We Closed Our 24-Year-Old Software Company Because of AI - I'll Tell You How it Happened

Summary

Sean says his family closed its software company after 24 years, with AI as the final factor in the decision. He founded the business while working in aerospace and defense engineering, then left that work as the software business began generating revenue.

The company combined Sean’s software experience with his family’s metalworking background. Its products included CAD tools for designing decorative metalwork and artistic designs for CNC cutting. Over two decades, the company sold millions of dollars’ worth of software worldwide, and some products remain in use.

Sean says sales first declined in the company’s artistic CNC-design products around the time AI image-generation tools became widely available. He says experiments with those tools produced images resembling the company’s designs, sometimes with small changes. He believes publicly available designs had been collected by AI systems without permission. He also identifies AI’s ability to decompile and reproduce software as another threat to paid software products. He does not provide sales figures or quantify how much of the decline was caused by AI.

Sean’s central argument is that AI-generated substitutes and easier copying can undermine software companies’ ability to charge for their work—and, in turn, reduce incentives for developers and designers to create new products. He presents this as his view of where the industry is heading, rather than evidence that the entire software industry is ending.

Business Details and Metrics

• Company age: 24 years. Sean says it was founded in 2002.
• Sales: “Millions of dollars” in software sales over roughly two decades; no exact revenue, profit, or margin figures are given.
• Products: CAD systems for decorative metal products and artistic designs for CNC cutting.
• Sales trend: A “massive drop” in sales, first noticed in artistic CNC designs and later described as more serious overall. No percentage or timeline is specified.
• Closure: The company had closed about two months before the video was recorded.

Frameworks, Processes, and Business Implications

• Founder-market fit: Sean combined programming skills with firsthand metalworking knowledge to develop specialized products for fabrication customers.
• Parallel entrepreneurship: He started the company while still employed in aerospace and defense, then shifted his focus as the business began earning money.
• Threat assessment: Sean connected declining design sales with the emergence of AI image-generation tools, then identified software replication as a further risk. This is his account, not a quantified causal analysis.
• Business implication: Products whose value depends on digital designs or software may face greater exposure to imitation and AI-generated substitutes. The video does not offer a detailed response playbook, such as changes to licensing, distribution, or product strategy.

Presenter and Source

Sean is a software-company founder and host of the Drunken Intelligence channel.