But that isn’t enough. You can’t actually ‘disrupt’ an industry with a technology that most consumers don’t like. There are many of those. To distinguish a disruptive technology from a mere bad idea or dead-end, you need a second criteria — the technology has a fast path of improvement on precisely those metrics the industry currently values. So your low powered drives get better performance and capacity. It is only then that the incumbents say ‘uh oh’ and are facing disruption that may be too late to deal with.
Herein lies the contradiction that Christensen has always faced. It is easy to tell if a technology is ‘potentially disruptive’ as it only has to satisfy criteria 1 — that it performs well on one thing but not on the ‘standard’ stuff. However, that is all you have to go on to make a prediction. Because the second criteria will only be determined in the future. And what is more, there has to be uncertainty over that prediction.
To see this, suppose that it was obvious that criteria 2 was satisfied. Then it will be obvious to all — entrants and incumbents — what the future might look like. This is precisely what happened for web browsers when Microsoft ‘wised up’ and saw the trajectory. In that situation, a disruptive technology does not end up disrupting the establishment at all. They have seemingly an equal shot of coming out on top: indeed, a better shot when you consider they already have the customers.
What is required for the theory to be complete is that it is not known whether criteria 2 is satisfied or not. That is what creates the ‘dilemma.’ For an incumbent, it is costly to bet on a new, unproven technology when things are going fine with the old one. And as Lepore points out: there are plenty of situations where incumbents have gone with the new too soon only to have huge losses as a result. ...
If it had all stopped there, this would have been respectable. But Christensen did not. He saw his theory as predictive even though its own internal logic says prediction is impossible. That’s why he missed the mark on the iPhone. That is why his case studies can be right unless you wait a little longer in which case they are no longer predictive. The Innovator’s Dilemma is like Heisenberg’s Uncertainty Principle. You can’t get around it and Christensen’s failing is that he has sold it as something you can get around.
Take his prescription that established firms ‘disrupt themselves.’ This is crazy talk to an economist (which is one reason he doesn’t like us). Suppose you take resources and invest in your own disruptor. If disruption occurs, you still lose the entire value of your existing business. All that has happened is that you have kept your name alive. The retort may be that something can be preserved but remember, Christensen is essentially saying firms need to act as if nothing can be preserved. I don’t mind the idea that established firms should not be complacent but hastening their demise on speculation seems weird when there is no upside.
Instead, the focus on the doomed incumbent leads Christensen away from the obvious alternative. The incumbent should ‘wait and see.’ They will see all manner of potentially disruptive technologies being deployed and instead of removing them from their radar as irrelevant, they should continue to monitor them to see what happens. Because, when the one in ten or a hundred or whatever turns out to be successful, they can then move to acquire them and realise a more ‘orderly transition’ to the new technology.
--Joshua Gans, Digitopoly, on disruptive innovation theory as a just-so story