

Understanding technology innovation cycles has become increasingly critical. The innovation cycles coherently explain why industrialized nations have these days become mired in low growth. And even this low growth is for the most part being driven by deficit spending. The economic impact to the middle class could not be anymore acute as the majority are working for wages which are anything but living wages. This has naturally given rise to anger and populism.
Why? Click the textbox below to get the context and the condensed explanation for how technology cycles are the major driver for the world as it has evolved since the onset of the Industrial Revolution.
Technology cycles (aka long waves or Kondratievs), have gone “Hollywood.” This means the mountain of misinformation is growing. The primary mission of this site is to house a clear history for the models. While dispelling the myths which have grown up around them. Secondarily, for those looking for solutions to current problems, this information could not be more relevant. The reference material is also intended as a potential spark in new thinking.
Today AI is being credited with everything good and bad. The reality is AI is very immature today. As it matures, the ability to train it AI to model the technology cycles will become increasingly feasible. Particularly if AI is given logic and data from more than one way to ascertain the outlines of the technology cycles. This is the last mission of this site. Link
Evolutionary economics is not yet mainstream economic canon. Many believe that understanding core innovation cycles are more germane than macro economics models. Utilizing the tech-cycles as the baseline for the industrial era could provide tremendous insights and breakthroughs in the rising field of evolutionary economics.
There are new and interesting methodologies validating the existence of the great technology surges. One way is to demonstrate how technological innovation quite literally invented modernism.
Examining technology cycles impacts visually. The clarity of these visualization studies can be quite remarkable.