AI Tops US Layoffs for a 4th Month. The Gulf Bets Early

For four months running, artificial intelligence has stopped being just one of several reasons US companies cite for cutting staff. It has become the single most common reason given, something Challenger, Gray & Christmas, the outplacement firm that tracks layoff announcements, has never recorded since it started treating AI as its own category back in 2023. The number behind that sentence is not small. More than 100,000 US jobs have been tied directly to AI this year alone, according to the firm's data as reported by Bloomberg and other outlets.

This is not the shuttered factory floor that automation debates used to conjure. The roles disappearing this time sit mostly behind desks: junior accountants, customer service representatives, software developers early in their careers, administrative support staff inside banks and insurers. JPMorgan Chase, Citigroup and Goldman Sachs, established financial institutions rather than scrappy startups, have all pointed to AI explicitly when explaining headcount reductions this year.

The deeper story here is not the headline figure itself. It is who gets hit first. People trying to enter the workforce for the first time, fresh graduates with new degrees, are finding that the bottom rung of the career ladder their parents climbed steadily is simply not there in the same shape anymore. While these numbers dominate American business headlines, Gulf states, which watched previous waves of automation from a distance without feeling much of the impact given economies anchored in public sector employment and energy, find themselves in a genuinely different position this time. They are betting ahead of the curve, with billions of dollars committed, that their own citizens will be ready before that same wave reaches Riyadh, Abu Dhabi and Doha.

The quarterly numbers reveal an uncomfortable trend. In the first quarter of 2026, US companies announced 217,362 jobs targeted for cuts. That climbed to 226,242 in the second quarter, a modest 4 percent increase between the two, according to Challenger, Gray & Christmas's monthly reports. That relative stability at the quarterly level hides more volatile monthly swings. May alone saw 97,006 job cuts, while June dropped to just 45,849, a 53 percent decline in a single month.

The number that matters most is not the total, though. It is the stated reason behind it. For the fourth consecutive month, artificial intelligence topped the list of reasons companies cite when announcing layoffs, the first time since the firm began tracking that specific category in 2023 that a single reason has held the top spot this long. John Challenger, the firm's CEO, has described the pattern as unprecedented in the company's records.

What makes this figure worry policymakers more than a passing statistic is how it lines up with independent data. Barclays economist Pooja Sriram points out that the financial and information sectors are losing roughly 28,000 jobs a month on average through 2026, close to an entire small town's worth of workers leaving the labor force every month, from just two sectors.

If the aggregate numbers feel abstract, the sector breakdown shows exactly where the pain concentrates. Of the 443,604 job cuts US companies announced during the first half of 2026, the tech sector alone accounted for roughly 31 percent, nearly a third of every layoff in the entire American economy, despite the sector representing nowhere near that share of total employment.

The more telling number is the year over year comparison. Tech layoffs hit 139,156 during the first half of 2026, against just 76,214 in the same period of 2025, an 83 percent jump in a single year. This is not the sector's usual cyclical wobble. It is a clear acceleration that lines up directly with the four months in which AI has topped the list of stated layoff reasons.

The paradox is that this is happening inside a sector posting record profits at the same time. The companies cutting staff are not financially struggling. Some announce their highest revenue in company history on the very same day they announce new layoffs, a pattern this report returns to later because it changes how we should understand why these cuts are happening in the first place.

The financial sector offers a sharper example than tech of what this shift actually looks like. JPMorgan Chase, Citigroup and Goldman Sachs, three of the largest banking institutions in the world, have all pointed to AI as a direct factor in workforce restructuring decisions this year. These are not startups experimenting with new tools. They are institutions that have operated for decades and accumulated enormous volumes of operational data, which makes applying AI to their processes faster and its effects clearer than in almost any other sector.

The US Bureau of Labor Statistics offers context for why the shift starts precisely here. Office and administrative roles make up about 25 percent of total employment within the financial activities sector, including customer service representatives, bank tellers and insurance claims processors. This specific category is projected to see the largest employment decline of any occupational group the bureau tracks over the coming decade.

Ryan Nunn, director of research at the Yale Budget Lab, points to something deeper than routine seasonal cost cutting in this pattern. Financial firms are not waiting for AI to fully prove itself before redesigning their organizational structure around it. They are moving preemptively, based on projected future productivity rather than the tools' actual current performance.

Nowhere does the impact show up more clearly than in the job market for new graduates. Stanford's 2026 AI Index documents a 20 percent decline in employment among software developers aged 22 to 25 compared with 2024 levels, while hiring for developers over 26 kept growing during the same period. The gap here is not random. AI coding tools have become capable of handling the routine tasks traditionally assigned to junior staff as their first step into the profession.

Goldman Sachs research published in April 2026 puts a precise number on this shift across the whole US economy. AI eliminates roughly 25,000 jobs a month while creating only about 9,000 new ones, a net loss of close to 16,000 jobs monthly, which has pushed the overall unemployment rate up by 0.1 percentage point. The gap between eliminated and created jobs is not symmetrical in kind either. The new roles typically require advanced skills in designing and managing AI systems themselves, while the eliminated roles were the natural entry point for any new graduate.

Boston Consulting Group projects this effect could eventually touch as much as 15 percent of total US employment over the next five years. Greg Daco, chief economist at EY-Parthenon, notes that only about 10 percent of firms are actually using AI to produce their goods or services so far, meaning the current impact, sizable as it already is, remains relatively early stage.

On May 14, 2026, Cisco announced it was cutting 4,000 jobs. On that exact same day, the company reported record quarterly revenue of 15.8 billion dollars, up 12 percent year over year. That timing is not an isolated coincidence. Meta cut 8,000 jobs in May while posting quarterly revenue of 56.3 billion dollars, up 33 percent year over year, and simultaneously raised its 2026 capital expenditure guidance to a range of 115 to 145 billion dollars. Microsoft reported fiscal third quarter revenue of 82.9 billion dollars and operating income of 38.4 billion dollars, up 18 and 20 percent respectively. Google Cloud grew revenue 63 percent during the first quarter of 2026.

This pattern flips the traditional logic of layoffs on its head. Historically, job cuts signaled financial trouble or softening demand. Here, the most profitable companies are the same ones cutting the most staff, because they are redirecting capital away from payroll and toward computing infrastructure. Four major cloud computing companies alone committed to roughly 700 billion dollars in combined capital spending during 2026, a figure that comes close to doubling what they spent the year before.

A Gartner survey of more than 350 companies with revenue above 1 billion dollars found that around 80 percent had cut headcount tied to AI adoption, but the survey found no clear difference in actual return on investment between companies that cut deeply and those that cut lightly. That raises a question none of these companies has publicly answered yet: are these layoffs built on a proven AI effect, or on an anticipated one that has not fully materialized?

That question matters specifically for Gulf investors. Gulf sovereign wealth funds have poured billions of dollars into these same companies' shares in recent years, betting that today's massive capital spending eventually converts into real operating returns. If it turns out that some of the current layoffs rest on inflated expectations of AI productivity rather than a proven effect, any resulting market correction will not stay confined to Wall Street. It will show up directly in the value of these same Gulf holdings.

The legal gap here is stark. The US Worker Adjustment and Retraining Notification Act, in effect since 1988, requires companies to give 60 days' notice before a mass layoff, but it does not require them to disclose the actual reason behind the decision. That means a company can lay off thousands of workers because of new AI tools without any legal obligation to say so explicitly, a loophole lawmakers have recognized relatively late compared with how fast the underlying shift has moved.

At the federal level, two bills remain under consideration. The AI Workforce PREPARE Act would amend the WARN Act to require companies to disclose AI's role in layoff decisions, while the No Robot Bosses Act aims to guarantee human oversight in AI-linked hiring and firing decisions. Neither has passed yet. California moved unilaterally: an executive order the governor signed in May 2026 calls for a 180-day review of the state's own WARN Act, while a separate bill requiring 90 days' notice for layoffs of 25 or more workers tied to AI remains stalled in the state senate.

Meanwhile, the private sector has moved independently of government. An initiative called RAISE US, launched by a group of major tech companies on June 25, 2026, backed by Amazon, Anthropic, Microsoft and the OpenAI Foundation, has raised more than 500 million dollars toward a 1 billion dollar goal, earmarked for retraining programs for affected workers. That private funding, sizable as it is, remains a voluntary response rather than a legal obligation, a distinction likely to determine how durable it proves if these same companies' profit growth eventually slows.

While American headlines lead with the AI layoff crisis, Saudi Arabia's General Authority for Statistics is publishing numbers that, at first glance, look distant from that same anxiety. National unemployment stood at 6.4 percent in the first quarter of 2026, and female unemployment specifically dropped to 9 percent, a historic low for the kingdom, out of a total population of 37.6 million. These figures come out of a completely different trajectory than the American one. An economy that historically leaned on public sector jobs and expatriate labor is now moving through an expansion phase in domestic employment, not a contraction.

Yet Saudi Arabia itself frames this achievement as only the first stage, not a finish line. Vision 2030 is officially split into two phases. Phase One ran from 2016 to 2026 and focused on cutting unemployment and expanding opportunity, particularly for women. Phase Two, which is effectively beginning now and runs through 2040, formally shifts focus away from numerical quotas toward labor productivity, AI adoption, leadership development, advanced technical skills and higher value private sector employment.

That shift in priorities is not a bureaucratic footnote. Olivier Badard, CEO of Armada Holding, describes full workforce nationalization as something that will take a generation or two, despite all the rapid progress achieved so far under Vision 2030. In other words, Saudi Arabia and the Gulf more broadly are not really racing against AI so much as racing against time itself: building a national workforce capable of working alongside AI tools before the displacement wave hitting Washington and New York reaches Riyadh and Abu Dhabi at the same scale.

The most important intersection in this report happens right here. At the exact moment Gulf states are tightening workforce nationalization rules, they are simultaneously investing in arming their citizens with AI skills, trying to solve two problems at once rather than one. In Saudi Arabia, Microsoft, working with the Saudi Data and Artificial Intelligence Authority, announced a target of training three million people in AI skills by 2030, with more than one million already enrolled in AI, cloud and data management programs as of February 2026, over 800,000 of whom had actually completed training.

The Samai initiative alone trained one million Saudis in AI fundamentals, using a curriculum Microsoft contributed two thirds of. The company's AI Academy, run jointly with the authority, logged more than one million enrollments. A dedicated teacher program targets more than 500,000 educators, with over 109,000 already supported. Even government employees were not left out. The Digital Government Authority upskilled 1,000 government staff in a single quarter alone.

In the UAE, similar initiatives run through the Tamkeen program, which specifically targets young Emiratis with AI skills, inside a broader legislative framework known as Emiratisation that imposes mandatory private sector quotas for hiring nationals. The fundamental difference between this Gulf approach and the American one is timing. Rather than waiting for displacement to happen and then dealing with the fallout through the kind of delayed retraining programs currently unfolding in Washington, Gulf states are trying to build the skill before the need for it replaces the original job, a bet whose full success cannot really be judged before the decade closes.

For all this official optimism, one fundamental question remains open. Does training people to use AI tools actually protect jobs from the same impact currently hitting Washington? The honest answer is not necessarily, and not automatically. One million Saudis trained in AI fundamentals does not automatically mean the administrative and office roles where the bulk of Saudi employment concentrates, much like the American financial sector discussed earlier in this report, become immune simply because their holders attended a training course.

This is where the difference between knowing how to use a tool and knowing how to design or manage one matters. The American data reviewed earlier in this report shows that the jobs AI actually creates, far fewer than the ones it eliminates, require advanced systems-building skills, not just usage skills. Current Gulf training programs, by their own description, focus mostly on foundational and applied levels of the technology, a necessary level but one that may not by itself be enough to generate real replacement jobs at the same scale existing jobs are being lost.

The added challenge is time itself. Olivier Badard's statement that full nationalization needs a generation or two effectively means decades, while automation itself is accelerating on a monthly basis, as the American figures showed. If the gap between how fast skills get built and how fast automation spreads stays where it is, the Gulf could eventually find itself in a position similar to what America faces now, just delayed rather than fully immune. That does not mean the Gulf strategy is failing. It means any final verdict on it is premature at this stage, and its success will hinge on whether it can move beyond basic training toward building real capacity to design and manage AI systems, not just operate them.

There is also a structural factor worth flagging. A large share of the jobs exposed inside Gulf financial services are still held by expatriate staff, while training and nationalization efforts concentrate specifically on citizens. That means the real impact of automation on the entire Gulf labor market, not just on the share of it held by nationals, may stay invisible in official statistics for longer, since a good portion of the jobs lost will register as a drop in foreign work permits rather than a rise in citizen unemployment.

What ties all of these threads together is a shared timing. AI has topped the list of layoff reasons in America for four consecutive months, while Gulf states, at roughly the same moment, are rewriting the second phase of their national strategies around the exact same idea. This overlap is not coincidence. It reflects both sides confronting the same technological force from entirely different points on the timeline. Washington is dealing with results that have already started showing up, while Riyadh and Abu Dhabi are trying to position themselves before those same results arrive.

The practical lesson for any company or investor tracking this file is that the real measure of success will not be the number of people trained or how much gets spent on skills programs. It will be the share of graduates from these programs who actually move into roles designing and managing AI systems, not just operating them. That specific figure has not yet been published independently of the bodies running the programs themselves, which makes it the single most important thing worth watching in the coming months, particularly as the deadline for evaluating Vision 2030's first phase arrives at the end of this year.

Bloomberg: Tech and Finance Sectors Losing 28,000 Jobs Monthly Show AI Impact on Labor

Insurance Journal: Tech and Finance Sectors Losing 28,000 Jobs Monthly Show AI Impact on Labor

CBS News: AI job cuts are rising, but experts say layoffs are only part of the story

TechTimes: AI Leads US Job Cuts for Record 4th Month as Tech Claims 31% of H1 Layoffs

Challenger, Gray & Christmas: June 2026 Job Cut Announcement Report (PDF)

Goldman Sachs: How Will AI Affect the US Labor Market?

BCG: AI Will Reshape More Jobs Than It Replaces

The Middle East Observer: Saudi Arabia Leads GCC into Next Phase of Workforce Nationalisation

Microsoft: Microsoft accelerates AI skilling in Saudi Arabia, helping 3 million people acquire AI skills by 2030