Global AI Profitability Intelligence Report


AI leaders are converting strategy into measurable profit while slower enterprises remain stuck in pilot mode and rising execution costs.
By NTT DATA | Global Research Report | Source: NTT DATA
AI has moved from a digital support function to a core business growth engine across enterprise operations.
Board priorities now center on scaling GenAI, agentic AI, governance, and ROI at production speed.
Organizations that fuse AI strategy with business strategy outperform peers on profitability, maturity, and execution speed.
Based on 2,500+ senior leaders across 35 countries, the market is separating into AI leaders and AI laggards.
⚠ Within the next 12–24 months, enterprises that fail to industrialize AI risk margin erosion, slower innovation cycles, and weaker competitive positioning across cloud, data, and customer operations.
For CIOs, CTOs, and transformation leaders, AI readiness is now an operating model decision—not an experimentation agenda.
- Align AI investment to revenue outcomes
- Scale governed GenAI use cases faster
- Modernize data and cloud foundations
- Measure profit impact by function
- Build responsible AI controls enterprise-wide
Leaders that act early can capture efficiency gains, defend market share, and accelerate enterprise growth.
Enterprise AI Readiness Blueprint
Benchmark your organization against global AI leaders and identify the fastest path to measurable value.
✔ Profitability gap analysis
✔ AI maturity scorecard
✔ Investment priority roadmap
✔ Executive action plan
Download the Report✔ Profitability gap analysis
✔ AI maturity scorecard
✔ Investment priority roadmap
✔ Executive action plan
