchors inaugural ClimAccelerator for agritech startups in APAC
Powered by Better Earth Ventures, ClimAccelerator aims to support startups in innovating, catalysing, and scaling their climate solutions.

Kopi Kenangan opens its first store in India
India is now the fifth Asian market for Kopi Kenangan, which already has locations in Indonesia, Malaysia, Singapore, and the Philippines | The company plans to open over 10 outlets in India by the end of 2025 while aiming for a long-term goal of 50 stores.

FEATURES & INTERVIEWS

VC in a fragmented world: How trade wars are redrawing SEA’s startup map
Venture capitalists are recalibrating strategies amid global trade wars, prioritising regionalisation, resilience, and geopolitical awareness in investments.

Turbulence and tenacity: How SEA’s startups are turning trade wars into opportunity
Startups are navigating trade wars with resilience, viewing disruptions as catalysts for innovation, growth, and strategic adaptation.

Can Singapore stay on top of the Web3 world? All signs say yes
Singapore cements its status as Asia’s on-chain leader, balancing strict regulation with innovation, ecosystem growth, and real-world crypto adoption.

A thriving Web3 ecosystem is defined by ability to deliver long-term value: Forest Bai of Foresight Ventures
According to the Foresight Ventures Co-Founder, VCs play a critical role in the Web3 ecosystem by providing more than just capital.

INTERNATIONAL NEWS

ShopUp and Sary merge to form SILQ, raise US$110M funding
The investors include Sanabil Investments and Peter Thiel’s Valar Ventures | The newly formed group will establish SILQ Financial, a dedicated financing arm focused on driving innovation in SME financing

US stocks sink as tariffs on China rise to 145%
The markets were giving back large portions of the gains they had made in Wednesday’s historic rally when Trump backed down on his most punishing tariffs on nations he called the “worst offenders” by postponing them for 90 days.

US-China trade war escalates: Markets and Bitcoin plummet
The US-China trade war escalates as markets, currencies, and Bitcoin react to looming tariff hikes and global tension.

Indian AI startup unveils tool to run AI without costly chips
Developed with the Indian Institute of Technology Madras, Kompact AI by Ziroh Labs works on standard CPUs found in regular devices, reducing the need for expensive and scarce GPUs | It has been tested by Intel and AMD.

India investigates quick commerce on market fairness grounds
A complaint filed by the All India Consumer Products Distributors Federation (AICPDF) accuses quick commerce platforms, including Blinkit, Zepto, and Swiggy Instamart, of monopolistic behaviour and selling below cost.

Gold jumps 3.3 per cent, Nasdaq soars 12.1 per cent, Bitcoin increases 7 per cent: Inside Trump’s tariff rollback effects
Markets surge after Trump announces 90-day global tariff pause, but hikes China tariffs to 125 per cent, stoking trade tensions.

Trump tariffs shake markets: Why gold soars as Bitcoin stumbles in 2025
Market wrap shows shifting risk sentiment, trade tensions, and diverging gold-bitcoin trends amid Trump’s tariffs.

Apple’s iPhone cost could rise 90% if it is made in US, BofA says
“iPhone cost can increase 25 per cent purely on higher labour cost in the US,” BofA analysts led by Wamsi Mohan wrote in a note to clients on Wednesday.

Apple shifts 1.5M India-made iPhones to US
This move is part of Apple’s strategy to increase production in India and reduce the impact of high tariffs on imports from China | The flights began in March as Apple responds to US tariffs on Chinese goods, which have reached 125%.

SEMICONDUCTOR

Việt Nam, Singapore seek cooperation chances in semiconductor industry
Vietnam has set a target of becoming a global hub for semiconductor talent and establishing fundamental capabilities in research, design, manufacturing, packaging, and testing by 2030.

India’s semiconductor push with US$8.8B
The government provides 51 per cent fiscal support for projects related to chip fabrication, display fabs, compound semiconductors, and semiconductor assembly (ATMP/OSAT). Product Design Linked Incentives further support chip design.

ARTIFICIAL INTELLIGENCE

AI agents are the new workforce: How to implement them successfully
AI Agents are transforming businesses by automating tasks and enhancing efficiency — learn how to integrate them strategically.

The evolution of healthcare delivery: AI as a partner in collaborative care
AI can refine health information, reduce misinformation, and enhance doctor-patient trust — reshaping healthcare for better outcomes.

Will AI spark a green energy revolution or deepen the global energy crisis? — Part 2
AI’s energy demands are rising, but smart solutions in cooling, grids, and renewables can help balance efficiency and sustainability.

THOUGHT LEADERSHIP

Africa’s green dilemma: Financing the future without selling the soil
Africa’s shift from aid to economic self-assertion unfolds with youth-led markets and green tech, shaping its green growth and sovereignty.

Trust me, PR is with you day and night!
Expertise, creativity, and emotional understanding remain three key advantages for PR professionals in this ever-changing landscape.

Why traditional marketers must embrace digital marketing: Top 3 skills to learn
To stay relevant, it’s crucial that traditional marketers continually learn and adapt to the digital marketing ecosystem.

Diversity and inclusion marketing campaigns: Everyone, everyday, forever
It not throwing in a simple image in the mix anymore but understanding the consumer’s psyche and building products that fulfil their needs.

Building brand visibility: Timeless content marketing principles for startups
Content marketing isn’t just about producing material—it’s about creating meaningful, valuable experiences that connect with people.

Why startups should prioritise brand reputation from day one
Startups need a strong communications strategy to build brand reputation, ensuring credibility with investors and long-term success.

What angel investors should know before using Y Combinator’s SAFE agreement
SAFE agreements streamline startup funding, but the risk for angels needs legal expertise to handle complexities.

Building communities and navigating the future of Web3: Insights from Anndy Lian at Hong Kong Consensus 2025
Hong Kong Consensus 2025 explored Web3’s future, with insights on community building, exchanges, and security from industry leaders.

Exit thinking: One key mindset change to gear up and scale
Having the exit in mind means that you now have a way to define what you want to achieve and to anticipate whatever strategic steps will need to be taken along the way.

From behind a women’s lens: Establishing a footing in the male-dominated VC industry
Women have different life experiences than men, which translates into unique perspectives on business and decision-making processes.

How to embrace a product mindset for digital success
Digital products require continuous iteration, adaptation, and improvement to remain competitive and meet evolving user needs.

Empowering women entrepreneurs: Breaking stereotypes, building success
By challenging stereotypes and providing tailored financial support, we can foster an inclusive environment where women entrepreneurs can flourish.

The post Ecosystem Roundup: SEA fintech funding slumps in Q1 2025 | Trade wars redrawing SEA’s startup map | Cinch raises US$28.8M appeared first on e27.

‘Edge of Tomorrow’, released in 2014, is a science fiction action film starring Tom Cruise and Emily Blunt. The movie is set in a future where Earth is under attack by an alien race known as Mimics, where William Cage (Tom Cruise) finds himself caught in a time loop, reliving the same brutal battle each day. With the help of Rita Vrataski (Emily Blunt), Cage must use his newfound ability to repeatedly relive the day to improve his combat skills, strategise, and ultimately find a way to defeat the alien invaders.

Here are several ways in which being a startup founder can be like Cage’s experience depicted in ‘Edge of Tomorrow’:

• Constantly facing new challenges: Each day brings new obstacles and problems to solve, similar to how the protagonist — William Cage, faces new battles repeatedly.
• Learning through failure: Just like Cage learns from each iteration and failure to improve, startup founders often need to learn and adapt from their mistakes.
• Persistence is key: Success often requires relentless perseverance and trying again after failures, akin to the Cage’s repeated attempts to overcome challenges.
• Facing uncertainty: Both startup founders and the protagonist navigate a landscape filled with uncertainty and unpredictability.

Also Read: What startup founders can learn from Netflix’s “The boy who harnessed the wind”

In the movie, Cage eventually loses his ability to reset the day after a critical incident. Initially, Cage gains the power to reset the day each time he dies due to being exposed to the blood of an Alpha Mimic during battle.

However, during one of the loops, Cage is critically injured and receives a blood transfusion in a hospital. This transfusion dilutes or replaces the Mimic blood in his system, stripping him of the power to reset time. From that point on, he can no longer rely on dying to restart the day.

This aspect is very similar to what we experience as startup founders. As long as we do not lose our ability to persevere, we will be able to continue the fight tomorrow, and so long as we can keep on trying, success is within our grasp. So keep on fighting, comrades.  

—

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Join our e27 Telegram group, FB community, or like the e27 Facebook page.

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This article was first published on July 1, 2024

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WeLab, a Hong Kong-headquartered fintech platform with a presence in Indonesia, has secured an investment from the HKIC, the investment arm of the Hong Kong SAR government.

This strategic partnership will enable WeLab to develop innovative AI agents that will provide more tailored financial solutions, dynamically responding to customers’ personalised needs and behaviours, as well as to expand its business across Asian markets.

The fintech firm will also foster financial innovation and enhance fintech development across the region. As part of the strategic partnership, WeLab aims to upskill 100 per cent of its staff by 2025 through training programmes focused on AI-driven financial skills.

Also Read: Lighthub Asset, WeLab partner to form new digital bank in Thailand

Furthermore, WeLab will support the HKIC’s ecosystem by assisting companies in expanding their operations in Southeast Asia. WeLab also plans to nurture the next generation by providing fintech training to secondary school and university students.

WeLab offers mobile-based consumer financing solutions, digital banking services to retail individuals, and technology solutions to enterprise customers. It claims to have over 70 million individual users and 700 enterprise customers. It operates in three markets under several key brands, including WeLend, WeLab Bank in Hong Kong, various business lines in Mainland China, and Bank Saqu in Indonesia.

Bank Saqu claims it has amassed over two million customers within its first year. The company is actively pursuing a regional growth strategy, with Thailand identified as a key target for its third digital banking license.

WeLab is backed by Allianz, China Construction Bank International, International Finance Corporation, Khazanah Nasional Berhad, TOM Group, and Sequoia Capital.

Paul Chan, the Financial Secretary of the Hong Kong SAR government, said: “This strategic partnership will assist more local and regional enterprises in leveraging AI and fintech, unlocking the potential of finance to support economic development across Asia. At the same time, it will inspire more cross-sectoral innovation and support talent development for the fintech sector.”

Also Read: WeLab acquires Bank Jasa Jakarta to launch digital bank in Indonesia

Clara Chan, CEO of the HKIC, stated, “The HKIC has been very focused on investment in three key themes relating to technology and closely monitoring the development and application of technology in finance as one of the leading industries in Hong Kong, particularly the integration of open-source AI large language models to explore new, AI-based solutions for smart finance and inclusive development in a target-oriented manner. This approach will provide practical scenarios and support for the advancement of smart finance in Asia, enrich the development of Hong Kong’s capital market and enhance Hong Kong’s strengths as an international finance centre.”

The HKIC, wholly owned by the HKSAR government, manages approximately US$7.95 billion (HK$62 billion). Its dual mandate involves seeking reasonable long-term financial returns and channelling capital to build a vibrant innovation and technology ecosystem, with a focus on hard and core technology, biotech, and new energy and green technology.

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