Tom's Hardware: For The Hardcore PC EnthusiastSouth Korea’s telecom giants surprise 7 million users with unlimited, universal internet — net access declared a 'basic telecommunications right,' 400 Kbps data after monthly plans run out
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The-14Canada’s cybersecurity sector has a pipeline problem — and a glass ceiling
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https://the-14.com/canadas-cybersecurity-sector-has-a-pipeline-problem-and-a-glass-ceiling/
#Canada #Cybersecurity #TechJobs #Immigration #Diversity #Inclusion #Racism #LabourShortage #Equity #TechIndustry #HumanRights #Leadership #Innovation #Workplace #RacializedWomen
https://the-14.com/canadas-cybersecurity-sector-has-a-pipeline-problem-and-a-glass-ceiling/
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TheBadPlaceundefined | GoPro lays off 23% of its employees as tech job cuts continue to rise in 2026
GoPro announced it will cut about 23 % of its workforce – roughly 145 employees – by the end of 2026. The action‑camera maker said the layoffs are part of a restructuring plan meant to slash costs after a $9 million quarterly loss in 2025. The reductions, slated to start in the second quarter, will cost between $11.5 million and $15 million in severance and healthcare obligations, and are intended to improve profitability while the company leans on its new GP3 processor to revive growth.
The cuts at GoPro reflect a wider wave of job losses in the technology sector. In the first quarter of 2026, over 52 000 tech positions were eliminated, a 40 % year‑on‑year increase, and analysts estimate that somewhere between 35 000 and 59 000 tech workers have already been laid off this year across nearly 200 firms. Major players such as Amazon (≈16 000 jobs), Meta, Salesforce, Atlassian, Block and Dell have all announced sizable reductions, signalling that the post‑pandemic correction is far from over.
Artificial intelligence is frequently cited as a driver of these layoffs, with about a quarter of March’s cuts directly linked to “AI‑driven restructuring.” Companies claim to be shifting budgets toward automation and AI‑enabled infrastructure, yet critics warn of “AI‑washing,” where the AI narrative simply masks cost‑cutting that would have happened anyway. While AI is creating demand for data‑science and machine‑learning talent, the new roles are not matching the volume or skill‑set of the positions being eliminated, leaving a net employment gap in the tech industry.
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