Key Causes of AI Fatigue

• Overwhelming Information: A constant stream of AI news, webinars, and updates leads to decision paralysis.
• Hype vs. Reality: Gartner found that 47% of AI platforms underperform versus vendor claims, eroding user confidence.
• Rapid Change: The average enterprise now evaluates 12+ new AI tools per year, according to Forrester.
• Cognitive Overload: Harvard Business Review notes that tech-stack overload reduces user adoption by up to 40%.
• Ethical Concerns: Pew Research found that 61% of professionals worry about AI displacing their roles.
• Burnout: A 2025 EY survey found that over 50% of senior leaders involved in AI adoption reported symptoms of professional burnout.

Observable Symptoms in Teams

• Reduced motivation to test new solutions
• Confusion or frustration about overlapping AI tools
• Increased resistance to training and implementation
• Distrust in AI outcomes due to inconsistent performance
• Mental and emotional exhaustion, especially among non-technical staff