Google DeepMind CEO Demis Hassabis has a clear message for companies using AI as justification for mass layoffs: you're doing it wrong.
In a conversation with Wired at Google I/O, Hassabis argued that the correct response to AI-driven productivity gains is to expand what teams can accomplish - not to shrink those teams. His position runs counter to a trend that has accelerated since 2023, with companies from Klarna to Duolingo citing AI efficiency as a reason for reducing headcount.
Hassabis's argument isn't purely ethical. It's strategic. If AI makes a 10-person team capable of doing what 20 people used to do, the play - from a growth standpoint - is to direct that freed-up capacity toward new products, new markets, or better quality output. Cutting headcount instead captures a short-term cost reduction but gives up the compounding upside.
This matters because Hassabis runs one of the most research-intensive AI labs in the world. His teams don't just use AI tools - they build the underlying models. If someone at that level is openly worried about the narrative around AI job displacement, it signals that the industry recognizes a real problem: the more AI gets associated with layoffs, the harder it becomes to recruit the engineers who build AI systems in the first place.
The counterargument - that some roles genuinely don't need to be backfilled once AI handles the work - has merit in specific cases. Customer support automation is a real example where headcount reductions are defensible. But Hassabis's point seems aimed at the broader pattern of companies announcing AI adoption alongside workforce cuts as if the two are inherently linked.
CFOs optimizing for quarterly margin improvements have a shorter time horizon than a research lab building toward artificial general intelligence. Hassabis is making a 10-year argument in a room full of people thinking about the next earnings call.