And save a ton of money at the same time.
I have found Bing and Bard a lot more efficient for tasks where you need to look stuff up on the web, probably because they both have local access to a crawler index. They do tend to need more guidance though.
I'm sure serious competitors are just around the corner, at least Bard will catch up, No doubt Apple has something in the works, there's little to zero doubt about that.
So do they make a huge capital investment hoping that growth will continue at this trajectory, or do they back off the gas pedal ?
I bet there's also some contentious ideas going on internally too. If they go on a huge hiring spree, does that kind of invalidate the product which is supposed to replace everyone? How do the optics look there? Do they hire and fire once GPT-5 becomes a sentient AGI?
Google already has a huge engineering team, operates are unprecedented scale, and IMO has a much more diverse set of products to integrate with, they also solve a lot of novel solutions which they require specialized engineers that can't be replaced easily by "AI".
Be interesting to see how it plays out. Maybe a victim of their own success ?
Once everyone has their prompts and embeddings tuned and is serving customers, OpenAI can dial up the price and customers chose to keep paying or redo their prompts/embeddings to switch to Bard or the next competitor. It does seem like business as usual if you relied on GPT-3 now ChatGPT, then whatever iteration comes next, probably won't work the same, so its not a heavy heavy lift. Decent platform risk, I believe OpenAI shutdown Codex so now everyone who had a product based on Codex has to switch to ChatGPT
How?
I would wager against comment 0 that said that this will materially affect earnings.
People here wanted Google scale of operations and replacing Google with ChatGPT as their search engine.
But it seems that some here have forgotten about the high availability requirements and incalculable operational costs of running a search engine. Google.com's availability is a very high barrier of serving in the multi-billions of searches a day.
Azure has lots of experience in unreliability and running services at a massive loss whilst minting credits to compete on cost.
What is the true marginal cost to MSFT for gpt workloads anyway? As long as it's not bumping paying customers then it's what the cost of electricity?