Published by: McKinsey & Company Search for original: Link
Key Take Aways
Building AI prototypes is straightforward, but translating these into measurable business value remains a significant challenge.
Despite 80% of companies adopting the latest generation of AI, the same proportion have not observed meaningful improvements in revenue or cost savings.
Many high-value AI use cases are still confined to pilot phases due to organisational, technical, and strategic barriers.
The "Generative AI Value Paradox" describes the gap between widespread AI adoption and limited realised return on investment.
Organisational transformation requires a clear value-led roadmap, prioritising impactful use cases aligned with business strategy.
Talent shortages in critical AI roles and ineffective collaboration between business and technical teams hinder deployment efforts.
There is often insufficient momentum and undefined processes for AI implementation, slowing down executi...
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