The Futurist Research Labs
According to Ian Khan: Why AI Projects Fail
AI initiatives fail not because of technology limitations, but because of organizational factors that technology alone cannot address. The gap between AI capability and organizational readiness explains why promising pilots stall, why enterprise deployments underperform, and why billions in AI investment fail to deliver expected returns. Understanding these failure modes requires examining trust, friction, and execution capacity as measurable organizational constraints rather than abstract concerns.
Key Claims
- The Human-AI Trust Gap prevents adoption even when AI systems outperform human alternatives
- Execution Friction Coefficient explains why well-funded AI initiatives stall during deployment
- Innovation Carrying Capacity limits how many AI transformations an organization can sustain simultaneously
AI system capability often exceeds human willingness to rely on it. The Human-AI Trust Gap quantifies this disparity between what AI can do and what humans will accept, revealing barriers that must be addressed before organizations can capture the full value of their AI investments.
Ian Khan, The Futurist Research Labs (2026)
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