Thanks for linking this video and your comment in my feed.

I believe we have enough data to utilize the processing power. There are data about anything we do stored somewhere in some data centers.

I don't think the size of data set would be our future bottleneck, instead the speed of reading/writing data. How fast is your disk transfer rate? How fast does the network transfer that data? Did we fully utilize all available nodes that can be used to do calculation in the same cluster? Does the program even know if there was an available node idling in the system? What is the most optimized scheduling algorithm? Questions can go on and on.

Well, at least this is my option.

In term of the price per processing power will go down (mentioned in the video), did we see cost of our data center go down? Or the price of our personal computer? This is a rich man's game.

Yes, we probably will see an affordable nVidia Tesla for personal use in a couple of years. However, by that time, big companies like Google, Facebook, or Research centers in MIT, Stanford have already moved to next bigger/better things. An individual/small entity just do not have the resource to fight against them.

I remembered a professor discussing about research in the small university where I work at. "When we are doing a research, and find out big companies like Google are doing the same. We move onto another topic. We can't compete with them."