The Great AI Productivity Crisis: Organizational Resistance is the Bottleneck
What happened
Despite significant investments in AI, a 'Great AI Productivity Crisis' is emerging, primarily driven by irrational organizational resistance to transparency rather than technological limitations. This bottleneck is further exacerbated by inadequate underlying infrastructure, shifting the focus from model selection to operationalization.
Why it matters
Directors of AI/ML and VPs of Engineering must prioritize addressing organizational and leadership bottlenecks, developing clear, centralized AI strategies, and investing in robust infrastructure to overcome resistance and achieve true ROI from AI initiatives.
Topics
- AI Adoption Barriers
- Organizational Transparency
- Enterprise AI Strategy
- AI Infrastructure
Articles in this trend
- The Great AI Productivity Crisis — High ROI AI
- Leadership bottlenecks slow AI adoption — CIO
- Tech chiefs enlist AI agents to manage cloud app sprawl — Information and Enterprise Technology News | CIO Dive - Www.ciodive.com
- What the “2026 Future of Professionals Report” says corporate leaders should be acting on today — Thomson Reuters Institute
- The next AI bottleneck is not the model. It’s the infrastructure behind it — CIO
- Atlassian: Research shows organizations should approach AI at the team level, not the individual level, to achieve true ROI — VentureBeat
- Executive Interview: Vigilant AI.ai — CB Insights Research