The severance check hasn’t even cleared and already the questions are flooding Reddit.
“Just got laid off from a senior engineering role at a FAANG company,” one user posted to r/layoffs earlier this year. “I have a good body and I’m not ashamed. Would an OnlyFans tank my chances of getting rehired?” The post drew hundreds of responses — some mocking, many surprisingly serious, and more than a few from people admitting they were asking themselves the same question.
It’s a conversation that might have seemed absurd five years ago. Today, it’s a legitimate corner of the internet where software engineers, product managers, and even former executives are quietly weighing their options. Not because they’re desperate, but because the math is starting to make a strange kind of sense.
The numbers behind this cultural shift are staggering. According to the tracking site Layoffs.fyi, 45,800 tech employees lost their jobs in March alone, making it the worst month for reported tech-job cuts in at least two years. Meta is slashing 8,000 positions. Microsoft is nudging roughly 7% of its U.S. workforce toward the door with a “voluntary retirement program.” Oracle, Snap, and Block (the parent of Square and Cash App) have all made major cuts in recent weeks, with Block alone eliminating more than 4,000 roles, representing 40% of its total headcount.
The justification is almost always the same: AI. Companies are frantically reallocating capital from salaries to chips and data centers, betting that algorithms can replace the very people who helped build them. Alphabet, Meta, Amazon, and Microsoft are collectively projected to spend $674 billion on capital expenditures this year, more than double what they spent just two years ago. Meanwhile, the humans are being handed boxes.
Into this vacuum of income anxiety steps a platform that generated an estimated $6.6 billion in gross merchandise value in 2023, with creators keeping 80% of what they earn. For someone accustomed to a $200,000 total compensation package, the calculus of monetizing personal content discreetly, on their own terms doesn’t feel as outlandish as it once might have.
Reddit threads in communities like r/financialindependence, r/layoffs, and r/cscareerquestions have become unlikely forums for this very debate. The recurring concern isn’t moral; it’s professional. Will a future employer find out? Does it affect a security clearance? What if a recruiter stumbles across an account? One thread in r/AskWomen drew particular attention when a former product director at a mid-size tech firm described weighing the platform as a “bridge income” option while job hunting in a suddenly cold market.
The answers from the community were nuanced. Many pointed out that with proper anonymization like pseudonyms, no face content, and careful metadata scrubbing, the risk is manageable. Others noted that the stigma is eroding faster than most people realize, particularly among younger hiring managers. A smaller but vocal contingent simply argued that anyone judging a laid-off professional for finding creative income in a brutal market has misplaced priorities.
There is a bitter irony baked into all of this that no corporate press release will acknowledge. The same companies celebrating AI as a liberating force are quietly generating a class of financially precarious, highly educated workers who have both the time and the motivation to explore unconventional income streams. Block’s CEO Jack Dorsey told employees “we’re not making this decision because we’re in trouble.” But the people who received that memo very much are.
Economists and labor analysts have long warned that the social costs of automation don’t appear on a balance sheet. They show up later, in ways that are harder to quantify: eroded morale, fractured careers, communities destabilized by sudden unemployment. Now add to that list the quiet digital economy of former tech workers monetizing whatever they have left to offer.
The tech industry is betting that the workers it sheds will simply be absorbed elsewhere into AI-adjacent roles, startups, or early retirement. Some will be. But for the thousands caught between an industry shedding headcount and an AI hiring boom that hasn’t fully materialized, the options feel narrower than the press releases suggest.
Whether or not OnlyFans becomes a meaningful part of that story, the Reddit threads will keep filling up. Because when the chip stocks are up and the severance pay is running out, people start asking questions that weren’t in anyone’s five-year plan.
