Take Two Interactive has reportedly laid off key members of its artificial intelligence division, including its head of AI, in a move that signals a shift in how the company is approaching the technology.
The development comes just months after the publisher had indicated it was actively exploring generative AI across its studios, with multiple pilot initiatives underway. The layoffs were confirmed through public statements from affected employees, including AI lead Luke Dicken, who had been overseeing the company’s efforts in this space following his tenure at Zynga.
While Take-Two has not officially detailed the scale of the cuts, the decision stands in contrast to its earlier positioning around AI as a tool for improving efficiency in game development. At the same time, CEO Strauss Zelnick has consistently maintained a cautious stance on the technology, particularly when it comes to its role in creating large-scale titles. He has previously suggested that expectations around generative AI producing major games are overstated.
The restructuring appears to reflect that position in practice. Rather than expanding its AI footprint, Take-Two is now narrowing its focus, potentially moving away from broader experimentation toward more targeted, practical use cases.
The move also comes at a significant moment for the company, as it prepares for the release of Grand Theft Auto VI, one of the most anticipated titles in the industry. Zelnick has already indicated that generative AI is not being used in the development of the game, reinforcing the view that core creative processes remain firmly human-led at the highest level.
Across the industry, companies continue to explore AI as a supporting tool, particularly in areas such as workflow optimisation and production efficiency. However, large-scale adoption remains measured, with studios balancing experimentation against concerns around quality, control, and long-term value.
Take-Two’s decision highlights a broader shift in how gaming companies are approaching AI. The focus is moving away from expansive experimentation toward clearer, more defined applications, as publishers begin to evaluate where the technology can deliver tangible results.
