Enterprise AI focuses on edge applications, missing core business transformation

15 articles · Updated · InfoWorld · Apr 28

A McKinsey report finds only 39% of organizations see enterprise-level AI earnings impact, with most AI used in IT, marketing, and knowledge management.
Enterprises prioritize low-risk, visible AI projects like meeting summaries and document generation, avoiding critical systems such as inventory management and logistics due to higher stakes and integration challenges.
This approach leads to limited measurable business improvements, as true transformation requires AI adoption in core operations where benefits are tangible and directly affect performance, margins, and customer outcomes.

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Is the massive energy cost of AI a hidden barrier to its use in core business systems?

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Can AI ever be fully trusted when one error in a core system could be catastrophic?