This document summarizes a discussion on artificial intelligence and technological anxiety. It begins by outlining two views on AI: 1) that it could boost productivity and living standards, and 2) that it poses a threat by replacing human workers. It then examines the recent productivity slowdown in advanced economies and historical examples of technological anxiety. The document discusses how AI is being applied extensively by Uber and how some jobs like taxi driving have been disrupted. However, it notes that whole jobs will likely not be replaced, just certain tasks, and that new types of jobs will emerge. In closing, it acknowledges that few occupations will be immune to disruption from AI going forward.
Presentation by Laurie Schintler, George Mason University, US
Advanced Brainstorm Carrefour (ABC): ‘Smart People in Smart Cities’
Matej Bel University, Banská Bystrica, Slovakia (August, 2016)
Automation and digitisation are set to impact on many areas of work and livelihoods in developing countries and there is an urgent need for robust empirical work to address this issue. Participants at the 2017 Digital Development Summit, convened by IDS, called for research institutions to create cross-cutting partnerships across disciplines, geographies and sectors both to develop research and to play a brokering role in relation to solutions.
This seminar will be a space to discuss key issues and debates and explore the role IDS researchers might play in developing this research agenda.
This paper sets out to review some of the key ways in which automation gets imagined – the sorts of cultural, economic and social forms of imagination that are drawn upon and generated when discussing how automation works and the kinds of future that may come as a result. The aim here is not to validate/invalidate particular narratives of automation – but instead to think about how they are produced and what they tell us about how we tell stories about what it means to be ‘human’, who/what has agency and what this may mean for how we think politically and spatially. To do this the concept of an ‘automative imagination’ is proposed as a means of articulating these different, sometimes competing – sometimes complementary, orientations towards automation.
Growing Pains - The Auckland Capacity for Growth StudySafe Software
Auckland Council’s growth projections indicate that the city needs to find development capacity for 400,000 new dwellings by 2041. To better understand the quantity and location of development capacity in their region the Council commissioned the ‘Capacity for Growth Study’. Through this study this presentation explores how FME was used to generate a number of innovative spatial data modelling algorithms to measure the vacant, redevelopment and infill development capacity across residential, business and rural-residential land use designations.
Presentation by Laurie Schintler, George Mason University, US
Advanced Brainstorm Carrefour (ABC): ‘Smart People in Smart Cities’
Matej Bel University, Banská Bystrica, Slovakia (August, 2016)
Automation and digitisation are set to impact on many areas of work and livelihoods in developing countries and there is an urgent need for robust empirical work to address this issue. Participants at the 2017 Digital Development Summit, convened by IDS, called for research institutions to create cross-cutting partnerships across disciplines, geographies and sectors both to develop research and to play a brokering role in relation to solutions.
This seminar will be a space to discuss key issues and debates and explore the role IDS researchers might play in developing this research agenda.
This paper sets out to review some of the key ways in which automation gets imagined – the sorts of cultural, economic and social forms of imagination that are drawn upon and generated when discussing how automation works and the kinds of future that may come as a result. The aim here is not to validate/invalidate particular narratives of automation – but instead to think about how they are produced and what they tell us about how we tell stories about what it means to be ‘human’, who/what has agency and what this may mean for how we think politically and spatially. To do this the concept of an ‘automative imagination’ is proposed as a means of articulating these different, sometimes competing – sometimes complementary, orientations towards automation.
Growing Pains - The Auckland Capacity for Growth StudySafe Software
Auckland Council’s growth projections indicate that the city needs to find development capacity for 400,000 new dwellings by 2041. To better understand the quantity and location of development capacity in their region the Council commissioned the ‘Capacity for Growth Study’. Through this study this presentation explores how FME was used to generate a number of innovative spatial data modelling algorithms to measure the vacant, redevelopment and infill development capacity across residential, business and rural-residential land use designations.
My plenary talk to the California Workforce Association Conference in Monterey, CA, on September 5, 2018. I talked about the role of technology to augment people rather than replace them from my book WTF? What's the Future and Why It's Up to Us, and my ideas about AI and distributional economics, in the context of today's education and workforce development systems. I also summarize some of the work Code for America has been doing on the current state of the California Workforce Development ecosystem.
Charting your own pathway to professional success in the 4th industrial revol...Ainsley Brown
Artificial Intelligence (AI), robots, automation, and the Internet of Things (IoT) - the Fourth industrial Revolution - are terms that have moved into the mainstream of our everyday conversations. Unfortunately, the talk is usually one of doom and gloom, punctuated by predictions such as: Robots could displace 800 million jobs. The Fourth Industrial Revolution isn’t just about artificial intelligence, robots, or smart machines. As important as these are, the Fourth Industrial Revolution at the end of the day isn’t about machines but about humans – the way we live, learn, earn and play. As the Fourth Industrial Revolution continues to evolve, and disrupt existing social and economic systems, the future of work will increasingly be defined by the use of digital technology not to simply supplant humans but to augment human ability and experiences. But how do workers prepare for the future in an age of unprecedented and ever accelerating change? The answer: continuous education, learning and training. This presentation will argue that many of the technologies of the Fourth Industrial Revolution have self-empowered individuals and created opportunities to continuously upskill and retool enabling them to create their own path of professional success.
WB MOOC final project: Technology and the reconfiguration of work in the Phil...EmilyCabegin
The slide discusses how technology has created and displaced jobs, and presents opportunities, challenges and recommendations for policy reforms to mitigate the negative labor market consequences of increased automation.
What is the relationship between megatrends and new business? Roope Mokka's presentation at Chalmers University drills into megatrends and creates a case for resource smart business.
Within a very limited timeframe of only 20 years, the internet has upended entire industries from the ground up. Each and every industry will increasingly turn into a tech-industry with the dynamics of Moore's law at play. These exponential developments will only accelerate the pace of change. The questions posed to the economy and the very foundation of our society will be nothing short of earth-shattering.
Evaluation of technology, trade, and inclusive development: Chinese experiencesAkhilesh Chandra Prabhakar
The present study begins by surveying, broadly supports the assertion that technology, trade, sustainability and
development-led globalization is the path in the Chinese context not adequately paid to attention except with very few
original or significant contributions. This research examines the existing pattern in the areas of trade, technology,
investment with a view to locate in the development context in the era of globalization. This study also investigates
theories of trade, technology movement under capitalist paradigm along with the empirical one. The survey broadly
supports the frequent, through usually undocumented, assertion that China’s socialist market paradigm was not
different from the capitalist mode of production as tended to neglect and to which they had made few if any original or
significant contributions. Alongside, this study used secondary data and analyzed, where the results confirmed that
foreign direct investment (FDI), trade and economic growth indicated the presence of long-run sustainable equilibrium
relationship between them but created income inequality gap widely among people. It is, thus, important for
policymakers to remove obstacles and improve the respective absorptive capacity in order to reap maximized positive
inclusive development with equality basis.
My plenary talk to the California Workforce Association Conference in Monterey, CA, on September 5, 2018. I talked about the role of technology to augment people rather than replace them from my book WTF? What's the Future and Why It's Up to Us, and my ideas about AI and distributional economics, in the context of today's education and workforce development systems. I also summarize some of the work Code for America has been doing on the current state of the California Workforce Development ecosystem.
Charting your own pathway to professional success in the 4th industrial revol...Ainsley Brown
Artificial Intelligence (AI), robots, automation, and the Internet of Things (IoT) - the Fourth industrial Revolution - are terms that have moved into the mainstream of our everyday conversations. Unfortunately, the talk is usually one of doom and gloom, punctuated by predictions such as: Robots could displace 800 million jobs. The Fourth Industrial Revolution isn’t just about artificial intelligence, robots, or smart machines. As important as these are, the Fourth Industrial Revolution at the end of the day isn’t about machines but about humans – the way we live, learn, earn and play. As the Fourth Industrial Revolution continues to evolve, and disrupt existing social and economic systems, the future of work will increasingly be defined by the use of digital technology not to simply supplant humans but to augment human ability and experiences. But how do workers prepare for the future in an age of unprecedented and ever accelerating change? The answer: continuous education, learning and training. This presentation will argue that many of the technologies of the Fourth Industrial Revolution have self-empowered individuals and created opportunities to continuously upskill and retool enabling them to create their own path of professional success.
WB MOOC final project: Technology and the reconfiguration of work in the Phil...EmilyCabegin
The slide discusses how technology has created and displaced jobs, and presents opportunities, challenges and recommendations for policy reforms to mitigate the negative labor market consequences of increased automation.
What is the relationship between megatrends and new business? Roope Mokka's presentation at Chalmers University drills into megatrends and creates a case for resource smart business.
Within a very limited timeframe of only 20 years, the internet has upended entire industries from the ground up. Each and every industry will increasingly turn into a tech-industry with the dynamics of Moore's law at play. These exponential developments will only accelerate the pace of change. The questions posed to the economy and the very foundation of our society will be nothing short of earth-shattering.
Evaluation of technology, trade, and inclusive development: Chinese experiencesAkhilesh Chandra Prabhakar
The present study begins by surveying, broadly supports the assertion that technology, trade, sustainability and
development-led globalization is the path in the Chinese context not adequately paid to attention except with very few
original or significant contributions. This research examines the existing pattern in the areas of trade, technology,
investment with a view to locate in the development context in the era of globalization. This study also investigates
theories of trade, technology movement under capitalist paradigm along with the empirical one. The survey broadly
supports the frequent, through usually undocumented, assertion that China’s socialist market paradigm was not
different from the capitalist mode of production as tended to neglect and to which they had made few if any original or
significant contributions. Alongside, this study used secondary data and analyzed, where the results confirmed that
foreign direct investment (FDI), trade and economic growth indicated the presence of long-run sustainable equilibrium
relationship between them but created income inequality gap widely among people. It is, thus, important for
policymakers to remove obstacles and improve the respective absorptive capacity in order to reap maximized positive
inclusive development with equality basis.
Brno-IESS 20240206 v10 service science ai.pptxISSIP
It my pleasure to be with you all today – thanks to my host for the opportunity to speak with you all today.
Host: Leonard Walletzky <qwalletz@fi.muni.cz> (https://www.linkedin.com/in/leonardwalletzky/) +420 549 49 7690
Google Scholar: https://scholar.google.com/citations?user=aUvbsmwAAAAJ&hl=cs
Katrina Motkova (https://www.linkedin.com/in/kateřina-moťková-mba-a964a3175/en/?originalSubdomain=cz)
Speaker: Jim Spohrer <spohrer@gmail.com> (https://www.linkedin.com/in/spohrer/) +1-408-829-3112
Do More. Do things that were previously impossible!Tim O'Reilly
My keynote at SxSW Interactive on March 9, 2018. I tackle the job of the entrepreneur to redraw the map, and not to accept the idea that technology will put people out of work rather than creating new kinds of prosperity. I try to provide a call to action to throw off the shackles of the old world and to build a new one. So many companies play defense. Cut costs, watch the competition, follow best practices. Great entrepreneurs like Jeff Bezos and Elon Musk play offense. They see the world with fresh eyes, taking off the blinders that keep companies using technology to make slight improvements to existing products and practices, rather than imagining the world as it could be, given the new capabilities that technology has given us.
AI and the future workforce - People disruption or opportunity?Simone Edwards
As part of London Tech Week, Dr Charlotte Werger from ASI Data Science and Dr Tim Sparkes from Hudson explore the future of AI in business, the impact it will have over jobs and the opportunities it presents for businesses.
A review of the issues associated with prospective technological unemployment. This includes the outlook for universal income or guaranteed income funded by robot taxes. It also covers the U.S. fiscal capacity to undertake such a scheme.
Cultivating a technology-driven cultureYekemi Otaru
My presentation at IoT Oil & Gas Europe 2016 in Aberdeen, Scotland. Our speakers included Maersk Oil, Statoil and MOL Group. Focus on data analytics and digital innovation, the need for cultural changes to sustain the impact of IoT/innovation
My talk for TechStars at Techweek Kansas City in October 2018. While this is a talk based on my book WTF?, it is fairly different from many of the others that I've posted here, in that it focuses specifically on parts of the book that contain advice for entrepreneurs, rather than on the broader questions of technology and the economy. As always, look at the speaker notes for
We had an excellent day at our Work-Based Learning Symposium in Glasgow. The event was chaired by SDS board member Willie Mackie and we were delighted to have some excellent guest speakers. The University of Strathclyde's Executive Director for the International Public Policy Institute, David Wilson gave a view of skills and economic growth in Scotland.
The Second Machine Age - an industrial revolution powered by digital technolo...Ben Gilchriest
There have been two big turning points in human history. The first was the industrial revolution, where machines replaced muscle power. The Second Machine Age is the time when machines are now able to take over a lot of cognitive tasks that humans can do. In this Capgemini interview with Erik Brynjolfsson and Andrew McAfee, authors of the recent book "The Second Machine Age" (www.secondmachineage.com), we get a summary view of what the 2nd Machine Age is, what it means for established companies, and how they should react.
I throughly recommend reading this book. It's an excellent summary of the impact and importance of digital and why it's important for companies to do more.
Presentation held by Ms. Melissa Pailthorp- Senior Manager, Community Affairs for Central and Eastern Europe-Microsoft as a part of the Corporate Social Responsibility Session at the 8th SEEITA and 7th MASIT Open Days Conference, 14th-15th October, 2010
Similar to AI and Technological Anxiety: Paranoia , or are the robots out to get us Comments on (20)
what is the best method to sell pi coins in 2024DOT TECH
The best way to sell your pi coins safely is trading with an exchange..but since pi is not launched in any exchange, and second option is through a VERIFIED pi merchant.
Who is a pi merchant?
A pi merchant is someone who buys pi coins from miners and pioneers and resell them to Investors looking forward to hold massive amounts before mainnet launch in 2026.
I will leave the telegram contact of my personal pi merchant to trade pi coins with.
@Pi_vendor_247
Empowering the Unbanked: The Vital Role of NBFCs in Promoting Financial Inclu...Vighnesh Shashtri
In India, financial inclusion remains a critical challenge, with a significant portion of the population still unbanked. Non-Banking Financial Companies (NBFCs) have emerged as key players in bridging this gap by providing financial services to those often overlooked by traditional banking institutions. This article delves into how NBFCs are fostering financial inclusion and empowering the unbanked.
What price will pi network be listed on exchangesDOT TECH
The rate at which pi will be listed is practically unknown. But due to speculations surrounding it the predicted rate is tends to be from 30$ — 50$.
So if you are interested in selling your pi network coins at a high rate tho. Or you can't wait till the mainnet launch in 2026. You can easily trade your pi coins with a merchant.
A merchant is someone who buys pi coins from miners and resell them to Investors looking forward to hold massive quantities till mainnet launch.
I will leave the telegram contact of my personal pi vendor to trade with.
@Pi_vendor_247
The European Unemployment Puzzle: implications from population agingGRAPE
We study the link between the evolving age structure of the working population and unemployment. We build a large new Keynesian OLG model with a realistic age structure, labor market frictions, sticky prices, and aggregate shocks. Once calibrated to the European economy, we quantify the extent to which demographic changes over the last three decades have contributed to the decline of the unemployment rate. Our findings yield important implications for the future evolution of unemployment given the anticipated further aging of the working population in Europe. We also quantify the implications for optimal monetary policy: lowering inflation volatility becomes less costly in terms of GDP and unemployment volatility, which hints that optimal monetary policy may be more hawkish in an aging society. Finally, our results also propose a partial reversal of the European-US unemployment puzzle due to the fact that the share of young workers is expected to remain robust in the US.
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what is the future of Pi Network currency.DOT TECH
The future of the Pi cryptocurrency is uncertain, and its success will depend on several factors. Pi is a relatively new cryptocurrency that aims to be user-friendly and accessible to a wide audience. Here are a few key considerations for its future:
Message: @Pi_vendor_247 on telegram if u want to sell PI COINS.
1. Mainnet Launch: As of my last knowledge update in January 2022, Pi was still in the testnet phase. Its success will depend on a successful transition to a mainnet, where actual transactions can take place.
2. User Adoption: Pi's success will be closely tied to user adoption. The more users who join the network and actively participate, the stronger the ecosystem can become.
3. Utility and Use Cases: For a cryptocurrency to thrive, it must offer utility and practical use cases. The Pi team has talked about various applications, including peer-to-peer transactions, smart contracts, and more. The development and implementation of these features will be essential.
4. Regulatory Environment: The regulatory environment for cryptocurrencies is evolving globally. How Pi navigates and complies with regulations in various jurisdictions will significantly impact its future.
5. Technology Development: The Pi network must continue to develop and improve its technology, security, and scalability to compete with established cryptocurrencies.
6. Community Engagement: The Pi community plays a critical role in its future. Engaged users can help build trust and grow the network.
7. Monetization and Sustainability: The Pi team's monetization strategy, such as fees, partnerships, or other revenue sources, will affect its long-term sustainability.
It's essential to approach Pi or any new cryptocurrency with caution and conduct due diligence. Cryptocurrency investments involve risks, and potential rewards can be uncertain. The success and future of Pi will depend on the collective efforts of its team, community, and the broader cryptocurrency market dynamics. It's advisable to stay updated on Pi's development and follow any updates from the official Pi Network website or announcements from the team.
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when will pi network coin be available on crypto exchange.DOT TECH
There is no set date for when Pi coins will enter the market.
However, the developers are working hard to get them released as soon as possible.
Once they are available, users will be able to exchange other cryptocurrencies for Pi coins on designated exchanges.
But for now the only way to sell your pi coins is through verified pi vendor.
Here is the telegram contact of my personal pi vendor
@Pi_vendor_247
If you are looking for a pi coin investor. Then look no further because I have the right one he is a pi vendor (he buy and resell to whales in China). I met him on a crypto conference and ever since I and my friends have sold more than 10k pi coins to him And he bought all and still want more. I will drop his telegram handle below just send him a message.
@Pi_vendor_247
What website can I sell pi coins securely.DOT TECH
Currently there are no website or exchange that allow buying or selling of pi coins..
But you can still easily sell pi coins, by reselling it to exchanges/crypto whales interested in holding thousands of pi coins before the mainnet launch.
Who is a pi merchant?
A pi merchant is someone who buys pi coins from miners and resell to these crypto whales and holders of pi..
This is because pi network is not doing any pre-sale. The only way exchanges can get pi is by buying from miners and pi merchants stands in between the miners and the exchanges.
How can I sell my pi coins?
Selling pi coins is really easy, but first you need to migrate to mainnet wallet before you can do that. I will leave the telegram contact of my personal pi merchant to trade with.
Tele-gram.
@Pi_vendor_247
AI and Technological Anxiety: Paranoia , or are the robots out to get us Comments on
1. Business School
AI and Technological Anxiety:
Paranoia, or are the robots out to get us?
Comments on
“What can Machine Learning Do and What Does It Mean for the Economy?”
by Erik Brynjolfsson
Kevin Fox
OECD Global Forum on Productivity
Sydney
20-21 July 2019
2. A Significant Body of Work is Emerging
Including:
• Brynjolfsson, E. and T. Mitchell (2017), “What can machine learning do?
Workforce implications,” Science Vol. 358, Issue 6370, 1530-1534.
• Brynjolfsson, E., D. Rock and C. Syverson (2017), “Artificial Intelligence
and the Modern Productivity Paradox: A Clash of Expectations and
Statistics,” NBER Working Paper 24001, Cambridge MA.
• Brynjolfsson, E. T. Mitchell and D. Rock (2018), “What Can Machines
Learn and What Does it Mean for Occupations and the Economy,”
AEA Papers and Proceedings 108:43-47.
3. Artificial Intelligence and Machine Learning
Brynjolfsson and Mitchell (2017):
• Machine Learning is a subfield of artificial intelligence that studies
the question:
“How can we build computer programs that automatically improve
their performance at some task through experience?”
• They argue that this is a General Purpose Technology: pervasive,
improves over time and generates complementary innovation
(Bresnahan and Trajtenberg 1995).
But what is “artificial intelligence”? I asked Siri.
9. Two Views on Artificial Intelligence
1. A potential source of productivity growth, which is a key determinant
of long-run living standards.
2. A threat to our living standards, as it will replace us as workers.
Each contribute to “technological anxiety”:
• Too little technological progress will result in low productivity growth
and low growth in living standards
• Technological progress will make us obsolete
Or as a scientist arguing for government support for
manufacturing asked me:
“What are we going to do in the future Kevin? Serve each other
cappuccinos?!”
10. Two Views on Artificial Intelligence
• Start by looking at the productivity slowdown
• Then look at possible technological obsolescence of humans
11. faculty of science
Trend Labour Productivity Growth in G7 Countries
Average Annual Rate, OECD Productivity Compendium 2016
12. faculty of science
Trend Labour Productivity Growth in G7 Countries
Average Annual Rate, OECD Productivity Compendium 2016
14. Australian Multifactor Productivity Slowdown
Market Sector, Annual Averages
-2 -1 0 1 2 3 4
Arts and Recreation Services
Mining
Accommodation and Food Services
Construction
Manufacturing
Electricity, Gas, Water and Waste Services
Information, Media and Telecommunications
Market Sector (12)
Retail Trade
Transport, Postal and Warehousing
Financial and Insurance Services
Wholesale Trade
Agriculture, Forestry and Fishing
Average percentage growth
1989-90 to 2003-04
2003-04 to 2016-17
15. “The History of Technological Anxiety and the Future of
Economic Growth: Is This Time Different?”
Joel Mokyr, Chris Vickers, and Nicolas L. Ziebarth (2015), Journal of Economic Perspectives 29(3), 31–50.
Have we run out of useful things to invent? That’s been a cause of
anxiety many times in the past.
Alvin Hansen’s1938 book Full Recovery or Stagnation?
“Hansen drew on the macroeconomic ideas of John Maynard Keynes
in fearing that economic growth was over, with population growth and
technological innovation exhausted.”
16. Productivity Slowdown
• If AI is so great, then where’s the productivity?
Mismeasurement of productivity can’t be the whole story:
Syverson (2017).
Lags probably play a role; diffusion, learning, re-organising,
development of complementary technologies (Brynjolfsson, Rock
and Syverson 2018)
Historical evidence of new GPTs suggest that there is still hope
that a big burst of productivity is forthcoming.
17. Workers, Arise!:
Luddite Riots of the early 1800s
“Luddites objected primarily to the rising popularity of automated textile
equipment, threatening the jobs and livelihoods of skilled workers as this
technology allowed them to be replaced by cheaper and less skilled
workers.” (Wikipedia)
18. Workers, Arise!:
Karl Marx (1937), “The Strife Between the Workman and Machine,” Capital
Vol. I, Ch. 15, Sect. 5:
• “The instrument of labour, when it takes the form of a machine,
immediately becomes a competitor of the workman himself.”
• “Abbé Lancellotti, in a work that appeared in Venice in 1636, but
which was written in 1579, says as follows:
‘Anthony Müller of Danzig saw about 50 years ago in that town, a
very ingenious machine, which weaves 4 to 6 pieces at once. But
the Mayor being apprehensive that this invention might throw a
large number of workmen on the streets, caused the inventor to
be secretly strangled or drowned.’”
20. Workers, Arise!:
What has Uber got to do with AI?
“AI is so central at the company, whether or not it should be used is not
even a question anymore.”
• “machine learning and neural networks are now core to just about
every business process. Uber uses AI for fraud detection, risk
assessment, safety processes, marketing spend and allocation,
matching drivers and riders, route optimization, driver onboarding,
and just about everywhere else it's possible to apply.”
John Koetsier, Forbes, 22 August 2018
https://www.forbes.com/sites/johnkoetsier/2018/08/22/uber-might-be-the-first-ai-first-company-which-is-why-they-dont-
even-think-about-it-anymore/#4971ec145b62
21. Workers, Arise!:
• Weavers protested new technologies in the 1800s, as they saw their
investment in skills, which are (intangible) assets, being devalued by
technology.
• Taxi drivers are protesting new technologies in the 2010s, as they
see their investment in licences, which are assets, being devalued by
technology.
23. Workers, Arise!:
“Yes, excessive automation at Tesla was a mistake. [...]
Humans are underrated.”
Elon Musk, 13 April 2019
Quoted in: The Human Side of Productivity: Setting the Scene, Background
Paper, OECD GFP Team, June 2019.
24. The Future of Work:
“Are we going to serve each other cappuccinos?” There are alternatives!
Stand Up Paddle Board Yoga Instructor
25. The Future of Work:
Some takeaways from Erik’s work:
• Tasks, not jobs, will be taken over by AI.
• Different jobs will be affected differently, as they’re combinations of
tasks with different susceptibility to being replaced.
• Economic considerations will be key.
• Jobs can be categorised by their “suitability for machine learning”
(SML)
• Workers will be impacted to different extents, maybe differently than
with previous rounds of technological disruption.
• New types of jobs will emerge.
• That is, the “robots” will take away tasks, but not usually whole jobs.
26. The Future of Work:
Few occupations will be immune to disruption from AI