"Layoffs" become a key word this earnings season! From PayPal to Volvo, Wall Street begins to distinguish AI-driven efficiency gains from passive contraction

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19:19 03/11/2026
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GMT Eight
Due to the rise of artificial intelligence and the need to cut costs, CEOs of various companies have been announcing layoffs of thousands of employees to investors this earnings season. An analysis by Bloomberg Intelligence shows that topics related to layoffs, dismissals, and job cuts have once again become hot spots in news reports, with mentions in October reaching their highest level since May. In Europe, even governments are exacerbating the loss of jobs.
"Layoffs" become a key word this earnings season! From PayPal to Volvo, Wall Street begins to distinguish AI-driven efficiency gains from passive contraction It has been observed that one of the hot topics investors have continued to focus on this US earnings season is arguably why tech companies are carrying out large-scale layoffs at this very moment. PayPal (PYPL.US), the US leader in online wallets and digital payments, has cut more than 2,000 employees and reduced management positions by more than a quarter, while raising its full-year adjusted earnings per share guidance to about $5.60. The picture investors generally see seems to be this: under the AI agent frenzy focused on highly efficient agentic AI workflows, companies have begun using cutting-edge AI technology to compress management layers and apply AI to areas such as customer service, already accompanied by margin improvement. Swedish auto giant Volvo Car AB, meanwhile, announced a further 2,500 job cuts amid quarterly operating losses far exceeding expectations and cash burn doubling year-on-year, and its shares unexpectedly plunged about 24%. The two companies cut a similar number of positions, yet their earnings prospects and market valuation outlooks point in different directionsthe former showed investors the results of cost savings, while the latter has yet to prove that the money saved is enough to offset the impact of weak sales. That is, PayPal raised its earnings guidance while introducing AI customer service and streamlining management; Volvo, facing weak demand and worse-than-expected losses, is further using AI to cut costs and improve efficiency as well as launching a new round of layoffs. The investment takeaway from this share-price divergence is also the key for investors in judging the true value of "AI cost reduction." Take customer service as an example: the meaningful metric is how much the total cost of resolving each customer issue has fallen without any decline in service quality; complex token costs such as model calls, human review and error rework metrics all need to be included. The number of layoffs itself cannot answer this question. In particular, a distinction must be made between completed cuts and plans not yet implemented: for example, Microsoft Corporation, one of the US leaders in enterprise software and cloud computing, is offering voluntary severance packages to about 60,000 employees60,000 is the number eligible to accept the package, not the number who have actually left. Tech companies cut jobs this earnings season due to AI and cost pressures, and investors react differently As CEOs respond to the full rise of artificial intelligence and the need to use cutting-edge AI technology to lower operating costs while sharply improving operating efficiency, investors have received a succession of announcements this earnings season that companies are cutting thousands of positions. A latest earnings-season analysis report from Bloomberg Intelligence shows that mentions of job cuts, dismissals and layoffs in recent earnings-season news reports have risen again, reaching the highest level since May in October. In Europe, even governments have joined the ranks of trimming headcount, putting more jobs at risk. The latest developments include: The Walt Disney Company is preparing to cut thousands of positions. German auto parts supplier Schaeffler said on Tuesday that it will cut 3,460 positions in Europe, news that sent its shares slightly lower. As shown in the chart above, the number of news media mentions of layoffs rose in October to the highest level since May. The market's reaction to layoff announcements appears to depend on how investors judge companies' motives: proactive workforce adjustments ahead of changing conditions, or emergency action forced by threats. Shares of PayPal and Microsoft Corporation both rose slightly after each announced its plans. By contrast, Volvo Car said it would step up job cuts in response to its sharply shrinking market in China, and its shares immediately plunged. Chris Armstrong, equity strategist at Berenberg Bank, said in a media interview on Tuesday: "How a stock reacts depends largely on whether the market believes the company is proactively adjusting from a position of strength, or, like Volvo, acting under enormous pressure." Figures disclosed by several companies show that headcount reductions are substantial: Microsoft Corporation is offering voluntary severance packages 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. Violetta Todorova, senior research analyst at Leverage Shares, said: "Investors should ask one question: is this company cutting jobs to grow, or to stay in business? A profitable company streamlining management layers and investing the savings in technology could be good news in the long run. If layoffs are only meant to fill the gap left by falling demand, that is a warning sign and does not solve the fundamental problem." As shown in the chart above, shares of Volvo Car and French auto parts supplier OPmobility fell sharply after they announced layoffs; note: reports on Netflix's layoffs were published earlier in October. Governments are also beginning to embrace the idea that broader use of AI can streamline public-sector staff. The Netherlands plans to cut 25,000 civil service positions in the coming years, hoping to save EUR3.5 billion (US$3.9 billion) a year through this AI-driven efficiency effort. To Panmure Liberum strategist Joachim Klement, corporate layoffs are another sign that the cycle of rapid revenue and profit growth since the end of the COVID-19 pandemic and the high-inflation period of 2022 is coming to an end. Earnings growth in 2027 and 2028 may be more moderate. Klement said: "The easy cost savings have already been made, and further cost cuts will be harder going forward. People are pinning their hopes on productivity gains from AI enabling companies to increase profits even as revenue growth slows. But we have no evidence yet that AI is raising productivity outside the tech sector." PayPal said its headcount has fallen by more than 2,000 and management positions 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 cut 770 positions, and its shares posted their biggest drop in three years. Data compiled by Bloomberg Intelligence show that the number of S&P 500 constituent companies announcing relatively broad restructurings this earnings season is expected to rise about 20% year-on-year. In Europe, the pace of such announcements is similar to a year earlier. Comprehensive dynamic data compiled by Bloomberg Intelligence show that with about 70% of S&P 500 constituents having reported, 147 companies have disclosed restructuring charges; by comparison, 178 companies disclosed such charges in the entire third-quarter earnings season of 2025. At the current pace, the number of MSCI Europe constituent companies disclosing restructuring charges is on track to match the 60 a year earlier. Rajiv De Mello, chief investment officer at Gama Asset Management, said: "In most cases, layoffs mean companies are becoming leaner and productivity is improving. However, some industries are under pressure for their own different reasons, such as the auto industry facing competition, and some industries are more sensitive to interest rate changes. Investors are carefully screening companies, focusing on those that can integrate AI into their operations to raise productivity." Amid the earnings-season layoff wave, Wall Street accelerates its search for the real AI efficiency winners In October, as cloud computing giants saw negative cash flow and chip giants linked to the AI infrastructure buildoutfollowing the surge in share pricesstruggled to meet the market's demanding expectations, the Nasdaq 100 fell about 6.7%, with the combined market value of its constituents evaporating more than US$2 trillion; the Philadelphia Semiconductor Index fell about 15.4%, and 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 these companies' earnings prospects are deteriorating at the same pace. What Ackman's Pershing Square is focused on is the time gap between spending and returns. Its November 2 shareholder letter noted that as of the end of the third quarter, shares of Microsoft Corporation, Meta, Amazon.com, Inc. and Alphabet had risen only 8% on average this year, while the earnings-per-share growth it listed for this year was about 27%. The four companies' capital expenditure for 2026 is guided at a combined total of about US$740 billion, and the market expects it to exceed US$1 trillion in 2027. Pershing does not question that construction costs are high, but whether the market has fully priced in the money the new capacity can earn in the future. Take AWS as an example: according to Amazon.com, Inc. management's estimates, data center buildings require investment about two years in advance and can be used for more than 30 years once operational; servers are procured only close to when they enter production, with a payback period slightly shorter than three years and a useful life of at least five to six years. Since the AI agent frenzy swept the world this year, enterprise customers have begun to be willing to pay continuously for AI services that truly reduce costs and improve efficiency. If AI agents accelerate their penetration into various industries and occupy a significant share of corporate operations, this could be the key to translating enterprise operating efficiency gainsled by enterprise-level business application softwareinto expectations of strong revenue and cash flow growth for cloud providers. Anthropic's Claude and OpenAI's GPT-6 Astra are changing the way tech companies cut costs: in the past, AI could write a reply on an employee's behalf; in agentic AI workflows, agents can check orders, verify refund rules, process refunds within authorized limits, and then write the results back to the ticketing system. R&D is seeing similar changes: Codex, driven by OpenAI's Astra series AI agents, can trace causes from defect reports, modify code and run tests. For companies' day-to-day operations, the first thing that can be saved is the work hours employees spend searching for, transcribing and verifying information across systems. The metric truly worth tracking is: without any decline in resolution rates and service quality, and after including model inference, human review and rework, how much the total cost of resolving each ticket and fixing each defect has fallen. European banking giant Barclays PLC Sponsored ADR offers a sample for observing how AI is spreading from the tech sector to finance. The bank is expanding its partnership with Anthropic to use Claude to accelerate 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, the latter an overall cost-reduction plan, and it cannot be concluded from this that all 5,000 positions have been replaced by AI. What better demonstrates productivity improvement is whether, after streamlining 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, reduced management positions by more than a quarter and applied AI agents to customer service; in the same period, payment transaction volume grew 7%, and the company also raised its full-year adjusted earnings per share guidance from about $5.38 to $5.60, sending its shares higher. Volvo Car likewise announced about 2,500 more job cuts, but faced weak demand, operating losses far exceeding expectations and cash burn doubling year-on-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 being lost, reducing headcount can only reduce lossesit cannot win customers back for a company.