AI-informed leadership requires internal change and external collaboration

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When the first office computer burst onto the scene, business leaders didn’t wake up one day and decide every desk would have a Xerox Alto. Going from an analog way of working to a digital one required technical implementation and even greater change management to build machines to match the work, and to adapt the work to fit the machines—that took time, education and internal buy-in.

Similarly, as AI tools evolve and become more hong kong mobile database intuitive, business leaders need to identify how their workforce and existing systems need to adapt for AI to be successfully onboarded. This time things will move at a much faster pace, but we can’t be hasty.

There are the obvious educational pieces that need addressing, with 39% of business leaders saying a blocker to AI implementation is insufficient AI training and development. Coupled with the 37% of executives who say there’s limited organizational experience working with AI and ML, it’s clear that the current skill sets of most workplaces aren’t adequately prepared for an AI-powered one. We’re all in this situation.

Graphic listing the top 3 challenges a company may face when using AI or ML technology for marketing
Take my realm of software development, as an example. You’d be excused for thinking that engineers are the best prepared. Nope.

As AI becomes part of a developer’s toolkit and shoulders some core responsibilities like writing and deploying code, what new roles do human developers play? Their jobs probably don’t go away, but their responsibilities certainly change. Job functions will shift to be more akin to a supervisor than a coder, forcing developers to develop new muscles. Are they ready? And, are they willing to accept the change? Could it inspire backlash from those who fear AI is replacing them or eliminating the craft and creativity of their work? Beyond ramming change for the sake of productivity, savvy leaders will find framings that motivate. I see metaphors like power tools or exoskeletons or assistants as realistic comparisons, and helpful mental models.