How many signups is Google getting for that? Will it sustain their capital expenditure and cover the depreciation? All sever equipments come with an expiration date. Based on my experience, all the LLMs have an initial cool factor that wears off pretty quickly. The productivity boost is questionable at best and downright negative in many cases. This is true in many AI projects. Just look at the Computer Vision geniuses that gave us Amazon Go Indian Mechanical Turks.
> All sever equipments come with an expiration date
Corporate mindset. When I worked at a major cloud provider the platforms group evaluated the ongoing economic cost/benefit of existing machines and every year the decision to retire ancient machines was "not yet". A suit-wearing corporate IT guy gets new hardware every 3 years. GCP will still rent you a Sandy Bridge machine from 2011. EC2 still has Haswell CPUs in its mainstream offering and if you really want them they have Harpertown Xeon from 2008 available.
I also question the actual productivity benefit, but I'm not sure most large corporations are so rational in their decision making. Once they've bought Gemini and CoPilot licenses for whole swathes of the business (something which it seems we're still at the beginning stages of), then how likely are they to reevaluate and go back to the old "manual" way of doing things? It's a bit like the "no-brainer" decision to outsource developer jobs to India, based on lower salaries, and then subsequent failure to measure productivity to see if it is really paying off.
I work with Indian developers. They are usually less motivated and laidback compared to Americans. The famous Indian polychronic time culture is real. Bad developers regardless of geographic location can create garbage and the more motivated they are the more garbage they generate. So, good developers is best, followed by unmotivated bad developers under the supervision of good developers.
