When Pinterest fired two engineers last week for using custom scripts to track which colleagues were laid off, it wasn’t just another tech industry termination story. The incident reveals a deeper tension in today’s corporate landscape: as companies rush to embrace artificial intelligence, are they using it as a genuine strategic shift or as convenient cover for other business challenges?
Pinterest CEO Bill Ready told employees the company was “doubling down on an AI-forward approach” while announcing 700 job cuts affecting 15% of the workforce. The two engineers, whose identities remain unknown, wrote scripts that accessed internal tools to identify dismissed employees, violating company policy and privacy standards. This technical workaround highlights how employees are navigating the uncertainty of AI-driven restructuring.
The ‘AI-Washing’ Phenomenon
Pinterest’s situation isn’t unique. According to a TechCrunch analysis, over 50,000 layoffs in 2025 were attributed to AI by companies including Amazon and Pinterest. But experts question whether this represents genuine AI adoption or what’s being called “AI-washing” – using AI as an investor-friendly explanation for cuts that might actually stem from pandemic-era over-hiring or other business issues.
Molly Kinder, senior research fellow at the Brookings Institute, notes that blaming AI creates “a very investor-friendly message, especially when the alternative might mean admitting, ‘The business is ailing.'” A Forrester report adds that many companies lack mature AI applications to justify these workforce reductions, suggesting the AI justification might be more about optics than operational reality.
Beyond the Job Apocalypse Narrative
While headlines often focus on AI eliminating jobs, the reality is more nuanced. According to Financial Times analysis, AI-related layoffs accounted for just 4.5% of total job-cut announcements in the US last year. Employment in white-collar roles has actually increased overall in the US and euro area since ChatGPT’s release.
Bouke Klein Teeselink, assistant professor in economics at Kings College London, offers historical perspective: “Every time jobs automate or we get mechanisation or computerisation, jobs disappear [and] people freak out and think there are not going to be any jobs. And every time so far, that was false.” LinkedIn estimates AI generated 1.3 million new jobs globally between 2023 and 2025.
The Economic Mechanics of AI Transition
The relationship between AI and employment follows complex economic patterns. Klein Teeselink explains the Jevons paradox: “If AI starts automating some parts of the production of anything, then if you have a really competitive market for this product, it means the price goes down. If the price goes down, demand might go up.” This dynamic can create new jobs even as automation eliminates others.
Research shows AI’s impact varies significantly by role. Job postings requiring generative AI skills in software and quantitative roles pay more than those that don’t, while some writing roles pay less. A small but fast-growing portion of digital writing jobs involve low-paid work writing for AI systems.
Navigating the Transition
The Pinterest incident underscores how companies and employees are navigating this transition. Checking internal tools like Slack for disappearing colleagues has become a common way employees learn about layoffs in the tech industry, which has seen an estimated 700,000 people laid off over the last four years according to Layoffs.fyi.
David Deming, labour economist and professor at Harvard University, offers insight for workers: “Over the last century, disruptive innovation has generally favoured the young and the well-educated. Today, young people’s relative tech fluency and capacity to retrain mean they can adapt to new ways of doing things.”
The Corporate Balancing Act
Companies face their own challenges in communicating AI transitions. Ben May, director of global macro research at Oxford Economics, observes that “linking job losses to increased AI usage rather than other negative factors like weak demand or excessive hiring in the past conveys a more positive message to investors.”
This creates a delicate balance: companies must invest in AI to remain competitive while managing workforce transitions responsibly. The Pinterest engineers’ scripts, while violating policy, reflect the human need for transparency during uncertain times.
As AI continues to reshape industries, the key question isn’t whether jobs will disappear, but how companies and workers will adapt to new roles and responsibilities. The Pinterest case serves as a microcosm of this larger transition – one where technological capability meets human need for clarity and fair treatment during periods of change.