AI may change what research is possible, but humans still decide what...

Science is entering a new phase: not one of full automation, but of faster discovery. AI is already helping teams move through literature reviews, analysis, and early exploration with far less friction, creating more room for insight and experimentation. The strategic takeaway for executives and research leaders is straightforward. AI can accelerate workflows and support parts of forecasting, but it should not be treated as a substitute for scientific judgment, prioritization, or interpretation. The opportunity in 2027 is to build research operations that are more productive, more responsive, and still firmly guided by human strategy. The best teams will use AI to expand capacity while keeping people in charge of what matters most. Where do you see the biggest value today: analysis, planning, or forecasting?

Where should AI support research first in your organization?

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