Lessons from Elon Musk on Innovation


Here’s to the crazy ones. The misfits. The rebels. The troublemakers. The round pegs in the square holes. The ones who see things differently. They’re not fond of rules. And they have no respect for the status quo. You can quote them, disagree with them, glorify or vilify them.

But the only thing you can’t do is ignore them. Because they change things. They invent. They imagine. They heal. They explore. They create. They inspire. They push the human race forward. Maybe they have to be crazy.[1]

Siltanen, Rob. Forbes. “The Real Story Behind Apple’s ‘Think Different’ Campaign”. 12/14/2011.

I stumbled across this suggested post on Reddit with the headline, “Has Elon Musk gotten anything right with regards to self-driving cars?” There are many lessons we can learn from Elon Musk on Innovation if we pull this question apart.

There’s a book about predictions about large technological milestones. It changed how I view futurist predictions and science reporting, too.

The book is titled, The Structure of Scientific Revolutions by Thomas S. Kuhn.[2]

The translation from German could have been better, but ultimately it is a useful read.

The basic nugget is that there is a cycle to scientific breakthroughs. Generally, scientific breakthroughs driven by business happens faster than that of academic The basic nugget is that there is a cycle to scientific breakthroughs. Generally, scientific breakthroughs driven by business happen faster than that academic science. Business-driven breakthroughs tend to have more unintentional side-effects on society, whereas academic-driven breakthroughs tend to be a bit more circumspect, but take forever-and-a-day to amount to anything because of egos, the validation study process, funding, etc.

II extrapolated from Kuhn’s controversial work using other sources, and have observed that most predictions are wrong. This was reinforced by Nassim Taleb [3] in his book, the amazing work being done by Seth Stephens-Davidowitz, Ph.D. [4] regarding structural racism, and many others.

So then what to believe about Elon Musk and his predictions?

  1. He’s a CEO and an engineer, not a scientist.
  2. He’s also a futurist and gets a lot of press coverage because he is:
    • A visionary
    • A rebel
    • Appeals to American populist culture by challenging the status quo
  3. He sets up his company to use hypothesis-based innovation product development practices: measure-learn-build-repeat[5]
    • Every one of his companies is generally out-innovating incumbent product-category enterprises at about a 5:1 ratio.
    • He can release new versions of his product faster than most companies can know what product to build
    • His companies build sensors/telemetry that feeds cognitive machines for human-computer deep-learnings and insights where traditional/incumbent companies are still using traditional mass-production, product management practices from the 1960’s/1970’s (aka “Build it and they will come”), which the Cluetrain Manifesto calls out as no longer workable in the Digital Era

So is he wrong about his predictions? Of course, he is.

Are his predictions being given more airtime than they should because he is perpetually wrong? Of course. It’s called, “Celebrity CEO” status, and why the SEC is after him. That’s what Innovators do.

VisVisionaries are always this way. They “Think Different”™.

[1] Chou, Yu-kai. Actionable Gamification: Beyond Points, Badges, and Leaderboards (p. 73). Octalysis Media. Kindle Edition.
[2] Kuhn, Thomas S.. The Structure of Scientific Revolutions. University of Chicago Press.
[3] Taleb, Nassim Nicholas. The Black Swan: Second Edition: The Impact of the Highly Improbable (Incerto). Random House Publishing Group.
[4] Stephens-Davidowitz, Seth. Everybody Lies . HarperCollins.
[5] Chou, Yu-kai. Actionable Gamification: Beyond Points, Badges, and Leaderboards (p. 73). Octalysis Media. Kindle Edition.

Post Disclaimer

The information contained on this post is my opinion, and mine alone (with the occasional voice of friend). It does not represent the opinions of any clients or employers.


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