To lead in AI, start smaller | Fortune
Briefly

To lead in AI, start smaller | Fortune
"In the first week of January, every gym in the country is filled with people who have decided that this is the year they will transform their health. They'll eat better. They'll get more sleep. They'll workout daily. By February, most of these newcomers are nowhere to be seen. Transforming multiple health behaviors at once is really hard for humans unless a major health event like a heart attack or diabetes diagnosis forces them to do so."
"The same is true in business. We see this playing out with AI right now, where many companies are caught between two flawed strategies: paralyzing caution, waiting for the technology to be "proven," and distant moonshots in which massive transformations promise to reinvent entire organizations. Waiting almost guarantees you'll be left behind by competitors who are already mastering a technology that will create order-of-magnitude shifts in business models."
"Transformations are sometimes necessary but what we call "honing"- making small but deliberate changes that build cumulative momentum-is vastly underutilized. Just as a chef hones a knife daily to keep it prime-rather than waiting for it to dull and require the destructive act of sharpening-organizations can hone their approach to AI in ways that are less risky, more resilient, and ultimately faster"
Many individuals quickly abandon ambitious health routines because attempting multiple major behavioral changes at once is difficult and prone to setbacks. Small, consistent adjustments are more sustainable and often faster than drastic overhauls. Businesses face similar dynamics with AI: extremes of paralyzing caution or sweeping moonshot transformations both fail. Waiting risks falling behind; grand transformations frequently consume large resources and burnout organizations. A preferable approach is continuous honing—purposeful, incremental micro-adjustments that build cumulative momentum. Regular, modest improvements in AI capabilities reduce risk, increase resilience, and accelerate practical progress compared with periodic, large-scale reinventions.
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