GoKawiilCompanies are celebrating AI usage for its own sake, but activity isn’t the same as impact. Most enterprise generative AI investments have yet to deliver the value companies envisioned, and every day, more leaders are recognizing that people lie at the heart of the struggle. In this year’s AI & Data Leadership Executive Benchmark Survey, 93% of executives leading AI and data efforts identified human issues around culture and change management as the primary obstacle to adoption. McKinsey Global Managing Partner Bob Sternfels put it plainly on HBR’s IdeaCast: “Half if not more of the secret sauce” in getting value from AI, he said, “is organizational change, as opposed to technology implementation.”
Beware of “trophy-style” AI adoption
Why This Matters
This article highlights the gap between AI adoption and its actual impact within organizations, emphasizing that technological investment alone is insufficient. The real challenge lies in managing organizational change and human factors, which are critical to realizing AI's full potential. For the tech industry and consumers, this underscores the importance of focusing on cultural and change management strategies to ensure AI delivers meaningful value.
Key Takeaways
- Most AI investments haven't yet delivered expected value.
- Organizational change and culture are key to successful AI adoption.
- Focusing on human factors is essential for realizing AI's full potential.
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