Speaking on a podcast, Mukherjea pointed to projections linked to a report from ServiceNow suggesting that as many as 18 million Indian jobs could be affected by AI automation by 2030, while only around 3 million new technology jobs may emerge during the same period.
Mukherjea described the figures as a potential net loss of 15 million jobs. However, ServiceNow’s own language states that many of those positions are expected to be “redefined” or transformed by AI rather than entirely eliminated.
Despite that distinction, Mukherjea warned that the disruption could be severe and far more immediate than most workers anticipate.
“Abhi toh yeh trailer hai. Yeh shuruaat hai,” Mukherjea said, describing the layoffs already spreading across the technology sector as only an early glimpse of what could unfold once AI systems become capable of performing digital work at near-human levels.
According to Mukherjea, AI has already achieved nearly 50% human reliability across a range of coding-related tasks. Within the next two to three years, he said, those systems could reach 90% or even 100% reliability across large sections of technology work.
The transition, he argued, is being driven by an unprecedented surge in AI spending from hyperscalers including Microsoft, Amazon, Alphabet, Apple and Anthropic.
Mukherjea claimed those firms have collectively doubled AI capital expenditure over the last 12 months, investing nearly $800 billion into AI infrastructure, chips, data centers and large language model training.
“That’s 25% of Indian GDP,” he noted.
Mukherjea said the biggest shift in recent months is that hyperscalers are now beginning to witness explosive revenue growth from those investments.
“I think tipping point aa gaya,” he said, pointing to exponential AI revenue growth over the past three to four months.
He cited Anthropic as a major example, claiming enterprise revenue linked to its Claude AI platform rose from nearly $1 billion in early 2025 to almost $30 billion in annualized run-rate revenue within just 15 months.
“That’s economies of scale. That’s takeoff. That’s tipping point,” Mukherjea said.
The rapid expansion of AI revenues, he warned, now gives hyperscalers even stronger incentives to automate aggressively and reduce labor costs at a faster pace.
Mukherjea also referred to an EY survey showing that 58% of Global Capability Centers in India are already investing in agentic AI, while more than 80% are investing in generative AI. The survey further found that 24% of tasks inside GCCs are already fully automatable and another 42% can be significantly augmented by AI systems.
“If I was running a GCC, those 24% tasks which are fully automatable, I would immediately say there should be no human doing this work anymore,” he said.
The warning underscores growing concerns across India’s white-collar economy as AI adoption accelerates at an unprecedented pace, raising fears that automation may fundamentally reshape employment patterns long before workers and industries are prepared for the transition.
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