The fears about AI displacing experienced, educated workers are not the stuff of urban legend: the numbers are hard to ignore. Tech layoffs have surged in 2026, with more than 100,000 jobs already cut worldwide by early May. Of those cuts, nearly 48% have been attributed to reduced need for human workers due to AI and workflow automation, reports Tomâs Hardware. Anecdotally, AI adoption is already slowing hiring for junior developers and generalized IT roles. The good news? Specialized AI-focused positions remain in high demand, according to recent research by Motion Recruitment. IT infrastructure professionals who are willing to lean into the data challenges that AI creates can bolster their chances to survive layoffs and earn promotions. Enterprise organizations are at varying stages of AI maturity, but across the board, they need people who understand storage, data management, and governance at a deep level. See also: Adaptive AI and the Shift from Pilots to Enterprise Impact Converging Forces Two forces are converging right now that make this a pivotal window to shift toward AI-related skills and knowledge in IT: - First, enterprise storage costs are surging unexpectedly this year, driven by AI demand, with major storage vendors announcing price increases of 20% to 50% and growing. - Second, data readiness is a troubling gap in the market. According to a recent Cloudera/HBR report, only 7% say their organizationâs data is completely ready for AI adoption, and more than one-quarter (27%) report their data is not at all ready. Both problems are solvable by enterprise IT teams with the right skills and strategies. The Memory Pricing Crisis: Pushing IT Budgets Overboard The hardware situation has significantly worsened in 2026 due to SSD and DRAM shortages and a 30% to 100% price surge from IT vendors across servers, flash storage, PCs, and