I disagree with your premises. The hard part of AI is the algorithm itself. Google's supercomputers would be an advantage if you had an AI already and wanted it to take off as fast as possible. Maybe an AI running on a Google computer would take off in a day instead of a month. Not to mention how fast computers will be in 30 years or what the distribution of computing power will then be. 30 years ago Google wasn't even around and computing power has grown enormously since then.

The amount of data available is an even smaller advantage. I don't really think it's an advantage at all. The internet has virtually unlimited data if you need it, and there is no reason an AI wouldn't be just as smart working with a very limited data set or just on some optimization problems with no external data at all.

Google doesn't make up the majority of AI research. A good portion sure, but not the majority. Further I don't think the approaches they are investing in are likely to lead to AGI.