During this round of US corporate earnings, one of the hottest topics on investors' minds has been why technology companies are cutting staff on such a large scale right now.
The leading US online wallet and digital payments player PayPal (PYPL.US) has cut more than 2,000 employees and reduced management roles by more than a quarter, while raising its full-year adjusted earnings per share guidance to about $5.60. The picture most investors see is this: amid a wave of AI agents focused on highly efficient agentic AI workflows, companies have begun using cutting-edge AI to flatten management layers and apply AI to areas such as customer service, and this has come alongside improved profit margins.
Swedish auto giant Volvo Car AB, by contrast, announced another 2,500 job cuts as its quarterly operating loss came in far worse than expected and cash burn doubled year over year, sending its shares down about 24%. The two companies cut a similar number of positions, yet their profit outlooks and market valuations moved in opposite directions — the former showed investors concrete cost savings, while the latter has yet to prove that the money saved is enough to offset the impact of weak sales.
In other words, PayPal raised its earnings guidance while introducing AI customer service and streamlining management, whereas Volvo, facing weak demand and a worse-than-expected loss, is leaning further on AI to cut costs and improve efficiency while launching a new round of layoffs. This divergence in share price performance offers an investment lesson and is also the key to judging the true value of "AI-driven cost reduction."
Take customer service as an example. The metric that matters for investors is how much the total cost of resolving each customer issue falls without any decline in service quality. Complex token costs such as model calls, human review and error rework all need to be included. The number of layoffs itself cannot answer this question. It is especially important to distinguish completed reductions from plans that have not yet been implemented: for instance, Microsoft, one of the leading US enterprise software and cloud computing players, is offering voluntary severance packages to about 60,000 employees — 60,000 is the number eligible for the program, not the number who actually leave.
Tech Layoffs Driven by AI and Cost Pressure Draw Mixed Investor Reactions
As chief executives respond to the full rise of artificial intelligence and the need to use cutting-edge AI to lower operating costs while sharply improving efficiency, investors have received a steady stream of announcements during this earnings season about companies cutting thousands of positions.
A recent earnings-season analysis from Bloomberg Intelligence shows that mentions of job cuts, dismissals and layoffs in earnings-season news coverage have risen again, reaching their highest level since May in October. In Europe, even governments have joined the effort to slim down their workforces, putting more jobs at risk. The latest developments include: Walt Disney preparing to cut thousands of positions. German auto parts supplier Schaeffler said on Tuesday it will cut 3,460 positions in Europe, a move that sent its shares slightly lower.
As the chart above shows, media mentions of layoffs rose in October to their highest level since May. The market's reaction to layoff announcements appears to depend on how investors judge a company's motivation: whether it is proactively adjusting staffing before circumstances change, or reacting urgently under threat. After PayPal and Microsoft announced their plans, their shares each edged higher. By contrast, Volvo Car said it would step up layoffs in response to its sharply shrinking market in China, and its shares tumbled.
"How the share price reacts depends heavily on whether the market believes a company is adjusting from a position of strength, or, like Volvo, acting under enormous pressure," Chris Armstrong, an equity strategist at Berenberg, said in a media interview on Tuesday.
The figures disclosed by several companies show that the scale of workforce reductions is substantial: Microsoft is offering voluntary severance to 60,000 employees, equivalent to a quarter of its workforce; Netflix is cutting 6% of its staff. Barclays is using artificial intelligence to reduce costs and cutting 5,000 positions. Volvo Car's further job cuts involve 2,500 employees.
"Investors should ask one question: is this company cutting jobs to grow, or to stay in business?" said Violetta Todorova, a senior research analyst at Leverage Shares. "A profitable company streamlining management and investing the savings in technology could be good news in the long run. If layoffs are just filling the hole left by falling demand, that is a warning sign and does not solve the underlying problem."
As the chart above shows, shares of Volvo Car and French auto parts supplier OPmobility fell sharply after they announced layoffs; note that reports about Netflix's layoffs were published earlier in October.
Governments are also beginning to embrace the idea that broader use of AI can slim down public payrolls. The Netherlands plans to cut 25,000 civil service positions over the coming years, hoping to save 3.5 billion euros ($3.9 billion) a year through this AI-driven efficiency push.
For Joachim Clement, a strategist at Panmure Liberum, corporate layoffs are another sign that the cycle of rapid revenue and profit growth since the end of the pandemic and the high-inflation period of 2022 is drawing to a close. Earnings growth in 2027 and 2028 may be more modest.
"The easy cost savings have already been taken, and further cost cuts will be harder from here," Clement said. "People are pinning their hopes on AI-driven productivity gains that would let companies increase profits even as revenue growth slows. But we do not yet have evidence that AI is raising productivity outside the technology sector."
PayPal said its headcount had fallen by more than 2,000 and management roles by more than a quarter, and its shares rose after the announcement. By contrast, French auto parts supplier OPmobility cut its full-year profit forecast and announced plans to eliminate 770 positions, sending its shares down by the most in three years.
Data compiled by Bloomberg Intelligence show that the number of S&P 500 companies announcing relatively broad restructurings this earnings season is expected to rise about 20% year over year. In Europe, the pace of such announcements is similar to a year ago.
According to comprehensive dynamic data compiled by Bloomberg Intelligence, with about 70% of S&P 500 companies having reported, 147 companies have disclosed restructuring charges, compared with 178 companies that disclosed such charges in the entire third-quarter earnings season of 2025. At the current pace, the number of MSCI Europe index constituents disclosing restructuring charges is on track to match the 60 companies from a year ago.
"In most cases, layoffs mean companies are becoming leaner and productivity is rising," said Rajiv De Mello, chief investment officer at Gama Asset Management. "However, some industries are under pressure for their own reasons — autos, for example, face competition — and others are more sensitive to interest rate changes. Investors are carefully sorting through companies, focusing on those that can integrate AI into their operations to raise productivity."
Amid the Earnings-Season Layoff Wave, Wall Street Races to Find the Real AI Efficiency Winners
In October, as cloud computing giants saw cash flow turn negative and chip giants tied to the AI infrastructure buildout struggled to meet demanding market expectations after sharp share price gains, the Nasdaq 100 fell about 6.7%, wiping more than $2 trillion from the combined market value of its constituents; the Philadelphia Semiconductor Index dropped about 15.4%, while South Korea's SK Hynix and Samsung Electronics fell 20.2% and 16.2%, respectively.
The selloff spread from US cloud computing giants to Asian memory chip makers, but falling share prices in tandem does not mean their profit outlooks are deteriorating at the same pace. Bill Ackman's Pershing Square is focused on the time gap between spending and returns. Its November 2 shareholder letter noted that through the end of the third quarter, Microsoft, Meta, Amazon and Alphabet had risen an average of only 8% year to date, while the earnings per share growth it listed for this year was about 27%. The four companies' combined 2026 capital expenditure is guided at about $740 billion, and the market expects it to exceed $1 trillion in 2027.
Pershing does not dispute that construction costs are high; rather, it questions whether the market has fully priced in the money new capacity can earn in the future. Take AWS as an example. According to Amazon management's calculations, data center buildings require investment about two years in advance and can be used for more than 30 years after coming online; servers are purchased only close to production start, have a slightly shorter payback period of less than three years, and can be used for at least five to six years.
Since the AI agent wave swept the world this year, enterprise customers have become willing to keep paying for AI services that genuinely cut costs and raise efficiency. If AI agents accelerate their penetration across industries and take a significant share of business operations, this could be the key to converting enterprise operating efficiency gains — led by enterprise application software — into strong revenue and cash flow growth expectations for cloud vendors.
Anthropic's Claude and OpenAI's GPT-6 Astra are changing how technology companies cut costs: in the past, AI could draft a reply for an employee; in agentic AI workflows, agents can check orders, verify refund rules, process refunds within authorized limits, and write the results back into the ticketing system. Similar changes are happening in R&D: Codex, driven by OpenAI's Astra-series AI agents, can trace the cause of a defect report, modify code and run tests.
For day-to-day business operations, the first thing that can be saved is the hours employees spend searching for, transcribing and verifying information across systems. The metric truly worth tracking is: without any decline in resolution rates or service quality, how much has the total cost of resolving each ticket and fixing each defect fallen after accounting for model inference, human review and rework.
European banking giant Barclays offers a sample of how AI is spreading from tech into finance. The bank is expanding its partnership with Anthropic to use Claude to speed up software development and legacy system modernization, and expects half of its developers to be using Claude Code by the end of 2026. At the same time, Barclays plans to cut about 5,000 positions this year, about 60% of which involve support functions such as development. These two sets of numbers measure different things: the former is a tool-adoption target, while the latter is an overall cost-reduction plan, and it cannot be concluded from this that all 5,000 jobs will be replaced by AI. What better demonstrates productivity gains is whether, after slimming down teams, the bank can deliver features faster and maintain more systems while preserving reliability.
This also explains why share prices reacted so differently to layoff news this earnings season. PayPal cut more than 2,000 employees, compressed management roles by more than a quarter and applied AI agents to customer service; in the same period, payment transactions rose 7%, and the company raised its full-year adjusted earnings per share guidance from about $5.38 to $5.60, sending its shares higher. Volvo Car also announced another 2,500 job cuts, but faced weak demand, a much worse-than-expected operating loss and cash burn that doubled year over year, and its shares plunged about 24%.
Wall Street is willing to pay a premium for "fewer people handling more business"; if orders themselves are disappearing, cutting headcount can only reduce losses — it cannot win customers back for a company.
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