Insights · Topic
AI in the workplace
What’s actually changing in how GCC work gets done — read from live mandate data, not a trend deck.
The roles AI is quietly creating inside GCCs
Not the ones in the headlines. The senior seats that appear when a function moves from doing the work to governing it.
Hiring for judgment when everyone can use the tools
When the skill is commodity, the differentiator is knowing where to apply it. How to assess for that.
Most GCC AI pilots stall at the same place. Here’s why.
We mapped twenty-two GenAI rollouts inside Indian GCCs. The failure mode is consistent — and it isn’t the technology.
GenAI hires aren’t the same as AI/ML hires. Most JDs miss it.
Three distinct profiles being confused for one. The mis-hire rate is predictable. The fix is upstream of recruitment.
Why the org chart lags the real change
Task composition moves quarters before headcount does. Reading the lag is where hiring plans get an edge.
Where AI belongs in a regulated pharma workflow — and where it doesn’t
The judgment call that decides whether a pilot survives audit. Who owns it, and how they’re hired.
The Science of Hiring: what AI changed about the senior bench
A working GCC head on which decisions they now hand to AI, which they kept, and how the team changed.
The AI-assisted engineer is a different hire, not a cheaper one
ER&D centres that budgeted AI as a productivity discount are missing the seniority shift underneath it.
Five minutes: how AI is re-shaping the GCC skill bar
A quick, chart-led walkthrough of what’s rising, what’s fading, and what it means for your next req.
BFSI GCCs are hiring an ‘AI risk’ layer no one budgeted for
A new seat between the model and the regulator. Where it reports, and why it’s hard to fill.
The skills index: what GCCs actually paid for AI talent this quarter
Band-by-band movement across IT and AI & Data roles, drawn from placements closed in Q1.
AI changes the tasks first, the titles last
The role looks the same on the org chart. The work inside it doesn’t. Reading that gap early is the whole game.
Nothing matches those filters yet.
Try removing one, or browse another topic from the filter bar.
How many jobs will AI create by 2030?
AI and broader structural forces are projected to create 170 million new jobs and displace 92 million by 2030 — a net gain of about 78 million — according to the World Economic Forum’s Future of Jobs Report 2025. The same report finds 39% of workers’ core skills will change by 2030, and that 85% of employers plan to prioritise upskilling.
The net-positive headline gets quoted everywhere. The number that matters more for anyone running a GCC is the 39%: it isn’t that roles disappear, it’s that the work inside them changes underneath the same job title.
The Recruise read. When 39% of core skills shift, the org chart lags the real change — task composition moves quarters before headcount does. At the senior level this reshapes what you screen for, not just how many you hire. The differentiator stops being who can use the tools and becomes who has the judgment to know where to apply them. That’s the assessment shift most JDs haven’t caught up to yet.
Hiring for judgment when everyone can use the toolsHow big is India’s AI talent gap?
India’s demand for AI talent is projected to exceed 1.25 million by 2027 — up from roughly 600,000–650,000 in 2022 — against a shortfall of about 50% in 2024, according to the Deloitte–Nasscom report “Bridging the AI Talent Gap.” Nasscom estimates only around 16% of India’s IT professionals are AI-skilled.
A demand figure this large, met by a supply base this thin, is exactly the gap GCCs are staffing into. But the public numbers count practitioners — engineers and data scientists — not the people who run them.
The Recruise read. Everyone counts engineers; almost nobody counts the leaders. The scarcer role isn’t the AI/ML practitioner — it’s the person who can actually own an AI-heavy function, set its guardrails, and answer to a regulator for its decisions. That leadership-scarcity layer sits above the 1.25 million and is where our senior-mandate data starts.
The ‘AI risk’ layer no one budgeted forThe AI-and-work questions.
The forecasts everyone cites — and the senior-hiring implication underneath them that most job descriptions still miss.
How many jobs will AI create by 2030?
How big is India’s AI talent gap?
Will AI reduce the number of people GCCs hire?
What does the AI talent gap mean for senior hiring?
One pattern worth knowing, every week.
Thursday morning. Five minutes. Our weekly read on the senior GCC talent market — including how AI is reshaping it. One chart, one pattern, no noise.
If AI and work brought you here, these are usually the next questions.
The future of GCC hiring
Where this market is going, and which parts of the current playbook won’t survive the next three years.
Workforce management
Planning a workforce when the shape of the work is moving under you.
Talent & recruitment
The mechanics of hiring well in a market that rewards speed over judgment. The judgment part.