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Scientists are saving time with AI, but the laboratory is struggling to keep up. A new DeepMind Institute essay reports that 40.5% of surveyed researchers have a growing backlog of untested hypotheses, while 43.5% say their main research bottleneck has shifted downstream into testing and validation. The findings draw on 15 million interactions across Gemini services, an analysis of more than 2,600 specialized AI models and a survey of 637 active scientists in the US and UK. Together, they show how faster computational work can leave researchers with more possibilities than they have the capacity to investigate. Surveyed scientists report saving an average of just under seven hours a week through AI, mostly reinvesting that time in research. Nearly half use AI daily. Yet 45.7% say they spend more than a quarter of the time they save checking AI outputs.