My last several posts have all tiptoed around the topic of growth economics. Today I’ll try address it head on. But first a disclaimer: I am not an economist and I’ve never taken an economics class in my life. If you can offer a better description of growth theory, correct any mistakes that I make, or suggest some good links, articles or books, please use the comments section to do so. Economic growth theory holds that booms happen as a result of innovation and the introduction of new technologies. As much as 50 percent of industrialized countries’ GDPs and 75 percent of productivity growth can be attributed to these innovations. Historic examples are railroads and steamships, and more recently semiconductor capacity and the Internet. Traditionally the place where the innovation occurred benefits the most. Here’s an article that goes into some more background, but be forewarned that it makes the Sahara look like a rainforest. Growth theory and our ability to keep innovation in the U.S. seems to be where the discussion in the IBM/Lenovo thread is headed. The just released Bush budget adds some fuel to the fire. It’s basically bad news for R&D. The proposed spending doesn’t keep up with inflation and the research budget (the “R”, which is the foundation for future innovation) actually decreases in real dollars. Lastly, the results are in from a poll I worked on with the CIO executive council, and it shows that CIOs realize that the government’s approach to technology is in shambles. The full results are here and here’s a link to a rather long summary of the findings. In my opinion, the biggest shocker in the survey is that more CIOs think that the U.S. will not be the world’s innovation leader in 15 years than think we will be. I can’t say that I agree with them – 15 years isn’t that far from now – but I think that the trend is clearly headed in that direction. I have a feature story coming out in April that looks at the current innovation ecosystem in the U.S., what countries like China are doing, and makes some suggestions for things that our government could to help (no, they do not involve copying China in anyway). That’s still a couple months away though, so in the meantime let’s keep the conversation going. Related content brandpost From edge to cloud: The critical role of hardware in AI applications The rise of generative artificial intelligence By Broadcom Jun 06, 2023 5 mins Machine Learning Artificial Intelligence brandpost The new value calculator: Levers for business optimization Squeezing maximum value out of your data is not only about cost-savings—it’s time to create significant potential by transforming your competitive position. By Sandrine Ghosh Jun 06, 2023 5 mins Data Management brandpost The new wave of data observability Innovative ‘applied observability’ can detect issues and diagnose their root causes swiftly and effectively. By Sandrine Ghosh Jun 06, 2023 4 mins Data Management brandpost Let Business Needs Guide Your Winning Data Team With skill shortages continuing, IT leaders must optimize their data science team investment. Start with your organization’s key objectives. By Paul Gillin Jun 06, 2023 3 mins Business Intelligence Podcasts Videos Resources Events SUBSCRIBE TO OUR NEWSLETTER From our editors straight to your inbox Get started by entering your email address below. Please enter a valid email address Subscribe