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Software engineer Eric Elliott says: Three years ago I earned $500,000 a year, now I live in my car

On October 29, software engineer Eric Elliott posted on X and published a Medium article saying that three years ago he earned $500,000 a year in the tech industry, but is now homeless, living in his car, and unable to find a job.

Elliott said that he has 28 years of work experience, has written three technical books, has worked in AI engineering since the 1990s, and has worked on products including Adobe Creative Cloud, Adobe Firefly, Google Search and YouTube. In the article, he detailed that after ChatGPT was launched, monthly blog readership for his developer coaching and consulting business fell from about 700,000 to 7,000, and his customer acquisition channels ceased to work; he then worked on Firefly-related projects at Adobe, was laid off in October 2025, was evicted in the summer of 2026, and is currently living in his car, showering with a gym membership, storing his belongings at a friend’s place and in a distant warehouse, and is still applying for engineering management positions.

The post received hundreds of reposts and replies. Some replies questioned how a high earner could so quickly end up homeless; Elliott attributed his experience to the impact of generative AI on software engineering jobs and consulting models, and said it was a warning about the future of work.

Original source:

  1. Title: Three years ago, I earned $500k/year in tech. Today, I’m homeless, living in my car. 28 years of experience. Three technical books. AI engineer since the 1990s. And I can’t find a job. My story is a warning about the future of work. Publisher: Eric Elliott (@ericelliott_) Publication date: 2026-10-29 URL: https://x.com/ericelliott_/status/2115888124475945042 Source nature: original post by the person involved Verification status: the full original post was actually read in this report (2026-10-30) Supporting content: Elliott’s own statements that he earned $500,000 a year three years ago, is currently living in his car, has 28 years of experience, has written three books, has worked in AI engineering since the 1990s, and cannot find a job

  2. Title: AI Made Me Homeless. How a $500k/Year AI Engineer Lost Everything Publisher: Eric Elliott (Medium) Publication date: 2026-10-29 URL: https://medium.com/effortless-programming/ai-made-me-homeless-a7266d716e59 Source nature: article by the person involved Verification status: the relevant paragraphs of the article body were actually read in this report (2026-10-30) Supporting content: Elliott’s detailed self-report that his consulting business saw traffic plunge after ChatGPT, his work on Adobe Firefly and layoff in October 2025, his eviction in the summer of 2026, his current life in his car, and his job search; this does not prove the income figure was independently audited

ABAB AI Insight

Eric Elliott has long worked in JavaScript- and AI-related engineering and writing, and his blog was once the main customer acquisition channel for his coaching business. The article describes that after ChatGPT became widely used, developers could obtain coding guidance directly through AI, causing his monthly readership to drop from about 700,000 to a few thousand, leaving him with insufficient new customers and a decline in business revenue. He later joined Adobe to work on the Firefly platform, but was laid off in October 2025, and his savings were exhausted during relocation and job hunting.

In 2026 he resumed consulting, briefly landed a large project, then lost clients and saw his income fall sharply again, eventually leading to his eviction in the summer. The article places his personal experience against the backdrop of roughly 170,000 layoffs announced by U.S. tech companies in 2026 and large buyout offers from companies such as Microsoft, saying that even experienced engineers face intense competition.

Compared with other public cases of high-earning tech workers after job loss, Elliott’s case is distinctive in that he directly attributes the collapse of his business model to generative AI replacing traditional coaching and content-based customer acquisition channels, rather than to layoffs at a single company alone. He also wrote about homelessness and technology in 2017, but that situation differed from this self-report.

This public self-report makes the current living situation of an engineer with long-term technical writing and big-tech experience a traceable personal statement, while the income, reasons for the layoff, and degree of AI impact remain based on the person’s own account. He continues to apply for positions and offers AI engineering services at $100 per hour, indicating that job searching and short-term contracting are proceeding in parallel.

ABAB News · Cognitive law

  1. When content customer acquisition channels fail after AI tools become widespread, consulting business revenue that depends on those channels can be interrupted.

  2. High income and long-term technical accumulation do not automatically translate into housing and cash buffers after unemployment.

  3. When the person involved attributes layoffs and business declines to AI, that attribution remains a self-report, not an independently verified causal link.