(It's probably already clear that there's a lot of power in an AI-first approach, but it's worth noting that this change didn't just happen with Sundar's blog post last month. A better way to look at it is to realize that if Google has been running their custom machine learning ASICs for over a year now, they must have started designing them well before that, which, to me, was amazingly early. Google acquired DeepMind in 2014.)
Not all those bets will, or have to, work, as long as some of them work out really well. I'm curious to see what happens with VR, for example. But I think AI is the most obvious central bet, in the same that that mobile was beforehand.
https://www.amazon.com/Atari-Inc-Business-Curt-Vendel/dp/098...
The ANTIC podcast also has some absolutely incredible interviews with folks form the era: https://ataripodcast.libsyn.com/
"Racing the Beam" is a more technical analysis of some of the early Atari platform development for the VCS/2600. This platform was Atari's cash cow and they failed to really pivot away from it. https://www.amazon.com/Racing-Beam-Computer-Platform-Studies...
These are probably good starting points.
I've been studying Atari for quite a while, there's so many interesting pieces to the company and their success and failure, and it's all been so well documented and autopsied that it makes for a marvelous case study that still has amazing applicability today.