Perplexity proposes to buy TikTok, says it wants to open source the algorithm and that it is “singularly positioned to rebuild” it “without creating a monopoly”
But Can It Really Pull It Off? Arthur Brown / Android Headlines : TikTok could be owned by an AI company The News International : Perplexity joins race to buy TikTok and reshape its algorithm Sean Burch / The Wrap : Perplexity AI Makes TikTok Bid, Vows to Make It ‘Most Neutral and Trusted Platform’ David Cohen / Adweek : With No Deal in Place, Perplexity Details Plans for TikTok Glenn Chapman / Tech Xplore : AI startup Perplexity confirms interest to buy TikTok Colin Kirkland / MediaPost : Perplexity AI Wants To Rebuild TikTok's Algorithm For US Users Karissa Bell / Engadget : Perplexity AI says it would rebuild TikTok's algorithm and add Community Notes features Elaine Mallon / Washington Examiner : Perplexity AI makes bid for TikTok as Oracle emerges as frontrunner Jason Nelson / Decrypt : Perplexity AI Advocates for TikTok Takeover as Company Eyes $18 Billion Valuation Julia Shapero / The Hill : Perplexity AI makes pitch for TikTok purchase Mastodon: James House-Lantto / @Theeo123@mastodon.social : https://www.theverge.com/... Perplexity, an AI search startup, has proposed a bid to buy and rebuild TikTok's algorithm, aiming to make it transparent and open source. — The company claims it's uniquely positioned to do so without creating a monopoly, and plans to rebuild the algorithm in American data centers, upgrade AI infrastructure, and add personalization and multilingual capabilities. … X: @negroprogrammer : @kyliebytes Hearing rumors that Perplexity also wants original recipe Four Loko Parker Ortolani / @parkerortolani : ngl this is the best proposal so far for what a buyer could do with TikTok Marty Swant / @martyswant : A new @perplexity_ai blog post outlines a “vision for rebuilding TikTok in America,” featuring a mix of AI search, short-form video and more transparency (i.e. an open-source “For You” algorithm. Seems like it's part of Perplexity's big pitch to merge with TikTok. [image] Marty Swant / @martyswant : @perplexity_ai The blog post also touts Perplexity's “advanced AI infrastructure” powered by @nvidia's newly announced open-source Dynamo software released Tuesday at #GTC25. On stage, Nvidia's CEO even gave Perplexity a shout-out as one of his “favorite partners.” https://www.perplexity.ai/... LinkedIn: Hadi Partovi : Did not see this coming. — Perplexity + TikTok: “combining world-class technical capabilities with Little Tech independence.” Forums: r/technews : Perplexity wants to buy TikTok and open-source its algorithm
Context & Ripple Effects
Perplexity had already put forward a TikTok US merger proposal and then revised it to allow for potential government ownership after an IPO. This pitch adds a product-governance case to that transaction framework: rebuilding the recommendation system, moving infrastructure to U.S. data centers, and opening the algorithm.
The proposal matters because it casts a company known in related coverage for its AI answer engine as a prospective operator of a major video-discovery platform. Its stated neutrality and transparency commitments are central to differentiating the bid, rather than merely financing a change in ownership.
First-order effects
- Perplexity’s bid gives TikTok’s owner and policymakers a defined alternative proposal built around U.S. infrastructure, algorithm rebuilding, and open-sourcing the For You recommendation system; none of those changes takes effect unless a deal is reached.
- Perplexity would be committing its acquisition case to product changes—personalization, multilingual support, and Community Notes-style features—that could reshape how users and creators encounter recommendations if it becomes owner.
Second-order effects
- Other TikTok bidders face pressure to explain how their ownership structures would address algorithm control, data location, and platform trust, not just transaction financing.
- Open-sourcing a recommendation algorithm, if implemented, would move scrutiny toward the inputs, implementation, and moderation choices that determine actual feeds—areas where transparency does not by itself settle governance questions.
Third-order effects
- The episode points to a model in which AI companies seek distribution and behavioral data through ownership of consumer platforms, while using transparency and domestic infrastructure commitments to establish legitimacy with policymakers.
- If such commitments become standard in strategically sensitive platform deals, algorithm governance could become a transaction-level competitive requirement rather than a post-acquisition product policy.
The trend: AI companies are increasingly framing platform acquisitions as both distribution strategies and governance propositions tailored to political scrutiny.