Why most companies shouldn’t have an AI strategy
Subscribe to enjoy similar stories. For the past two years, ever since the launch of ChatGPT, there has been a common refrain among companies and organizations of all sizes: We need an AI strategy! The frenzy is understandable. Nobody wants to be left behind, and miss the Next Big Thing.
So, many companies are rushing ahead—some even creating AI “centers of excellence" to centralize AI expertise and resources, and naming chief AI officers to the C-suite. Sorry to say this, but most of them are making a mistake. My takeaway from my work with organizations as they grapple with artificial intelligence is that not only do most companies not need an AI strategy, but they shouldn’t have one at all.
Going down that road will be, at best, a distraction. That might seem radical, even nonsensical. Unless companies have an AI strategy now, don’t they risk falling behind the competition? My answer is no, for a variety of reasons.
Even if a well-crafted AI strategy were to somehow magically land in a CEO’s inbox, the organization likely won’t be able to implement it. Most just haven’t done the required foundational work. Much of it comes down to data.
Poor data quality—incomplete, biased or unstructured—affects AI performance in the same way it can have an impact on any other technology. If you don’t have good data, you can have great strategic intent, but you won’t be able to execute it. The strategy will simply divert attention from what the company really needs to do.
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