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Welcome to the Oxford Undergraduate Law Podcast where we discuss the law and its implications

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on our relationships, our markets, and our futures.

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I'm Siobhan.

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And I'm Bianca, and we're your hosts for this series.

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Today we are incredibly honoured to be speaking with Professor Ariel Ezrachi on the role of

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competition law in regulating big tech companies.

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Professor Ezrachi is the Slaughter and May Professor of Competition Law at the University

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of Oxford and the Director of the University of Oxford Centre for Competition Law and Policy.

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He's the co-editor-in-chief of the Journal of Antitrust Enforcement and the author and

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co-author of numerous books, including Competition Overdose and Virtual Competition.

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Professor Ezrachi's research and commentary have been featured in The Economist, The New

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Yorker, The Wall Street Journal, and many other influential international outlets.

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So to start off, what is competition law?

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So there is a basic assumption that we have as a society that competitive markets deliver

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welfare to us, to the community, to society, to customers.

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And the reason is that when you have competition, each one of us in a market tries their best

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to make money, and to do so we lower the prices so we can sell more, we improve the quality,

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and we improve the service.

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So you probably heard about Adam Smith, the invisible hand of competition.

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The general idea that it is at the heart of modern markets is that more competition benefits

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us.

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Now, competition makes life better for us as consumers, but it can make the life of

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sellers rather difficult.

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Because of course if you're a seller and you operate in a competitive market, you have

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to work very hard.

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You need to improve your product, you need to lower the price which requires you to become

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more efficient.

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And because of that, sometimes sellers may try to dumpen the competition.

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They might engage in cartels where they fix the price or share the market.

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Or you might have a very powerful company, we call them dominant companies, monopolies,

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that will abuse its market power.

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And this is where competition law steps in.

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So competition law is a set of regulations and laws that are aimed at protecting the

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dynamic of competition, making sure that we have undistorted competition, and making sure

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that we maximize consumer welfare.

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So it's a set of laws that prevent companies from engaging in anti-competitive agreements,

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prevent monopolies from abusing their powers, and also is relevant for mergers and acquisitions,

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because what we try to make sure is that as companies merge, this does not result in market

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power that can later distort competition on the market.

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So that's the basic idea behind competition law, making sure that markets work.

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Is there a difference between digital markets and regular markets?

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So in the regular market, we rely on the invisible hand that I mentioned earlier.

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And that means that you have demand and supply, and these powers, they determine what is the

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market price, and they determine how much choice you might have on the market.

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If you shift all of this into the digital arena, what you have is something that looks

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very much like a real market, but in reality, it is a market that is controlled by algorithms.

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And this is where the difference lies.

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You have, for instance, platforms or websites that control the interface.

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So if you go on a website to shop, someone can decide what it is that you see on that

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website and what it is that you don't.

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They can decide how much information is available to you.

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They can decide whether they want to target you specifically and engage in what we refer

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to as discriminatory pricing, whether to give you a discount.

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So the invisible hand in some ways is pushed aside and is replaced by a digitalized hand.

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It's a controlled environment that looks very much like real markets, but in fact, it's

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not.

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Let me give you just a few examples on what it means.

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Because I can, as an online operator, harvest quite a lot of your data, it means that I

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will know about your search history.

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I might know about your address, your postcode.

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I might have information about what you like, what you don't like.

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And I'm able, based on the patterns that I identified, to estimate what is your willingness

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to pay for a service.

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And what that does is enable me to charge you a specific price.

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I can charge you a higher price, making it look as if this is the market price.

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And indeed, we have a lot of examples of that and there are a lot of systems in place that

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engage in such discriminatory pricing.

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It's just something that you can do in terms of power, added power that you have because

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of big data and big algorithms.

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But it's not limited just to products and prices.

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If you think about the market for ideas, it also is relevant there.

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On the digital market, I will know much more about what you do, who do you interact with.

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So I can build a profile and I can micro target you accordingly.

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So of course, you heard the stories about Cambridge Analytica and you know the stories

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about how I can influence people's beliefs or political affiliations.

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All of that can be viewed also from a competition law perspective because it is all about market

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dynamics.

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It is all about the exchanges that we have.

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And in this digital arena, what competition law is trying to do is to ensure that markets

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are not distorted.

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So you have cases that deal with either using algorithms to fix the price.

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We have cases that deal with discrimination.

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We have a lot of cases and this is the main area of focus these days that look at platforms.

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The power of the platforms, either the ability to manipulate, but very often the ability

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to exploit us.

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This is really the focal point of a lot of what is discussed at the moment.

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So can you tell us a little bit more about some of the issues we face today with digital

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markets?

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So I guess the thing I will start with is the asymmetry of information.

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When you go shopping online, when you join the social network online, what you see is

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determined by engineers that sit on the other side.

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They have much more information about you than you think and they control much more

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than you are aware of.

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In fact, I tend to say that when you shop online or when you interact online, often

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you will walk on a path with a real sense of autonomy without appreciating that someone

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created that path especially for you and is leading you in a very specific direction.

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So most of us are completely unaware of the ability to use dark patterns, to use nudges

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or manipulation to affect what we do.

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And that's true of course in marketing and everywhere, but online there is just this

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enhanced capacity and this just changes the dynamics of competition.

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Linked to that, and that's another challenge, is the stealth mode of these elements.

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The fact that it's very hard to detect them.

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Even if you're aware that something is done from a strategic viewpoint, it's quite difficult

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to put your finger on the exact way in which dark patterns are utilized, in which someone

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is manipulated or the way it affects the price.

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Moving more toward the way markets operate, one of the key challenges are what we refer

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to as network effects.

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And network effects make it difficult for new companies to challenge the incumbent,

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challenge the companies that are already established on the market.

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And this is something which is a characteristic of many digital markets.

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So for instance, if I now invent a new social platform and I invite you to join and I tell

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you of all the benefits and you ask me, so how many other people are on your platform?

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And I tell you, well, you're the first one.

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That's not a very attractive proposition if you compare it to the billions of people that

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you have on other platforms, which means that it is quite difficult for newcomers to actually

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be able to surpass the barrier to entry to those markets.

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And network effects not only affect us as users, they also affect the sellers, the application

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developers, the providers, the advertisers.

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If I'm a new platform and I need to attract revenue, I need to provide a sufficiently

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large scale of users.

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And if I don't have that, then advertisers and all of those that actually pay for the

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services, because we call these multi-side markets, they will prefer to go to the leader,

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whoever is leading the market.

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And because of that, some of the markets that we have tipped in favor of the dominant company.

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And when you have a dominant company that feels very comfortable because it is not subjected

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to real potential competition, then they can start and change the way they behave.

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If you think of Facebook in the early days, privacy was a big thing.

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So when at some point Facebook changed some of the default definitions in terms of privacy,

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there was a real criticism.

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And back then, they apologized publicly and they said, we're so sorry, this is important

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for us that you feel comfortable and so forth.

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At some point when you gain power, you have to think slightly less about, we look at it

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as the quality of the service.

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Privacy can be regarded from a competition perspective as a reduction of quality.

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I can reduce privacy, reduce the quality that I offer you, because I know that you don't

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have outside options.

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It is harder for you to leave Facebook.

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Why?

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Because of the network effects.

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Of course you can, in theory, but you will have to take quite a lot of circles of friends

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with you.

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You might have already preferences.

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You might have affiliated products that are linked to that network.

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So the longer we stay, the harder it is for us to say goodbye.

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And the more I know about what makes you stay with me, the more I can make sure that I deliver

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that and I can start giving you less of other things that are very important for me.

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Because the less privacy I give you, it means that I have more data about you.

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Data is power and money because then I can profile you.

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I can sell that data to advertisers who can target you.

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I can sell that data for possibly political organizations who want to target you to convince

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you to join their cause.

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So micro targeting works really well when I know a lot about you and I give you very

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little protection.

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It's an interesting thing because when we started and you asked me about competition

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and competition law, I explained that markets work for us, the consumers.

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And in fact what I describe to you now is a situation where the market doesn't necessarily

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work for you as a user.

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And this is why some people argue that there is room for intervention because the market

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does not deliver.

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So are there any solutions that we can implement to combat these issues?

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It's a very good question and it's a simple question with a complicated answer.

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So the solution can come from various directions.

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For example, you can focus on the data and you can say who owns the data?

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So this can be a debate.

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Is the data yours or is it, let's say, the platform's?

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And once the platform worked on the data and engaged in analytics, is the product that

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they created yours or is it the platform's?

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And let's say that it's not yours.

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Can they transfer it to third parties?

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Do they have to allow access?

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And even if you look at that very simple interface, you can see that there is friction here between

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privacy and competition.

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Because your privacy might suggest that if I am your provider and I got your data, you

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say, well, it's one thing that you have my data, I don't want anyone else to have that

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data.

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That's my privacy.

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Whereas from a competition law perspective, we might say if we force the dominant player

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to give that data to third parties, there will be more competition and you will benefit.

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So it's not that all the policies are aligned because some policies protect our autonomy,

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some policies try to protect the market.

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So it can turn a little bit complicated.

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So I just mentioned this is an example of data, then you have privacy.

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And of course, you can have regulation such as GDPR that will protect your privacy.

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You can have the e-privacy regulation.

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You can have various rules that are there to protect your autonomy.

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The area that I focus on is the possible role of competition law in this story and the possible

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role of regulation.

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So competition law can impact in two or maybe even three significant ways.

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It can deal with what we refer to as abuse of dominant position.

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And if you heard about, for example, the Google case, the Google shopping case, so the European

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Commission accused Google of abusing its market position.

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Or if you heard about the Facebook case in Germany, the Bundeskartelln accused Facebook

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of exploiting its position and using it to harvest excess information from users.

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So this is one way to deal with it.

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Or through, if there is an agreement, you can also apply the law to anti-competitive

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agreements.

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Another way is to try and approach this in the area of mergers and acquisitions.

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A lot of those leading platforms engage in routine acquisitions of smaller companies

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that could become potential competitors and could maybe disrupt the market.

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So if we have better tools to monitor these transactions, we could have markets that are

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more competitive.

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And this could also help us resolve some of the problems that we discussed.

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Because if there is competition, then I need to start giving you a better service because

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I want to get your business.

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And if this is what I do, then if we spoke about privacy, I will have to offer you better

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protection when it comes to privacy.

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And you can also engage in something that is sometimes called market investigations.

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It's a preemptive tool where you just look at a market and you try to see how can we

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increase the competitiveness of the market.

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So antitrust law can work in two ways.

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One is reactive.

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This is sometimes referred to as ex post intervention, and one is proactive, preemptive.

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This is ex ante intervention.

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And the main challenge that we have is that often by the time you have a decision under

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antitrust laws, it might be slightly too late.

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The market has been distorted.

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There is very little competition.

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And many people would say that even in cases that were successful, the remedy did not restore

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competition on the market.

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And that affects the quality, the service, and the price.

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And in online, often the price is not money that we pay.

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We kind of pay with data usually, with information about ourselves.

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And because of that, because of the limitations of antitrust, this is why you probably came

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across a lot of reports on proposals for regulation.

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So the idea is to supplement and enhance the power of competition by having specific regulations

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that target platforms, target gatekeepers, target companies that have strategic power

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on the market.

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So the idea is to have this dual mechanism.

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Often law will deal with abuse of dominant position, anti-competitive agreements, of

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course mergers.

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But in some areas where you can preempt and you can identify a problem, we will have a

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specific regime.

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And that regime will apply to begin with on companies that are very powerful on the market.

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Basically, there will be a law that they will be subjected to and will restrict their power

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either when it comes to their behavior with relations to consumers or with relation to

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service providers.

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So it can have a lot of different implications depending on the market.

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So specifically relating to mergers and acquisitions, sometimes some startups enter the market with

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the sole purpose of being acquired by a bigger company.

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So why is it that mergers and acquisitions is the subject of increased scrutiny when

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sometimes it is both sides who, it is the goal of both sides to either buy or be bought?

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When we think about mergers and acquisitions in the digital environment, it's really interesting.

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On one hand, mergers can be extremely efficient because what you do is you create scale, you

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create access to new markets, you create greater network effects.

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All these things are super efficient and we can all benefit from them.

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And indeed, a lot of the merger transactions that we have in digital markets are approved.

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A lot of them involve very large platforms buying smaller companies.

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What is the problem or why is it that merger analysis is the subject to increased scrutiny?

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Because one of the fears is that large platforms are able to identify the future disruptors

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that are likely to inject competition into the market.

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And what they do is they buy them in order to kill competition.

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It has a term, it's called killer acquisitions.

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Now we don't think that all the transactions are killer acquisitions.

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In fact, probably very few of them, but that's one of the problems that we have.

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Another problem is that when you enable them to engage in all these acquisitions, they

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can also control the innovation paths.

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So if I am a dominant platform and you started to develop technology that will disrupt my

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business model, it might be that the best thing for me, because I have very deep pockets,

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is just to buy you.

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And what I'll do is I'll align your innovation with my value chain.

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Basically, I will kill the product, the future product that you were developing, but I will

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still use whatever it is that you do to develop a product that suits my value chain.

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And because of that, there are calls for better scrutiny of these transactions.

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What is the problem?

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That it's very hard in those markets that are very dynamic at the point that the merger

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takes place to say, well, in the future, that tiny company will become a relevant, viable

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competitor on the market.

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In fact, it is so speculative that it's almost impossible for a competition agency to establish

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that this will be the case.

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So some calls are, for example, to switch the burden of proof, to require companies

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to show that the merger is efficient rather than the competition agency to show that the

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merger is problematic.

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That is one approach that has been proposed.

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But there is also a warning, because if you will have a very strict regime when it comes

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to those transactions, you might also affect innovation by ruining the exit strategy of

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many of those small companies, because many of those small companies actually operate

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on the market expecting to be purchased because this is their way to achieve growth.

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Seeing that we have all these different types of solutions that we could implement, looking

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at how they're implemented in practice, do different jurisdictions have different regulation

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schemes?

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Different countries sometimes have different ideas as to the role of the government and

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the role of the state.

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So some countries will have this sense that the state is responsible to designing the

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market and because of that, they may engage in more competition law enforcement and also

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use regulation much more.

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And this would be, the EU is a good example.

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We have a proactive regime and of course we have proposals, the Digital Market Act, the

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Digital Services Act, proposals for significant regulation that will affect the role of platforms.

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If you shift to the US, traditionally they had a somewhat different approach.

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They believe much more in the power of markets to self-correct and they also tend to believe

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that the government should have a very limited role.

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Now there is an ideology behind it because of course governments, when they engage in

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regulation, they might get it wrong.

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We call that government error.

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Sometimes they might be subjected to biases, to capture, and all of that might result in

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sub-optimal markets or sub-optimal regulation.

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Sometimes also when you have dynamic markets that change very often, if you have a regulatory

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regime, something heavy, that moves very slowly, it might be that the market changed but the

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regulation is still the same regulation of five years ago.

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So it is the wrong tool for the task.

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So it is not very effective and it might even accelerate some disruptions or distortions

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on the market.

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And because of that, if we focus first on competition, antitrust enforcement, you tend

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to see in the US a much more limited enforcement of antitrust and in the EU greater enforcement

305
00:24:48,400 --> 00:24:53,400
and this is because of different ideas about the ability of the market to self-correct

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and the costs of over-enforcement.

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00:24:58,160 --> 00:25:04,960
And on top of that, when it comes to regulation, in the EU regulation is seen as the way forward.

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00:25:04,960 --> 00:25:11,460
In the US that has yet to be endorsed as the solution.

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00:25:11,460 --> 00:25:18,560
So we had at the end of last year, we had the Congress report, very interesting report

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00:25:18,560 --> 00:25:26,280
from the House Judiciary Committee on antitrust and when they looked at Google, Apple, Facebook

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00:25:26,280 --> 00:25:34,960
and Amazon, they tried to identify the problems, the difficulties and also tried to give a

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sense of what is the solution.

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And their solution is not introduce more regulation but apply greater antitrust, break up some

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of the giant companies, have better merger control.

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00:25:49,560 --> 00:25:56,120
So it might be, it's a different way of delivering the medicine, let's say, because we all differ

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00:25:56,120 --> 00:26:01,640
in our understanding of how markets operate, in our philosophy, do we trust markets, do

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00:26:01,640 --> 00:26:03,320
we trust companies?

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00:26:03,320 --> 00:26:09,040
It's quite interesting, different people from different jurisdictions will have very different

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00:26:09,040 --> 00:26:13,280
ideologies even if not consciously.

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00:26:13,280 --> 00:26:21,880
I find it quite interesting that in Europe people tend to distrust companies and they

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00:26:21,880 --> 00:26:25,260
feel comfortable with their governments.

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In the US, generally speaking, people tend to distrust the government and will trust

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00:26:32,840 --> 00:26:33,840
companies.

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00:26:33,840 --> 00:26:36,440
So this is just something, it's not directly linked to our discussion but of course it

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00:26:36,440 --> 00:26:41,160
will affect the toolbox that you will create.

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So there's no easy answer to those questions but this is also what makes it a fascinating

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area.

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00:26:50,240 --> 00:26:56,920
And we focused a lot on privacy just to highlight what about algorithms, what about auditing

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00:26:56,920 --> 00:27:03,120
algorithms, what about deciding whether an algorithm can harvest your information, whether

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00:27:03,120 --> 00:27:06,560
an algorithm can analyze your information.

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00:27:06,560 --> 00:27:10,700
Is it okay that someone is micro-targeting me?

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00:27:10,700 --> 00:27:18,240
Is it okay that there is an algorithm that compares prices and is able then to assess

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00:27:18,240 --> 00:27:20,760
the possibility of increasing the price?

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00:27:20,760 --> 00:27:22,920
So we have a lot of automation.

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00:27:22,920 --> 00:27:29,040
There is a wonderful experiment by an Italian group that created artificial intelligence

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00:27:29,040 --> 00:27:30,040
algorithm.

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So they're using Q-learning which is a form of artificial intelligence, relatively simple.

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And those algorithms are able to increase the price in the market without infringing

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00:27:43,640 --> 00:27:45,720
competition.

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That's quite remarkable.

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So they engage in something we call tacit collusion and they are able to align their

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00:27:52,440 --> 00:27:56,620
policies without entering into an illegal agreement.

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00:27:56,620 --> 00:28:02,080
So there is so much that is changing and if there is one thing that I think we should

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just appreciate is that this is not a simple evolution of the way markets operated.

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These are completely new tools that require us to think outside the box in many ways.

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Just to appreciate that the dynamics and forces that shape modern markets are very different

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and the hope is that enforcement regulation will not lag behind.

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They will be able to remain effective because what you hope is that markets eventually will

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continue to work for consumers rather than the other way around.

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Consumers working for the market which you can argue is sometimes the case when you think

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about some of the leading platforms.

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Is there a better regulation scheme to implement?

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Is one jurisdiction doing a better job?

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00:28:59,460 --> 00:29:04,520
So if you think of regulation or competition enforcement as a medicine, think about you

355
00:29:04,520 --> 00:29:06,280
going to the doctor.

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00:29:06,280 --> 00:29:11,200
The doctor prescribes you with a medicine and you know that you have to take exactly

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00:29:11,200 --> 00:29:13,920
what was prescribed.

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00:29:13,920 --> 00:29:18,540
If you undertake it you will continue to be ill.

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If you overtake it you might become even worse or you might even die.

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So this is why you really rely on the doctor to give you the right amount of medicine.

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And we're lucky that we have science so it's very clear in most cases what exactly is the

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00:29:35,840 --> 00:29:36,840
right treatment.

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00:29:36,840 --> 00:29:42,240
Now if you think of competition and regulation as a medicine the problem is you don't have

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00:29:42,240 --> 00:29:43,720
a doctor.

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00:29:43,720 --> 00:29:48,880
You don't have science, accurate science that tells you how much of the medicine you need.

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00:29:48,880 --> 00:29:57,080
So the debate that you see is basically the debate on how much of it should we prescribe.

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00:29:57,080 --> 00:30:02,520
In the EU if we speak about competition enforcement the attitude has been for many years that

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00:30:02,520 --> 00:30:09,880
we need more of the medication because the US is under-medicating.

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And US criticized the EU.

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00:30:12,080 --> 00:30:18,360
You had a lot of statements from the US in the Google cases, in other cases saying the

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00:30:18,360 --> 00:30:21,840
EU is over-intervening.

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And if you over-intervene you will distort the market and you might chill competition.

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You might create a disincentive and companies will not compete as fiercely as they would

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otherwise.

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00:30:34,480 --> 00:30:40,860
The interesting thing is that in the past two years the US has gone through a major

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00:30:40,860 --> 00:30:47,480
change in attitude starting also already with the Trump administration because of several

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00:30:47,480 --> 00:30:54,680
issues that he had with the leading platforms, him believing that they are restricting his

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00:30:54,680 --> 00:31:03,080
access when it comes to customer base and scale when it comes to Twitter, Facebook,

379
00:31:03,080 --> 00:31:04,080
Google.

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00:31:04,080 --> 00:31:10,480
So what happened in the US that they completely shifted from under-enforcement into something

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00:31:10,480 --> 00:31:18,560
that much more resembles now the attitude in the European Union and indeed if you look

382
00:31:18,560 --> 00:31:26,520
at the very recent Google and Facebook claims that were launched in the US they are even

383
00:31:26,520 --> 00:31:31,440
more expansive than what was done here in the EU.

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00:31:31,440 --> 00:31:38,280
So it tells you something about this debate on how much of the medicine we should use

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00:31:38,280 --> 00:31:44,080
because you have a real-time experiment where you have the doctor from the US who changed

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00:31:44,080 --> 00:31:49,720
his or her opinion on how much medicine is supposed to be used and now is prescribing

387
00:31:49,720 --> 00:31:52,260
much more medicine.

388
00:31:52,260 --> 00:31:57,640
The logic behind it is that if you understand that markets are not easily self-correcting

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00:31:57,640 --> 00:32:04,200
then under-dosing on competition law will result in under-enforcement.

390
00:32:04,200 --> 00:32:09,040
And this is why there is a preference to overdose to try and correct it.

391
00:32:09,040 --> 00:32:13,880
So this is why you have differences and it's very hard to say who's right or who's wrong

392
00:32:13,880 --> 00:32:17,120
because it's not accurate science.

393
00:32:17,120 --> 00:32:19,600
And the same would apply to regulation.

394
00:32:19,600 --> 00:32:26,360
The big proposals that we have at the moment in Europe, the DMA and DSA, are still in the

395
00:32:26,360 --> 00:32:28,040
pipeline.

396
00:32:28,040 --> 00:32:34,160
We have more than a year before we will start to see how the final product might look like.

397
00:32:34,160 --> 00:32:36,200
So there are costs.

398
00:32:36,200 --> 00:32:44,640
If you limit the regulation only to dominant companies, costs on other companies are lower

399
00:32:44,640 --> 00:32:50,320
or non-existent, which means that you minimize the distortion that the regulation creates.

400
00:32:50,320 --> 00:32:57,000
If you over-require those companies to give access to other companies, let's say for data,

401
00:32:57,000 --> 00:33:02,420
when it comes to data, then maybe you will create free riding.

402
00:33:02,420 --> 00:33:09,000
If there is a dominant company that is obliged to give me access to the data that it collected,

403
00:33:09,000 --> 00:33:14,980
as a third party I will become lazy because I'll say I can use the law and force you

404
00:33:14,980 --> 00:33:17,120
to give me the data you have.

405
00:33:17,120 --> 00:33:23,840
So almost any action that you take in this game can have a benefit and can have a cost.

406
00:33:23,840 --> 00:33:28,720
And the great challenge when you engage in public policy, either in competition law enforcement

407
00:33:28,720 --> 00:33:32,800
or regulation, is to engage in fine-tuning.

408
00:33:32,800 --> 00:33:40,000
And every measure that you put in place, you have to think what is the benefit, what is

409
00:33:40,000 --> 00:33:41,900
the potential cost.

410
00:33:41,900 --> 00:33:50,640
Even the GDPR, which governs data protection in Europe and we all benefit from, is a great

411
00:33:50,640 --> 00:33:53,400
regulation but it also comes with a cost.

412
00:33:53,400 --> 00:34:00,480
For example, it created an opportunity for those who control the data to limit access

413
00:34:00,480 --> 00:34:05,560
to the data when it comes to third parties.

414
00:34:05,560 --> 00:34:13,080
So every action that we take as the state, as policymakers, as enforcers, has some sort

415
00:34:13,080 --> 00:34:16,040
of implications.

416
00:34:16,040 --> 00:34:21,800
And the aim is to try and predict those implications, try to think how this regulation might be

417
00:34:21,800 --> 00:34:29,280
misused and what is the best way to communicate or to reach the desired outcome.

418
00:34:29,280 --> 00:34:34,840
So again, like if we go back to the idea of the medicine, how much do you prescribe the

419
00:34:34,840 --> 00:34:37,560
medicine is very challenging.

420
00:34:37,560 --> 00:34:42,560
I think generally speaking there is a consensus that at the moment we under enforce when it

421
00:34:42,560 --> 00:34:44,640
comes to merger control.

422
00:34:44,640 --> 00:34:48,240
But again, the details are what is important here.

423
00:34:48,240 --> 00:34:55,520
There have been so many reports now that try to look at it in detail and really identify

424
00:34:55,520 --> 00:35:00,400
better or more accurate benchmarks for intervention.

425
00:35:00,400 --> 00:35:06,000
Since these technology platforms have such a global reach, do differences in regulations

426
00:35:06,000 --> 00:35:10,120
across jurisdictions pose any difficulties?

427
00:35:10,120 --> 00:35:14,420
You're a company and there is one state that tells you do this and the other state tells

428
00:35:14,420 --> 00:35:16,060
you do that.

429
00:35:16,060 --> 00:35:18,880
And if those two instructions conflict, it's a real problem.

430
00:35:18,880 --> 00:35:21,160
There is a real cost there for you.

431
00:35:21,160 --> 00:35:26,760
So we try to minimize system friction and this is why there are constant calls for cooperation

432
00:35:26,760 --> 00:35:28,280
and collaboration.

433
00:35:28,280 --> 00:35:32,480
And it's true for taxation, it's true for everything, of course also for competition,

434
00:35:32,480 --> 00:35:38,120
law, data protection, but there are limits to cooperation because of these ideological

435
00:35:38,120 --> 00:35:39,120
differences.

436
00:35:39,120 --> 00:35:45,560
Because if I believe in free market and minimal state, minimal government, and you believe

437
00:35:45,560 --> 00:35:51,120
in large government and more intervention, then of course we will find it more difficult

438
00:35:51,120 --> 00:35:54,300
to agree on certain things.

439
00:35:54,300 --> 00:36:04,480
But beyond that, when it comes to us as consumers, what it could suggest is that, let's say,

440
00:36:04,480 --> 00:36:13,240
customers in the EU will be subjected to different regime or strategies than customers in the

441
00:36:13,240 --> 00:36:17,920
US or Canada or South Africa or New Zealand.

442
00:36:17,920 --> 00:36:19,600
So I'll give you an example.

443
00:36:19,600 --> 00:36:30,120
In Germany, Facebook users get at the moment greater privacy than Facebook users in the

444
00:36:30,120 --> 00:36:32,640
US.

445
00:36:32,640 --> 00:36:38,680
Specifically looking at the UK and in light of its recent exit from the European Union,

446
00:36:38,680 --> 00:36:43,960
do you think that there will be any significant changes in regulation of big tech companies

447
00:36:43,960 --> 00:36:45,880
in the UK?

448
00:36:45,880 --> 00:36:54,500
So in broad lines, the UK has legislation that is very similar to the EU.

449
00:36:54,500 --> 00:37:02,160
But of course, Brexit means that the UK can now move beyond and develop its own approach

450
00:37:02,160 --> 00:37:04,020
that might be very different.

451
00:37:04,020 --> 00:37:13,200
So if you think on the topics that we discussed, so in the UK we have a digital market unit

452
00:37:13,200 --> 00:37:20,480
that the idea is that it will govern this whole area.

453
00:37:20,480 --> 00:37:30,160
And then there is this idea of creating a pro-competitive ex-ante framework, so a pre-emptive

454
00:37:30,160 --> 00:37:34,600
framework that will be quite different from the digital market act or the digital service

455
00:37:34,600 --> 00:37:35,600
act.

456
00:37:35,600 --> 00:37:37,880
It will deal with strategic market status.

457
00:37:37,880 --> 00:37:41,520
And so I guess what I'm saying is the mechanism starts to differ.

458
00:37:41,520 --> 00:37:46,440
You can already see that here in the UK we're taking a slightly different approach.

459
00:37:46,440 --> 00:37:53,320
The aim is very much the same, but again, now the UK is using some, in the EU in general,

460
00:37:53,320 --> 00:37:59,240
if you look at the proposed regulation, it looks like a shopping list of various activities

461
00:37:59,240 --> 00:38:04,160
that the company might engage in and saying if you do that, that will be illegal.

462
00:38:04,160 --> 00:38:10,920
The UK has taken an approach that tries to create a rule and basically says if you have

463
00:38:10,920 --> 00:38:19,280
strategic power, we will tailor for you a regime that will address the circumstances

464
00:38:19,280 --> 00:38:21,080
in which you operate.

465
00:38:21,080 --> 00:38:25,000
So something that looks a little bit more nuanced and it will continue to evolve in

466
00:38:25,000 --> 00:38:33,680
a way where we all try, I believe, to achieve the same goals, but we will start to see differences.

467
00:38:33,680 --> 00:38:36,040
We will see differences in merger control.

468
00:38:36,040 --> 00:38:42,120
We will certainly see differences in the regulatory regimes and we'll also see differences in

469
00:38:42,120 --> 00:38:48,080
the way competition law is applied here in the UK and in the European Union.

470
00:38:48,080 --> 00:38:52,960
Are we likely to see more regulation aimed at data sharing?

471
00:38:52,960 --> 00:39:00,880
So data access, data portability, data mobility, these are big things and here you have an

472
00:39:00,880 --> 00:39:06,880
intersection between intellectual property rights, between privacy, between competition

473
00:39:06,880 --> 00:39:13,320
law and you really see the complexity in that junction when all of them meet.

474
00:39:13,320 --> 00:39:20,320
There is certainly, if your focus is on markets exhibiting barriers to entry, there is certainly

475
00:39:20,320 --> 00:39:29,000
an attempt to increase access to data and I think it is likely that we will see if we're

476
00:39:29,000 --> 00:39:34,440
basing it on the reports that we had in the UK, also in Europe by the way, if we base

477
00:39:34,440 --> 00:39:41,520
it on general statements from stakeholders and policymakers, it is likely that we will

478
00:39:41,520 --> 00:39:44,600
see something along those lines.

479
00:39:44,600 --> 00:39:49,600
But again, the details are the important thing here because it's not all data.

480
00:39:49,600 --> 00:39:52,400
Because of course, A, we have the issue of privacy.

481
00:39:52,400 --> 00:39:55,400
So what kind of data?

482
00:39:55,400 --> 00:39:56,860
Is it aggregated data?

483
00:39:56,860 --> 00:39:58,000
Is it personal data?

484
00:39:58,000 --> 00:40:01,580
And all these things will require much more fine tuning.

485
00:40:01,580 --> 00:40:07,240
Another thing is data mobility to enable you to just say, I'm just taking all my data with

486
00:40:07,240 --> 00:40:14,160
me and going to another provider and here as well we have interoperability, a question

487
00:40:14,160 --> 00:40:21,160
of can that data actually be used easily somewhere else?

488
00:40:21,160 --> 00:40:26,040
And if you take your data, do you take your data or do you take the data that was subjected

489
00:40:26,040 --> 00:40:27,040
to analytics?

490
00:40:27,040 --> 00:40:29,560
Because obviously the analytics were not yours.

491
00:40:29,560 --> 00:40:34,280
But certainly, generally speaking, certainly this is a direction that we are likely to

492
00:40:34,280 --> 00:40:41,400
see either through the attempt to increase data mobility, portability, or to increase

493
00:40:41,400 --> 00:40:42,400
data access.

494
00:40:42,400 --> 00:40:45,120
That's all the questions that we have for today.

495
00:40:45,120 --> 00:40:49,880
Thank you so much, Professor Ezrachi for joining us and discussing the role of competition

496
00:40:49,880 --> 00:40:53,200
law in regulating these big tech companies.

497
00:40:53,200 --> 00:40:55,360
My pleasure.

498
00:40:55,360 --> 00:41:00,760
That was Professor Ezrachi speaking with us on the regulation of big tech companies.

499
00:41:00,760 --> 00:41:05,920
For more interesting legal discussions and writings, visit the OUULJ's blog and read

500
00:41:05,920 --> 00:41:08,120
our annual publications.

501
00:41:08,120 --> 00:41:10,760
This is the last podcast featured for Trinity.

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00:41:10,760 --> 00:41:13,200
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