Don’t just pick the low-hanging fruit — harvest the whole orchard
An opinion piece argues that organizations deploying AI tend to start with low-risk, routine tasks but suggests the greater value comes from applying AI to higher-stakes work that people typically avoid.
Why this matters: This is a real tension in how AI gets adopted at work. Safe, boring use cases feel responsible. But they also keep humans in charge of the decisions that matter and hand AI the tasks that matter least. The argument here is that the cautious approach leaves most of the value on the table. That may be true. It also means the pressure will grow to put AI where the stakes are higher, the errors are costlier, and the accountability is murkier. Worth watching which direction that pressure pushes.
Who should care: General readers · AI governance · Policy
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