AI cuts entry-level jobs while enabling one-person businesses
CALIFORNIA, UNITED STATES — Two converging analyses published in Fortune have crystallized what may be the most consequential workforce shift of 2026: artificial intelligence (AI) is simultaneously enabling more people to build lean businesses and eliminating the entry points through which workers have historically built careers.
At the center of the first trend is Block, the fintech company behind Square and Cash App, cited AI intelligence tools as the primary reason for laying off nearly half the firm’s workforce — approximately 4,000 of more than 10,000 employees — in February, describing tools that are “enabling a new way of working which fundamentally changes what it means to build and run a company.”
Entry-level jobs at risk as AI reshapes hiring in 2026
Block’s restructuring may be the opening act of a broader reckoning. A separate Fortune analysis published March 17 warned that Meta and its CEO Mark Zuckerberg are positioned to trigger what Bernstein analyst Mark Shmulik called “a cascade” of AI-related layoffs across tech.
Even at a 20% headcount reduction, Shmulik estimated Meta could realize between US$2 billion and US$4 billion in cost savings in 2026 — translating to a 3%–5% earnings-per-share upside this year.
The data at the hiring coalface is equally stark. A February 2026 survey of nearly 1,000 U.S. business leaders by Resume.org found that 21% of companies have already frozen entry-level hiring because of AI. More than half — 51% — say their company will lay off workers in 2026 specifically because AI is consolidating or eliminating roles, while 29% say those layoffs have already happened.
For the outsourcing industry, the implications are acute. Entry-level BPO roles — the foundation of the offshore talent pyramid — sit squarely in the line of fire, mirroring broader warnings that AI could dramatically shrink India’s BPO workforce by 2030.
The question now being asked across the sector is whether that displacement accelerates the transition toward higher-value knowledge process outsourcing (KPO) — where human judgement still commands a premium — or whether it hollows out the talent pipeline that feeds it.
AI dehumanization risk and the outsourcing business case
The workforce anxiety goes beyond headcount. A national survey of more than 1,000 employed U.S. adults by Resume Now found that 63% expect AI to make the workplace feel less human in 2026. Skill erosion tops the list of concerns: 57% of respondents said AI reducing human skills would be the biggest workforce issue this year — ranking above job displacement itself, cited by 49%.
For BPO operators and their clients, this scenario creates a compounding risk. As AI absorbs routine interactions, the human touchpoints that remain carry greater brand weight and customer experience expectations.
Meanwhile, as companies achieve “doing more with less” internally through AI, the traditional cost-arbitrage rationale for outsourcing is being stress-tested.
The consensus emerging from buyers and analysts is that what remains after AI automation — complex judgment calls, sensitive customer interactions, regulated processes — is precisely where specialist offshore partners add the most defensible value.
