AI

Lately, I’ve been seeing more discussions about a possible AI bubble. From rising tech valuations and massive investments in computing infrastructure to questions about whether AI companies can eventually deliver the profits investors expect, concerns about the industry’s future seem to be growing. Some commentators have even started suggesting that 2027 could be a turning point for the current AI investment boom. Whenever I come across these discussions, I find myself wondering what people actually mean by an AI bubble. Are we overestimating the technology itself, or are investors simply too optimistic about how much money it will generate? And beyond the stock market and the technology companies attracting billions of dollars in investment, could there be another kind of bubble forming in the everyday lives of people who believe AI will help them become wealthy? ...

Two days before TOKEN2049 Singapore began, I wrote down a few questions I wanted the conference to answer. I was less interested in what Bitcoin might do after a keynote, or which project might become the next short-lived narrative, and more interested in whether stablecoins were becoming part of financial infrastructure, whether AI agents would actually need crypto, and whether traditional finance was entering crypto — or finance itself was beginning to move onchain. ...

Over the past year, I have followed several major crypto conferences, from Miami to Bitcoin Asia in Hong Kong, and now TOKEN2049 Singapore. What interests me most has gradually changed. At first, crypto conferences were easy to understand. We watched Bitcoin, regulation, exchanges, new chains, market cycles and, inevitably, price. But the conversations around these events have started to feel broader. AI keeps appearing. Stablecoins are moving deeper into payments. Traditional financial institutions are no longer simply asking whether they should participate in crypto. Increasingly, they are discussing what parts of finance might eventually move onchain. ...

Over the past few years, the crypto industry has undergone a significant transformation. In its early stages, crypto markets were largely driven by Bitcoin’s price movements and investment demand. Many users entered the market primarily because they saw digital assets as a new form of investment opportunity. However, as blockchain technology has continued to develop, the focus of the industry has gradually shifted from individual asset prices toward broader digital asset ecosystems. ...

This week, I listened to an interview with Chinese technology investor Wang Yuquan, who made a prediction designed to attract attention: the AI bubble could burst around 2029. The exact year matters less to me than the reasoning behind it. Wang is not arguing that AI has little value. He is arguing almost the opposite: AI’s long-term potential is so significant that we may be pricing years of social and economic change into the present. ...

Recently, I watched the latest lecture by Yuval Noah Harari, the author of Sapiens: A Brief History of Humankind, at the University of Oxford, titled “AI Has Hacked the Code of Human Civilization. ” In the lecture, Harari raised a thought-provoking question: as AI begins to enter areas that were once considered uniquely human, how will our role in society change? According to Harari, human civilization is essentially a network built on information and shared stories. Nations, laws, companies, currencies, and religions are all systems that exist because people collectively believe in them. For thousands of years, humans have been the creators, storytellers, and interpreters of these systems. ...

The digital economy is being redefined by AI Recently, while following discussions around the Digital Economy conference in Beijing, I had a very strong impression that although the theme is still labeled as “digital economy,” the real focus has quietly shifted toward artificial intelligence. From what I have seen across different public information, whether it is industrial direction, enterprise digital transformation, or talent development systems, AI is being mentioned more and more frequently. The term “digital economy” still exists, but it no longer feels like a simple extension of the internet era. Instead, it feels more like a broader framework that is now carrying AI, data systems, and industrial restructuring together. ...

Today is June 1st. Children’s Day. It feels like the right day to talk about things that are young. Not young like a startup. Young like a child — full of potential, not yet sure what they’ll become, occasionally embarrassing, occasionally breathtaking. The children in Miami Just a few weeks ago, 20,000+ people gathered in Miami for Consensus 2026 — founders, executives, policymakers, all there to watch crypto, AI, and traditional finance collide in real time. The theme wasn’t just blockchain anymore. AI agents are becoming participants in global markets — executing trades, managing portfolios, creating entirely new economic models. The conference had a name for it: Agentic Commerce. ...

There’s a version of productivity that feels real but isn’t. You open the laptop. You run the prompts. You get the outputs. By noon you’ve “done” more than you used to do in a week. And yet, at the end of the day, you sit back and wonder: did any of that actually matter? That’s the question I kept avoiding for months. 01 — Everything Is Faster Now AI is genuinely powerful. I’m not here to argue otherwise. ...

I didn’t start with a plan. I just decided that for one month, I would stop hesitating and actually use AI — every day, for real work. I was building an online lingerie brand called LaceMoods , writing content for a crypto publication, and trying to figure out how to make the internet work for me instead of the other way around. Here’s what $100 a month in AI tools actually got me. ...