Do More! Do Things That Were Previously Impossible! Tim O wtfeconomy.com

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1 Do More! Do Things That Were Previously Impossible! Tim O wtfeconomy.com

2 In 1625, they thought California was an island

3 In 2005, we thought the connected taxicab looked like this

4 In 2017, we think AI and robots will put Will there really be nothing left for people to do? people out of work.

5 When Amazon added 45,000 robots, they added 250,000 human workers

6 Jeff Bezos calls this the flywheel

7 This is the master design pattern for applying technology: Do more. Do things that were previously unimaginable.

8 Framing blindness

9 We have to draw a new map of the world

10 Gradually, and then suddenly.

11 Gradually, then suddenly 1. The world is becoming digital 2. Artificial Intelligence and algorithmic systems are everywhere 3. We are creating new kinds of partnerships between machines and humans

12 The coming robots are not autonomous

14 Don t just recreate what went before. Rethink business models, workflows and processes!

15 A business model is the way that all of the parts of a business work together to create competitive advantage and customer value. - Dan and Meredith Beam

16 Why simply adding an app doesn t change the game for taxis

17 A Business Model Map of Uber Magical user experience realizing the power of networked sensors Replacing ownership with access A platform, not just a company An algorithmic matching marketplace Cognitively augmented workers

18 A Business Model Map of Southwest Airlines

19 Who Do You Want Your Customers to Become? Henry Ford didn t just rethink the automobile and the factory, he rethought the work week, and the reasons why people might want to drive. Uber and Lyft, Airbnb, Amazon, Google, Facebook, and Apple are all changing who we are and what we expect.

20 Markets are outcomes. You have to design them. A service like Uber or Lyft or Airbnb or, for that matter, Google or Facebook is a matching marketplace.

21 How are you going to augment your workers?

22 Amazon warehouse worker

23 A matching marketplace has to work for all of its participants, not just for users or for the marketplace owner

24 Lyft vs Uber Market Share

27 O Reilly s Platform-Centered Learning Ecosystem Our ecosystem integrates the physical and digital worlds making learning possible when and in the ways our learners want most. Conferences/ Foo Camps Cutting-edge idea forum Networking forum Workshops? Immersions? Retreats? Podcasts? Expert Network Safari (learning platform) Live training Immersive learning experiences with like-minded professionals Digital platform for on-demand learning as well as synchronous online learning experiences. Books Physical books for reference and learning (available through resellers like Amazon, B&N)

28 If the students we are training today are going to live to be 120 years old, and their careers are likely to span 90 years, but their training will only make them competitive for 10 years, then we have a problem. Jeffrey Bleich, Former US ambassador to Australia Chair of the Fulbright scholarship board

29 We are developing new kinds of partnerships between human and machine

30 My grandfather wouldn t recognize what I do as work. -Hal Varian

32 A new kind of management It s the difference between playing Caesar (deciding which projects live and die), and playing the scientist (being perpetually open to search and discovery.) - Eric Ries, The Startup Way

33 Algorithmic systems all have an objective function Uber and Lyft: Pick up time Google: Relevance Facebook: engagement Scheduling systems used by Walmart, the Gap, or McDonalds: reduce employee labor costs and benefits

34 Like the djinn of Arabian mythology, our digital djinn do exactly what we tell them to do

35 AI is the most serious threat to the survival of the human race Elon Musk

36 The runaway objective function Even robots with a seemingly benign task could indifferently harm us. Let s say you create a self-improving A.I. to pick strawberries, Musk said, and it gets better and better at picking strawberries and picks more and more and it is self-improving, so all it really wants to do is pick strawberries. So then it would have all the world be strawberry fields. Strawberry fields forever. No room for human beings. Elon Musk, quoted in Vanity Fair

37 The Equinix NY4 data center, where trillions of dollars change hands

38 We didn t mean to increase inequality and gut our economy The Social Responsibility of Business Is to Increase Its Profits Milton Friedman, 1970

39 Divergence of productivity and real median family income in the US

40 The art of debugging is figuring out what you really told your program to do rather than what you thought you told it to do. Andrew Singer Andrew Singer

the accumulation of solutions to human problems.

41 It isn t technology that wants to eliminate jobs Prosperity in human societies is best understood as the accumulation of solutions to human problems. We won t run out of work until we run out of problems. Nick Hanauer

42 Imagine A world where the fruits of machine productivity are not allocated to a few, but shared by all

43 Imagine We put people to work tackling the world s greatest problems We treat humans as assets, not liabilities We create an economy based on caring and creativity, while machines focus on repetitive tasks We apply on-demand marketplace models to healthcare and education We augment community health workers with telemedicine and AI We all have access to knowledge on demand, whenever we need it We have fresh approaches to public policy based on what is possible now, rather than picking from the same tired menus

44 WTF??!! Amazement or Dismay wtfeconomy.com

45 How is work changing? What does technology now make possible that was previously impossible? What work needs doing? How do we make the world prosperous for all? Why aren t we doing it? wtfeconomy.com

46 What s the Future? It s Up To us wtfeconomy.com

Executive Summary Industry s Responsibility in Promoting Responsible Development and Use:

Executive Summary Industry s Responsibility in Promoting Responsible Development and Use: Executive Summary Artificial Intelligence (AI) is a suite of technologies capable of learning, reasoning, adapting, and performing tasks in ways inspired by the human mind. With access to data and the