Microsoft introduced a voluntary exit offer for eligible employees in India and three other countries on Monday. The company is using these buyouts to reshape its workforce as business priorities shift toward AI. Madhu Peravalli said, “Buyouts offer a relatively graceful way to reset costs and redirect investments.”
Microsoft has introduced a voluntary exit offer for eligible employees in India and three other countries, signalling how technology companies are using buyouts to reshape their workforces amid shifting business priorities and rising investments in AI.
In a communication shared across Microsoft by Amy Coleman, Executive Vice President and Chief People Officer, on Monday, the Voluntary Exit Offer is for eligible employees considering a future outside the company. It builds on lessons from the voluntary retirement programme earlier this year.
The time-limited voluntary exit programme will cover eligible employees at level 70 and below in participating teams across Canada, India, the UK and the US, offering financial support and career planning resources. Participation will depend on business priorities, customer commitments and workforce needs.
Different Growth
A Reddit user — a Software Engineer with 9 years of experience — shared their anxiety about this development: “Layoffs have been going on since 2022; infinite money is being dumped into AI, which hasn’t proved to be profitable, and yet, everyone is trying to achieve non-existent AI efficiency. I keep thinking about what I would do if my company announces something like this or if i’m just simply laid off. I do not know anything else except software engineering.”
Big Tech hired aggressively for a different growth cycle, explained Madhu Peravalli, Founder & CEO, Troogue.ai. These priorities are changing, with companies questioning whether their structures are as efficient as they should be.
“Buyouts offer a relatively graceful way to reset costs, remove unnecessary layers, and redirect investments. I wouldn’t see this as a crisis. The interesting risk is your best people may be the first to accept since they probably have more options,” he said.
AI Transition
Shailesh Khanna, Business Lead, ManpowerGroup India, elaborated that buyout offers are generally not just cost-cutting exercises. They allow companies to reduce labor costs without immediate large-scale layoffs. At large tech companies like Microsoft and Google, buyouts are increasingly being used as a workforce-shaping tool during the AI transition.
Factors driving these buyouts include funding massive AI investments, shifting skills, and increasing productivity expectations through AI.
“Both Microsoft and Google are spending unprecedented amounts on AI infrastructure and model development. Microsoft said it expects roughly $175 billion in AI-related capital expenditure in 2026, while expanding infrastructure for services supporting OpenAI, Anthropic, Copilot, Azure AI, and other workloads. Google has similarly been under pressure to fund AI investments while improving efficiency and maintaining profitability,” he noted.
Dignified Runway
Buyouts are also attractive as they reduce legal and reputational risks, minimise the impact on employee morale, offer severance and benefits to departing workers, and enable voluntary attrition before forced layoffs become necessary.
“By providing a structured severance package, typically linked to tenure alongside extended health coverage and outplacement support, companies offer eligible mid-to-senior professionals a planned, dignified runway. This gives impacted employees the flexibility to upskill, transition into new technology domains, or explore adjacent growth sectors without immediate financial pressure,” Aditya Narayan Mishra, MD and CEO of CIEL HR, shared.
Layoffs provide immediate, abrupt cost reductions, whereas voluntary exit programs require an initial severance outlay. However, buyouts offer long-term cost optimisation with significantly lower operational friction, reduced legal exposure, and minimal impact on employer brand equity.
Realignment
This trend, Mishra added, reflects a broader structural shift across the technology ecosystem. As traditional, routine engineering and legacy administration roles are streamlined or automated, organisations are actively realigning investments toward high-value domains. Demand is concentrated in GenAI Engineering, AI/ML, Cloud Engineering, Cloud Transformation, Cybersecurity, Data Engineering, and Automation.
According to Neeti Sharma, CEO, TeamLease Digital, AI hiring in India grew 16 per cent even as overall IT job postings fell 3 per cent, showing where demand is shifting. However, only 16 per cent of India’s IT workforce has meaningful AI skills.
“Some traditional roles will shrink, but demand is growing for AI, cloud, cybersecurity and product engineering. Around 25 per cent of the 37,000 roles we analysed fall into premium roles that are growing. The focus now has to be on reskilling people and moving them into these emerging opportunities. It is not just about fewer jobs, but about a shift in the kind of jobs and skills the industry needs,” she said.
Sidharth Thakur, Director & CEO, Grassik Search, said that Google has run at least three rounds of voluntary exit programmes in the past year, each time asking employees to be “all in” on the AI pivot or step aside. These companies are reshaping their cost structures to fund a different workforce, smaller, more technically specialised, and built around AI-native capabilities. The voluntary framing makes the process smoother, but the strategic intent is the same as a layoff: reduce headcount in roles that no longer align with where the business is headed.
“Companies are no longer experimenting with AI on the side; they are reorganising entire business units around it. New graduates now make up barely seven percent of Big Tech engineering hires, down from over thirty per cent in 2019. That is a telling signal. The industry is not just cutting roles; it is rebuilding around a fundamentally different operating model where fewer people, supported by AI, deliver more,” he said.