When Will AI Meet Cash Flow Reality?

When Will AI Meet Cash Flow Reality?

Where’s the AI Cash Flow?
AI in the Future
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For the last two years, I have been writing about the promise of Artificial Intelligence, noting the extraordinary, unbelievable, galactic-sized capital investments needed to move this new technology forward. And while I am a believer in the impact of AI, I have been steadfast in maintaining that not every hyper-scaler is going to be successful and profitable. We just don’t know which ones yet. The cash flow return numbers we see from the AI companies in their investment presentations as they seek literally hundreds of billions of dollars of financing are possible for any one given company, but they are not possible in the aggregate. There will be losers.

At some point, the market is going to realize that those outsized investments have to have outsized returns in order to be able to justify them. From time to time, we see some analysis that agrees with that thesis, but just like the hyper-scalers in their presentations, there are a lot of assumptions that make the analysis interesting but not particularly useful.

Until now. The last week has seen a number of different analysts talking about what are clearly cracks in the AI fundament. For those of us with a few gray hairs, we can remember the same scenario in the late 90s as a slow trickle of question marks around the viability of some of the dot-com era companies became a flood and then we had a crash. Eyeballs and clicks were not cash flow. The demand for Cisco routers was not infinite even though the stock suggested that it would be. Cisco took 20 years to recover pricewise after its stock crashed, even as revenues and profits kept increasing. The stock got ahead of itself simply on enthusiasm.

I should point out that the original point the market and investors of that era were making was that the Internet was going to be this powerful economy-changing tool. And in fact, the Internet changed things far more than even most of the most enthusiastic proponents believed. I remember being skeptical of Amazon in the early 2000s. I was clearly wrong, but it took the stock price a little while to demonstrate the potential growth. And nobody was talking about a company that would be worth $2.7 trillion in 25 years.

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See more: AI Made Your Service Faster, but How Do You Get to “Better”?