

The 7 Biggest Mistakes Companies Are Making with AI and Agent Adoption
515 snips Apr 16, 2025
Nufar Gaspar, an AI adoption strategist formerly at Intel, shares her insights on the seven critical mistakes companies make when adopting AI and agents. She highlights the unrealistic expectations many have about AI capabilities and the importance of clear strategies and robust data access. Communication silos hinder progress, so fostering collaboration is essential. Gaspar emphasizes conducting agent readiness audits to address employee challenges and advocates for a proactive approach to avoid delays in AI adoption.
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Two-Directional Approach to AI Adoption
- Balance top-down leadership with bottom-up involvement from employees.
- Involve employees early to address fears, ensure buy-in, and gain crucial execution details.
Top-Down AI Approach Failure
- One CEO aimed for an "AI-first" company, solely hiring agents.
- Employee interviews revealed underlying job security fears and AI distrust, hindering success.
Structured AI Adoption
- Establish a dedicated AI team with sufficient bandwidth (more than 10 hours weekly).
- Create a clear, adaptable AI policy proportional to company size, age, and risk.