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A staggering 70-85% of AI projects deliver zero ROI. The reason isn't technology; it's a failure to understand the human side of transformation.
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Why up to 85% of corporate AI projects fail to deliver value, and how to design a strategy that wins.
Despite a massive market opportunity, the corporate AI gold rush is a bust. A staggering number of projects fail, representing a systemic crisis of wasted capital.
Most AI initiatives never escape the lab. The inability to scale from a proof-of-concept is a critical failure point.
Failure rate moving from prototype to production.
Conventional wisdom blames technology, but analysis of successful "AI Leaders" shows the problem isn't technical. Success is determined by focus.
Workforce resistance is a predictable psychological response to threats against security, trust, and identity. Understanding these pillars is the first step to dismantling the "human firewall" that blocks ROI.
Failure often originates with leadership. A massive "knowing-doing gap" exists, where executives believe their teams are ready for AI, while employees feel unprepared.
A successful AI strategy requires a new playbook. The "Adoption Flywheel" creates a self-reinforcing cycle of transformation, improvement, and value creation.
Gain strategic clarity. Conduct a readiness assessment and identify a high-impact business problem for a pilot.
Build momentum. Execute the pilot and empower "AI Champions" to build social proof.
Drive adoption. Deploy persona-based training and integrate AI into existing workflows.
Sustain velocity. Monitor adoption and align performance incentives to reward innovation.
You cannot run an AI-powered company on a pre-AI org chart. Value creation requires a new structure that treats AI as a core strategic function with dedicated, cross-functional ownership.
Strategic Owner
Tactical Owner
Content & Data
Risk & Trust
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A staggering 70-85% of AI projects deliver zero ROI. The reason isn't technology; it's a failure to understand the human side of transformation.
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