Picking the right drug is a lottery game in itself that involves portfolio strategy, biologic modeling of your product efficacy and safety, optimization of yields, and "field testing". Then you still have to build the right distribution channels to the patient and find someone to pay for your product. Even reproducing drugs is not a trivial thing, as you need to re-certify production plants. In the case of biologics it is even more complicated.

Unless we burn enormous amounts of cash or set up specific incentives, there is not way we can bring primary socially motivated drugs to the market with the current risk structure of the industry.

Pharma is one of the most complex playing fields there is. The sad thing is that we might strongly overstimate the ability to significantly improve the development of new drugs through AI in the next 10 years.

Get million out of thousand people or ten out of billion people... Later would be preferable.

Google “number medical students over time”

Then google “number residency slots over time”

Then notice how both of them have been increasing significantly over time.

Then compare the income percentile for doctors in US vs say Canada, Australia etc. all are top 1-3%. Doctors are paid well relative to median salary in every first world country.

Then google “physician percent healthcare costs” and learn that physician pay is about 8-10% of total healthcare spending. Then realize about 40% of that $ immediately goes back to the government via various taxes, so even if you paid physicians nothing you’d only save about 5% of healthcare spending.

Do you not try to verify any information you read before confidently regurgitating it at a later point? You really should…