Markets have a funny way of making old investing mistakes feel completely new. A new technology arrives, prices surge, investors pile in and suddenly the usual rules no longer seem to apply.
That is when “this time is different” becomes dangerous.
This week, we look at the recent rise and fall of AI investor Leopold Aschenbrenner, what his experience can teach us about investment discipline, and why having a plan for getting out can matter just as much as finding the right opportunity.
What happened to Leopold Aschenbrenner, and what can investors learn from it?
Leopold Aschenbrenner became one of the most talked-about figures in the AI investment world after publishing his 165-page “Situational Awareness” research paper, which argued that artificial intelligence could advance extraordinarily quickly than we realise. He later built an AI-focused hedge fund around that thesis.
The conviction appeared to pay off. His fund reportedly gained 439% in the first six months of 2026, attracting billions in capital and reaching a reported peak of around $45 billion in assets.
Then the market turned.
AI and semiconductor stocks suffered a sharp sell-off in July. The fund’s use of leverage amplified the damage, and falling collateral triggered margin calls. Aschenbrenner was forced to sell much of the fund’s public-equity portfolio to Citadel at a steep discount.
The important lesson is not that his AI thesis was necessarily wrong. In fact, parts of the thesis may still prove correct. The problem was that being right about the long-term story does not guarantee you will survive the short-term market.
That is the danger of “this time is different”. You can become so convinced that your thesis is correct that you stop respecting what the market is telling you.
How do you stay disciplined when you believe in an investment?
This is where a disciplined process matters.
It is easy to be disciplined when a position is moving in your favour. The real test comes when it moves against you.
Imagine buying a share because you believe its business is strong, its industry has a bright future and the market has underestimated its potential. Then the price falls 5%. You tell yourself it is temporary. At 10%, you decide it is an even better buying opportunity. At 20%, you are no longer following your original plan. You are defending your decision.
That is how conviction can turn into stubbornness.
A disciplined investor defines the risk before entering the trade. What would prove the idea wrong? At what price would you accept that your analysis has failed?
This is where technical levels and stop losses become useful. A stop loss creates a predefined exit point if the market moves against you. It does not predict the future, and it cannot guarantee that you will exit at the exact price during a fast-moving market. What it does is remove some of the emotion from the decision.
Why is a stop loss so important?
Because losses compound too.
A 10% loss requires an 11.1% gain to recover. A 20% loss requires 25%. A 50% loss requires a 100% gain just to get back to where you started.
The bigger the loss, the harder the recovery becomes. That is why protecting capital is such an important part of trading.
This is also a core principle behind Pattern Profit Alerts. The service does not simply identify potential opportunities. It promotes a structured approach to entries, exits and risk management, including the use of stop losses.
The objective is not to avoid every losing trade. That is impossible. The objective is to keep individual losses manageable so that one bad trade does not dictate the outcome of an entire portfolio.
Markets will always produce exciting new stories. AI will probably change the world more than we can imagine. The next big technology might be even more transformative. But no matter how compelling the story sounds, the market still has the final say.
“This time is different” may sometimes be true, but your risk management should not be.
The smartest investors are not the ones who are always right. They are the ones who know what they will do when they are wrong.
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