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How to Regulate Innovation -- Without Killing It

February 03, 2017 / 21:11

This episode discusses digital innovation, the sharing economy, and regulatory challenges with Wharton professor Kevin Warbach. Topics include the internet of the world, on-demand services, and algorithmic competition.

Kevin Warbach explains the concept of the internet of the world, which combines the sharing economy, the internet of things, and big data. He emphasizes that these trends signify a shift where everything can generate data, impacting both online and offline worlds.

Warbach highlights that on-demand services like Uber and Airbnb create new markets rather than simply disrupting existing ones. He notes that these services can unlock latent demand and generate more revenue than traditional industries.

The conversation also covers the misconception that regulation stifles innovation. Warbach argues that government actions can facilitate innovation, citing historical examples like the antitrust case against Microsoft and the development of network neutrality rules.

Finally, Warbach discusses the challenges regulators face with new startups that do not fit traditional categories, using Uber and Skype as examples. He advocates for collaborative approaches between regulators and companies to address public policy issues effectively.

TL;DR

Kevin Warbach discusses digital innovation, regulatory challenges, and the impact of on-demand services like Uber and Airbnb.

Episode

21:11
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Digital innovation is giving rise to new
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business models. Uber and Airbnb are
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household names today when not so long
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ago we were all learning about the
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sharing economy. But regulations don't
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always evolve as quickly as uh technolog
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technological change at least that's a
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perception. Uh so what should
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policymakers and regulators do? Here to
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talk about some his some of his insights
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is uh Wharton professor Kevin Warbach.
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He recently wrote a policy brief for the
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pen Wharton policy public policy
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initiative. Uh welcome Kevin. Thanks.
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Glad to be here. So in your article you
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mentioned something called the internet
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of the world. Can you tell us what that
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is? Well I think there's something big
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going on and it's it's a bigger trend
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than most people realize. There are
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three trends that each in of themselves
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is significant. One is uh what we often
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call the sharing economy. I think it's
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really more the ondemand economy. It's
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not just about sharing resources, but
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services like you mentioned like Uber
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and Airbnb which give ondemand access to
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resources. The second piece is the
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internet of things, all kinds of
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devices, billions and billions of
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devices gettingororked. And the third is
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big data and analytics, the ability to
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understand and manipulate trends coming
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out of all those devices. What those
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three things together mean is that all
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of the world potentially isworked. It's
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not just that you go somewhere to a
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computer, you go to your phone to get
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access to information. It's that
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potentially everything is a generator of
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data and all that data can be integrated
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and analyzed and processed and
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manipulated. Um, and so what that means
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is the kinds of trends and the kinds of
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developments that we saw online are now
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happening offline. they're happening to
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things and physical objects in the world
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as well. You also point out that the
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scale of ondemand services is
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potentially much greater than the legacy
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industries they challenge. How so? So
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there's this uh kind of cheap talk about
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new technologies disrupting old
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technologies. And actually the theory of
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disruptive innovation which goes back to
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Clayton Christensen at Harvard Business
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School is a a serious academic theory.
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Uh but far too often people in business
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and entrepreneurship and the media kind
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of use the word disruption as just kind
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of a synonym for new technology. And the
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reality is it's not that you have one
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market and suddenly a bunch of new
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companies come in and replace that
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market. Often what happens and this is
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what we're seeing with things like
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ondemand economy is that the new markets
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are different. So it's not that Uber
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takes the taxi market and every taxi
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gets replaced by an Uber driver. Uh in
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fact Uber has put out some numbers for
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the past several years that show that
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the scale of the market they are tapping
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into is actually much bigger. So they
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generate far more revenue in the cities
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where they are mature than the taxi
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industry as a whole does. So what that
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means is it's not just a competitive
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threat and certainly it is a competitive
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threat to the incumbent industries but
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it's creating something new. It's
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unlocking latent demand that the
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previous approaches didn't reach.
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You also say that um you also pointed
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out that throughout the different techn
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technological waves since the 1990s we
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went through e-commerce, social media,
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now mobile that regulations have always
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been seen as an enemy of innovation. But
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you say that this digital dichotomy is
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actually misunderstood. Can you explain
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that? Sure. So there's two pieces to it.
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One is the term that you reference that
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I use in the paper called the digital
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dichconomy. That is a misunderstanding
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that the online world is inherently
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different from the offline world. Uh and
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the reason that's not true is what I
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said at the beginning. Um increasingly
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there is no difference even if you're
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using a physical thing. So take the Uber
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example and it's such a perfect example.
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Uh the per there's a person there's a
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physical person driving a physical car
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but from your standpoint running the app
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and pushing a button and saying make a
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car appear. It's as though that's
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something that's in cyerspace. It's as
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though it's something digital. an
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extension of the software infrastructure
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of Uber. Uh even though it's a physical
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thing, a physical person driving a
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physical car. Um and so we tend to
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assume that there's one set of rules for
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the real world, there's one set of rules
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for the digital world. And that's a
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mistake because increasingly there is
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just the world. Software, technology,
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networks, all these trends in what I
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call the internet of the world are
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affecting everything. So that's the
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first piece. the assumption that uh we
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can just ignore the rules of the
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physical world because we need totally
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new rules for the digital world. Um the
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larger issue though uh is this question
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of innovation and regulation and again
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there's this common assumption that
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innovation needs to thrive with no
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regulation and anytime government gets
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involved that's a check and a drain and
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a block on innovation and that's not
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really the case and what I talk about in
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the article you referenced uh and the
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larger larvy article it's based on is
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that if you go and look at the history
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uh how the internet developed how
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electronic commerce developed in the
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1990s
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A surprising amount of the time it was
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government action actually facilitating
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innovation and uh the emerging startups
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actually pushing for that government
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innovation to help create a more
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innovative marketplace. That's an
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interesting point and uh in your article
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you also pointed to uh one challenge for
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regulators and that is um a lot of these
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new startups don't really fit neatly
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into industry categories. So uh and the
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example you pull up you use is uh Uber
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versus Skype. Can you go through that
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example? Sure. So I should be clear.
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It's not that regulators always get it
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right. They make mistakes and they have
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lots of flaws and lots of reasons why
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they act in a certain way. Uh and we
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should definitely criticize bad
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regulations. Um we just shouldn't assume
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necessarily that they are bad and
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necessarily what what startups do is
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good. Um the Skype and Uber comparison
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is basically that both of them were
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companies that when they started were
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illegal in most jurisdictions. So Skype
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which is the very popular internet
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communication service originally voice
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calling now also video and messaging and
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so forth eventually now owned by
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Microsoft. Uh Skype was illegal in most
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of the world when it launched because
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there were rules saying you could not do
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a communication service, a telephone
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service outside of the existing
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regulatory infrastructure in the US
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because of what we did. I was at the
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Federal Communications Commission in the
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1990s when we had to think about
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voiceover IP. We very deliberately left
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open the door. Even though things like
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Skype were outside of the regulatory
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structure, we made a conscious decision
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to allow them to develop. And that's an
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example where regulators consciously
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deciding not to impose a whole set of
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rules early on when these were nent
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technologies allow them to grow. Um so
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Uber is similar. Uber is illegal in most
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of the cities where it operates. Uh and
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the story of Skype I think is a hopeful
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story because what happened with Skype
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is that first of all you had regulators
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like the FCC in the US who understood
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that these new internet calling
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technologies were an opportunity. They
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were a way to lower prices and create
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better service and new service and
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innovation. Uh and so that we shouldn't
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rush to impose all the traditional rules
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on them. And then as these companies
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grew, they were able to work with
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regulators to address the rules that
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were necessary. So for example, it's a
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concern if you're using Skype or some
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other voiceover IP service. What if you
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want to call 911? What if you have an
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emergency? Um those services were all
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outside of the infrastructure of the
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emergency calling system. And that's a
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problem if you have your phone and which
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app you're using determines whether if
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you have an emergency you get through to
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the police or the fire department. Um
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that's a technical problem that was
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overcome through regulators working
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together with the companies. Um and it
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could only be done by a willingness to
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not immediately impose rules that would
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have shut these companies down on day
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one, but work through how they can
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actually help in addressing some of
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these concerns. And I think that's the
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path forward for companies like Uber and
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Airbnb as well. What we've started to
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see is they began with this very strong
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keep no regulation, keep it away from
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us. Uh, and gradually we're starting to
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see them recognize that they need to
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work together with the regulators. But
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don't you think there's one critical
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difference between Uber and Skype and
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that is, you know, with Uber there's the
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issue of safety of the users or the
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writers, but that's not the case with
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Skype. So the example I gave about the
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911 service, the emergency, that's a
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safety issue. Um but no question uh all
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these companies are different. Uh and
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it's not the case that there's one set
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of rules, there's one regulator that
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applies to everything. Um I'm making the
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general point that these new services
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that spring up outside of the
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traditional regulatory structure. Um
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they raise public policy issues uh and
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you can't get away from that. So Uber
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raises a whole host of issues. It raises
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issues about worker treatment. It raises
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issues about safety of the people in the
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cars as you mentioned. raises issues
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about the Americans with Disabilities
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Act. Do they have to provide access for
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people in wheelchairs and so forth? All
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these issues. Um, and the way to address
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those issues is not to say it's new, so
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therefore regulators stay away, they'll
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figure it out. The way to address them
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is to say, okay, let's look at the
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issues. So, um, is there a way to
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address what we really care about in
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safety? What we care about is you don't
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want people to get into a car and
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someone be an axe murderer who's driving
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the car. All right. there's different
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ways that we can solve that problem and
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and maybe there are solutions and in
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fact Uber because they have all this
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data and they've got an app and they
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know everything about the driver maybe
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there's a better way they can solve that
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problem. Um so the way to work that
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through is to have that discussion and
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say identify what it is the regulators
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are trying to do and figure out how we
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can do that. The problem is initially so
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much of the reaction was the regulators
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are necessarily bad. um they have
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nothing to do but to stop the
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innovation. Uh and I think that's not a
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helpful conversation. Uh your point is
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that government can actually be a
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positive force in innovative markets.
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Can you give us more examples of that?
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Sure. So we saw a lot of examples with
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the growth of the internet and
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electronic commerce starting 20 years
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ago. Um one of them was the antitrust
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case against Microsoft. So Microsoft was
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the dominant company on the personal
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computer with the operating system
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market and lots of startup companies,
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companies like Netscape realized if they
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wanted to innovate, they wanted to build
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the internet economy as we know it
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today, you couldn't have Microsoft
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standing there using its power at the
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time. It's hard to realize today with
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what's happened, the growth of Apple and
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the growth of smartphones and so forth,
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just how much power Microsoft had as a
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bottleneck. Microsoft controlled access
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to the PC and the PC was the only game
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in town. Um, had it not been for that
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action by the government in filing that
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antitrust case, Microsoft may have been
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able to warp or slow down the growth of
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the open internet economy. And it turned
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out most of the startups were on the
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side of the government in that case
00:11:18
wanting to open it up. Um, a similar
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more recent case is the fight over
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network neutrality rules where lots and
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lots of startup companies went to the
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Federal Communications Commission and
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said, "We don't want broadband
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providers, the access providers, the
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internet service providers or ISPs as
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they're called to stop us from getting
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into the market or to basically tax us
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to say, well, you can only get to
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customers if you pay us this special
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fee." Um and so they were actually
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urging government to act in order to
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create a more open market. Great. Um you
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also say that ondemand services would
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bring what you call algorithmic
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competition policy questions to the
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four. Why is this important? What do you
00:12:00
mean by that? This is a really
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interesting issue. So competition
00:12:04
policy, I gave the example of Microsoft
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um is tremendously important to the
00:12:10
digital economy and uh the Microsoft
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case was an example where there was a
00:12:15
new kind of uh business model. Microsoft
00:12:18
was one of the first to build this
00:12:21
platform network-based business model
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where Windows benefited from all the
00:12:26
applications on top of Windows. uh but
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Windows would always want to uh ensure
00:12:31
that none of those applications would
00:12:33
then compete with it. Um and there was
00:12:36
tremendous benefits of that model. You
00:12:37
know, Microsoft did great things for
00:12:39
innovation. Uh but uh the Microsoft case
00:12:42
put a spotlight on some of the dangers
00:12:44
and the downsides. What we're seeing now
00:12:46
with these next generation platforms,
00:12:48
these ondemand platforms is a new twist
00:12:50
on that model. Um companies like Uber
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and Airbnb are built on algorithms. are
00:12:55
built on software that understands
00:12:56
supply and demand uh and matches people
00:12:59
on both sides of the network. Um and
00:13:02
again that's a tremendous boon for
00:13:03
competition and innovation. I'm not
00:13:05
saying it's bad by any means but it does
00:13:07
put the platform owner in a position of
00:13:09
unimaginable control. Um how do you know
00:13:13
that what you are paying for that Uber
00:13:15
ride is the efficient price? Uber says
00:13:18
well by definition it's what the
00:13:19
algorithm gives you. Well but who
00:13:20
controls the algorithm? Um, and what
00:13:23
stops the algorithm from colluding with
00:13:26
someone else's algorithm uh behind the
00:13:28
scenes to fix prices? And again, we have
00:13:30
antitrust doctrines about things like
00:13:33
price fixing, but those are based on
00:13:34
people in a smokefield room saying,
00:13:36
"Okay, you're going to charge this and
00:13:37
I'm going to charge that and if you
00:13:38
defect." Um, now it's all happening
00:13:40
silently through software. Um, and so I
00:13:43
think this is one of the great
00:13:44
competition policy challenges of our age
00:13:47
is how to prevent those kinds of
00:13:51
mechanisms from uh raising costs and
00:13:54
raising prices and hurting consumers
00:13:56
while still allowing flexibility for
00:13:57
companies to innovate and do things that
00:13:59
most of the time actually wind up uh
00:14:01
helping consumers.
00:14:03
So that brings us to the point you made
00:14:04
about algorithmic cartels. So how could
00:14:08
those come about? Uh well so again uh
00:14:11
the algorithms can talk to other
00:14:12
algorithms and we see this um already
00:14:15
you look at uh pricing on Amazon.com. So
00:14:18
Amazon has this platform that allows
00:14:20
anyone else to sell on Amazon.com and
00:14:23
they can set their price and a lot of
00:14:24
the companies that are sophisticated
00:14:25
that do this uh set their prices
00:14:28
algorithmically. So they might say
00:14:30
Amazon is charging this price
00:14:32
automatically charge 2% less than
00:14:34
Amazon's price. So when it comes up
00:14:36
they're the cheapest price. Um, but what
00:14:38
happens is you get this increasingly
00:14:40
complex uh war between the algorithms
00:14:43
because they're all basing their prices
00:14:44
on each other and so forth. And what can
00:14:47
potentially happen is uh companies
00:14:50
decide well no let's both agree we'll
00:14:52
set a price higher as opposed to
00:14:54
competing and a race to the bottom and
00:14:56
we'll both be better off but who's worse
00:14:58
off is consumers. So um that's a concern
00:15:00
that we're starting to see on platforms
00:15:02
like Amazon and it's more of a concern
00:15:05
on these digital ondemand platforms
00:15:08
where again everything is in software uh
00:15:10
and where you have lots of different
00:15:12
actors coming together um and uh we
00:15:16
don't even know what the mechanism is to
00:15:19
get access to the data to see if that's
00:15:21
what's happening. So how do you regulate
00:15:23
that? Uh well so it's a good question.
00:15:26
The first is you start to have a
00:15:27
conversation where the regulators say
00:15:29
here's what we're trying to achieve and
00:15:31
the companies say here's what we're
00:15:33
doing and you figure out what's
00:15:35
possible. Um ultimately as I said there
00:15:38
needs to be access to the data. Uh and
00:15:40
this is a great opportunity because
00:15:42
these new platforms generate tremendous
00:15:45
amounts of data. uh and if they uh and
00:15:48
they use the data internally to be more
00:15:50
efficient and to provide better service,
00:15:53
but if they could provide more
00:15:54
transparency of that data um that would
00:15:57
give regulators the opportunity to
00:16:00
identify what the market performance is
00:16:01
and this can be done in a secure way in
00:16:04
a way that doesn't uh harm them with
00:16:06
competitors and so forth. um but it's
00:16:09
actually making the regulation itself
00:16:11
more algorithm making the regulation
00:16:12
itself more datadriven which is a
00:16:14
healthy and a good thing and so I think
00:16:16
this is potentially the new model we're
00:16:19
going to come to uh but it takes the
00:16:22
company's willingness to work together
00:16:24
and not to you know make these sort of
00:16:26
great you know statements uh that oh we
00:16:28
don't need any regulation
00:16:30
so you mentioned alternatives to direct
00:16:33
direct regulation which are
00:16:35
self-regulation and what you call
00:16:37
co-regul regulation and delegated
00:16:39
regulation. Can you explain the
00:16:41
differences among all those? Yeah, these
00:16:43
are models that actually are used much
00:16:44
more widely elsewhere in the world,
00:16:46
especially in Europe for things like
00:16:48
internet content. Um, and there's a
00:16:50
whole variety of different models, but
00:16:51
basically u they start with the notion
00:16:54
that um companies individually and
00:16:57
industry collectives and industry groups
00:17:00
um potentially know the most about their
00:17:03
market. uh and if they're well-meaning,
00:17:05
they can come up with mechanisms that
00:17:07
achieve the goals of regulators without
00:17:10
government having to be intrusive and
00:17:11
without government having to be
00:17:13
inefficient. Um because regulatory
00:17:15
agencies don't have the data and they're
00:17:16
not set up to operate in that way. The
00:17:18
problem is you need some accountability.
00:17:20
So just saying let companies regulate
00:17:23
themselves is meaningless because
00:17:25
there's already always incentives for
00:17:26
companies to cheat or to game the system
00:17:29
or to basically help themselves at the
00:17:32
expense of the public. Um but there's a
00:17:34
variety of mechanisms where for example
00:17:36
government sets goals and then gives
00:17:38
industry or either individually or
00:17:40
industry groups uh uh opportunities to
00:17:42
meet it and then to report on how
00:17:44
they're doing and again to provide
00:17:45
transparency of the data. Um they're
00:17:47
mechanisms that basically say all right
00:17:50
in the first instance you have this
00:17:52
opportunity to act but if you don't act
00:17:54
in a way that we find appropriate then
00:17:57
we're going to intervene. Um and uh
00:18:00
again there's a variety of different
00:18:01
variations on these mechanisms. Uh but
00:18:04
it's an approach that says instead of
00:18:07
everything starts with the regulator the
00:18:08
regulator says yes or no before anything
00:18:11
happens in the marketplace. It says,
00:18:12
"All right, companies can come into the
00:18:14
marketplace, especially new companies."
00:18:15
Goes back to what I was saying before,
00:18:17
nent small innovators, should have lots
00:18:20
of running room. Uh because even a good
00:18:22
rule will kill them off when they're too
00:18:24
small. Um but that doesn't mean that
00:18:26
when you've got an Uber, which is a $65
00:18:29
billion company, it's one of the, you
00:18:31
know, the largest companies in the
00:18:32
world, even though it's not even public,
00:18:33
and has hundreds of millions of uh
00:18:36
people that it's serving around the
00:18:37
world. They're not a small company. um
00:18:40
they're fairly new, but but they're now
00:18:42
a large player that's having big
00:18:43
impacts. It doesn't make sense to say
00:18:45
that that approach makes sense for them
00:18:47
anymore. Um so the question is, can we
00:18:50
allow them in and then have a process to
00:18:53
then collaboratively have them work with
00:18:56
government uh and have them be more
00:18:58
transparent? And again, there's a
00:19:00
variety of ways to do that. And I'm not
00:19:02
arguing for any particular one as being
00:19:03
perfect. I'm arguing for an openness and
00:19:06
a recognition um that um regulation
00:19:10
isn't a dirty word. Any final thoughts
00:19:13
for policy makers and regulators?
00:19:17
Um so regulators have to take action
00:19:19
here too. It's not that they need to
00:19:21
just stay where they are and expect the
00:19:23
companies to come to them. Um often
00:19:25
there's lots of legacy in regulation and
00:19:27
some of it is regulators fault and some
00:19:28
of it is the fault of for example the
00:19:30
legislators that set up the rules. Um, a
00:19:32
lot of what we're seeing in these
00:19:34
markets is the need for legislative
00:19:36
change, for um, governments to change
00:19:39
the structure of the rules because the
00:19:40
rules use terms that no longer make
00:19:42
sense or they have categories that no
00:19:43
longer make sense. Um, and so there
00:19:46
needs to be a lot of dialogue between
00:19:48
industry and regulators and legislators
00:19:50
to say, all right, where are these
00:19:53
glitches? Let's fix them. Um, and
00:19:56
regulators need to be part of that and
00:19:58
not to just assume that the status quo
00:20:00
is the right approach. Um, regulators
00:20:02
also need to be open. They need to go to
00:20:03
these uh companies and say to them,
00:20:06
"Okay, we have shared goals here. We're
00:20:09
not here to put you out of business. Um,
00:20:11
but we care about consumers and we trust
00:20:13
that you do too. So, let's let's come up
00:20:14
with a solution." Um, and so it really
00:20:17
has to go both ways and and ultimately
00:20:19
this is about trust. There needs to be a
00:20:21
mutual process of generating trust
00:20:24
between these industries and the
00:20:26
regulators. Um, and in a lot of cases
00:20:29
that's lacking, but I'm hopeful and I
00:20:31
think the examples that we saw with the
00:20:32
growth of the internet really are a
00:20:33
story about um, good work on both sides
00:20:37
uh, that facilitated this extraordinary
00:20:39
explosion of innovation and wealth
00:20:41
creation that we saw. That's very well
00:20:43
said and thank you so much for joining
00:20:45
us. Thanks. My pleasure.
00:20:58
[Music]

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This episode stands out for the following:

  • 60
    Best concept / idea

Episode Highlights

  • The Internet of the World
    Kevin Warbach discusses the significant trends shaping our digital landscape, including the sharing economy and big data.
    “There are three trends that each in of themselves is significant.”
    @ 00m 54s
    February 03, 2017
  • Disruption vs. Innovation
    Warbach explains how new markets created by on-demand services like Uber are not just competitive threats but unlock new demand.
    “It's creating something new. It's unlocking latent demand.”
    @ 03m 07s
    February 03, 2017
  • Regulation and Innovation
    Warbach challenges the notion that regulation stifles innovation, citing historical examples where government action facilitated growth.
    “A surprising amount of the time it was government action actually facilitating innovation.”
    @ 05m 13s
    February 03, 2017
  • The Role of Regulators
    Regulators must actively engage with companies to foster innovation and trust.
    “Regulators need to be open.”
    @ 20m 02s
    February 03, 2017
  • Building Trust
    A mutual process of generating trust is essential between industries and regulators.
    “This is about trust.”
    @ 20m 19s
    February 03, 2017
  • Lessons from the Internet
    The growth of the internet showcases successful collaboration between regulators and innovators.
    “The examples that we saw with the growth of the internet...”
    @ 20m 32s
    February 03, 2017

Episode Quotes

  • Regulations don't always evolve as quickly as technological change.
    How to Regulate Innovation -- Without Killing It
  • Innovation needs to thrive with no regulation.
    How to Regulate Innovation -- Without Killing It
  • Government can actually be a positive force in innovative markets.
    How to Regulate Innovation -- Without Killing It
  • Regulation isn't a dirty word.
    How to Regulate Innovation -- Without Killing It
  • We have shared goals here.
    How to Regulate Innovation -- Without Killing It
  • This is about trust.
    How to Regulate Innovation -- Without Killing It

Key Moments

  • Digital Innovation00:02
  • Regulatory Challenges00:15
  • On-Demand Economy01:00
  • Disruptive Innovation02:10
  • Government's Role10:16
  • Regulation Discussion19:06
  • Trust Building20:19
  • Internet Growth Lessons20:32

Words per Minute Over Time

Vibes Breakdown

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