AI-Driven Productivity Gains, Shrinking Jobs: Corporate Hiring Playbook Is Changing

As AI spreads, corporate productivity is rising even as existing jobs and workforce demand are being reshaped in earnest. Generative AI and AI agents are replacing repetitive tasks, improving operational efficiency, while Reuters and other foreign outlets have reported that slim-down efforts and layoffs are also spreading, led by Big Tech.

Against this backdrop, Microsoft announced a voluntary retirement program on Oct. 26. The program covers about 60,000 people, or roughly 27% of the company's 223,000 employees. The employee count is based on the end of June 2026.

The program offers retirement support and career transition benefits to employees in some organizations in the U.S., Canada, the U.K., and India. Microsoft said the program is different from a simple early retirement package.

Eligibility was determined based on each organization's business priorities and workforce demand. The eligible level is 70 and below internally, and the participating organizations are Copilot and AI Experiences, finance, human resources, Xbox, Windows, and Devices. The data center organization was excluded.

The measure was not applied uniformly across all organizations; the data center, sales, marketing, and some engineering organizations were excluded from this round. Eligible employees must decide whether to participate by the first week of December, and the retirement support package includes compensation reflecting tenure and seniority, along with career transition assistance. The 60,000 figure mentioned in the article refers to the number of employees eligible to apply for the program, not the number who will actually leave.

The move is tied to Microsoft's workforce reorganization this year. Microsoft implemented a voluntary retirement program for about 8,750 employees in the U.S. last April, and more than 30% of eligible employees participated in that program. Then in July, it eliminated 4,800 jobs, or about 2.1% of its global workforce. In May 2025, about 6,000 jobs were cut, and in July 2025 about 9,000 more were eliminated, bringing total layoffs in 2025 to 15,000.

Microsoft is not only pursuing workforce reductions but also pushing ahead with role changes for existing employees while reconfiguring its organization. Amy Coleman, the Chief Human Resources Officer, said in a July announcement that more than 4,000 people had been reassigned to new roles over the previous year, describing it as a shift toward areas with higher business priority rather than simply a smaller workforce. Microsoft's restructuring approach combines voluntary retirement, job reassignments, and cuts at individual organizations.

Behind these changes are massive investments in the AI industry and the challenge of securing profitability. Microsoft expects capital expenditures of about USD 175 billion in 2026, and the large sum is being directed toward AI model development and infrastructure expansion, including data centers, servers, and GPUs for service operations. Satya Nadella, Microsoft's CEO, said at the company's fiscal 2026 fourth-quarter earnings release that Microsoft added 31 data centers in that quarter and expanded 88 data centers on an annual basis, in order to quickly scale data center capacity to meet AI demand.

As AI infrastructure investment expands, the capital burden required to build data centers also grows, increasing the need to change corporate cost structures. Building data centers requires GPUs, CPUs, networking equipment, power, cooling facilities, and land acquisition, all of which demand enormous capital. As a result, larger investment commitments are pushing companies to improve the efficiency of other cost items, including operating expenses and labor costs. Companies face the challenge of securing room for investment in AI business growth while maintaining profitability.

These changes are extending beyond cost structures to the way work itself is done. Generative AI and AI agents can handle document writing, data analysis, customer support, software development, and some internal administrative tasks, all of which are areas that existing employees previously handled in part. As a result, AI adoption is changing companies' demand for labor. Repetitive work that used to be shared by multiple employees can be automated with AI tools, while a small number of specialized workers can use AI to expand the volume of work they process.

There is growing concern that the adoption of AI will lead not just to simple task support, but to a shift in how organizations are run. In the past, it was common to hire more people as workloads increased, but in the future, adopting AI systems and raising the productivity of existing workers is emerging as an alternative.

In that case, companies can increase the likelihood of handling more work with the same number of employees. At the same time, they can also expand the room to run their businesses without keeping their existing headcount unchanged.

Microsoft acknowledged this shift. In a message to employees last July, Chief Human Resources Officer Coleman said the jobs affected by layoffs at the time were not replaced by AI, but added that AI is changing the way work is performed.

She also said some routine tasks may be automated and that employees need to learn new skills and adapt to change. While distancing the company from the interpretation that AI is the direct cause of layoffs, Microsoft did acknowledge that work automation and role changes are officially under way.

Microsoft's voluntary retirement program included both AI organizations and existing business units. The Copilot and AI Experiences division is one of Microsoft's key growth businesses, but that AI organization did not uniformly expand headcount either. The move is therefore being interpreted as a realignment of required capabilities and organizational size to match the growth of the AI business. It shows that even companies developing AI are seeking a new work structure beyond their traditional workforce management methods.

This trend is not unique to Microsoft. Global technology companies continue to cut staff as they expand AI investment and shift their business structures. Major Big Tech companies, including Amazon, have announced large-scale workforce adjustments this year. Some companies have cited AI-based automation and organizational efficiency as reasons for restructuring. As AI competition intensifies, companies are concentrating resources on technology development and infrastructure investment, and more cases are emerging in which they are reviewing workforce demand in existing businesses and organizations.

It is difficult to conclude that AI alone is the direct cause of layoffs. Layoffs are influenced by factors such as weak business performance, market changes, organizational overlap, and cost reduction. Microsoft also explained that this retirement program is a measure to respond to changing workforce demand across business units.

At the same time, AI is replacing repetitive work and expanding the range of tasks one employee can handle. Accordingly, the size and capabilities of the workforce companies require are also changing.

The growth of the AI industry is producing both new jobs and the reduction of existing ones. An industry expert said new workforce demand is emerging in AI models, data centers, semiconductors, and power infrastructure. The expert also said that automation in existing industries is increasing pressure for role changes and workforce reductions, and assessed that AI competition has moved beyond technology and investment scale to a stage where corporate employment structures are changing.

As AI becomes established as a key tool for improving corporate productivity, the skills needed in the labor market and the types of jobs available are also expected to change rapidly, and an unidentified speaker added to the earlier remarks that the spread of AI will bring changes in the labor market's skills and jobs.

Source: TECHWORLD · Park Gyu-chan
Original: https://www.epnc.co.kr/news/articleView.html?idxno=409484

References

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