Automation Risk Levels


A popular question these days is: Will a robot take my job? That question is as popular as: what should my child study in school? At the heart of both questions is the fear that we as a society will automate anything that can be automated. This website may help bring some clarity – at least in the context of automation risk level. It’s very quick, simply enter your job and an automation risk level expressed as a percentage will be returned.

The Automation Spectrum

Ultimately, these questions are difficult to answer, as we cannot predict the jobs of the future – and required skill levels could be a moving target. The progression of automation can be viewed on a spectrum from augmenting humans to fully conscious machines. There are arguments being made on both ends of this spectrum – time will tell.

Optimist or Pessimist?


In late 2016, having just finished reading The Rise and Fall of American Growth, I was thinking about an underlying theme of the book – the views of techno-optimists versus those of techno-pessimist. In the context of the books narrative, the techno-optimist believes that future innovations will indeed drive a resurgence of growth – albeit at the expense of jobs. The pessimist sees no return to growth and believes our best innovations are behind us. Two years ago, I posed a question via a Post: Are you a techno-optimist or techno-pessimist?

Continue reading

Mind-reading AI can see what you’re thinking and Draw a Picture


The brain is clearly one of the next great frontiers. In this World Economic Forum Article on reading minds, we get a glimpse into the exponential progression of brain science. The author cites research published by AI experts in China, the US and Japan showing that computers can replicate what people are thinking by using functional magnetic resonance imaging (fMRI) machines that measure brain activity – linked to deep neural networks that replicate human brain functions.

Continue reading

Dots in a Complex System are Connecting Rapidly


In their now popular book on The Second Machine Age Andrew McAfee and Eric Brynjolfsson describe one of the forces behind our accelerating pace. This force could be key to understanding the dynamics of our environment; the number of potentially valuable building blocks is exploding around the world, and the possibilities are multiplying like never before.

Continue reading

Unlearning May be our Biggest Challenge


The illiterate of the 21st century will not be those that can’t read or write, but those who cannot learn, unlearn, and relearn – Alvin Tofler, Rethinking the Future. 

As we all become life long learners, unlearning could be our biggest challenge. Our mental models prevent us from seeing the need for change. We are creatures of the only world we have individually known. Even if you are one hundred years old, the mental models established after humanities second Tipping Point dominate your thinking. They form our intuitions and belief systems.

Continue reading

Monetization Strategies in Emerging Ecosystems


Emerging Ecosystems

As horizontal ecosystems become the primary means of value creation and capture, organizations will embrace various monetization strategies. Given the proven growth potential of platforms (the foundation of ecosystems) and the increasing collapse of Industry boundaries, the urgency to understand ecosystem dynamics is growing. Ecosystems enable producers and consumers to interact in ways that create shared value. In many cases, stakeholders will play either role at any given time – a phenomenon some have called side switching.

Continue reading

The Future of AI – Predicting, Preparing, and Thriving in our Changing Future


I had the pleasure of recording a Podcast with AJ Goldstein on a wide ranging set of topics. The central theme was artificial intelligence. We took a journey to the future and explored several possible paths for artificial intelligence. AJ had the following kind words to say as he shared the Podcast in various channels:


Last month I had the opportunity to sit down with one of the world’s leading futurists, Frank Diana, to discuss the future of artificial intelligence.

Today the episode has been released, and it’s one of the most meaningful conversations I’ve had on the podcast.

Rather than provide a subjective one-sided view, with every question that I asked about the future of AI, Frank responded with presenting both sides. He helped me understand “what does the optimist say?”, “what does the pessimist say?”, “what is the utopian view?”, “what’s the dystopian view?”… and in this way it quickly became one of the most balanced conversations I’ve had the chance to be a part of.

With over 30+ years of experience to pull from, Frank provided so many fascinating lenses through which to view our changing future… all the while outlining an insightful playbook of what we can do as individuals, communities, and societies to prepare for the inevitable change that’s going to come.


AJ drove the discussion on the following topics:

  • Addressing the two tipping points that have occurred thus far in humanity and changed what it means to be human– and the coming third tipping point.
  • Addressing some of the common fears that people have about the implications of advanced AI and robotics on the future.
  • How the shift to an automated society might cause initial elimination of jobs, but ultimately will allow more time for pursuit of creative, entrepreneurial endeavors.
  • A discussion on the characteristics needed to succeed in a world of change, and what you personally should do to prepare for it.

Enjoy the show!