By 2026, most startups treat AI as a standard feature. Venture funding is increasingly going to a few very large AI companies, raising bubble concerns.
In short: By 2026, many startups treat AI as a standard part of their product and fundraising, while most venture money is flowing to a small group of AI giants.
AI is no longer a special add-on for many startups. It is showing up by default in product plans, investor pitch decks, and daily operations. Some founders now assume they need an AI angle just to be taken seriously.
Funding data shows how strong the focus has become. In 2025, AI startups took 41% of the $128 billion raised by companies on Carta, a record share. A lot of the money went to a handful of very large rounds, including OpenAI, xAI, and Anthropic.
That has led to a market where the biggest players raise bigger and bigger checks, while other startups find it harder to raise money. One reason is cost. Running advanced AI models can be expensive, like paying for a large fleet of computers that work around the clock.
This pressure is also affecting jobs. The Financial Times reports that 55,000 US layoffs in 2025 cited AI as a factor, as companies try to replace some work with software.
Investors and bankers are watching for possible stock market listings in 2026 from well known AI companies. At the same time, there are growing concerns about a bubble, since so much funding depends on a few connected deals and a few top firms. For regular startups, the key test may be simple, whether they can explain a clear customer problem and a clear result, instead of only saying their product is "AI-powered."
Source: Financial Times
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