The market is gradually coming back to reality, and artificial intelligence is turning from a “magic tool for stock growth” into a regular, albeit very powerful, business instrument. On March 27, 2026, investors are increasingly asking a simple and uncomfortable question: where is the money. Not in presentations, not in promises, but in real profit.
Recent market movements clearly show this. Meta Platforms has already lost about 20% from its peak levels despite growth in its advertising business and a strong user base. Reddit, on the other hand, has dropped nearly 50% since the beginning of the year, even though its audience and engagement remain high. At first glance, this looks like a paradox: the business is growing, but the stock is falling. However, for the market, this is a completely logical reaction.
The main reason is that the era of “taking things on faith” is ending. Not long ago, it was enough to add the word AI to a company’s strategy, and investors would project billions into the future on their own. Now that is no longer enough. Artificial intelligence has turned out to be not only an opportunity but also a massive expense.
Meta itself is investing tens of billions of dollars in AI infrastructure, data centers, and its own models. This is a long-term bet, but in the short term, it puts pressure on profits. The market, which just a year ago was willing to overlook this, now demands concrete numbers. Not “we will become leaders,” but “how much are you earning right now.”
Investors have become much more demanding, and this is clearly reflected in stock behavior. The formula “AI = automatic growth” no longer works. In its place, a new logic has emerged: AI must either already be generating revenue or have a clear and short path to monetization. Everything else is being discounted by the market.
On top of that, there are real risks. Social platforms are increasingly facing legal pressure and regulation, making their business less predictable. Reddit, for example, is highly dependent on search traffic, primarily from Google, and any algorithm changes can significantly impact its audience. At the same time, AI itself is starting to compete for user attention, changing traditional content consumption patterns.
As a result, we are witnessing the beginning of a revaluation across the entire AI sector. The market is no longer blindly buying “stories.” Companies with high costs and delayed returns are the first to come under pressure, especially if they lack a clear business model that converts technology into money here and now. This is an important shift. It does not mean that AI has lost its potential. On the contrary, its importance is only growing. But the market is returning to a more traditional approach: technology itself is worth nothing if it does not translate into profit.
For investors, this changes the rules of the game. A strong brand or a large audience no longer guarantees stock growth. Even a leader in its niche can fall if its costs outpace its revenues. Artificial intelligence remains a long-term story, but it no longer looks like a quick way to make money. Today, the winners are not the companies that talk the loudest about AI, but those that can monetize it. The market is once again doing what it has always done in more mature periods: separating technology from business and valuing the latter much more strictly.
In simple terms, the hype era is ending. The reporting era is beginning. And in this reality, the main question is no longer “do you have AI,” but “how much money does it make.”
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