GM AI Chief Exits After 8 Months, Raising Questions on Tech Strategy
The departure comes as the automaker pivots its autonomous vehicle ambitions after halting its Cruise robotaxi program and reshuffles tech leadership.
General Motors’ head of artificial intelligence, Barak Turovsky, has left the automaker after just eight months, a high-profile departure that raises fresh questions about the stability of its advanced technology strategy as it navigates a costly pivot away from robotaxis.
Turovsky, a former Google director who was appointed as GM's first chief AI officer in March 2025, announced his exit in a LinkedIn post. The move adds to a series of leadership changes in the automaker's software and technology divisions at a critical moment for its multi-billion dollar bet on autonomous driving.
GM confirmed the departure and signaled a strategic shift, stating it will not directly replace Turovsky. Instead, the AI team will now report to the company's manufacturing engineering organization. "We are strategically integrating AI capabilities directly into our business and product organizations, enabling faster innovation and more targeted solutions," a GM spokesperson told CIODive.
Despite the executive shuffle, the market reaction was muted in Tuesday trading. GM shares were trading at $71, up less than 1%, suggesting investors are taking a wait-and-see approach to the automaker's long-term tech roadmap. The stock is trading near its 52-week high of $72.87, with analysts holding an average price target of $73.92.
The departure comes as GM undertakes a significant overhaul of its autonomous vehicle ambitions, centered on its troubled Cruise division. After a serious incident in San Francisco led to the suspension of its permits, GM halted funding for the Cruise robotaxi unit in late 2024, a venture that was losing approximately $600 million per quarter.
The company is now focused on repurposing Cruise’s underlying technology for use in personally owned vehicles, promising an "eyes-off" driving experience in premium models like the Cadillac Escalade IQ by 2028. Turovsky's role was seen as central to steering this complex and capital-intensive transition, making his abrupt exit particularly notable.
His departure is not an isolated event. It follows the recent exit of Dave Richardson, GM’s former senior vice president of software and services engineering, pointing to broader flux within the company's tech leadership ranks.
Some industry observers believe such churn is indicative of a wider corporate struggle to define the role of senior AI executives. Martha Heller, CEO of the technology executive search firm Heller Search, noted that the departure is "likely one of many abrupt executive-level shifts we'll see as companies try to define what a chief AI officer actually is." Integrating a centralized AI vision into the century-old processes of a legacy automaker presents a formidable cultural and operational challenge.
By embedding the AI team within manufacturing, GM may be signaling a pragmatic shift in focus toward more immediate, industrial applications of artificial intelligence—such as factory automation and supply chain efficiency—over the moonshot goal of full autonomy. This move could yield more immediate returns but may also be viewed as a downscaling of its consumer-facing AI ambitions, which include a recently announced partnership to integrate Google's Gemini AI into its vehicles.
For now, the departure of its top AI executive introduces a new layer of uncertainty for General Motors. As it attempts to rebuild trust in its autonomous technology and compete with rivals like Tesla and Ford, the automaker must prove it has a stable and cohesive long-term strategy to deliver on its ambitious technological promises.