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AI Consulting for Startups

AI Consulting for Startups

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

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