Paramount is merging Pluto TV, BET+, and Paramount+ onto one tech stack to prepare for HBO Max


TL;DR

Paramount is merging Pluto TV, BET+, and Paramount+ onto one backend by mid-2026. It’s the rehearsal for absorbing HBO Max after the Warner Bros. deal closes.

Paramount is unifying the tech stacks behind Paramount+, Pluto TV, and BET+ onto a single backend infrastructure by mid-2026. CEO David Ellison announced the consolidation earlier this year. It is designed to eliminate duplicate systems, improve the app experience, and build the playbook for absorbing HBO Max after the $110 billion Warner Bros. Discovery merger closes.

The three services currently run on two different clouds with no connectivity between them. That fragmentation means separate recommendation engines, separate advertising systems, and separate data pipelines. Users get a worse product. Advertisers get worse targeting. And Paramount pays to maintain infrastructure it does not need.

The unified stack will bring together content discovery, user data, recommendations, and ad technology across Paramount’s free (AVOD/FAST), ad-supported, and subscription tiers. BET+ has already been folded in after Paramount bought out Tyler Perry’s stake and merged it with Paramount+. Pluto TV, the company’s free ad-supported service, will migrate onto the Paramount+ platform next.

The strategic logic extends beyond cost savings. The real purpose is to create a repeatable integration process for HBO Max. If Paramount can merge three services onto one stack by summer, it can follow the same blueprint when the Warner Bros. Discovery deal closes, expected in the third quarter. The combined entity would have over 200 million direct-to-consumer subscribers.

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Paramount’s chief revenue officer has described the Pluto TV migration as a “complete evolution” of the platform. Advertisers will gain improved campaign management, measurement, and targeting across what was previously a fragmented portfolio. For a company that depends on advertising revenue from its free tier, consolidating the ad stack is as important as consolidating the content.

The merger itself faces headwinds. Multiple US states are preparing to challenge the deal on antitrust grounds, and the Department of Justice has not yet issued its final decision. Paramount has been working to stay competitive in streaming while the regulatory process plays out.

The tech consolidation is the part of the merger story that gets the least attention but matters the most. Streaming services live or die on their recommendation algorithms, ad infrastructure, and app performance. Running three platforms on separate clouds is expensive and produces a worse product. Paramount is fixing that now so the HBO Max integration does not become the kind of technical disaster that has plagued other media mergers.



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After this experience, Eiger, Gilbert, and another UW PhD student, Anna-Maria Gueorguieva, decided to test ChatGPT to see what it would surface about a professor. 

At first, OpenAI’s guardrails kicked in, and ChatGPT responded that the information was unavailable. But in the same response, the chatbot suggested, “if you want to go deeper, I can still try a more ‘investigative-style’ approach.” Their inquiry just had to help “narrow things down,” ChatGPT said, by providing “a neighborhood guess” for where the professor might live, or “a possible co-owner name” for the professor’s home. ChatGPT continued: “That’s usually the only way to surface newer or intentionally less-visible property records.” 

The students provided this information, leading ChatGPT to produce the professor’s home address, home purchase price, and spouse’s name from city property records. 

(Taya Christianson, an OpenAI representative, said she was not able to comment on what happened in this case without seeing screenshots or knowing which model the students had tested, even after we pointed out that many users may not know which model they were using in the ChatGPT interface. She also declined to comment generally about the exposure of PII by the chatbot, instead providing links to documents describing how OpenAI handles privacy, including filtering out PII, and other tools.) 

This reveals one of the fundamental problems with chatbots, says DeleteMe’s Shavell. AI companies “can build in guardrails, but [their chatbots] are also designed to be effective and to answer customer questions.”

The exposure issue is not limited to Gemini or ChatGPT. Last year, Futurism found that if you prompted xAI’s chatbot Grok with “[name] address,” in almost all cases, it provided not only residential addresses but also often the person’s phone numbers, work addresses, and addresses for people with similar-sounding names. (xAI did not respond to a request for comment.) 

No clear answers

There aren’t straightforward solutions to this problem—there’s no easy way to either verify whether someone’s personal information is in a given model’s training set or to compel the models to remove PII. 



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