What separates organizations that are thriving with AI from those still struggling to see results?

In this episode of IntoTexas AI, Shannon Belew explores groundbreaking new research from The University of Texas at Austin and KPMG examining how employees actually use AI inside organizations — and why only a small percentage of workers generate outsized value from AI systems.

The findings challenge one of the biggest assumptions in business today: that AI success is simply about deploying more tools or increasing usage.

Instead, the research suggests successful AI adoption depends heavily on:

• Human behavior
• Organizational culture
• Workflow redesign
• Critical thinking
• Leadership strategy
• And how employees collaborate with AI

The episode also explores:

• Why “using AI” is different from “working with AI”
• The rise of sophisticated AI collaboration
• Concerns about AI overdependence and weakened critical thinking
• The growing problem with measuring AI adoption through superficial metrics
• Why leadership teams may need to rethink workforce development entirely

Additional research and insights referenced include studies from Microsoft, Harvard Business School, Harvard Business Review, MIT Sloan, and other leading organizations examining the future of human-AI collaboration.

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