AI Basics: Why AI Is Not a Job Killer
Kara and Scott are back with part two of Pivot's special series on the basics of artificial intelligence. How is AI revolutionizing the workplace? And what are the skills workers need to learn to stay ahead? Andrew McAfee, MIT research scientist and co-founder of Workhelix, explains why he doesn't think AI is a job killer, and shares the advice he gives to business leaders about integrating AI into workflows.
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More from Less: The Environment, Capitalism, and Technology
In this episode from October 2019, a16z co-founder Marc Andreessen and former a16z podcast showrunner Sonal Choksi bring on MIT economist and bestselling author Andrew McAfee to discuss why the lessons of human growth in times past, from the Industrial Revolution onwards, might not apply to our future. It used to be that the only way for humanity to grow — and progress — was through destroying the environment. But is this interplay between human growth vs. environment really a zero-sum game? Even if it were true in history, is it true today? If capitalism is not responsible for environmental degradation, than who or what is? And where does (and doesn’t) technology come in?
The conversation is based on McAfee’s 2019 book More from Less: The Surprising Story of How We Learned to Prosper Using Fewer Resources -- and What Happens Next, ranging broadly across many areas of growth, from the future of energy and agriculture to the role of capitalism and technology today and tomorrow, from dematerialization to Tesla, Buckminster Fuller, and more.
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#170 — The Great Uncoupling
Sam Harris speaks with Andrew McAfee about the history of human progress and the modern uncoupling of our prosperity from resource consumption. They discuss the pitfalls and hidden virtues of capitalism, technological progress, environmental policy, the future of the developing world, and other topics.
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What will future jobs look like? | Andrew McAfee
Economist Andrew McAfee suggests that, yes, probably, droids will take our jobs -- or at least the kinds of jobs we know now. In this far-seeing talk, he thinks through what future jobs might look like, and how to educate coming generations to hold them.
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a16z Podcast: Companies, Networks, Crowds
Is a network -- whether a crowd or blockchain-based entity -- going to replace the firm anytime soon? Not yet, argue Andrew McAfee and Erik Brynjolfsson in the new book Machine, Platform, Crowd. But that title is a bit misleading, because the real questions most companies and people wrestle with are more "machine vs. mind", "platform vs. product", and "crowd vs. core". They're really a set of dichotomies.
Yet the most successful systems are rarely all one or all the other. So how then do companies make choices, tradeoffs in designing products between humans and machines, whether it's sales people vs. chatbots, or doctors vs. AIs? How can companies combine the fundamental building blocks of businesses -- such as network effects, platforms, crowds, and more -- in a way that lets them get ahead on the chessboard against the Red Queen? And then finally, at a macro level, how do we plan for the future without falling for the "fatal conceit" (which has now, arguably flipped from radical centralization to radical decentralization) ... and just run a ton of experiments to get there?
We (Frank Chen and Sonal Chokshi) discuss all this and more with Brynjolfsson and McAfee, who also founded MIT's Initiative on the Global Economy -- and previously wrote the popular The Second Machine Age and Race Against the Machine. Maybe there's a better way to stay ahead without having to run faster and faster just to stay in place like Alice in a tech Wonderland.
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Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures.
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