Paramount hires first consumer AI chief as Ellison bets on tech

Tezons Take: Media executives and streaming operators should pay close attention to this appointment. Paramount is not bolting AI onto existing operations as an afterthought; it is building dedicated machine learning leadership into the product hierarchy. For broadcasters still treating AI as a back-office efficiency tool, this is a signal that the competitive bar in streaming is being reset from the top.

Paramount has appointed Barak Turovsky as executive vice president and head of consumer AI, a newly created role designed to build and lead the company's artificial intelligence capability across its two main streaming platforms. The appointment, announced internally by chief product officer Dane Glasgow, is the most direct evidence yet that David Ellison's plan to reposition Paramount as a technology-capable media company is moving from rhetoric into organisation design.

What Turovsky will lead at Paramount

Turovsky's brief covers a wide set of product disciplines. According to Glasgow's internal memo, the new team will work on personalisation, content discovery, platform intelligence, consumer engagement, and the monetisation systems that underpin both Paramount+ and Pluto TV. That combination of functions represents the core of how a streaming platform retains subscribers and grows advertising revenue, two metrics where Paramount has faced sustained pressure relative to Netflix and Disney+.

Before joining Paramount, Turovsky served as chief AI officer at General Motors. Prior to that he held AI-focused roles at Cisco and Trax, and spent more than a decade at Google. The breadth of that background, spanning automotive, enterprise software, retail intelligence, and consumer internet, gives the role a cross-sector grounding that a pure streaming hire might not have provided. Machine learning systems for content recommendation have become the primary battleground in streaming retention, and the appointment of someone with large-scale consumer data experience at Google reflects where Paramount sees the technical gap.

Glasgow's memo described the timing as critical, noting that Turovsky joins as Paramount works to scale AI and machine learning in ways that will materially affect the company's growth. The language is more specific than the general AI commitments that most legacy media companies have made over the past two years, and it comes with an explicit mandate to grow the team itself, not just direct existing resources.

David Ellison's technology case for Paramount's future

Ellison has been consistent on one point since completing the Skydance acquisition of Paramount: the company cannot compete against streaming-native rivals without closing a fundamental gap in product and technology capability. Speaking to reporters after the deal closed, he argued that legacy media's failure to understand the relationship between content and technology had been the defining structural weakness of the sector's past decade.

That framing matters for understanding the Turovsky appointment. Ellison is not describing AI as a tool for cost reduction, the way most media company AI announcements are framed. He has positioned it as the missing ingredient in getting a storytelling company to grow again. That is a different thesis, and it carries different organisational implications. A head of consumer AI who reports through the chief product officer, rather than through technology infrastructure or finance, is a product bet rather than an efficiency bet.

The hire also arrives against the backdrop of Paramount's pending $111 billion acquisition of Warner Bros. Discovery, a transaction that remains subject to regulatory approval. Ellison has indicated that combining the two companies' content libraries is only part of the logic; the other part is building a technology product capable of competing with what Silicon Valley is producing in consumer software. Turovsky's appointment signals that Paramount is not waiting for that deal to close before beginning that build. For context on how the broader media consolidation is developing, see the Paramount Warner Bros. takeover story covered earlier this year.

There is a tension worth naming. Ellison has also stated publicly that AI is not a replacement for creativity and that artists and filmmakers remain the company's first priority. Squaring that position with a dedicated AI executive whose brief explicitly includes monetisation capabilities will require careful management, particularly in a company that still relies on relationships with talent whose unions negotiated hard on AI protections in the 2023 strikes.

Can Turovsky's background translate to streaming?

The question that goes unanswered in any executive appointment is whether the candidate's previous experience translates cleanly to the new context. Turovsky's Google tenure gave him experience operating AI systems at enormous scale with direct consumer impact. His GM role gave him experience deploying machine learning in a heavily regulated, operationally complex environment where errors carry real costs. What is less clear is whether either context maps directly onto the specific challenge of streaming platform intelligence, where data on viewing behaviour is abundant but the relationship between recommendation quality and subscriber retention is notoriously difficult to isolate from content quality itself.

Pluto TV presents a distinct challenge from Paramount+. As a free, ad-supported service, it relies on inventory optimisation and audience segmentation in ways that a subscription service does not. Managing AI strategy across both monetisation models simultaneously will require the team to build for two different value chains. That complexity is an argument for hiring a senior executive with broad platform experience, but it also creates a risk of diffuse focus in the early months of building the team.

Legacy media has a poor recent record of importing technology executives from outside the sector and retaining them long enough to deliver structural change. The average tenure of a chief product officer in US media has been under two years over the past five years. Glasgow himself joined from Meta only last year. Whether Paramount has built enough institutional clarity around its technology direction to give Turovsky a stable mandate is a question the next twelve months will begin to answer. Readers following the AI governance debate in Hollywood will know that the creative and commercial pressures on media AI decisions are not easing.

What this means for legacy broadcasters competing in AI-driven streaming

Paramount's decision to create a dedicated consumer AI executive role, rather than distributing that responsibility across existing technology and product teams, marks a meaningful structural shift. The closest parallel is what Netflix did when it elevated recommendation systems from a background engineering function to a named product priority in the early 2010s; that choice compounded into a competitive moat that traditional broadcasters have spent a decade trying to close. UK broadcasters and European streaming services that have not yet made equivalent organisational commitments now face a clearer picture of what the benchmark looks like.