It’s not just coding — all kinds of white-collar jobs seem to be impacted by AI.
New data from the Federal Reserve’s FRED database shows that job openings in Finance and Insurance have fallen to their lowest level since the aftermath of the 2008 financial crisis. The numbers paint a stark picture: after surging to a peak of over 540,000 open positions in 2022 — a post-pandemic hiring frenzy — finance job openings have since collapsed, now sitting in the range of 230,000–280,000. That’s a decline of roughly 50% from the peak, putting the sector back in territory it hasn’t seen since 2009–2010, when the global economy was still digging out from the Great Recession.
The timing is hard to ignore. The drop began almost precisely when large language models and generative AI tools started becoming mainstream in enterprise settings. Goldman Sachs, JPMorgan, BlackRock, and virtually every major financial institution have spent the past two years aggressively deploying AI across their operations — automating everything from research and analysis to compliance, fraud detection, and client reporting. The work that once required armies of junior analysts, paralegals, and back-office staff can increasingly be handled by models that work around the clock and don’t ask for bonuses.
This isn’t a fringe prediction anymore. Anthropic CEO Dario Amodei has warned that AI could eliminate half of all entry-level white-collar jobs within five years, explicitly calling out finance as one of the sectors most at risk. An Anthropic researcher has gone further, predicting that AI will be capable of automating any white-collar job by 2028. The finance sector, with its heavy reliance on structured data, repeatable analytical tasks, and document processing, is arguably the most vulnerable of all.
What makes the current situation different from past slowdowns is the mechanism behind it. In 2008, finance jobs disappeared because the industry nearly collapsed. This time, the underlying business is healthy — bank profits are robust, trading volumes are strong, and assets under management are near all-time highs. Companies aren’t hiring because they simply need fewer people to do the same work. A fintech company recently revealed that its AI assistant was performing the equivalent work of 700 human employees — a data point that would have seemed like science fiction just a few years ago.
The FRED chart also reveals something else worth noting: prior to the AI era, finance job openings had been broadly trending upward for over a decade, recovering steadily from the financial crisis lows and reaching new highs after 2020. That long upward trend has now decisively reversed. If the post-2022 trajectory continues, the sector could see openings settle at levels not just comparable to the financial crisis — but potentially below them.
Sam Altman has pushed back on the most dramatic job-loss predictions, arguing there is little evidence of wholesale replacement at scale. And it’s true that the data so far shows a tightening of new hiring rather than mass layoffs — headcounts at most financial firms remain stable for now. But the hiring freeze is its own signal. When companies stop backfilling roles and let natural attrition do the work, the long-term effect on employment is the same; it just arrives more quietly.
The broader implication is one that labor economists and AI researchers have been warning about for years. Altman had noted early on that AI was disrupting white-collar and creative jobs first — the opposite of what most people expected. Finance sits squarely in that category. Unlike factory automation, which requires physical robots and billions in capital expenditure, automating a financial analyst or a compliance officer requires only software. The marginal cost is close to zero, and the scalability is essentially infinite.
For job-seekers eyeing Wall Street or the broader financial services sector, the message from the data is clear: the ladder that millions of ambitious graduates have climbed for decades — entry-level analyst roles, associate positions, the structured career path of a major bank or asset manager — is getting shorter. The rungs at the bottom are disappearing first.
Whether this is a temporary recalibration or the beginning of a structural transformation remains to be seen. But the FRED data doesn’t lie: finance openings are at their lowest since the depths of the financial crisis, and this time, the crisis isn’t in the markets. It’s in the nature of work itself.
Source – https://officechai.com/ai/ai-impact-finance-openings-are-at-their-lowest-since-the-financial-crisis/