For this week, we'll zoom into the first step on the "core engine" about technology becomes innovation.

This core engine mostly is about three forces: the hype cycle, diffusion of innovation, and Moore's law. As in the past, I already addressed the first two forces, I thought it'd be better to focus more on Moore's law and, more broadly, what tech power laws mean...

  • As a quick reminder, here's mostly what you need to know about using the Hype cycle framework:
🟒 Gartner Hype Cycle: signal or noise?
Gartner Hype Cycle has become a standard tool for most corporations involved in technology (but at this point, who’s not?). In my experience, it’s still poorly understood and often leads to wishful and sometimes even magical thinking. Let’s try to fix that.
  • And how it's linked to the diffusion of innovation principle (here applied to an incubation program, but you'll get the general point):
🟒 Timing technology push and market pull for incubation programs
One of the most requested frameworks I often have from corporate customers is how Gartner’s hype and innovation diffusion work together. To my knowledge, this is weirdly never discussed. So despite this summer’s heat waves here goes…

Admittedly, these two first discussions are already quite a lot of things to digest, so let me try to get to the point with the extra layer of adding the influence of Moore's law all of the above...

What is Moore's law?

Initially, as you probably know, Moore's law states that the computing power of a microchip doubles approximately every two years, leading to exponential growth in computing power and efficiency. And although called a 'law,' this is anything but. It's rather a self-fulfilling prophecy invented by Intel in the 70s that somehow has still been followed up surprisingly well by chip manufacturers until now.