Mr. Vorhies seems to have forgotten to take into account the adoption curve in his predictions -- not that I think his predictions are wrong, but I think 2025 i

Mr. Vorhies seems to have forgotten to take into account the adoption curve in his predictions -- not that I think his predictions are wrong, but I think 2025 is waay too early for that change to take effect to anyone other than the 1%, bleeding edge, early adopters. The other 99%? Probably decades. From my point of view, what I see is that most large organizations haven't even started using standardized, one-stop-shop accessible data warehousing practices, and aren't headed to hit that target by 2025. What you find is strong data-driven processes in areas like shipping, warehousing and production -- these guys know what's going through their chain down to the individual proton. But in most cases I've seen, the service and enabler departments, be it Finance, HR, IT, etc. are way behind on that curve. This isn't due to the technology itself, of course, but because mindsets need to be changed. And that can in no way happen in 10 years. That being said, I think we are seeing a very distinct technological acceleration ramping up in the next years, when Machine / Deep Learning takes off in full. The immediate conclusion is that it shouldn't be surprising for ALL 3rd-sector jobs to eventually be fully automated in the near future. Call it The Deep Wave. Links: This Stanford School of Business panel, held in 2014, has the best 20-minute breakdown of the possibilities of Deep Learning. Given by Steve Jurvetson (investor in Tesla, SpaceX, Hotmail, Baidu, etc.), its scope is genius, and I think it's a must-see. https://www.youtube.com/watch?v=czLI3oLDe8M https://www.youtube.com/watch?v=czLI3oLDe8M Edit: clarification.