I just listened to a recent episode of the Harvard Business Review IdeaCast podcast "Why AI Isn't Enough to Beat the Competition" and the key points resonated with me.
In particular, it was the premise that early adoption of widely available new technology rarely yields sustained returns. I speak to leaders regularly who are feeling pressured to not only adopt but also invest in AI now - right now - to stay relevant. However, this urgency may be misplaced. Here's why:
The distinction between optimization (leveraging tech to do what you're doing but more efficiently) and innovation (doing new things to create new value) is crucial.
The “first-mover advantage” for us small and medium sized businesses has less to do with AI itself and more to do with your ability to adapt quickly and experiment with it to improve upon your existing capabilities. This is how most of us can derive value from AI in the short term.
The key to not falling behind is to align AI with your corporate strategy and leverage it against your unique advantages. But most importantly, experiment with driving efficiency of scale and streamlining of operations.
If you're struggling with this, consider seeking expert help to develop a customized roadmap that maximizes both optimization and innovation potential. Let’s talk!
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