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AI Transformation Experts Say Companies Are Really Facing a Talent Management Problem

The companies getting the most from AI aren’t treating it as a technology rollout. They’re redesigning work around the partnership between people and intelligent machines.

EXPERT OPINION BY MARCEL SCHWANTES, INC. CONTRIBUTING EDITOR, EXECUTIVE COACH, SPEAKER, AND AUTHOR @MARCELSCHWANTES

AI Transformation Experts Say Companies Are Really Facing a Talent Management Problem

If you ask employees what makes the biggest difference in their careers, they rarely mention software, strategy, or technology. They talk about a leader who believes in them, challenges them, coaches them, or gives them an opportunity they didn’t think they were ready for.

That’s worth remembering as organizations rush to embrace generative artificial intelligence, because the companies that thrive won’t lose sight of the one thing that has always driven exceptional performance: people.

That’s the message Michael Sullivan and Vinay Gidwaney,

That’s the message Michael Sullivan and Vinay Gidwaney, co-authors of Workforce Intelligence: The People-First Playbook for Leading Your Company Through AI Transformation, believe many executives are in danger of overlooking.

The real problem

Sullivan and Gidwaney believe the problem isn’t the technology itself. It’s the assumption that AI should be managed like every other enterprise software deployment.

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“Run the standard IT playbook on AI, and the adoption rate lands somewhere between 15 and 20 percent,” Gidwaney states. “AI transformation is fundamentally a talent management problem. Treat the work as a technology deployment, and every dollar you spend on AI will return a fraction of its potential value.”

For Sullivan and Gidwaney, the organizations pulling ahead

For Sullivan and Gidwaney, the organizations pulling ahead aren’t necessarily buying better technology. They’re creating stronger partnerships between people and AI while helping employees rethink how they solve problems, serve clients, and create value.

Instead of asking whether employees are using AI, leaders should ask whether they’re changing the way they work because of it. Here are some mistakes senior leaders are making, according to the authors.

Source: www.inc.com

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