AI Agents Key to Unlocking Gen AI Business Impact
Survey shows 80% of companies use gen AI but see no bottom-line impact; AI agents may bridge the gap by enabling transformative use cases.
The Gen AI Adoption Paradox
A recent McKinsey survey reveals a striking disconnect in generative AI (gen AI) adoption: while nearly 80% of companies report using the technology, the same percentage say they’ve seen no significant bottom-line impact. This paradox highlights a critical challenge for business leaders investing heavily in AI without clear ROI.

Enter AI Agents
McKinsey’s latest CEO playbook on agentic AI positions AI agents—tools that facilitate human-AI interaction—as the solution to move beyond pilot projects. These agents can:
- Transform function-specific use cases from experimental to operational
- Enable cross-functional collaboration for enterprise-wide impact
- Bridge the gap between AI investment and tangible business results
The Future Hybrid Workforce
McKinsey Senior Partner Jorge Amar predicts a fundamental shift: "We’re entering a world where you’ll think about your workforce as both agentic and human." Key considerations include:
- Change management: Crafting compelling narratives about AI’s role
- Workforce integration: Seamlessly blending human and AI capabilities
- Skill development: Preparing employees for agent-augmented workflows
Actionable Insights for Leaders
- Prioritize agentic AI implementations that demonstrate clear business value
- Develop change management strategies to ease workforce transitions
- Measure impact rigorously to justify continued AI investment
For deeper analysis, explore McKinsey’s Future of Work insights and the McKinsey Talks Talent podcast discussing these workforce transformations.
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About the Author

Dr. Emily Wang
AI Product Strategy Expert
Former Google AI Product Manager with 10 years of experience in AI product development and strategy formulation. Led multiple successful AI products from 0 to 1 development process, now provides product strategy consulting for AI startups while writing AI product analysis articles for various tech media outlets.