Five developments in AI workforce restructuring, government oversight, semiconductor supply, and enterprise capital allocation.

President Donald Trump is expected to sign an executive order on Thursday requiring AI companies to share their most powerful models with US government agencies for evaluation before public release. Sources familiar with the discussions told both CNN and the Washington Post that the order creates a formal review channel involving intelligence and national security agencies. The review period remains contested: one draft of the order specifies 90 days, while major AI firms – including OpenAI (the company behind ChatGPT) and Anthropic (the company that makes the Claude AI assistant) – are pushing for a shorter window of ~14 days.

The order is framed principally around cybersecurity risk. Officials have warned that increasingly powerful AI models could be exploited to accelerate cyberattack development, and the framework is designed to give agencies time to evaluate those risks before public release. National Economic Council Director Kevin Hassett previously described the process as analogous to FDA drug approval: a structured safety evaluation before commercial launch. The voluntary framing is significant – the order does not mandate compliance, meaning its practical effectiveness depends entirely on industry participation. If the final review window lands closer to 90 days, it would create the longest formal pre-launch pause yet seen for a consumer AI product in the US, with implications for competitive timing between US and international labs.

Intuit, the financial software company behind TurboTax, QuickBooks, and Credit Karma, announced it is eliminating ~3,000 positions, representing 17% of its global workforce of ~18,200 employees. CEO Sasan Goodarzi communicated the decision via an internal memo, stating the goal is to reduce organizational complexity and accelerate AI product development. The company expects restructuring charges of $300–$340 million. Affected US employees remain with the company until 31 July, with severance of 16 weeks of base pay plus two additional weeks per year of service. Intuit will also close its offices in Reno, Nevada, and Woodland Hills, California.

The layoffs were announced on the same day Intuit reported its Q3 earnings and raised its full-year fiscal 2026 guidance – now projecting adjusted earnings per share of $23.80–$23.85 and revenue of $21.34–$21.37 billion, both above analyst consensus. Q3 revenue growth came in at 10%, Intuit's weakest rate since 2024. On CNBC, Goodarzi framed the cuts as structural simplification: reducing management layers, eliminating coordination-heavy project manager roles, and stripping out duplicative functions after the closer integration of Credit Karma and TurboTax. Intuit has, however, signed multi-year deals with both Anthropic and OpenAI to embed their AI models into its tax and finance platforms. Investors did not accept the framing: shares fell 3.95% during regular trading and a further 13.4% after hours to ~$332. The stock is now down more than 40% in 2026, sharply underperforming the S&P 500's ~8% gain over the same period.

Samsung Electronics – the South Korean technology company and the world's largest maker of memory chips – reached a tentative wage agreement with its labor union late Wednesday, just hours before a planned 18-day general strike was due to begin. The union, representing ~48,000 members, confirmed it had suspended the strike – scheduled to run from May 21 through June 7 – and announced a member vote on the tentative 2026 wage agreement from May 23 to May 28. The deal followed last-minute government-mediated negotiations involving South Korea's Labor Minister Kim Young-hoon, after earlier talks had collapsed on May 12.

Samsung and union leaders did not immediately disclose the full terms. Management confirmed it agreed to extend bonus payments beyond the memory division to less profitable units, including foundry (chip manufacturing) operations – one of the union's central demands. The union had been seeking elimination of a 50% bonus cap, allocation of 15% of annual operating profit to a bonus pool, and a 7% base wage increase. Leaked transcripts from earlier talks alleged Samsung offered memory workers a 607% bonus worth ~$477,000, while logic chip staff were to receive as little as 50% – an imbalance the union characterized as a retention crisis, given that rival SK Hynix had already lifted its bonus cap. In the preceding three months, more than 100 union members had left Samsung for SK Hynix. The strike threat carries specific weight because Samsung makes the high-bandwidth memory (HBM) chips – specialized, high-speed memory components – that power the AI data centers and GPU clusters driving the current AI infrastructure boom.

Meta Platforms – the company behind Facebook, Instagram, and WhatsApp – began notifying ~8,000 employees of layoffs on Wednesday, May 20, with notifications starting at 4 a.m. Singapore time before rolling out to US-based staff. Bloomberg confirmed the cuts, describing them as the largest single round of Meta layoffs since its 2023 restructuring. The 8,000 positions represent ~10% of Meta's global workforce of 78,865 employees. The company is also cancelling 6,000 open job requisitions, bringing the effective headcount reduction to 14,000 positions. Additional layoff rounds are planned for August and fall 2026, with earlier reporting from CNBC suggesting the total could eventually reach 20% of the pre-2026 workforce – though Meta called that figure speculative.

The cuts arrive alongside record financial performance. Meta reported Q1 2026 quarterly revenue of $56.31 billion and net income of $26.8 billion. Simultaneously, the company raised its full-year 2026 capital expenditure guidance to between $125 billion and $145 billion – nearly double the $72.2 billion it spent in 2025 and ~four times the $39.2 billion spent in 2024. In Q1 alone, Meta added $107 billion in new contractual commitments for cloud and infrastructure deals, and committed $27 billion to a joint venture with Nebius for a gigawatt-scale AI data center campus in Louisiana. Bank of America estimated the layoffs could generate $7–$8 billion in annualized savings. CEO Mark Zuckerberg described the broader strategy as building AI-powered products amounting to "personal superintelligence" for billions of users. Teams are being reorganized into AI-focused "pods" under Chief AI Officer Alexandr Wang's Superintelligence Labs.

The AI-driven restructuring wave across the technology sector has now resulted in more than 114,000 layoffs at over 140 companies in 2026, according to Layoffs.fyi data cited by CNBC and Reuters. The current pace projects to ~371,000 total tech job cuts across the full calendar year, per TrueUp. The week of May 19–21 alone saw confirmed cuts from Meta (8,000 employees, 10% of workforce), Intuit (3,000 employees, 17% of workforce), and the near-avoidance of a Samsung union strike involving 48,000 chip workers – all within a 48-hour window. Earlier in 2026, Amazon cut 16,000 positions in January; Oracle eliminated up to 30,000 (~18% of its workforce); LinkedIn reduced headcount by 5%; and Microsoft by 7%. The tech industry has averaged 882 layoffs per day in 2026 across 247 distinct layoff events, per The Next Web.

The common thread is that layoffs are occurring simultaneously with record or near-record financial performance. Meta posted $56.31 billion in Q1 revenue while cutting 10% of staff. Intuit raised full-year guidance on the same day it announced 17% workforce reductions. Samsung reported quarterly profits 8.5 times higher Y-o-Y while its union threatened a strike over bonus structures workers argue do not reflect the company's AI-driven financial gains. This is a structural, not cyclical, pattern: companies are reducing human headcount as a deliberate choice to redirect capital toward AI infrastructure and tooling, not because business is deteriorating. Separately, South Korea's Prime Minister Kim Min-seok warned that disruption to Samsung's semiconductor operations would leave "deep scars across the national economy" – reflecting how AI supply chain stability has become a matter of national economic security, not merely corporate strategy.