I'm assuming Google's play here is to bleed its competitors of money and raise prices when they're gone. Building top-tier models is extremely expensive and will probably remain so.
Even companies that do it "on the cheap," like DeepSeek, pay tens of millions to train a single model, and total expenditures for infrastructure and salaries are estimated to surpass $1 billion. This market has an extremely high cost of entry.
So, I guess Google is applying the usual strategy here: undercut competition until it implodes and buy up any promising competitors that arise in the future. Given the current lack of market regulation in the US, this might work.
Even companies that do it "on the cheap," like DeepSeek, pay tens of millions to train a single model, and total expenditures for infrastructure and salaries are estimated to surpass $1 billion. This market has an extremely high cost of entry.
So, I guess Google is applying the usual strategy here: undercut competition until it implodes and buy up any promising competitors that arise in the future. Given the current lack of market regulation in the US, this might work.