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“…47 percent of jobs are “at risk”
of being automated in the next 20
years.”
Carl Frey and Michael Osborne, Oxford University
“The Future of Employment: How Susceptible
Are Jobs to Computerisation?”
Will there really be nothing left for people to do?
Is there really
nothing left for
humans to do?
Our global economy has the
mistaken idea that the goal of
technology is to maximize
productivity, even if that means
treating people as a cost to be
eliminated.
That’s a problem
“The people will rise up before
the robots do.”
Andy Macafee
Co-author, The Second
Machine Age
Erik Brynjolfsson and Andy Macafee
We’ve seen this happen before
The weavers of Ned Ludd’s
rebellion couldn’t imagine…
They couldn’t imagine…
What is our failure of imagination?
It isn’t technology that wants to eliminate jobs
“Technology is the solution to
human problems. We won’t
run out of work till we run
out of problems.”
Nick Hanauer
Some global grand challenges
technology can help us to solve
• Climate change.
• Rebuilding and rethinking the infrastructure by which we deliver water,
power, goods, and services like healthcare.
• Dealing with the “demographic inversion” — the lengthening lifespans
of the old and the smaller number of young workers to pay into the
social systems that support them.
• Income inequality.
• Displaced people. How could we use technology to create the
infrastructure for whole new cities, factories, and farms, so people
could be settlers, not refugees?
The use of automation by business to reduce labor costs and increase
profits is a social and political choice, not an economic law!
The March of Progress
But not everyone is equally happy
Fitness Landscapes
The way in which genes contribute
to the survival of an organism can
be viewed as a landscape of peaks
and valleys.
Through a series of experiments,
organisms evolve towards fitness
peaks, adapted to a particular
environment, or they die out.
Image source: http://evolution.berkeley.edu/evolibrary/article/side_0_0/complexnovelties_02
Fitness landscapes are dynamic
When conditions are stable, a
population chooses one fitness
peak and stays there.
But when conditions change
rapidly, populations must migrate
to a new fitness peak.
Local Maxima
Once you are on a peak, it’s
hard to get to another one,
even if it’s higher. You have
to go back down. It may be
easier to get to the top if you
are already starting from a
valley floor.
Technology also has a fitness landscape
In my career, I’ve watched
a number of migrations to
new peaks, and I’d like to
share with you some
observations about what
happened, and why. And
then we’ll talk about some
lessons for digitalization of
the overall economy.
Personal
Computer
Big Data
and
AI
Smartphones
Apple
Big Data
and
AI
Tim Berners-Lee, 1990
The World Wide Web
Linus Torvalds, 1991
Linux
What is the result?
Voters are moving away from the
fitness peak of the neoliberal
consensus. We don’t know yet
where that new fitness peak will
be, but the migration is telling us
loud and clear that the economy
needs some fresh thinking.
Yes, things are changing.
But one thing doesn’t change.
A successful ecosystem creates
opportunity for everyone, not just
a few.
We will create the economy of the
future when we remember that the
function of technology is to empower
people to do things that were
previously impossible!
Government statistics, economic modeling, and
regulations are too slow for the pace and scale of
the modern world
“Would you cross the street with
information that was five seconds old?”
-
Jeff Jonas,
IBM Fellow
Users post 7 billion pieces of
content to Facebook a day.
Expecting human fact checkers to
catch fake news is like asking
workers to build a modern city
with only picks and shovels.
At internet scale, we now rely
increasingly on algorithms to
manage what we see and believe.
This is why Mark Zuckerberg tells his team
“Move fast and break things.”
-
Mark Zuckerberg
“Build, Measure, Learn.”
Eric Ries,
The Lean Startup
Every day, they are inspecting the
performance of their workers and
giving them instruction (in the form of
code) about how to do a better job
In digital systems, the workers are programs,
and software engineers are their managers
“This isn’t just how we should be
developing software. It’s how we should be
developing policy.”
Cecilia Muñoz,
Director, White House
Domestic Policy Council
“Doing digital is not the same as being
digital.”
Josh Bersin
Deloitte
“We have to go from apps to ops.”
Jennifer Pahlka
Code for America
& USDS
“The smartphone is becoming a remote
control for real life.”
Matt Cohler,
Benchmark Partners
“Uber is a lesson in building for how the
world should work instead of optimizing for
how the world does work.”
Aaron Levie, Box.net
WTF - Why the Future Is Up to Us - pptx version

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WTF - Why the Future Is Up to Us - pptx version

  • 1.
  • 2. “…47 percent of jobs are “at risk” of being automated in the next 20 years.” Carl Frey and Michael Osborne, Oxford University “The Future of Employment: How Susceptible Are Jobs to Computerisation?”
  • 3.
  • 4. Will there really be nothing left for people to do? Is there really nothing left for humans to do?
  • 5. Our global economy has the mistaken idea that the goal of technology is to maximize productivity, even if that means treating people as a cost to be eliminated.
  • 6. That’s a problem “The people will rise up before the robots do.” Andy Macafee Co-author, The Second Machine Age Erik Brynjolfsson and Andy Macafee
  • 7. We’ve seen this happen before
  • 8. The weavers of Ned Ludd’s rebellion couldn’t imagine…
  • 10. What is our failure of imagination?
  • 11. It isn’t technology that wants to eliminate jobs “Technology is the solution to human problems. We won’t run out of work till we run out of problems.” Nick Hanauer
  • 12. Some global grand challenges technology can help us to solve • Climate change. • Rebuilding and rethinking the infrastructure by which we deliver water, power, goods, and services like healthcare. • Dealing with the “demographic inversion” — the lengthening lifespans of the old and the smaller number of young workers to pay into the social systems that support them. • Income inequality. • Displaced people. How could we use technology to create the infrastructure for whole new cities, factories, and farms, so people could be settlers, not refugees?
  • 13. The use of automation by business to reduce labor costs and increase profits is a social and political choice, not an economic law!
  • 14. The March of Progress
  • 15. But not everyone is equally happy
  • 16. Fitness Landscapes The way in which genes contribute to the survival of an organism can be viewed as a landscape of peaks and valleys. Through a series of experiments, organisms evolve towards fitness peaks, adapted to a particular environment, or they die out. Image source: http://evolution.berkeley.edu/evolibrary/article/side_0_0/complexnovelties_02
  • 17. Fitness landscapes are dynamic When conditions are stable, a population chooses one fitness peak and stays there. But when conditions change rapidly, populations must migrate to a new fitness peak.
  • 18. Local Maxima Once you are on a peak, it’s hard to get to another one, even if it’s higher. You have to go back down. It may be easier to get to the top if you are already starting from a valley floor.
  • 19. Technology also has a fitness landscape In my career, I’ve watched a number of migrations to new peaks, and I’d like to share with you some observations about what happened, and why. And then we’ll talk about some lessons for digitalization of the overall economy. Personal Computer Big Data and AI Smartphones Apple
  • 20. Big Data and AI Tim Berners-Lee, 1990 The World Wide Web Linus Torvalds, 1991 Linux
  • 21.
  • 22. What is the result? Voters are moving away from the fitness peak of the neoliberal consensus. We don’t know yet where that new fitness peak will be, but the migration is telling us loud and clear that the economy needs some fresh thinking.
  • 23. Yes, things are changing. But one thing doesn’t change. A successful ecosystem creates opportunity for everyone, not just a few.
  • 24. We will create the economy of the future when we remember that the function of technology is to empower people to do things that were previously impossible!
  • 25. Government statistics, economic modeling, and regulations are too slow for the pace and scale of the modern world “Would you cross the street with information that was five seconds old?” - Jeff Jonas, IBM Fellow
  • 26.
  • 27. Users post 7 billion pieces of content to Facebook a day. Expecting human fact checkers to catch fake news is like asking workers to build a modern city with only picks and shovels. At internet scale, we now rely increasingly on algorithms to manage what we see and believe.
  • 28. This is why Mark Zuckerberg tells his team “Move fast and break things.” - Mark Zuckerberg
  • 29. “Build, Measure, Learn.” Eric Ries, The Lean Startup
  • 30. Every day, they are inspecting the performance of their workers and giving them instruction (in the form of code) about how to do a better job In digital systems, the workers are programs, and software engineers are their managers
  • 31. “This isn’t just how we should be developing software. It’s how we should be developing policy.” Cecilia Muñoz, Director, White House Domestic Policy Council
  • 32.
  • 33.
  • 34. “Doing digital is not the same as being digital.” Josh Bersin Deloitte
  • 35. “We have to go from apps to ops.” Jennifer Pahlka Code for America & USDS
  • 36.
  • 37. “The smartphone is becoming a remote control for real life.” Matt Cohler, Benchmark Partners
  • 38. “Uber is a lesson in building for how the world should work instead of optimizing for how the world does work.” Aaron Levie, Box.net