This is classic commoditization of your complement. On one hand, Google is pushing to centralize the integration, data management and computing platforms for machine learning, so that these things become as much of a commodity as possible.
On the other side, they are offering massive compensation packages or acqui-hiring as much AI talent as they can, not really because they have useful work for these folks to do, but to artificially reduce the supply of statistical algorithm talent, making their consulting and pre-packaged AI solutions go up in value in a manner that is pretty much the same as De Beers pushing silos full of diamonds to keep diamond prices artificially high.
This is very much the opposite of democratization, and my advice to anyone considering services like this or like Amazon’s out of the box models, don’t do it!
If you think it’s going to save you money over paying competitively to get your own in-house machine learning staff, you’re wrong, and you’re going to waste probably hundreds of thousands of dollars before you learn you’re wrong.