The Adoption Problem: Why AI Usage Doesn't Translate to ROI
Almost everyone is using artificial intelligence (AI) in their business, but very few have truly adopted it. The widespread adoption of AI has led many organizations to conflate usage with adoption, wondering why they’re not seeing the return on investment (ROI) expected by 2026. According to McKinsey, a staggering 88% of organizations now use AI in at least one business function, yet only 7% have fully scaled it. This is an adoption problem, not a usage issue. Adoption won’t show up in usage metrics; instead, it will be reflected in the quarterly business review.
Related news
- Artificial Intelligence Easily Fooled in Search for Life, New Research Reveals
- Building Efficient AI Assistants with Semantic Ontologies on AWS
- 5 Administrative Tasks Advisors Should Automate for Greater Efficiency
- AI Writing Faces Its Human Test: Dr. Humanizer's Real-World Results
- Google Wins Dismissal of Suit Alleging Gemini AI Assistant Secretly Tracked Users' Private Messages
- Stack Overflow's Decline Signals a Bigger AI Knowledge Problem
- Building AI Assistants with LangChain and LangGraph: A Journey of Discovery
- IBM and Red Hat Launch Lightwell Catalog to Automate Vulnerability Remediation