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Coaching Networks: Humanity’s Fighting Chance

Artificial intelligence is about to give humanity a fighting chance to win the race against automation.

Out with the forms. In with the smarts. Contrary to all the fear mongering, our research shows that artificial intelligence systems can actually help us become more human.

Signature of Gordon Ritter

The artificial intelligence debate has raged for decades.

The debate between artificial intelligence (“machines replace us”) versus intelligence augmentation (“machines help us”) has been raging for decades. One side wants to engineer humans out of the equation, while the other thinks the role of machines is to help people perform better.

But that debate misses the point.

The two ideas aren’t mutually exclusive. It’s true that AI can do certain things far better than humans. But it’s also true that when AI starts doing those things, it will make us better at our jobs, and better at being human. We haven’t yet reached our full potential as a species, but AI can actually help us get there. As AI improves, we can either treat it as a crutch that relieves us from thinking (e.g. Waze, Google Maps) or as an asset that helps us use our brains more effectively and creatively (e.g. Textio, Chorus.ai).

We have more hope for humanity.

Our hope is that we choose to win the race against automation by choosing the latter. Otherwise we’ll be overtaken by the automation curve: Human workers will simply be cogs in business processes driven by machines. At that point the race will be lost. 

Contrary to popular belief, we believe artificial intelligence gives humanity a fighting chance in the race against automation.

Gordon Ritter

That may sound extreme, but then again we’ve built our presence on predicting the future.

Cycle of Coaching Networks

And we call that hope Coaching Networks.

Using shared data from human networks and the most creative ideas from outliers around the world, machines can help us with contextual, customized, real-time learning that improves us as professionals and as people. There’ll be a new set of software leaders that are born out of an entirely different data set than the one that started the software industry.

We call this thesis Coaching Networks. And it’s one we’re deeply focusing our investments on.

  • Coaching networks rely on a symbiotic feedback loop between machines and humans.

  • They are focused on the collective growth of human productivity, efficiency, and creativity.

  • The next era of business models will combine the best of consumer internet and enterprise software.

  • Business owners will buy software that make their employees more productive.

  • Large, specialized companies will evolve that are focused on the enormous commercial economy around Coaching Networks.