Perplexity CEO Aravind Srinivas Confirms IPO Plan for 2028
Aravind Srinivas, CEO of AI search company Perplexity, stated that the company plans to initiate its initial public offering (IPO) in 2028.
This statement is independent of the listing progress of Anthropic and OpenAI. Srinivas emphasized that regardless of the performance of these two companies in the public market, the timeline remains unchanged, with the company's current valuation at approximately $20-22 billion.
The market views this as a signal of a long-term capital path for independent competitors in the AI search field, with investors focusing on how Perplexity's revenue growth through subscriptions, advertising, and enterprise tools will impact its appeal in the public market.
Source: Public Information
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Perplexity has previously completed multiple rounds of financing, raising over $1.5 billion and attracting investors such as Jeff Bezos and NVIDIA. The 2028 IPO plan continues its path as an independent AI search engine, having achieved rapid revenue growth through efficient use of open-source models to lower costs.
On the capital path, Srinivas is pushing the company to focus on monetizing subscriptions and enterprise services, aiming to convert early venture capital into sustainable cash flow. This move is intended to achieve a target of $1 billion in annual recurring revenue by 2026, accumulating sufficient financial foundation for the 2028 listing and reducing reliance on external financing.
Similar to Anthropic and OpenAI, which gradually moved to the public market after high valuations, Perplexity is currently in an expansion phase, transitioning from a startup search tool to a mature AI platform, solidifying its industry position in the generative AI application layer through differentiated search experiences.
Essentially, this reflects a trend of capital concentration and technological substitution: the 2028 IPO plan indicates a concentration of AI infrastructure capital towards efficient application layers. Perplexity is achieving performance close to leaders through lower-cost models, accelerating the shift of pricing power in the search field from traditional engines to AI-driven platforms, and reshaping the knowledge acquisition industry structure.
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As competition intensifies, the pace must be independent rather than follow.
Revenue leads, valuation follows, and the IPO becomes natural.
Cost advantage is the moat, and time is the ultimate leverage.