"At the end of 2025, almost nine in ten organizations surveyed by McKinsey in The state of AI in 2025: Agents, innovation, and transformation reported using AI in at least one business function. Ninety-four percent reported they were not yet seeing significant value from those investments."
"A team I spoke with recently had compressed their discovery cycle from six weeks to ten days using AI. They were proud, and the throughput was real. When I asked what the work had taught them that they did not already believe, the answer was: not much. Same questions, faster. Same answers, sooner."
"AI, he wrote, "collapses the time between idea and artifact, which feels like progress. But when everything can be generated instantly, teams skip over the foundational parts of the design process: framing, research, and exploration." The strategic questions that once sat at the front of discovery have quietly moved to the back. Sometimes nowhere at all."
By the end of 2025, nearly nine in ten organizations reported using AI in at least one business function, yet 94% reported not seeing significant value. The gap is not primarily an adoption problem but a framing problem. Many organizations use AI to accelerate existing work, while durable returns require different work. Teams may compress discovery cycles and increase throughput, but learn little new when the same questions are answered sooner. As AI reduces time from idea to artifact, teams may skip foundational design steps like framing, research, and exploration. Strategic discovery questions move later or disappear, reducing the chance of creating lasting value.
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