Your company's AI strategy is backward

"Enterprises across the globe are pouring an estimated $1.5 trillion into artificial intelligence, and the results are already significant: AI has added more than $400 billion to the U.S. economy alone. Yet beneath these headline numbers lies a less celebrated truth. Most GenAI projects (95%) are failing to deliver a return on investment. This disconnect isn't a technology problem. It's a transformation problem."

"New data, based on a survey of 200 IT executives at billion-dollar U.S. companies that we conducted, reveals a quiet but historic shift in how innovation happens. For the first time, non-technical employees are driving the adoption of agentic AI, systems that can act on their own, make decisions, and automate complex workflows, at a scale we've never seen before."

"A staggering 91% of executives say that non-technical staff are playing a larger role in AI projects than they did in any previous wave of technology adoption. These aren't hypothetical use cases or innovation theater projects. The majority (78%) of these initiatives are laser-focused on solving real, persistent, everyday challenges. From automating repetitive workflows to surfacing insights buried in mountains of data across numerous systems, employees are using AI to reduce their digital friction and return their focus to projects they are passionate about and drive the business forward."

Enterprises invest an estimated $1.5 trillion in artificial intelligence, and AI has added more than $400 billion to the U.S. economy. Most GenAI projects (95%) fail to deliver a return on investment, signaling a transformation problem rather than a purely technical issue. Frontline employees in cubicles, customer service, and HR are identifying bottlenecks and driving AI adoption. A survey of 200 IT executives at billion-dollar U.S. companies shows 91% report non-technical staff play a larger role in AI projects. Seventy-eight percent of initiatives target real, persistent challenges, and 78% of leaders report significant operational transformation from agentic AI.

Read at Fast Company