Two of the biggest names in AI just moved toward going public. A third is doing the opposite.
Perplexity says it will wait until 2028, and its CEO has a clear reason why.
Anthropic builds the Claude AI assistant. It just confidentially filed for an IPO last week.
An IPO, or initial public offering, is when a private firm sells shares to the public for the first time.
OpenAI, the maker of ChatGPT, filed its own paperwork on Monday. Anthropic was last worth almost $1 trillion.
Perplexity runs an AI search engine. Its CEO, Aravind Srinivas, says none of this changes his plan.
The target was always 2028. It still is.
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Srinivas is watching one event closely. That is the SpaceX IPO this week.
He calls it a leading sign of how Anthropic and OpenAI will do. His logic is simple.
If these giant deals go badly, the pain spreads to every AI firm in line.
He thinks they will go well, because the businesses are doing well. But he was honest about the risk.
There is no sugar-coating it if they don't.
Anthropic and OpenAI are called frontier labs. Their models are among the best in the world.
That status is exactly why they can charge so much. It is also why any stumble would sting.
Investors are watching the price tags closely. A near $1 trillion value leaves little room for error.
Srinivas thinks the worry is overblown for now. He says the pace of progress is still fast.
These would be among the biggest IPOs ever. That is why so many on Wall Street are watching.
A good debut could open the door for the rest. A weak one could slam it shut.
Srinivas also named the one thing that could dent these high prices. It is a slowdown in how fast AI models improve.
His rule was blunt. Go six months with no real leap, and that becomes a problem for the firms behind them.
There is one more pressure point. Firms are now asking how much they spend on AI, and OpenAI's Sam Altman has called those costs a big issue.
There is even a name for one new habit. Some workers pile on AI use just to look busy, a trend nicknamed tokenmaxxing.
Srinivas would rather keep it simple. He picks a cheaper model when it does the job almost as well, even if it costs far less.
His bottom line is upbeat, with a catch. The future of AI is bright, but the days of mindless spending are over.
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