The companies that can provide the most economic value from the power their AI uses will ultimately command the highest valuations, Perplexity CEO Aravind Srinivas told CNBC on Wednesday.
Srinivas said that whichever company can provide the “most taken value per watt per user” will be the winner in the future.
“Whoever is able to maximize this particular objective really will, by balancing accuracy, latency, cost, privacy and intelligence all together, they’re going to win, that’s what’s going to win long term,” Srinivas told CNBC’s Elaine Yu in an interview on Wednesday.
A token refers to the basic unit of data that an AI model can process. When an AI chatbot is asked to carry out a task, it breaks it down into tokens. Each token then requires energy to be processed. Srinivas’ view is that whichever company can provide the best ratio of energy to economic output will be in the strongest position.
“And so it might feel like some model providers are making a lot of money because their models are very expensive … but that’s short-term revenue growth,” Srinivas said.
Perplexity is stepping up its focus on agentic AI, a term that refers to AI systems capable of handling more complex tasks beyond simple queries. In February, the company announced Perplexity Computer, an agent it says can execute complex tasks over long periods of time.
On Wednesday, Perplexity said that its Personal Computer product will be available on Microsoft’s Windows operating system, enabling the AI to connect to apps like Word and Outlook, as well as files on a user’s device. Perplexity has already launched the Personal Computer on Apple‘s Mac product.
Perplexity faces increasing competition as rivals like OpenAI, Anthropic and Google have ramped up their focus on AI agents.
Perplexity, which was last reportedly valued at $20 billion, trails behind Anthropic and OpenAI, whose valuations have climbed to nearly $1 trillion and just over $850 billion, respectively. Anthropic this week confidentially filed for an initial public offering in the U.S. as investor demand for AI stocks continues.
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