?? Is Your AI-First Strategy Causing More Problems Than It’s Solving?

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By Oguz A. Acar | March 18, 2024

From technology giants like Google to major management consultants like McKinsey, a rapidly growing number of companies preach an “AI-first” strategy. In essence, this means considering AI as the ultimate strategic priority, one that precedes other alternative directions. At first glance, this strategy seems logical, perhaps even inevitable. The figures speak for themselves: the sheer volume of investment flowing into AI technologies shows the confidence levels in an increasingly AI-driven future.

But could this approach be a major strategic misstep, the very reason undermining AI transformation initiatives?

As organizations increasingly prioritize AI above and over everything else, they risk forgetting that technology’s primary purpose is to solve problems. An AI-first approach could rapidly drive AI deployment across business operations, not because it solves “real” organizational or customer problems, but because AI implementation becomes an end in itself. The likely outcome is a lot of AI solutions in search of problems, or worse, solutions that create new problems.

1. When AI-First goes wrong

2. A Balanced Approach to AI

3. Problem-centric.

4. People-first.

5. Principle-driven.

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