Tech services firms face a talent decision, not a shortage, in $100-200 billion AI race, says Boston Consulting Group

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Updated - October 30, 2026 10:06 am IST - Bengaluru

Image used for representational purposes only. | Photo Credit: Reuters

AI-led services are expected to add $100-200 billion of net new work by 2030, and technology services firms can staff much of it from people they already employ, according to a report released by Boston Consulting Group (BCG) on Thursday (October 29, 2026).

“Technology services firms do not have an AI talent shortage; they have a talent decision to make.

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,” said Sreyssha George, Managing Director and Partner at BCG and a co-author of the report titled: The Talent Is Already on Your Payroll.

The Clock Isn’t.

BCG analysis has identified 40 distinct Applied AI roles, each linked to an existing technology role.

A data scientist or full-stack developer can grow into a forward-deployed engineer, a DevOps engineer into an AI Ops engineer, and a data engineer into a semantic engineer.

Moving a data scientist into a forward-deployed engineer role takes roughly three times the upskilling effort of moving a data engineer into an AI data engineer role.

According to him, building from within also carries a cost advantage.

Firms that hire against the new titles pay up to roughly 35% over the comparable traditional role.

The report sorts the 40 roles into four groups with a distinct action each: buy the scarce anchor roles, build the scale drivers at volume, retain the delivery core, and watch the early signals.

The decision that turned existing talent into supply was role architecture: a skill taxonomy, proficiency gates, bands and a dedicated job family, so that each Applied AI role has a title, a level and a band attached.

The report also proposed five career tracks from a single role, with lateral moves between them and progression tied to demonstrated capability.

It closes with five questions for leaders to answer this quarter, including whether pay bands and career paths would hold against an AI-native offer.

The findings draw on more than 2,500 AI-tagged job postings and over 50,000 professional profiles across more than 15 firms in addition to BCG’s own proprietary skills database.

The global services market is projected to grow from roughly $1.6-1.7 trillion in 2025 to $2.2-2.4 trillion by 2030.

AI-led services contribute $300-400 billion of that growth through building and running agentic solutions, work that becomes outsourceable as agentic tooling matures, and the human oversight and governance clients may not hand to a model, as per the study.

economy, business and finance / Artificial Intelligence

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