Most startup stories look obvious in hindsight. In reality, many of today's fastest-growing companies started with a very different product and only found their current direction after a major shift.
β’ Harvey started as an AI assistant for lawyers, then expanded into an enterprise platform for legal teams and large organizations.
The biggest startups often don't start with the right idea. They find it along the way.
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Moral of the story β do not chase hot IPOs β
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Nvidia CEO Jensen Huang (net worth about $150 billion) ignored protocol and sat on the floor at an expo to drink a beer with Gigabyte boss.
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Investor Ray Dalio says the AI bubble will burst in the next few years unless startups start making billions. Currently, AI companies spend about 8 times more than they earn. The sector needs to generate $2 trillion annually by 2030 to justify current investments.
Dalio compares the AI bubble to past tech bubbles like dotcoms, where stock prices rose on hype but lacked real profits. He acknowledges AI will change the world but doubts its economic viability so far.
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OpenAI's $110 billion funding round is roughly equivalent to the total amount invested in all US venture-backed startups in a typical year during the mid-2010s.
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Warren Buffett:
"The secret to life is weak competitionβ¦"
"'How do you beat Bobby Fischer?' You play him at any game except chess."
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"The secret to life is weak competitionβ¦"
"'How do you beat Bobby Fischer?' You play him at any game except chess."
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"The stock doesn't know you own it."
One of Peter Lynch's simplest lessons.
The market doesn't care about your conviction, your research, or your loyalty.
Only the business matters.
βοΈ @venture
One of Peter Lynch's simplest lessons.
The market doesn't care about your conviction, your research, or your loyalty.
Only the business matters.
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The U.S. added 172,000 jobs last month, about 2x above expectations. Markets reacted by pricing out Fed rate cuts and even started betting on a possible rate hike by December. The Nasdaq fell 4.2%, Bitcoin dropped below $60,000, and gold hit a 3 month low.
The shift came after the 10-year Treasury yield moved above 4.5%. But the details of the report were less straightforward.
Around 70,000 jobs came from leisure and hospitality.
Another 50,000 jobs came from local government, security, and infrastructure roles.
Some economists linked part of the increase to hiring ahead of the World Cup on June 11.
Wage growth slowed to 3.4%, yet the headline number was enough to change expectations for Fed policy and erase more than $1 trillion in market value.
A strong jobs report became a problem because markets were positioned for lower rates.
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Wise shares fell almost 20% after Belgian prosecutors confirmed an investigation into roughly β¬500M in suspicious transactions across more than 30 European countries. The stock later recovered most of the drop, closing down around 8%.
The market may be treating this like a short-term headline. The risk looks more structural.
The fine itself may not be the real problem. The bigger issue is what comes after: more compliance staff, more monitoring systems, possible historic account reviews, and years of regulatory pressure.
That can turn a high-margin fintech story into a heavier, slower, lower-margin business.
Wise may still have strong defences. The β¬500M figure is spread across 30 countries, and its scale makes it a natural target for regulators. But the pattern is now hard to ignore.
The stock bounce says βone bad headline.β
The regulatory trail says βmulti-year overhang.β
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Apple finally unveiled Siri AI at WWDC 2026, nearly 2 years after first announcing its AI assistant plans. The new version is built on Google Gemini models alongside Apple's own AI systems.
The assistant can understand context across apps, pull information from emails, access content on your screen, help write text, create photo albums from prompts, and edit photos using natural language. Apple also launched Siri AI as a standalone app, reflecting how many users have adopted tools like ChatGPT.
The rollout covers iPhone 15 Pro and newer devices, plus iPads and Macs with M1 chips or later. Some features have usage limits, while expanded access is included with many iCloud+ plans. Analysts estimate AI services could generate an additional $15B annually for Apple.
Apple first promised an AI-powered Siri in 2024.
The product is finally here.
Now it has to work.
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Intel shares surged after reports that Google and Nvidia are discussing using the company as a backup manufacturer for advanced AI chips.
The move highlights a growing problem in the AI industry. Most advanced chips, including Nvidia GPUs, Google TPUs, and Apple silicon, are produced by TSMC. As AI spending continues to rise, relying on a single manufacturer has become a major supply chain risk.
Intel is currently the only U.S. chipmaker with the fabs, engineering capacity, and government support needed to compete at this scale. Google has reportedly ordered more than 3 million TPU chips to be manufactured by Intel in 2028, while Nvidia is testing Intel's process for future chip designs.
For Intel, landing Google and Nvidia would be a major milestone in its foundry turnaround. For the AI industry, it signals that the biggest buyers are actively building alternatives to TSMC.
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Strategy disclosed a purchase of 1,550 BTC for $101 million at an average price of $65,332 per coin. The buy came shortly after the company sold 32 BTC for $2.5 million, a move that sparked concerns about liquidity and funding pressure.
The purchase was almost 48x larger than the sale. It also came at a price well below the $77,135 average sale price and below Strategy's reported cost basis. At the same time, the company rebuilt its cash reserve to $1 billion after it had fallen to around $900 million.
The important detail is how the purchase was funded. Strategy raised $181 million through newly issued shares and used that capital for Bitcoin purchases and reserve funding. The Bitcoin sale itself was not the source of the cash.
The model remains the same: issue equity, raise capital, buy more Bitcoin. The debate is shifting from whether Strategy will sell BTC to how much dilution each new purchase requires.
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Leopold Aschenbrennerβs AI hedge fund, Situational Awareness has reportedly surpassed $20B in assets.
The fund is up roughly 270% after fees this year through May and more than 1,000% since inception.
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The fund is up roughly 270% after fees this year through May and more than 1,000% since inception.
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A new investigation estimates that the Trump family's crypto ventures generated at least $2.3 billion since 2025. Over the same period, retail investors are estimated to have lost roughly $2.3 billion across those same products.
β
The businesses include $TRUMP, WLFI, the USD1 stablecoin, and American Bitcoin. Across each project, the pattern was similar: insiders received large allocations, retail demand pushed prices higher, and later buyers were left holding assets that traded far below peak levels.
β
In the case of $TRUMP, insiders reportedly controlled around 80% of the token supply through vesting structures that allowed gradual selling into market demand.
β
The story extends beyond crypto. The proposed GENIUS Act could directly affect the regulatory treatment of stablecoins, including USD1. Critics argue that investors were not only betting on the products themselves, but also on the possibility that a Trump-linked administration would shape the rules governing them.
β
The overlap between political influence and crypto ownership is becoming part of the investment thesis itself.
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