Artificial intelligence-led services could generate a net new opportunity of $100–200 billion by 2030, with the bulk of the required talent already embedded within existing technology services firms, according to a new report by Boston Consulting Group (BCG) released on 29 October 2026. The findings signal a significant structural shift in how global IT services are priced, staffed, and delivered.

The $300-400 Billion Growth Projection

According to the BCG report, AI-led services are projected to contribute $300–400 billion in total industry growth by 2030. However, this will be partially offset by approximately $200 billion in existing revenue contracts that AI will displace or cannibalise, resulting in a net opportunity of $100–200 billion. Much of this growth is expected to come from building and running agentic solutions — work that becomes increasingly outsourceable as agentic tooling matures.

The broader global services market is projected to expand from roughly $1.6–1.7 trillion in 2025 to $2.2–2.4 trillion by 2030, underscoring the scale of AI's role in reshaping the industry.

Talent Deployment, Not Talent Availability

The report draws a sharp distinction between having AI talent and deploying it effectively. At technology services firms, Applied AI — where professionals directly build or operate AI systems — accounts for only 10–15 per cent of the AI-tagged workforce. By contrast, at AI-native firms, that figure stands at 90–95 per cent. The remaining 85–90 per cent at traditional technology services firms falls under Infused AI, where workers use AI tools to augment existing tasks rather than drive them.

This gap, the report argues, is the central challenge: the talent exists, but it is not being deployed where the highest-value AI work happens. Sreyssha George, Managing Director and Partner at BCG, put it directly: 'The people who can deliver applied AI are largely already on the payroll, and clients are moving from paying for hours to paying for outcomes. That changes how work is staffed and rewarded.'

40 Distinct AI Roles Mapped to Existing Jobs

The BCG report identifies 40 distinct applied AI roles, each linked to an existing technology position, offering a practical roadmap for workforce transition. For instance, a data scientist or full-stack developer can evolve into a forward-deployed engineer, a DevOps engineer into an AI Ops engineer, and a data engineer into a semantic engineer.

Notably, not all transitions carry the same cost. Moving a data scientist into a forward-deployed engineer role reportedly requires roughly three times the upskilling effort of transitioning a data engineer into an AI data engineer role — a detail that has significant implications for how firms plan and budget workforce transformation programmes.

What This Means for India's Tech Sector

India's technology services industry, home to major global IT firms and a large share of the world's technology services workforce, stands at the centre of this transition. The shift from input-based billing — charging per hour — to outcome-based models is already reshaping contract structures at large outsourcing deals. This comes amid mounting pressure from enterprise clients to demonstrate measurable AI returns, not just AI adoption. For Indian IT majors, the BCG findings reinforce the urgency of upskilling at scale before AI-native competitors capture the highest-margin applied AI contracts.