Employment at major U.S. companies has shifted into decline. As artificial intelligence (AI) spreads, cost cuts and workforce redeployment are moving in parallel, producing the first annual drop since 2016.

Cryptopolitan reported on April 27 that total employment at S&P 500 companies was tallied at 28.1 million, down about 400,000 from a year earlier. S&P 500 companies had added more than 3 million jobs over the past 8 years, but the trend changed as AI adoption accelerated.

The drop is seen as the result of companies pursuing cost efficiency and budget redeployment at the same time. Amazon cut about 16,000 corporate jobs, and Meta laid off about 8,000 people. Microsoft proposed voluntary departures for about 8,750 people. UPS cut 48,000, Citigroup 20,000 and Dell Technologies 12,500, widening the overall decline.

A key feature of the layoffs is that, unlike in the past, they are concentrated in white-collar roles. Knowledge-based work such as software development, finance and customer service, as well as accounting and legal research, has also come into the impact zone. Job postings in areas with high AI exposure, including marketing and data analytics, fell 25 to 31 percent in early 2026. The interpretation is that companies are taking a cautious approach to hiring until they confirm AI-driven productivity effects.

Consulting firm Boston Consulting Group projected that 50 to 55 percent of U.S. jobs could be reshaped by AI by 2029. It also presented an analysis that demand for retraining will grow more than simple replacement. Matthew Kropp, a managing director and senior partner, said, "Even if you stay in the same job, the work you do will change," adding, "Many jobs will require retraining and job transitions."

Market reaction is moving differently from employment trends. Meta shares rose about 4 percent after an AI-related layoff announcement. That is seen as a result of a positive assessment of cost efficiency and the shift to AI. Another change cited is that large companies have begun to openly mention AI as the background to restructurings.

Warnings are also emerging. Goldman Sachs assessed that AI-driven layoffs could have a meaningful impact on the 2026 unemployment rate. The reason is that the pace of job replacement could outstrip new job creation. By contrast, a high wage premium is forming for super-users who design and supervise AI-based work.

A contraction in the entry-level labour market is also clear. U.S. employment data shows hiring of entry-level developers has fallen 55 percent over the past 7 years. As AI replaces repetitive tasks such as basic coding, testing and development-structure design, the stage where junior workers built experience is shrinking rapidly. Companies judge they can handle work previously done by 10-person developer teams with about 4 senior staff using AI.

Restructuring is also under way in customer support and back-office areas. Salesforce cut about 4,000 people on the grounds that AI handles more than half of customer interactions. Banks are also shifting toward automating routine transaction processing, account management and cost control, and a projection says about 200,000 roles could be reduced over the next 3 to 5 years.

Legal and marketing fields are not exceptions. About 31 percent of paralegal work centred on document review and legal research is seeing a rising share handled by AI tools. More than 80 percent of digital marketers see a high risk of automation in content-writing roles. Complex decision-making where human judgement is important, debugging and stakeholder negotiations are assessed as relatively limited in impact.

Amid these changes, companies' hiring strategies are appearing to polarise. IBM is cutting some roles in administration and human resources while expanding hiring of highly skilled AI engineers and data-related staff. Even if overall headcount falls, investment is concentrated in core technology and talent.

Workforce reshaping at large U.S. companies is going beyond simple layoffs and is proceeding in a direction that reduces the share of general office jobs and shifts weight toward AI-centred roles. The assessment is that the spread of AI is becoming a turning point that changes the structure of the job market itself.