Mike Parsons
innovation. storytelling. lifehacking. music

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The Shift that all Entrepreneurs Must Understand

 

There’s a big shift that underlies the obvious disruption that Facebook and iPhones have caused. But that’s not really the point. We all see this change. We live it! 

The big, and maybe not so obvious picture is that we are shifting to the information age at a vast rate.

It’s not just the gadgets we use or the apps. The way we live and work has radically shifted in a lifetime. Moore's Law has lead to exponential change. A majority of the US Economy is service and information based. Agriculture and Industry make up less than 25% of the US economy. Go back 100 years and these numbers flip.

infoec.jpg

If entrepreneurs study this shift, they will find a world of opportunity. Here’s what a shift from the Industrial to the Information Age looks like.

Industrial age to Information age

  • From machines to data
  • From manufacturing to problem-solving
  • From organization to integration
  • From stability to change
  • From Factory worker to Knowledge worker
  • From Top down to bottom up
  • From Capital to knowledge
  • From mass production to automated production
  • From Teachers to Self-learning

Change is a Constant

From the Fortune 500, to Start Ups, to the way we consume media. Everything is changing.

“Digital is the main reason just over half the Fortune 500 companies have disappeared since the year 2000.

Pierre Nanterme, CEO Accenture, 2016

Travel and hospitality Redefined

Since founding nine years ago Airbnb now operates more rooms in more countries that Hilton. Hilton started 98 years ago worth less than half of Airbnb and has 100 times more employees. 

Consumed by Media

And all this software is now leading the digitalisation of the enterprise and our home lives. The average American consumes over 12 hours of media a day and most of that is delivered on digital devices.

A new age means new opportunities.

What’s so exciting about today is that the opportunity to innovate lies somewhere between data, automation and human-centered design. We'll need to curate data quality, let the machines do the heavy lifting, and ensure that we create software that fulfills human needs.

Looks like a fun time.

For more innovation thoughts, check out the Moonshots Podcast.