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AI’s "Free Software" Boom Just Showed How the Bubble Dies

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AI’s "Free Software" Boom Just Showed How the Bubble Dies

Edited #1

Peter Martin

https://www.youtube.com/watch?v=AdQQXU3E_mA
This video explores the current investment tension surrounding AI, highlighting two competing market bets that suggest a bubble: that AI will render traditional software worthless, and that AI companies themselves may fail to generate sufficient returns to repay their massive debts.

  • The "Free Software" Claim: Developer Brandon Thomas recently released free AI-generated alternatives to Adobe software. While technically impressive, analysis shows these tools currently handle only about 25-35% of professional needs and lack the reliability required for industry use.

  • Historical Context: The video notes that free alternatives (like GIMP or LibreOffice) have existed for decades without displacing dominant paid software, suggesting that price alone is not the deciding factor for professionals; trust, workflow integration, and file compatibility remain paramount.

  • The Lending Shift: Lenders have dramatically reduced financing for AI-linked projects—dropping from $113 billion in June to $23 billion by September—and are charging higher risk premiums, as evidenced by rising costs to insure debt for companies like Oracle and CoreWeave.

  • Where the Value Lands: The video posits that if AI-driven savings in code development aren't fueling massive AI corporate profits, the value may simply be flowing to the end-users through lower costs or remains captured by foundational model makers.

Ultimately, the video concludes that neither bet holds up perfectly: software is not "over," and while AI has made copying code cheaper, it has not yet fundamentally broken the business models of established industry leaders.

Re: AI’s "Free Software" Boom Just Showed How the Bubble Dies

#2

While us personal users may shudder at the cost of higher level software, for a company the dollar cost is only one, and likely not the major factor most of which were mentioned in the Historical Context above. The real total cost for a company to have a PC on corporate network. When you consider, hardware, software, and support/admin costs for the whole system. it can be over $2000 per year per PC.
Years ago, when personal computers were starting to make inroads, the company I worked for would not allow any use of shareware. The concern was that someday the shareware might be made proprietary and there would be copyright/usage issues to deal with. In other words, a cheap approach may turn out to be an unworkable (from lack of support or changes) or expensive approach.
The Lending Shift above is reflected by many stock market analysts who consider the big bubble in the AI stocks is due to them being way oversold based on unrealistic current expectations. This probably will normalize but somwhat reflects the early days of the big swing to office automation. A report by the Garner Group way back then showed that companies were not realizing the projected gains by spending on automation. Of course, this isn't where we are now (or is it?).

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