The white collar worker doesn't need to be replaced for the bots to be profitable. They just need to become dependent on the bots to increase their productivity to the point where they feel they cannot do their job without the chatbot's help. Then the white collar worker will be happy to fork over cash. We may already be there.

Also never forget that in technology moreso than any other industry showing a loss while actually secretly making a profit is a high art form. There is a lot of land grabbing happening right now, but even so it would be a bit silly to take the profit/loss public figures at face value.

>We may already be there.

Numbers prove we aren't. Sales figures show very few customers are willing to pay $200 per month for the top AI chatbots, and even at $200/month, OpenAI is still taking a loss on that plan so they're still loosing money even with top dollar customers.

I think you're unaware just how unprofitable the big AI products are. This can only go on for so long. We're not in the ZIRP era anymore where SV VC funded unicorns can be unprofitable indefinitely and endlessly burn cash on the idea that when they'll eventually beat all competitors in the race to the bottom and become monopolies they can finally turn a profit by squeezing users with higher real-world price. That ship has sailed.

> They just need to become dependent on the bots to increase their productivity to the point where they feel they cannot do their job without the chatbot's help

Correct, but said technology needs to be self sustaining commercially. The cost the white collar worker pays needs to be enough to cover the cost of running the AI + profit

It seems like we are a long way off that yet but maybe we expect an AI to solve that problem ala Kurzweil

Why are this and the first reply being downvoted? Perfectly legitimate thoughts.

Anyway, I'd just point out that users don't even need to depend on the bots for increase productivity, they just need to BELIEVE it increases their productivity. Exhibit A being the recent study which found that experienced programmers were actually less productive when they used an LLM, even though they self-reported productivity gains.

This may not be the first time the tech industry has tricked us into thinking it makes us more productive, when in reality it's just figuring out ways to consume more of our attention. In Deep Work, Cal Newport made the argument that interruptive "network tools" in general decrease focus and therefore productivity, while making you think that you're doing something valuable by staying constantly connected. There was a study on this one too. They looked at consultants who felt that replying as quickly as possible to their clients, even outside of work hours, was important to their job performance. But then when they took the interruptive technologies away, spent more time focusing on their real jobs, and replied to the clients less often, they started producing better work and client feedback scores actually went up.

Now personally I haven't stopped using an LLM when I code but I'm certainly thinking twice about how I use it these days. I actually have cut out most interruptive technology when I work, i.e. email notifications disabled, not keeping Slack open, phone on silent in a drawer, etc. and it has improved my focus and probably my work quality.