Originally published Jan 2017. Updated June 2026.
92,000 tech workers were laid off in the first five months of 2026. Six companies are doing the opposite. Nvidia. OpenAI. Microsoft. Meta. Amazon. Palantir.
Capital is moving out of generalist tech labor and into a narrow slice of AI talent at six firms. They set the salary, the structure, and the geography of the next decade of work.
Here is who is hiring, where, for what, and at what price.
Nvidia secured certification for roughly 1,200 H-1B visa positions across the first two quarters of fiscal 2026 — up from 1,000 the year before. Meta, Google, and Amazon slowed foreign hiring. Nvidia accelerated.
Where: Santa Clara, with global engineering hubs including Tel Aviv and Bangalore.
Roles: AI research, chip design, software engineering, cloud infrastructure, customer-facing technical roles.
Salary: Distinguished AI algorithms engineers up to $471,500. Principal systems software engineers to $431,250. Mid-level engineers clear $300K.
The filter: 3 million applications a year for ~10,000 hires. Acceptance rate: 0.3–0.4 percent. More selective than any Ivy League.
Nvidia is the only firm in the group hiring without paired layoffs. It sells the picks and shovels — and the workers being cut across the rest of tech were never the ones designing GPUs.
OpenAI had 770 employees in November 2023. It will hit roughly 8,000 by the end of 2026. Nearly ten-fold growth in three years. The plan is 3,500 workers in nine months — about 100 new hires every week.
Where: San Francisco footprint now exceeds 1 million square feet of office space.
Roles: Product development, engineering, research, enterprise sales, technical ambassadorship — specialists who help business buyers operationalize the product.
Salary: Average employee equity package: $1.5 million in stock. Largest ever recorded at a private tech company. August 2025 retention bonuses for nearly 1,000 employees ranged from $300,000 to $1.5 million apiece in cash to block Meta and Anthropic poaching. Revenue per employee passed $3 million in early 2026.
The pressure point: Anthropic is winning the enterprise. First-time buyers now choose Anthropic over OpenAI 70 percent of the time, per Ramp. The hiring blitz is the response.
Microsoft's 2026 capital expenditure on AI infrastructure: $190 billion. Its calendar 2026 layoffs: more than 10,000 workers, largely in product and engineering roles tied to legacy stacks. Both numbers are true. Both are happening at the same time.
Where: Redmond, Seattle, India, Israel.
Hiring: AI research, model deployment, Azure AI infrastructure, Copilot product, enterprise solution engineering.
Cutting: General product management, middle-tier engineering on non-AI stacks, regional sales support.
Salary: AI engineers and applied scientists clear $400K–$700K total comp at staff level. Non-AI engineering bands are flat to down year over year.
Microsoft is paying record premiums for AI talent while cutting deeper than at any point since 2009. The layoffs are funding the AI hires. Satya Nadella has said so directly.
Meta laid off 8,000 workers on May 20, 2026. Another round is queued for the second half — projected to reach nearly 20 percent of total headcount by December. Zuckerberg told employees the cuts are a direct consequence of the AI infrastructure budget — $125–$145 billion in 2026, roughly $370 million per day in data-center construction.
While the cuts ran, Meta also widened the gap on individual AI pay. Internal reports show packages above $1 million per year — in some cases above $10 million across multi-year vesting — to a small number of senior AI researchers pulled from OpenAI, DeepMind, and Anthropic.
Where: Menlo Park, New York, and a much smaller Reality Labs footprint after the January 2026 metaverse trimming.
Hiring: Superintelligence research, large-model training, agentic systems, AI safety, applied AI in ads.
Cutting: Mid-tier IC engineers, recruiters, marketers, Reality Labs.
Meta's capex is four to five times its entire payroll. Layoffs are not the cost-cutting story here. They are the financing.
Amazon eliminated 14,000 corporate jobs in late 2025 and another 16,000 in January 2026 — the widest layoff round in its history. In parallel: $200 billion in 2026 AI capex and a fresh $50 billion strategic investment into its expanded OpenAI partnership.
Where: Seattle, Arlington (HQ2), Dublin, Hyderabad, Tel Aviv.
Hiring: AWS Bedrock product, AI infrastructure, applied scientists, GenAI solution architects, robotics for fulfillment, Anthropic-related deployment engineering.
Cutting: Corporate operations, retail layers, devices, Alexa legacy stack, middle management.
Salary: AWS principal applied scientists clear $700K total comp. Senior GenAI solution architects: $400K–$550K.
Amazon's hiring is now a barbell. Warehouse and operations on one end, AI specialists on the other, with the corporate middle hollowed out.
Palantir runs at roughly 3,100 employees. Revenue grew 85 percent year over year in Q1 2026. Engineering is 44 percent of headcount. No announced layoffs — only selective trimming and steady senior attrition pulled by frontier-lab offers.
Where: Denver, New York, D.C., London, Tel Aviv.
Roles: Forward Deployed Engineer (FDE) and Forward Deployed AI Engineer — embed-with-the-customer engineers who deliver AIP and Foundry into Fortune 500 and defense environments.
Salary: Median FDSE total comp around $215K. Senior FDEs clear $600K+. Frontier-lab competitors are paying $785K and up to poach the senior tier — sometimes past $1 million at principal grade.
Palantir is the smallest of the six. By far the most defensible. It invented the Forward Deployed Engineer role. Now everyone is copying it.
Tech doesn't pay well anymore. A narrow slice of AI-skilled labor is being bid against itself across six firms while everything around it gets cut.
For operators: the cost of building AI in-house is hardening. Senior AI talent is being repriced upward every quarter. If the build was tight at 2024 numbers, it does not survive at 2026 numbers. The make-versus-buy math has shifted toward buy — and toward partnering with firms that already have the talent embedded.
For investors: the four hyperscalers — Microsoft, Amazon, Meta, Google — will spend $725 billion on AI capex in 2026. Up 77 percent year over year. More than the entire global oil and gas industry spends on exploration. Nvidia and Palantir are the cleanest public-market reads on where the money lands.
For communicators: the hiring story is a citation story. The six firms above shape what every AI engine — ChatGPT, Claude, Gemini, Perplexity, Google AI Overviews — says about the future of work. If your brand is not in those answers, you are not in the conversation. That is the discipline of AI Communications — being the answer inside the engines where buyers, candidates, and analysts now ask the question.
Q: Which companies are still hiring through the AI layoff cycle?
Nvidia, OpenAI, Microsoft, Meta, Amazon, and Palantir are net hirers in AI-specific roles in 2026. Microsoft, Meta, and Amazon are running their largest layoff rounds in over a decade in non-AI functions at the same time. Nvidia and Palantir are hiring without paired layoffs.
Q: What is the highest-paying job in AI in 2026?
Principal AI researchers and senior forward deployed engineers at OpenAI and Anthropic clear $1 million+ total compensation at the top of the market. Nvidia distinguished AI algorithms engineers reach $471,500. Equity is 55–70 percent of those packages.
Q: How many tech workers were laid off in 2026?
More than 92,000 in the first five months, per Layoffs.fyi. Q1 2026 alone hit 81,747 — the highest quarterly figure in at least two years.
Q: Where are the AI jobs concentrated geographically?
San Francisco and the broader Bay Area dominate. Seattle, New York, London, and Tel Aviv are the next tier. Tel Aviv is now the most active AI-talent hub outside the U.S., with Nvidia, Microsoft, Meta, OpenAI, and Palantir running material engineering operations there.
Q: Are entry-level tech jobs disappearing?
Yes. Motion Recruitment's 2026 study shows AI adoption is slowing hiring for entry-level and generalized IT roles. The market is bifurcating: senior AI specialists at premium pay on one end, a shrinking middle of generalist tech roles on the other.
Q: How does this compare to the 2021–2022 tech hiring boom?
2021–2022 hired broadly across functions. 2026 is narrower and more expensive. Fewer hires, paid more, at fewer firms — with most of the rest of tech contracting around them.
Six companies are setting the price of AI labor for the entire economy. They are paying record premiums to a narrow slice of talent while cutting deeper into everything around it.
Build the bench. Or buy from the firms that already have it.
Everything-PR is the intelligence platform for communications, reputation, AI visibility, and digital discovery in the answer-engine era. Thirty-plus publications. Publishing since 2009. Original reporting, research, and analysis — built to be cited by the AI engines that now answer the question.
Ronn Torossian is shaping AI — and the answers inside the chatbox.
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