All articles tagged with #tech industry
Across several U.S. campuses, graduates booed speakers praising AI, signaling a rift between corporate hype and student anxiety that automation could erase entry-level jobs and undermine the value of their degrees, even as tech leaders push for rapid AI adoption.
AI-driven code creation and new security threats are turbocharging demand for cybersecurity leaders and engineers, with search firms seeing roles for breach-response and data-protection experts flood in as models like Anthropic’s Mythos and GPT‑5.4‑Cyber raise vulnerability concerns. Companies are bidding for scarce talent, pay is rising even at midlevels, and workers are retooling around AI tools; even as some tech giants cut jobs elsewhere, cybersecurity hiring accelerates to help firms manage the AI security challenge.
Trump pulled the draft AI executive order after citing “many” concerns it could inhibit innovation; officials expect a rewrite focused on cyber safeguards while weighing industry feedback, with mixed responses from tech leaders about the approach.
Industry leaders and former AI policy figures urged President Trump to pause his planned executive order on AI, warning a voluntary safety-vetting system could slow innovation; after last-minute lobbying, Trump canceled the AI order.
Graduates across the U.S. boo AI-optimistic remarks from speakers at commencements, turning the moment into a broader pushback against tech hype; while some leaders frame AI as a tool reshaping production and jobs, the class’s reaction underscores skepticism about an AI-driven future and the culture of tech-led optimism.
A Washington Post piece follows new computer science graduates, like CMU’s Audrey Hasson, as they enter a job market increasingly reshaped by artificial intelligence. While AI creates exciting opportunities in new roles, many experts warn skills could become obsolete, prompting grads to weigh industry jobs against further study and adapt to evolving hiring trends across tech companies.
Meta Platforms is expanding layoffs while boosting investment in AI, signaling a shift to fund AI initiatives by reallocating resources from staff.
Most Americans believe AI is moving too fast and doubt broad benefits, yet AI CEOs remain optimistic, a split that Axios reports shows industry leaders are baffled by public skepticism. The piece notes real risks—job displacement, data-center pollution, copyright concerns, scams and cyber threats, and mental-health issues—that complicate the push toward widespread AI adoption.
Meta is reassigning 7,000 employees into four new AI-focused units while planning to lay off about 8,000 — roughly 10% of its workforce — and offering 16 weeks of severance plus two extra weeks per year of service as it pivots toward AI and expands its data-center investments.
Elon Musk warns AI could kill humanity, but The Intercept reports that Silicon Valley is already profiting from lethal AI through military contracts and classified workloads, with Google, OpenAI, and other giants supplying AI capabilities to the Pentagon—highlighting a stark gap between safety rhetoric and today’s deadly applications.
Meta announced a plan to cut about 10% of its workforce on May 20, with roughly a month of notice that creates an anxious limbo for staff. Experts say grinding harder in the final weeks is unlikely to change the outcome; instead, employees should focus on networking and preparing for a potential transition, while staying engaged to preserve referrals and morale, even as managers and top performers may also be at risk.
Meta Platforms is laying off about 8,000 employees (roughly 10% of its workforce) and will close 6,000 open roles as it shifts resources toward aggressive AI investments, according to a memo from Chief People Officer Janelle Gale. The cuts, part of a broader tech industry retrenchment, echo moves by peers like Snap, Amazon and Microsoft as companies invest heavily in AI infrastructure and tools.
Meta Platforms announced a plan to cut about 8,000 jobs in a broad restructuring as it shifts resources toward AI initiatives, aiming to lower costs while preserving investment in growth areas.
Meta plans to lay off about 8,000 workers (roughly 10% of its workforce) as it pursues efficiency amid rising AI costs; management expects capital expenditures to rise by at least 60% this year versus 2025 to support AI initiatives, while free cash flow is projected to drop about 83% year over year. The move echoes similar cuts across Big Tech tied to AI investments and follows Meta’s earlier large-scale layoffs in 2022–23, with reports noting a potential keystroke-data collection effort to train its AI models.
Meta Platforms plans to cut about 8,000 jobs (roughly 10% of its workforce) and close around 6,000 open roles, effective May 20, as it continues a heavy AI-driven expansion. The layoffs come amid a broad AI-spending spree—about $72.2 billion in 2025 capex, with 2026 projections at or above $115 billion—driven by CEO Mark Zuckerberg’s view that AI will dramatically change how the company operates. Affected US employees will receive 16 weeks of base pay plus two weeks of pay for each year of service, with international packages similar.