Organisational barriers may still be too high
Despite widespread AI hype and demonstrated capabilities, the article highlights the persistent gap between AI potential and actual enterprise adoption, suggesting a more fundamental issue than just technology readiness.
This indicates that the promised productivity gains and economic shifts from AI may be slower to materialize than anticipated, recalibrating expectations for investors and policymakers.
The focus shifts from purely technological advancements in AI to the organizational, cultural, and strategic barriers within companies that hinder its effective deployment and value capture.
- · AI consulting firms
- · Change management consultants
- · Integration platform providers
- · Companies with strong internal innovation cultures
- · Overly optimistic AI software vendors
- · Companies failing to adapt organizational structures
- · Investors betting on rapid, widespread AI adoption
- · Traditional IT departments resistant to change
Companies will increasingly invest in organizational restructuring, leadership training, and change management alongside AI technology.
The pace of AI-driven productivity growth at a macro level will be slower than expected, impacting economic forecasts and investment strategies.
A new class of AI integrators and organizational architects will emerge, focusing on bridging the gap between AI capabilities and corporate operational realities.
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Read at Financial Times — Technology