Day: June 3, 2026

The financial markets presented a striking dichotomy as June began, with traditional equities soaring to unprecedented heights while Bitcoin stumbled under the weight of institutional exodus. This divergence tells a compelling story about where smart money flows when uncertainty meets opportunity and reveals much about the current state of investor confidence across asset classes.

Wall Street celebrated its fourth consecutive day of record closes, with all three major indices finishing higher. The S&P 500 reached 7,599.96, gaining 19.90 points or 0.26 per cent. The Nasdaq Composite proved particularly strong, climbing 114.19 points to settle at 27,086.81, representing a 0.42 per cent increase. Even the more conservative Dow Jones Industrial Average managed to eke out gains, rising 46.42 points to 51,078.88, though its 0.09 per cent advance showed more modest enthusiasm. This sustained rally reflects growing confidence in technology sector momentum and easing geopolitical tensions.

The catalyst behind this equity euphoria stems largely from developments in artificial intelligence. NVIDIA CEO Jensen Huang unveiled the RTX Spark Superchip at the Computex conference, sending shockwaves through the technology sector. NVIDIA itself surged 6.26 per cent on the announcement, while partners and beneficiaries rode the wave higher. Dell Technologies jumped 11 per cent, Oracle gained 9.9 per cent, and Micron Technology climbed 6.6 per cent to cross the psychologically important US$1,000 per share threshold. Arm Holdings skyrocketed 16 per cent on news of its partnership with Nvidia. This massive AI product release triggered widespread demand for hardware and software, drawing capital into related names with remarkable velocity.

Certain technology companies did not share in this celebration. Qualcomm dropped 8.8 per cent, and Intel lost 4.7 per cent, indicating that investors distinguish between AI leaders and laggards with increasing precision. Salesforce led traditional blue-chip performance with a 9.57 per cent gain, showing that strength extended beyond pure technology plays. The broader market advance occurred despite initial volatility in energy markets, where crude oil futures spiked 8 per cent on Middle East supply concerns. Initial reports that Iran would halt communications caused this volatile oil surge. Sentiment recovered rapidly after President Trump intervened to clarify that diplomatic peace talks with Iran continue, allowing WTI crude to settle near US$92 per barrel, trimming the initial panic spike.

Also Read: Why US$73,000 is the most important Bitcoin level right now

Macroeconomic indicators further supported this bullish equity environment. US factory activity expanded in May for a fifth consecutive month, providing fundamental support for equity valuations. Investors are keeping a close eye on upcoming labour data, starting with the JOLTS job openings report, to gauge the underlying strength of the domestic economy. In the Asia-Pacific region, share markets eased slightly from record highs as regional factors came into play. The Australian S&P/ASX 200 closed virtually flat at -0.03 per cent amid a 4.75 per cent national minimum award wage increase. This global perspective highlights the broad-based nature of the current economic expansion and demonstrates how varied local economic policies influence regional market performance.

Against this backdrop of equity market euphoria, the 3.32 per cent decline of Bitcoin to US$71,168.70 over 24 hours appears particularly stark. The cryptocurrency underperformed not just stocks but also its own recent trajectory, falling to its lowest level since mid-April. This weakness stems from sustained institutional selling pressure that has turned the narrative around digital assets decidedly negative.

The primary culprit behind Bitcoin’s struggles is persistent outflows from US spot Bitcoin ETFs, which have seen nearly US$3 billion in net redemptions over a 10-day streak. This marks the first time in 2026 that year-to-date flows have turned negative, signalling a meaningful shift in institutional appetite. The outflow streak indicates that the same institutional capital that propelled Bitcoin to new heights earlier in the year now rotates toward traditional assets offering clearer fundamental support. This persistent selling pressure removes a key source of buy-side support that had previously stabilised the digital asset during minor market corrections.

Adding symbolic weight to the selling pressure, Strategy executed its first Bitcoin sale since 2022. The firm disposed of 32 BTC for approximately US$2.5 million at an average price of US$77,135 between May 26 and May 31. The company explicitly stated that this transaction aimed to fund distributions on its preferred stock. While the transaction size proves immaterial relative to the massive crypto market, the psychological impact resonated loudly. Michael Saylor’s company had built its reputation on an unwavering accumulation strategy, making any sale a potential signal that even the most committed holders reassess their positions. The company still holds over 840,000 Bitcoin, maintaining its position as a major holder, but the policy shift damaged market sentiment disproportionately to the actual volume sold.

Also Read: ETF outflows and macro fear put Bitcoin and Ethereum under pressure

The price decline triggered a cascade of forced selling via leveraged long liquidations, exceeding US$283 million within 24 hours and representing a staggering 1,520 per cent spike. This liquidation wave amplified the downward move, transforming what might have been an orderly correction into a more violent repricing. The sudden dip triggered over US$90 million in Bitcoin-linked futures liquidations as leveraged long positions were liquidated. High leverage left the market fragile, and when prices broke below the US$72,000 support level and the 50-day moving average, the technical structure shifted to a bearish bias. The liquidation cascade acted as a downward amplifier rather than a root cause, but its impact on market psychology proved significant.

Strategy’s own stock suffered more than Bitcoin itself, sliding between 4.5 per cent and 6.5 per cent as investors recalibrated the premium on the corporate treasury model. This suggests that markets question whether holding Bitcoin on corporate balance sheets remains an unalloyed good when the asset shows weakness. The divergence between Bitcoin’s struggles and traditional markets’ strength highlights a critical reality. Institutional capital currently favours assets with clear earnings growth and fundamental value creation over speculative stores of value.

The near-term outlook for Bitcoin remains bearish as long as it stays below US$73,000. If the cryptocurrency holds above US$71,000, consolidation becomes possible, but a break below this support level risks a drop toward US$68,000. The key metric to watch involves ETF flow trends. A return to net inflows would signal returning demand and could stabilise prices, but continued outflows suggest further downside risk.

Also Read: Southeast Asia should take note: Bitcoin mining is no longer an industrial game

This market divergence reflects broader macroeconomic currents. US factory activity expanded for a fifth consecutive month in May, providing fundamental support for equity valuations. Meanwhile, Bitcoin struggles without similar fundamental anchors, relying instead on sentiment and flow dynamics that have turned negative. The contrast between the superchip-driven rally of Nvidia and the liquidation spiral of Bitcoin encapsulates the current market preference for tangible innovation over monetary speculation.

Investors face a critical choice between participating in the AI-driven equity boom or betting on a crypto recovery that shows few immediate catalysts. The data suggests smart money currently favours the former, rotating capital toward assets demonstrating clear growth trajectories while reducing exposure to more speculative positions. Until Bitcoin can reclaim the US$73,000 level with conviction and ETF flows stabilise, the path of least resistance points lower, even as traditional markets continue their march to record highs.

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Southeast Asia’s gaming ecosystem is staring at a US$14 billion projection by 2030, and the danger is not that the number is wrong. The danger is that the industry treats it as inevitable.

The Ampverse report deserves credit for surfacing the structural fault lines beneath the headline figure: cultural fragmentation across six operationally distinct markets, measurement frameworks still unfit for brand investment at scale, e-sports economics that remain commercially unproven, and localisation demands that currently favour only the largest global players. These are not temporary frictions. They are the architecture of the problem.

The most telling detail in the report is the gap between US$7.1 billion in direct gaming revenue and US$14 billion in full ecosystem value. Bridging that gap requires creator monetisation, brand advertising, and e-sports to mature simultaneously, across six countries, on an aggressive timeline. Each condition is achievable. None is guaranteed.

What the projection actually maps is not a destination but a construction brief. The infrastructure companies — measurement platforms, localisation tooling, sustainable live-event formats — are not supporting actors in this story. They are the precondition for it. Investors who understand that distinction will be better positioned than those chasing the headline number alone.

The post Ecosystem Roundup: The US$14B bet SEA gaming can’t afford to sleepwalk into appeared first on e27.

Back in 2020, BRI Ventures CEO Nicko Widjaja approved a US$5 million investment in Indonesian agritech startup TaniHub Group, following a multi-stage due diligence process that received written sign-off from BRI’s board-level director and BRI Ventures’ board of commissioners.

Fast forward to the present day, after the collapse of TaniHub, Widjaja is being prosecuted for causing state financial loss. With a verdict scheduled for June 10, the prosecutors are seeking 11 years in prison for the investor.

Ahead of his defence hearing (pledoi) at the Anti-Corruption Court in Jakarta on June 3, e27 spoke to Ditho H. F. Sitompoel, Managing Partner at Hotma Sitompoel Law Firm — the legal defence team representing Widjaja. In this interview, the lawyer shares more details about the case, including the strategy the team plans to use.

The following is an edited excerpt of the conversation.

In your recent contributed post, you mentioned this inverted framework that the prosecutors are using in this case. Can we get a better understanding of why this approach is being used in this case?

The prosecutor’s approach to indicting Nicko is based on the idea that BRI Ventures is part of a state-owned enterprise (SOE), namely BRI. As part of BRI, when something happens to BRI Ventures — like a failed investment — it can be categorised as a state loss.

However, we need to understand that, as a subsidiary of an SOE such as BRI, BRI Ventures is considered a separate company. It cannot be classified as an SOE because corporate law applies to them, not SOE law.

If something happens, such as the director making a failed investment, it does not make sense to classify it as a state loss, as the law itself treats BRI Ventures as a separate entity.

Also Read: Ecosystem Roundup: Consumers want humans in CX | TaniHub ex-CEO hit in US$25M fraud | Salesforce: 4% CFOs still cautious on AI

Why do the prosecutors see 11 years as appropriate for this case, especially given that Nicko receives zero personal benefit from the transaction?

Because, according to our law, corruption is not only about who receives the money. It is also about the transfer of the money itself. Nicko, as part of BRI Ventures, transferred the money to TaniHub Group … that is why they classified this as a wrongdoing. Because it is not only to enrich oneself according to the law, but also to enrich other persons or companies.

During the due diligence process for the Tani Hub investment, BRI’s board-level director and BRI Ventures’ board of commissioners were involved. Does the fact that this institutional oversight exists effectively negate any claim of individual criminal liability?

Exactly. All due diligence processes were already conducted in accordance with the company’s standard operating procedures. However, the prosecutors still think that, when we were doing due diligence, we were not doing so with a fiduciary duty. According to them, we did not confirm whether the information in the company’s documents is correct.

If the documents they provided are fraudulent, we can treat it as a breach of the agreement and handle it in a civil case. It cannot be treated as a criminal case unless we can prove fraud.

What is the outcome that you expect to achieve on June 10?

We want to get Nicko free of the charges against him. Our legal arguments will first address the question of unlawful conduct … As we know, under Indonesian law, following the Constitutional Court’s 2006 ruling, an unlawful act in the corruption case must constitute a violation of a concrete right.

It is not enough to say that a decision was unwise in hindsight, and there is no rule that was actually broken here. Even the investment itself was made under the Financial Services Authority’s own regulations regarding the governing of venture capitals.

The regulation is far from prohibiting investment in loss-making startups. It actively encourages venture capital firms to fund growing companies. [This is important as] the prosecutor asked why BRI Ventures invests in a loss-making company. But of course, it is because it is a startup.

Also Read: Raising new funding round, TaniHub Group claims 600+ per cent gross revenue growth in 2020

It is confirmed by the law itself and by the Financial Services Authority. Every step followed the BRI Ventures internal investments [guide], and the decision was made collectively through an investment committee with involvement from the Board of Commissioners. So, our clients never made this decision unilaterally.

Second, on the question of enrichment. Nicko did not receive a single Rupiah. No shares, no kickback, no hidden benefit at all.

BRI Ventures itself recorded the investment, even though it was a loss. They have not sold any shares; they have not exited the company. That is why it cannot be categorised as a real loss. It is still an unrealised loss.

The third is quite critical because the prosecutor has always raised the argument of state loss. As we know, the prosecutor is working with BPKP, the government’s internal audit body. However, under our constitution and law, the authority to formally determine the state’s financial loss lies with the BPK. So it is not BPKP that has the right to make an audit.

As I mentioned earlier, the constitutional court has held that the state’s loss in this case must be certain. Not a projection, not unrealised. However, what we have here is portfolio valuations, a paper figure on investment that simply underperformed.

Our financial and criminal law experts have already testified to these exact points in court, including the business judgment rule.

The company law explicitly protects a director who acts in good faith, and I think everything Nicko does is already aligned with the business judgment rule. He acted professionally; he had no conflict of interest when he sensed trouble at TaniHub.

He did not even make another investment in the company’s Series B … even though the committee had already approved it. At the last minute, he noticed something fishy in the company.

Nicko is certainly not the first person in Indonesia to be criminalised for making a business decision that does not involve illicit enrichment. So, why does this pattern keep on showing up, and do you plan to tie this case up to similar cases in your defence?

We had experience as the defence team at the Pertamina case in 2019, and the decisions have already become jurisprudence. At that time, we defended Pertamina CFO Frederick Siahaan. The CEO back then was Karen Agustiawan, who was also on trial that time.

We also presented the argument about the business judgment rule. The District Court insisted on it being a corruption case. However, when we went to the Supreme Court, they agreed with our positions in our argument. It actually became a landmark decision on the business judgment rule.

I hope that when people read about this case, they can look past the word ‘corruption’ and ask the simpler question: Did Nicko steal from the state, or did he simply make an investment that did not work out?

The evidence already points clearly to the second. We are confident enough for this case.

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Image Credit: Tingey Injury Law Firm on Unsplash

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The entire tech universe seems to be talking about OpenClaw right now. I am part of that conversation too, though perhaps from a slightly different angle. I am not talking about it because I am actively using it, but because I am acutely aware that I am not.

From AI models and chatbots to AI browsers, autonomous agents, and now the promise of 24/7 virtual assistants like OpenClaw, the pace of technological evolution feels relentless. If I am being honest, there are moments when I simply want to stop chasing. A recurring thought crosses my mind: perhaps it is wiser to wait until things stabilise, until there is a mature version ready for plug-and-play adoption rather than trying to learn while standing inside a technological tornado.

The fear of missing out still exists, of course. But over time, I have learned to pause and replace urgency with a quieter question: why?

So I did what any curious person does at 2 pm on a Thursday. I fell into a YouTube rabbit hole, searching for terms like “Claude Cowork,” “absolute beginner’s guide to Operator,” and “the only Agents 101 you need.” What struck me most was how measured the creators were in their language. No one was shouting from the rooftops, urging immediate adoption. Instead, they framed the value pragmatically: automation replaces repetitive work, and startups often need something like a tireless intern to handle operational tasks that consume time but create little strategic value.

One example stood out. A founder demonstrated an agent he built to monitor his financial dashboard daily. Rather than hiring a full-time CFO, the agent tracked expenses, organised cash-flow visibility, and alerted him when spending exceeded predefined thresholds. It was impressive, efficient, and undeniably useful.

Also Read: SEA founders are asking the wrong fundraising question

Watching that, I turned the lens back on myself. Do I actually perform repetitive work every day? Is there a part of my workflow that genuinely needs automation? If I had a reasonable budget, would I hire an intern to handle the tasks filling my hours? And if I am honest about where I want to grow, does that growth even require expanding a team?

Surprisingly, my answers were mostly no.

My work revolves around people. When I facilitate workshops or coaching sessions, I want to understand participants personally, to sense shifts in energy that cannot be captured in summaries or transcripts. When I write, the starting point is often a lived experience or an emotion that no agent can originate. When I explore partnerships, trust is built through warmth, nuance, and conversation long before efficiency becomes relevant.

This does not mean I reject technology. I already rely on tools for transcription, research, and editing support. These technologies enhance my work, but they do not replace a process that feels fundamentally human. I have yet to encounter a workflow so repetitive that I genuinely want to delegate it entirely to an autonomous agent.

One particularly popular OpenClaw demo showed a founder generating an entire website while relaxing at a beach club, presenting a vision of ultimate productivity freedom: work continues while life happens elsewhere. Yet that example left me wondering whether the goal should always be to let technology expand work into every corner of our lives.

Also Read: Hospitality needs to treat AI agents like a new channel, not a new feature

After the video ended, I found myself staring at the full moon outside my window. For a few minutes, there was no dashboard to optimise, no productivity system to refine, and no urgency demanding attention. Just quiet.

Perhaps the real risk today is not missing out on the latest tool. The greater risk is allowing every technological breakthrough to convince us that we must move faster, do more, and automate everything before we fully understand why we are doing it at all.

OpenClaw will continue evolving. Organisations will integrate agents to accelerate execution, reduce operational load, and unlock new forms of scale. That future feels inevitable. But adoption should not be driven purely by hype or fear.

Because what I hope most of us are not missing is something far less discussable than technology: the unremarkable, irreplaceable moments that never appear on any dashboard. The dinner with someone who matters. The unexpected view that catches you mid-scroll. The bowl of noodles that somehow tastes like a memory rather than a task between meetings.

The operator will still be here tomorrow. It will evolve, merge into larger systems, and find its place in workflows that truly need it. The more powerful question, however, is not can I use this? But what do I actually want more of in my life – and does this technology help me get there?

That, perhaps, is the real shift happening beneath all the noise. Technology is no longer only about capability. It is becoming a mirror, forcing us to decide not just how efficiently we work, but how intentionally we live.

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The post When everyone is talking about OpenClaw, and you’re not using it appeared first on e27.

We were told technology would save time.

For decades, every major productivity breakthrough came with the same promise: automation would reduce manual work, improve efficiency, and free people up to focus on higher-value tasks. In many ways, AI is finally delivering on that promise. Tasks that once took hours can now be completed in minutes. Research is faster. Drafting is faster. Editing is faster. Workflows are smoother than they were even two years ago.

And yet, many workers today feel more stretched than ever.

After spending the past 18 months job hunting while continuing to run lean operations across media, marketing and content, I’ve noticed a recurring pattern in the market: companies are increasingly looking for one person who can do the work of two or three.

AI did not create this expectation entirely. Startups and modern businesses have been leaning toward smaller teams and “multi-hyphenate” employees for years. But AI has accelerated it dramatically.

Because if technology now allows people to execute tasks faster, the assumption from many organisations is simple: surely one person should now be able to handle more.

The result is that AI is not simply replacing certain jobs. It is quietly redefining what employers expect from one person within the same amount of time.

The rise of the multi-function employee

In marketing alone, the shift has become obvious.

A role that once focused primarily on communications or content may now also involve video editing, analytics reporting, SEO strategy, social media management, AI prompting, newsletter creation, community management and even light design work.

In startups, especially, the logic often sounds reasonable. Teams are lean. Budgets are tight. Founders are under pressure from investors to grow efficiently. AI tools genuinely help accelerate execution. Why hire three people if one highly capable person, supported by AI, can theoretically produce the same output?

The problem is that “same output” rarely stays the same for long.

Once workflows become faster, expectations increase alongside them. More campaigns. Faster turnaround times. More platforms. More reporting. More visibility. More responsiveness. More content.

Technology improves efficiency, but instead of translating into more breathing room, those gains are often absorbed back into the system as increased productivity demands.

Also Read: SEA’s AI infrastructure sector draws US$1.2B as deal activity reaches record high

This is not unique to AI. Historically, many technological advances have followed the same pattern. Email sped up communication, but also normalised constant availability. Smartphones improved flexibility, but blurred work-life boundaries. Collaboration tools made remote work possible, but also created endless notifications and fragmented attention.

AI is simply accelerating the cycle at a much larger scale.

Faster execution does not always mean sustainable work

One of the biggest misconceptions in the current AI conversation is that productivity gains automatically create healthier ways of working.

In reality, they often create pressure to produce more within the same working hours.

A marketer who once needed three days to develop a campaign concept may now produce a first draft in a day with AI assistance. But instead of reclaiming the extra time, they are often expected to fill it with additional campaigns, faster iterations or expanded responsibilities.

The benchmark quietly shifts.

This becomes especially challenging because AI still requires human oversight in areas that matter most: judgment, context, strategy, emotional nuance and decision-making. AI can accelerate execution, but it does not eliminate the mental load of prioritising, evaluating and refining work.

In some cases, it may even increase it.

People are now expected to:

• Evaluate AI-generated outputs
• Fact-check information
• Refine tone and positioning
• Adapt content for multiple platforms
• Keep up with rapidly evolving tools
• Continuously learn new systems while maintaining existing workloads

The labour has not disappeared. Much of it has simply changed form.

The entrepreneurial escape is not necessarily easier

At the same time, more people are leaving traditional employment to pursue freelancing, consulting or entrepreneurship — either voluntarily or because the job market has become increasingly difficult to navigate.

Also Read: AI shopping companions and the talent reset in retail

There is a growing perception that owning a business offers more freedom and autonomy. In some ways, it does. AI has also made it significantly easier for small founders to launch projects, automate workflows and scale personal brands without large teams.

But entrepreneurship often comes with its own version of workload expansion.

Founders today are not only expected to build products or services. They are also expected to become content creators, community builders, marketers, operators and personal brands simultaneously. AI helps reduce friction, but it also raises the baseline expectation for how quickly a business should move.

My friend, who is an entrepreneur, has been discussing how she created a digital twin of herself to automate tasks and reclaim time. It was an impressive example of how technology can create leverage for entrepreneurs operating at scale.

But it also raised a bigger question: how accessible is that level of automation really?

Not everyone has the resources, audience, infrastructure or operational maturity to build AI-powered systems around themselves while still ensuring a healthy bank account. Many workers and small founders are still simply trying to keep up with increasingly compressed expectations while learning these tools in real time.

The real question companies should be asking

None of this means AI is inherently bad for work. On the contrary, AI is already proving incredibly useful across industries. It has lowered barriers to entry, improved operational efficiency and created opportunities that would have been impossible for many smaller businesses just a few years ago.

But there is a difference between using AI to create sustainable leverage and using it to justify permanently overstretched teams.

That distinction matters.

Because eventually, companies will need to ask themselves whether they are genuinely building healthier and more effective ways of working or simply compressing more labour into fewer people under the guise of efficiency.

The organisations that adapt best to the AI era may not necessarily be the ones extracting the maximum possible output from the leanest teams. They may be the ones who understand human capacity still matters, even in highly automated environments.

AI is undeniably changing how we work.

But perhaps the bigger shift happening quietly alongside it is this: it is redefining what organisations believe one person should reasonably be able to handle.

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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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