ServiceNow CEO Warns AI Agents Could Push College Graduate Unemployment Above 30%
Bill McDermott's stark prediction coincides with Block cutting 4,000 jobs and Atlassian eliminating 1,600 roles as enterprise AI deployment accelerates faster than workforce reskilling capacity.
ServiceNow CEO Bill McDermott warned Friday that unemployment among new college graduates could easily reach the mid-30s within two years as AI agents automate entry-level work, marking the most dramatic labor displacement forecast yet from a major enterprise software executive. The statement comes as Block announced February 26 it would cut more than 40% of its workforce—over 4,000 employees—while reporting Q4 gross profit of $2.87 billion, up 26% year-over-year, and Atlassian said March 11 it would eliminate 10% of its workforce, or about 1,600 jobs, as the company restructures to fund AI investments.
McDermott’s warning converges three narratives that have dominated boardrooms and policy circles for months: AI-driven labor displacement outpacing reskilling infrastructure, a structural pullback in tech hiring creating macro headwinds, and rising anxiety among technology leaders about Automation velocity in white-collar roles. The Federal Reserve Bank of New York put unemployment for recent college graduates at the end of 2025 at 5.7%, while the underemployment rate of 42.5% reached its highest level since 2020—a troubling baseline for McDermott’s projection.
AI Agents Automate Entry-Level Work at Scale
McDermott told CNBC that ServiceNow’s tools have already eliminated 90% of use cases that previously relied on humans in customer service, a claim that moves beyond theoretical disruption into documented operational transformation. According to a Yahoo Finance report, the CEO said 97% of standard software is now generated by AI, and 80% of customer inquiries are fully managed by AI agents. ServiceNow’s AI allows businesses to maintain headcount while growing free cash flows and revenue, a productivity paradox that explains why profitable companies are cutting deeper than distressed ones.
The displacement mechanism centers on agentic AI—autonomous systems that plan, decide, and execute multi-step workflows without human oversight. Per a Gartner press release, the research firm predicts 40% of enterprise applications will integrate task-specific AI agents by the end of 2026, up from less than 5% today, with agentic AI potentially driving approximately 30% of enterprise application software revenue by 2035. By 2026, this shift signals a movement from experimentation to operational deployment.
Block and Atlassian Cuts Validate CEO Anxiety
Block CEO Jack Dorsey told shareholders that “intelligence tools have changed what it means to build and run a company,” adding that “a significantly smaller team, using the tools we’re building, can do more and do it better”, per 24/7 Wall St. Dorsey referenced a December breakthrough when “the models just got an order of magnitude more capable,” noting Block’s internal tools delivered a greater than 40% increase in production code shipped per engineer since September.
Atlassian CEO Mike Cannon-Brookes said the company is cutting jobs “to self-fund further investment in AI and enterprise sales, while strengthening our financial profile”, per CNBC. Cannon-Brookes acknowledged “AI is not replacing employees,” but added “it would be disingenuous to pretend AI doesn’t change the mix of skills we need or the number of roles required in certain areas”. The distinction matters: companies frame AI as transformation rather than replacement, yet headcount falls regardless.
“So much of the work is going to be done by agents. It’s going to be challenging for young people to differentiate themselves in the corporate environment.”
— Bill McDermott, CEO, ServiceNow
Dorsey wrote in a letter to shareholders that automation driven by artificial intelligence could lead to more cuts across the industry, stating “within the next year, I believe the majority of companies will reach the same conclusion and make similar structural changes”, per CNBC. The convergence of executive warnings—from ServiceNow, Block, and Atlassian within two weeks—suggests coordinated sector-wide recalibration rather than isolated incidents.
Labor Market Data Supports Displacement Thesis
McDermott’s 30% projection lands against a deteriorating baseline for young workers. Job listings for entry-level corporate roles traditionally available to young graduates declined 15%, while the number of applications per job surged 30%, according to career platform Handshake data cited by CBS News. The unemployment rate for college graduates has risen 0.7 percentage points since January 2023 to 2.8% in December 2025, well above the 2019 average of 2.1%, notes Goldman Sachs Research.
Unemployment for tech workers ages 20 to 30 has risen nearly 3 percentage points since early 2024, more than four times the increase in the overall jobless rate, per Federal Reserve Bank data. From June 2024 to June 2025, 37.1% of unemployed workers ages 22-27 with bachelor’s degrees found work or stopped looking each month, compared to 41.5% of peers with only high school diplomas, according to Federal Reserve Bank of Cleveland research—a troubling inversion of historical advantage.
| Source | Scope | Magnitude |
|---|---|---|
| BLS 2023-33 Projections | Select occupations | 4-9% decline (claims adjusters, appraisers) |
| McDermott Warning | College graduates | 30%+ unemployment (entry-level) |
| Gartner Forecast | Enterprise apps | 40% embed AI agents by 2026 |
| Block Internal Data | Engineering productivity | 40%+ code output per engineer |
BLS Projections Lag Operational Reality
The Bureau of Labor Statistics takes a conservative stance on AI displacement. The 2023-33 BLS employment projections incorporate AI-related impacts for several occupations where high exposure to automation is deemed likely, but BLS projection methods assume the overall pace of technological change will follow historical patterns, which tend to occur gradually, per the Monthly Labor Review. Employment of claims adjusters is projected to decline 4.4%, and insurance appraisers 9.2%, over the 2023-33 period—modest figures compared to McDermott’s forecast.
There is very little evidence of artificial intelligence taking away jobs on a large scale to date, and correlation between AI exposure and projections of job growth or decline over the next decade remains low, notes Dallas Fed research. Yet an estimated 69,840 job cuts in 2025 were directly linked to AI and automation technologies, with Amazon explaining AI as the reason behind its latest workforce reduction, per RationalFX analysis. The gap between statistical projections and corporate actions widens monthly.
Goldman Sachs Research is less convinced that AI adoption has meaningfully impacted the labor market for college graduates so far, but sees risks that AI could impact these workers more meaningfully in the future. The cautious phrasing reflects methodological constraints: government agencies model gradual change, while enterprises deploy step-function improvements in quarterly cycles.
What to Watch
McDermott’s 30% figure will face scrutiny as Q2 and Q3 2026 unemployment data arrives. Three indicators matter: whether tech hiring freezes spread beyond software into finance, healthcare, and professional services; whether underemployment—college graduates working jobs that don’t require degrees—continues climbing from its current 42.5% rate; and whether companies beyond Block and Atlassian explicitly cite AI agents in layoff justifications. McDermott said “I do think it’s coming quicker than people anticipate”, a timeline that puts summer 2026 graduation cohorts in the displacement crosshairs. The velocity of enterprise AI agent deployment, not the theoretical capability of models, will determine whether McDermott’s warning proves prescient or premature.