Video

Why 90% of Businesses Fail at AI Adoption (And How to Fix It)

Why do businesses struggle to adopt AI effectively? Kanth explains the technology S-curve, data privacy and security risks, AI hallucinations, AI-native competition, and the shift from SEO to AEO.

About this video

In this video, Kanth breaks down why business leaders can recognize the importance of AI and still struggle to adopt it effectively. He uses the technology S-curve to explain the gap between early adopters and laggards, then looks at practical barriers including data privacy, security, hallucination risk, the learning curve, changing search behavior, and competition from AI-native companies.

Key topics

  • The technology S-curve: early adopters vs. laggards
  • The three pillars of AI: algorithms, data, and compute
  • Data privacy and security risks when adopting AI
  • Why hallucinations matter in high-stakes business environments
  • How AI-native startups change the competitive landscape
  • The shift from SEO to AEO as search habits change
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