Generative AI, automation, and advanced analytics emerge as dominant themes, materially reshaping delivery models and improving operational efficiency. Service providers are increasingly differentiating through domain-led solutions, platform engineering, and modernization capabilities, while adopting new pricing frameworks such as token-based, POD-linked, and usage-driven commercial models. Agentic AI is at a key inflection point, enabling autonomous, multi-step execution across software development, testing, and operations. Tech services companies are showcasing their AI progress through metrics such as TCV from AI-driven programs, proprietary IP, and next-generation platforms.
Highlights
- AI-led delivery introduces SaaS-like economics into IT services — low marginal cost of replication, high scalability, and better revenue-per-employee ratios.
- While overall attrition is down, top AI/ML engineers continue to get premium offers, driving a bifurcation in talent markets.
- Industry leaders uniformly acknowledge weak demand environment, but AI adoption is accelerating as a non-negotiable growth lever. AI is no longer viewed as an exploratory investment but as a tangible force reshaping value creation and business models.
- Despite regulatory overhang from H-1B and the HIRE Act, M&A in IT services remains robust, with both, strategic and PE buyers driving a pickup in large-ticket activity.
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