AI Work Rethink Boosts Enterprise Returns
Enterprises using AI across multiple functions see 93% returns on AI investments versus 55% for single-function use.
In brief
Enterprises using AI across multiple functions see 93% returns on AI investments versus 55% for single-function use. Deep AI integration drives higher ROI by fixing organizational bottlenecks before deploying new models. Originally reported by Pymnts.
AI Value Gap
Companies with AI in one or two functions use it across 41 of 75 tasks. Deeper adopters use it across 40 tasks but report 93% returns versus 55% for early adopters.
Bottleneck Shift
AI's next challenge isn't smarter models but fixing data, permissions, and workflows that prevent existing AI from working.
Organizational Debt
Companies with three or more AI functions report 5.6 barriers to adoption, including incompatible databases and fuzzy ownership.
AI Enablement
The next AI spending boom may focus on cybersecurity, identity, cloud infrastructure, and data management instead of model costs.
Competitive Edge
Competitors can rent the same AI models, but only companies with strong organizational architecture can exploit them effectively.
The essence
Deep AI integration drives higher ROI by fixing organizational bottlenecks before deploying new models.
