India's consulting workforce is being cut and rebuilt at the same time—and nobody's quite ready

2026-06-30 — management consulting India

I spent last week talking to three delivery heads at major consulting firms in Bengaluru. All three were reworking their hiring plans while sitting on layoff lists that hadn't been announced yet. This happens quietly.

The tech industry has shed more than 168,000 jobs globally in the first half of 2026. India's consulting delivery centers are getting hit harder than most people realize because the cuts are so specific. Microsoft cut around 1,100 positions out of its India development and GCC operations in early June. Intel ran layoffs through Bengaluru and Hyderabad—700 roles mostly in client computing and foundry sales. Salesforce reorganized around its Agentforce product and deprioritized about 400 India-based customer success people.

Here's what bothers me.

These aren't random cuts. They're not about overheating or bad quarterly earnings. The same companies burning through mid-level generalists—the enterprise support tier that consulting built over twenty years—are simultaneously paying premium rates for AI engineers and MLOps specialists that don't exist in sufficient numbers. The industry is doing triage without admitting it.

About 80 percent of all Global Capability Centers launched this year came in with an AI-first mandate from day one. Five years ago that number was basically zero. The demand side is clear and it's reshaping the whole sector. GCC hiring data shows that demand for AI roles in India will probably hit one million positions by the end of this year. The trained workforce doing this work right now? More or less 120,000 people across the entire GCC ecosystem.

That gap is not survivable with traditional recruiting.

Sixty-four percent of GCCs now skip campus hiring and go directly to hackathons and internship pipelines instead. They're pulling in fresher talent at the bottom while cutting experienced mid-level people at the middle. Actually, that's not quite right—it's not that they're cutting and hiring simultaneously. It's that they're cutting the old skill ladder entirely and building a new one. The ladder looks different now. Shorter. Steeper.

The sector as a whole still grew. Over 2,100 centers now. 2.3 million professionals. More than $70 billion in annual revenue. May 2026 alone added 22,000 net new roles, almost all in AI and data engineering. So the numbers on the spreadsheet are actually fine. The composition is what's changing faster than firms expected.

If you run delivery out of India, you know which roles are at risk. That's not hard. The genuinely difficult question is whether your mid-level Java developer or middleware architect can actually transition to MLOps in a year, and most of us are not being honest about how hard that really is. Infosys, Wipro, and TCS all announced upskilling programs. Great. But bridging from one stack to another that quickly requires more than a training certificate. It requires aptitude, time, and a company that's willing to carry cost while people reskill. How many are actually doing that?

The data is direct about what's replacing the work. Fifty-six percent of all layoff announcements globally in 2026 explicitly cite AI, automation, or machine learning as the reason. That's not PR language. That's companies being unusually honest about displacement.

India built its consulting edge on two things: lower labor costs and deep skill at scale. The cost advantage still works. The skill depth is what's being tested. How fast the workforce actually pivots toward AI fluency will determine whether India strengthens its position in global consulting supply chains or just quietly loses ground.

We'll know in about two years.