The AI/Labor Report
Klarna replaced approximately 700 customer service workers in 2024 with AI [https://www.digitalapplied.com/blog/klarna-reverses-ai-layoffs-replacing-700-workers-backfired]. Klarna is primarily known for its "buy now, pay later" business model. The company CEO, Sebastian Siemiatkowski, trumpeted through every communications channel (including in-person conferences) the move as evidence that AI could perform at human-equivalent quality. By early 2026, the company reversed course by rehiring staff, with all the effort in interviews, re-training, and on-boarding that entails. Customer satisfaction scores deteriorated on complex service interactions. AI handled volume but not complexity. Edge cases, emotionally charged conversations, and multi-step problem resolution overwhelmed systems trained for routine queries. The cost savings projected at announcement did not materialize. Rehiring costs exceeded the original savings estimate. The story that was supposed to demonstrate AI’s capacity to replace human workers became the clearest illustration of why full replacement strategies fail. The Gartner data released last week [https://www.gartner.com/en/newsroom/press-releases/2026-05-05-gartner-says-autonomous-business-and-artificial-intelligence-layoffs-may-create-budget-room-but-do-not-deliver-returns] provided the statistical frame: 80% of companies that cut workers for AI saw no correlation between workforce reduction and ROI. Klarna turns that statistic into a story. Together they describe a corporate AI labor strategy that is executing at scale while failing at the level of individual firms in measurable and documented ways. The companies that are not reversing course are the ones that never had the option of reversal. Cognizant is preparing to eliminate between 12,000 and 15,000 positions globally under a restructuring initiative called Project Leap [https://www.peoplematters.in/news/strategic-hr/cognizant-may-cut-12000-to-15000-jobs-globally-under-project-leap-49579], built on the premise that AI-augmented teams can deliver what large legacy workforces once required. BUY NOW! [https://wimdodson.gumroad.com/l/gods_in_the_machine?_gl=1*19da5a0*_ga*MTEwMjE2MDkwMy4xNzc2OTY4MDQy*_ga_6LJN6D94N6*czE3NzY5NjgwNDEkbzEkZzEkdDE3NzY5NjgxNzIkajU5JGwwJGgw] Get the NEW Book that exposes the Narratives Tech uses to build its AI Empire. $4.95 flat fee for Kindle, Nook, Tablets, and Mobile. No subscription required.3.5-hr reading time. Over 250,000 of Cognizant’s 357,000 employees are based in India. Average compensation levels make workforce reduction more financially efficient there than in higher-cost geographies. Cognizant’s labor reduction program targets application maintenance, business process outsourcing, and traditional IT support. These are exactly the functions in which automation tools have the most mature capabilities. So while India is expected to absorb the majority of the cuts from AI [https://www.goodreturns.in/news/cognizant-layoffs-2026-it-company-may-cut-12000-15000-jobs-globally-major-impact-expected-in-india-1506427.html], Cognizant’s CEO framed the restructuring as moving toward a “broader and shorter pyramid.” Translation: fewer entry-level workers, more AI-augmented specialists. Industry executives are now openly stating what the Cognizant announcement confirms: [https://www.dqindia.com/news/cognizant-layoff-news-it-company-may-cut-up-to-15000-jobs-under-project-leap-11812518]clients are no longer willing to finance the traditional pyramid staffing model that depends on large cohorts of entry-level service workers. The IT outsourcing model that built India’s technology middle class for over 30 years has run its course. That is, we are seeing the twilight of a sector built on shipping large batches of recent Indian graduates to perform routine services work for Western clients. The European picture adds a longer-horizon frame to what is happening in real time. The German Institute for Employment Research projects [https://carnegieendowment.org/europe/strategic-europe/2026/02/how-europe-can-survive-the-ai-labor-transition] that 1.6 million jobs in Germany could be reshaped or lost to AI over the next 15 years. A Carnegie Endowment analysis released in February 2026 warns that the disruption is unlikely to arrive as sudden mass redundancy, though. The more probable mechanism is incremental task substitution that progressively hollows out the scope of existing roles. Jobs would shrink before disappearing to create prolonged insecurity rather than visible unemployment. The same German analysis found women are nearly twice as likely as men to work in a role with high AI exposure. The most useful data point for understanding the week arrives from an unexpected direction. The Yale Budget Lab released new econometric research on May 7 [https://budgetlab.yale.edu/research/ai-probably-not-yet-reason-labor-market-weakening] found that the current weakening of the U.S. labor market cannot yet be statistically attributed to AI. BUY NOW [https://wimdodson.gumroad.com/l/invasion_ai?_gl=1*g1iey2*_ga*OTc1NjU2NTcyLjE3NzQwMzA3NjM.*_ga_6LJN6D94N6*czE3NzQwMzMyMjUkbzIkZzEkdDE3NzQwMzQ2ODgkajYwJGwwJGgw]! Get the book that examines how the AI invasion already happened. You just weren’t invited. $9.95 flat fee for Kindle, Nook, Tablets, and Mobile. No subscription required. 2-hr reading time. Net payroll growth has run at only about 20,000 jobs per month over the prior year. The unemployment rate has risen from 3.4% in April 2023 to 4.3% in March 2026. Layoffs are low. Hiring is low. Unemployed job seekers are having a particularly difficult time finding work. The Budget Lab concludes “AI seems quite likely to eventually leave its mark on the labor market, even if it has not already.” The U.S. labor market’s net job creation has run near zero since early 2025 [https://www.allianz-trade.com/en_global/news-insights/economic-insights/Happy-labor-day-How-geopolitics-immigration-AI-reshape-work.html] while unemployment holds at 4.3%. That is a labor market that is neither growing nor collapsing. It is compressing. The statistical methods that measure unemployment register job loss. They do not register job shrinkage. The AI Labor Report is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber. A worker whose role has had 40% of its tasks automated away does not appear in the unemployment data. The gap between what the data currently shows about AI-related job loss and how corporate is reshaping hiring pipelines points in the direction of what will likely com. what is forming inside corporate hiring pipelines is an indication of what will likely come. Klarna’s experience is a prime example of AI “irrational exuberance.” Klarna clearly implemented AI corporate-wide prematurely. Is the rest of the corporate world, globally, intent on following Klarna’s example? Or will AI irrational exuberance unravel the labor markets before before Wall Street understands what’s happening? Get full access to The AI/Labor Report at ailabor.substack.com/subscribe [https://ailabor.substack.com/subscribe?utm_medium=podcast&utm_campaign=CTA_4]
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