About Session
Most studios now have an “”AI efficiency”” slide. Almost none can tell you what it does to their valuation — and that’s the number quietly reshaping fundraising, M&A, and exits.
This is a dealmaker’s view of AI and studio value. As generative tools give way to agentic production — AI that runs planning, QA, and whole pipelines, not just makes assets — the cost of building a game may be falling. But cheaper to build doesn’t mean more valuable. Sometimes it means the opposite.
Drawing on live sell-side deals, this talk gives founders and investors a framework for telling durable value from the margin mirage: why most AI savings get competed away, what breaks in diligence when a “”moat”” is just a prompt library, and which side of the table captures the upside. You’ll leave able to see through the AI-efficiency story to what a buyer will actually pay for.
**Key takeaways**
1. A test to separate a durable AI-driven margin from an industry baseline that’s about to reset — value *created* vs. value you actually *keep*.
2. The AI red flags now breaking games M&A — IP provenance, unenforceable content, subsidized-inference margins, prompt-library “”moats”” — and how buyers price each.
3. Which side of the table captures the AI upside — and how to make sure it’s yours.
A part of the PG Connects Stage at MIGS, dedicated to mobile and AI presented by Pocket Gamer.