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Analysts at Morgan Stanley, JPMorgan, and TrendForce report that legacy memory types like NOR flash and SLC NAND are facing severe supply shortages as manufacturers redirect production capacity toward more profitable HBM and DRAM chips driven by AI demand. Contract prices for both chip types have already more than doubled in the first half of 2026, with SLC NAND expected to rise another 120-170% in the second half.
Micron offered Taiwan employees a one-time cash bonus of up to NT$1 million, plus guaranteed minimum compensation for direct labor staff equivalent to 35-68 months of basic salary, following a record-profit year driven by AI demand. The union at its Taoyuan plant rejected the deal within hours, saying it ignores their core demand: a permanent bonus formula tying 15% of operating profit to quarterly worker payouts instead of one-off checks.
While AI executives and researchers focus attention on speculative dangers from future superintelligent systems, current AI tools are already causing real harm to people's health and wellbeing. The debate over existential AI risk is overshadowing more immediate concerns about how deployed AI products affect users today.
Rising memory chip prices driven by the AI boom are pushing up the cost of new smartphones, even as many flagship models already exceed $1,000. This is prompting consumers who damage their phones to weigh repair costs, often under a few hundred dollars, against the appeal of new features found only in devices like the Pixel 11 and iPhone 17.
Amjad Masad, CEO and co-founder of Replit, will appear on the Disrupt Stage at TechCrunch Disrupt 2026, held October 13-15 at San Francisco's Moscone West. He'll discuss the future of programming and how AI is letting more people turn ideas into software products.
Samantha Brunhaver, an associate professor at Arizona State University, is leading an NSF-funded project examining how engineers develop adaptability on the job. Through interviews with managers, early-career employees, and undergraduates, she found that while adaptability is widely cited as essential, employers rarely define or teach it consistently, and its meaning shifts depending on the industry, from tool turnover in software to regulatory changes in aerospace or biomedical fields.