• Outcome-based models are replacing traditional time-based IT services
• Human value is shifting from execution to judgment, oversight, and design
• AI is evolving from a tool into a managed component of the organization
INSEAD, The Business School for the World, together with NTT DATA, a global leader in AI, digital business and technology services, today announced a joint research report on Talent Transformation in the AI Era, a collaborative study examining how artificial intelligence is reshaping the IT services industry.
Drawing on new executive interviews and proprietary data, the study examines how AI adoption is advancing beyond experimentation toward broader enterprise transformation. The findings highlight the major shifts in the IT services talent model, including:
- Transformation of work and roles: AI is shifting the value of human work from execution to judgment, oversight, and design. Routine tasks are increasingly automated and demand is rising for domain expertise, AI orchestration and governance capabilities.
- Evolution of process and organizational structures: Organizations are moving away from traditional pyramid structures toward more flexible models with a stronger mid-layer, indicating that hybrid human–AI operating models are becoming a practical reality.
- Transformation of value creation and business models: Time-based, labor-driven models are becoming less sustainable as AI-driven productivity increases. Instead, there is a shift toward outcome-based and asset-driven models, where value is defined by results rather than effort.
- Human-AI collaboration as an operating model: AI is evolving from a tool into a managed component of the organization. As hybrid human-AI teams become more common, the findings emphasize the growing importance of governance, accountability and leadership in managing them.
- Presentation of strategic options based on future scenarios: IT services firms are being pushed to transition from talent supply-based models to AI-native organizations. The research outlines multiple future scenarios, revealing how strategic choices made today will significantly impact talent structure, organizational design and revenue models.
Building on the strategic insights introduced in NTT DATA’s 2026 Global AI Report, the findings make clear that AI adoption is not merely a matter of improving efficiency, it is a fundamental transformation that demands a redesign of how value is created, how organizations are structured and how talent strategies themselves are developed and deployed.
AI transformation is as much a technological challenge as it is a strategic, leadership and organizational one. Success will depend on how effectively companies align strategy, culture, governance and talent development with AI-enabled operating models. Talent management becomes a critical differentiator as AI impacts both what can be done and how.
Collaboration on this initiative reflects a shared commitment by NTT DATA and INSEAD to bridge academic research and real world applications, turning evidence and executive insight into practical guidance for industry leaders navigating AI-driven change.
The full research report can be accessed here: Impact of AI on the IT industry : Talent transformation in the AI era.
