In short
Better Offline Podcast Episode Summary
Episode Title
A Nobel Economist's Plan To Tax Digital Ads
Host
Ed Zitron
Guest
Daron Acemoglu, MIT Economist and Nobel Prize Winner
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Overview In this episode of Better Offline, Ed Zitron interviews Daron Acemoglu, who discusses an innovative tax proposal aimed at digital advertising revenues. This plan seeks to impose a 50% tax on all digital advertising revenue exceeding $500 million to realign incentives within the tech industry.
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Key Concepts Discussed
The Need for Taxation on Digital Ads
- Simple Implementation: Acemoglu describes the taxation model as straightforward to explain and implement.
- Underlying Problems:
- Data Privacy: The current digital ad model incentivizes platforms to collect extensive personal data, leading to privacy intrusions.
- User Engagement: Platforms stimulate harmful emotional responses (e.g., envy, outrage) to keep users engaged, potentially exacerbating mental health issues.
- Reduced Competition: The dominance of major platforms like Google and Facebook discourages new entrants by creating a difficult environment for subscription-based services.
Incentives for Change
- Shift in Business Models: The proposed tax would encourage platforms to explore subscription models and higher quality content offerings instead of relying solely on digital ads.
- Cultural Shift: Users accustomed to free services might have to adjust to a landscape where they pay for quality services, countering the tendency toward a "race to the bottom" in service quality.
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Potential Effects of the Tax
Impact on Big Tech Companies
- Revenue Adjustment: Companies like Meta would face significant revenue reductions but could pivot towards offering better services that might be subscription-based.
- Market Opportunity: A taxed system could allow smaller companies to compete by providing innovative services free from the overwhelming power of digital ad revenues.
Addressing Consumer Expectations
- Understanding Cost: Many consumers may not recognize the costs associated with free services, necessitating a cultural shift toward valuing privacy and quality over free access.
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Broader Implications and Solutions
Regulatory Measures
- Section 230 Reform: Acemoglu suggests modifying this law to hold platforms accountable for algorithmically boosted content, aligning their responsibilities more closely with traditional media.
- Antitrust Policies: Strengthening antitrust legislation would prevent monopolistic behaviors and promote competition within the digital landscape.
Future of Digital Infrastructure
- Federal Role in Innovation: A federal agency focused on AI could support socially beneficial technologies, addressing the gaps left by venture capitalists who prioritize quick returns.
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Conclusion Ed Zitron and Daron Acemoglu delve into how taxing digital advertising could reshape the tech landscape, balancing consumer expectations with the responsibilities of tech giants. The episode underscores the importance of regulatory measures to foster a healthier digital ecosystem that prioritizes user welfare over profit.
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Additional Resources
- Research Paper: [The Urgent Need to Tax Digital Advertising](https://shapingwork.mit.edu/research/the-urgent-need-to-tax-digital-advertising/)
- Podcast Links & Community:
- [Better Offline Links](https://www.tinyurl.com/betterofflinelinks)
- [Reddit Community](https://www.reddit.com/r/BetterOffline/)
- [Discord Chat](https://discord.com/invite/QUUQUP9szv)
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How to Listen For more insightful discussions from Better Offline, subscribe via platforms like iHeartRadio, Apple Podcasts, or your preferred podcast app.
Written by AI. May contain mistakes. Listen to the episode to check what was said.
Transcript
Automatic transcript. May contain errors.0:00This is an iHeart Podcast.
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3:29Back in March of this year, MIT economist Derone Asimoglu and MIT Sloan's Simon Johnson published a paper called The Urgent Need to Tax Digital Advertising, where digital advertisers will be levied with a flat tax of 50 % on all revenue above$500 million. And today I'm joined by Derone to walk through it. Derone, thank you for coming on. Thank you. Thanks, Ed. It's It's my pleasure. So walk me through the idea. It seems pretty simple, but maybe there's more nuance to it. Well, it's very simple to implement. It's very simple to explain. The question is why? Why do something like this? After all, who doesn't love something free?
4:05And we're getting a lot of free things because the entire online ecosystem is monetized via digital ads. Right. The issue is, I think this ecosystem creates a number of problems which are set to get worse with AI. Right. The most obvious of those is something that's been discussed quite a bit over the last few years, which is that monetizing via digital ads means that you are going to encourage platforms to collect more and more data about people. and this creates a much more intrusive lower privacy and potentially distorted sort of system right the second perhaps corollary or separate thing which has started receiving more attention is that this also means you want to make sure that the eyeballs are glued to the screen which or large screen, small screen.
5:18And that itself might generate a lot of other problems, including perhaps mental health problems, because you try to get people to stay on the platform by inducing strong emotions, envy, jealousy, anger, outrage, and so on. And sort of it creates a very different type of social environment than we are used to with widespread negative consequences. But I think the one that I'm most worried about is that this reduces competition. It is impossible today for any service by a newcomer to come in and say, okay, you're going to get this from Google, Facebook, Instagram for free, and I'm going to provide higher quality content for which you have to pay a subscription fee or something else.
6:10Especially difficult because newcomers are not going to have the network. There's going to be uncertainty about their quality. So it really cements a system where everything is going to be monetized via digital ads. And that's going to discourage the entry of new products, new services, and especially new technologies. For example, everybody worries about what social media and other online platforms and AI will imply for democracy. Well, something that actually creates more pro-democratic conversations, higher quality content, that's going to be very difficult to get off the ground today. Right.
6:50So how does this tax actually change the incentive though? Well, I think the main way in which it changes the incentives is that it makes it possibly more likely that both existing platforms and new platforms will now say, let me experiment with new products that are higher quality for which I can build a clientele via subscription fees or other things. Because if I get$100 million via digital ads, half of it is going to go away. If I can get that money via subscription fees, that's good. It's no longer so inferior to doing it via digital ads. But I think one of the things that concerns me with it, or maybe it's less of a concern and more just the after effect will be, is that people are used to not paying for social media.
7:42That's why this needs to be high. You know, if this was a 10 % tax, it wouldn't make so much of a difference. So in some sense, when I mentioned ecosystem, I was intending to imply by that both what the offering side, the platforms are doing, and what the consumers are expecting. So there's a synergistic relationship between users, consumers, and the firms. And you want to change that relationship. Again, you wouldn't want to do it if the market system was working perfectly and everything was hunky-dory, but I think there's a lot of evidence that's not the case at the moment. So, and the incentives would be that they just can't make that much money off of digital ads so they will have to find new business lines.
8:25But could this not potentially kill off the idea of the free social network? Well, first of all, I think that idea has become excessive. If we scale it back, it wouldn't be so bad. And in some sense, I think the purpose is to scale it back because once everybody expects everything for free, that does create a race to the bottom in terms of quality, in terms of data protection, in terms of new technologies that will actually change the face of the kinds of offerings that we get. Right. And I remember in the past, we've had companies try paid social networks, and it just hasn't worked. Well, it didn't work because they were up against free social networks, monetized via digital ads, especially at a time when people didn't understand what the costs of these things were.
9:20You know, I think even today, there are consumers who do not fully recognize the amount of data that's being collected about them. So, if you go back 10 years ago, I think both the sort of addictive or quasi-addictive nature of social media, the extensive data collection and how that data can be used both, you know, to guide you towards certain products, perhaps to behaviorally manipulate you, or perhaps to charge you higher prices. All of these things were not completely understood. And I get what you mean. It's like the later stage model of Instagram and Facebook is so different because when everything's free, you don't really have a mechanism to control the customer other than just tricking them, just continually manipulating.
10:12I mean, I'm not going to say everything is tricking. There is tricking. There is tricking. It's not everything. So, you know, when you get an ad, it's useful. Right. You're finding out about products. But what is the trade-off between how much of your private data you want other people to have access to versus getting some of those products? And second, once people, once platforms have access to that data, what is there to stop them from offering some of the manipulative products as well as some of the useful products?
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14:17So, perhaps the biggest thing, because just while prepping for this episode, I went and did some math. And what you're suggesting would kill Meta. Now, I'm not saying that you're suggesting you should kill Meta. I'm just saying that Meta's, for the last four quarters, their net income was$51.35 billion. Off of$130 billion worth of revenue. So this would make their business model untenable. Is that? Well, first of all, no. I mean, you know, instead of$55 billion, if they make, you know,$30 billion, it's not the end of the world. I would be happy to have a company that is worth$30 billion. Oh, as would I.
14:55But the hope is that they would also then offer products and services that are higher quality, that are subscription-based. You know, we know people still, you know, pay for certain things, although less like Netflix. Netflix is also now being sort of being forced to move more in that direction. You know, is there a world in which higher quality Netflix for which some people pay is viable? whereas some lower quality one, monetized via ads, also coexist? I think those are questions, and I think it sort of opens up the market system to different sort of forces. So if there is a paid WhatsApp that has better security features, and you don't get these completely unexpected, annoying things that have started popping up in WhatsApp, perhaps that's attractive, and some people would be happy to pay$10 a year for that.
15:57Kind of feels like the advertising model is a lazy man's business as well, because it doesn't incentivize you to make a better product. It incentivizes a monopoly. Right. And how did I arrive to this idea? My shtick for the last two decades at least, and especially with regards to AI and digital technologies, is these technologies are extremely malleable. We can develop them in different ways. We can have higher quality technologies that increase worker productivity, or we can have rot automation, lazy automation. Right. We can have addictive social media that makes you go into your cocoon and you become uninterested in forming bridges and engaging in democratic citizenry.
16:49Or we can have platforms that actually encourage different types of communications and the active citizenry that democracy requires. Which ones of those will be? And I think since we have gone more and more in the automation way and in the sort of toxic environment of social media, a change requires new products, new technologies. And that means a more open system. And so the way that I sort of started sort of coming towards this idea was, well, what's a barrier to this? Well, the fact that there are a few big tech companies that can acquire competitors is a barrier. But so is the fact that even if they don't acquire you, they pigeonhole you into the same ecosystem in which they exist.
17:42And I think that's a big problem. how do you mean they pigeonhole you even if they haven't acquired you as a user because to compete against them you need to also offer your products for free which means the only thing you can do is for digital advertising if you need high quality data you can't afford it you're not going to have an incentive to get it if you need for high quality niche products you know nobody's going to buy them because everybody is used to this free freebies and it's everything right so it creates a kind of race yeah a race to the bottom but also just there's no way to there's no reason they would have to compete like you couldn't compete as they it we haven't really seen any new social networks in years other than blue sky and threads and threads is a part of a part of the facebook machine and we have seen tiktok but tiktok is just a amplification of the same business model same monetization system same sort of weaknesses being exploited as instagram facebook and so on and they burned and they burned billions and billions of dollars to get there it wasn't like the people try and i don't know why people would possibly think this but they frame bite dance some plucky upstart versus just a massively funded chinese juggernaut actually why i actually use the word ecosystem because this model itself is highly synergistic with companies growing very fast.
19:05And why do they grow very fast? Because they want market share, they want to dominate the market, but they also want data. And how is that possible? How can you grow so fast? Well, you get venture capital or Microsoft to bankroll you as in the case of OpenAI, So you burn through a lot of cash early on in order to get data dominance and market dominance. And again, it's not a pro-competitive picture that's emerging here. I feel like generative AI is something separate because with that, they don't have a business model yet. They do not have a business model. But you know what that does? It makes it even more likely that we're going to just repeat the same sins of earlier social media.
19:49Look at what is OpenAI doing? It's burning through a lot of cash in order to acquire market share and data. It's not monetizing through anything. And I think the most likely cash cow ideas that are coming up is we're going to use generative AI for internet search, and we're going to take over the digital ad revenues. Well, that's more of the same. And I don't, different conversation. I don't think that'll work, but it's, nevertheless, I can see the idea. It's funny, these incentives really have, I've never really thought about it before this conversation, but it feels like digital advertising really did harm the tech industry in that they found something very profitable that got more profitable without making the user's life better at all.
20:32Well, Larry Page and Sergey Brin, when they first formed their company, said, we don't want ads. That's not like a good model. Yeah. It's antithetical to a good search product. The moment somebody came and gave them venture capital money and said, but we do it so that You can actually start monetizing it via digital ads, yes. What if you were super rich? But it doesn't sound like this would kill the digital ads industry. I don't think we should kill it either. I mean, I think, again, if we created a monolith, a monoculture, that wouldn't be good. If everything was online, everything was based on subscription, that wouldn't be a good model either.
21:12So you want a variety. but so well here's a more operational level i'm guessing that this would also have to have some way of uh cutting through things like if people set up subsidiaries to try and pass off the tax as well you would have to make sure that there was a way of rounding that out you know that's why this is not a sort of a graduated tax that is easier to gain but if you know 500 million you know it's like a very small amount of money so you just set a minimum like that perhaps a little bit more so that the really small companies are not burdened by it we know one problem for example with the european gdpr is that once you put a regulation like that the burden is heavier on smaller companies and so it actually creates a competitive advantage for the large platforms you don't want to do that but i think 500 million would actually that would make a very healthy market for smaller companies which is great we want more smaller companies as well but wouldn't i i think that this would help with the problem a great deal but don't we also need something to do with the algorithms themselves because i feel we could do this and it would solve some problems it would begin incentivizing them in the right direction theoretically yeah but you still have this problem of they wouldn't stop algorithm in fact this might encourage them to be more algorithmically abusive absolutely and that's why i don't think this is a silver bullet You know, you need a range of policies.
22:41But the hope is that at least such a policy would create some push towards some platforms and products to have better quality algorithms that don't trap you like that. But, for example, if we're talking about social media, we should also be talking about repeal or relaxation of Section 230 of the Digital Act so that companies that algorithmically boost content cannot then say, well, this is not our speech. This is somebody else's thing. We have nothing to do with it. So there are some details there that we have to think about. And I think Section 230, which was written at a different age in the 1990s, is definitely not up for dealing with issues of algorithmic boosting.
23:29And debating Section 230 aside, because that is also a separate conversation, it does feel like we have just kind of not given tech companies much responsibility for what they're doing. No, exactly. There's just none. That's the main reason why I want to have a conversation about Section 230, because it can't be optimal that corporations that are arguably the largest and the most powerful humanity has ever seen can then wash off their hands and say, we're not responsible for anything that happens on our platforms. yeah it feels with with 230 and i am not as well read as i should be about it but it feels as if that responsibility side is the real niggling issue but also the most thorny because on some level it makes sense with social media platforms that they should be able to say we're not responsible for all the posts and if they had to be they would be absolutely and and look i think free speech is a major issue.
24:26I am worried about erosion of free speech, but, you know, I'm also not like a 100 % free speech absolutist. I think we have to balance it. And the way that I would suggest as is, again, so now we're changing topic a little bit. That's fine. Second 230 is, you know, subject to whatever legal requirements there are on, you know, abusive content, etc. If you post something on Instagram or Facebook and the company doesn't algorithmically promote it, then it's completely fine. It's there. It's my speech. If my friends find out about it, they can go and look at it. If somebody stumbles on it, that's fine.
25:08But algorithmic boosting is like New York Times putting you on their front page. We can't say New York Times is putting you on your front page and you can say all sorts of lies and crazy things. And that's just freedom of speech. Yeah, okay, fine. I know what you mean, though. If you have a more preferred newspaper, I'll use that example. No, no, no, but I know what you mean. And it seems like the problem that you're saying is it isn't 230 itself. It's the fact that the algorithms boost these particular things. That's why I'm saying 230 was fine for the age it was written where nobody could have understood the onslaught of algorithmic boosting promotion and manipulation that would come.
25:48And it feels like it's an incentive problem. It's almost that platforms should either move away from the algorithm model. Because the amendment section 230 that just says it should go away kind of doesn't sit right with me. I don't think you should. It would make platforms like WordPress impossible to use or like blogging platforms. but the idea of what they promote being more intentional. Absolutely. That I actually really like. This rule that I suggested completely protects WordPress. WordPress doesn't promote. Right. So this sort of reformed 230 is completely fine in that respect. So as far as this 50 % tax, do we have any kind of historical precedence for something like this being done?
26:29We do not. And that's why, you know, am I sure 50 % is the right level? Absolutely not. perhaps 40%, perhaps 30%. I think 50 % is great. Thank you, Ed. Well, because the thing is, the way I look at it is, these companies are so adept at avoiding responsibility, and they're so unwilling to change their ways, and so unwilling to be responsible with what they're doing, that it needs to be like this. And I'm sure that if this actually got anywhere near a government, they would have the world's biggest tantrum. But I feel like we need stuff like this. It needs to be a shock to the system, absolutely.
27:09And I think that, well, actually, maybe that's the question. How practical would this be to actually implement? Well, it depends on what you mean by that. Well, I mean, how hard would it be to get this actually into existence with a government able to levy that tax? Well, it would be extremely hard because of the lobbying, as you pointed out. But if there was agreement, if the Chinese government wanted to do it, They could do it overnight. It's all out there. The judicial ad revenue is there. It's measured. And the flat tax is very easy to implement. You could do it at source when advertisers, companies pay for advertising.
27:55You could do it in many different ways. So it's very easy. And it's a version of a variety of VAT-like ad volorem taxes. we have them in under much more complicated situations when there is much lower quality data about what's going on you know many middle income countries have a very complex sales tax or a vat tax yeah and it almost feels that you could have a little fun with it as well maybe you could do this 50 tax and feed it directly into some sort of national venture fund that would end up funding the few it feels as if the as go like on a larger scale it feels like governments are just 20 years behind technology not even putting aside even section 230 it feels like we should have an epa or an fda for data it feels like we should have ways of actually we don't know how these algorithms work and it just feels a little crazy to me yeah absolutely but the way i would say it is i'm not sure that i would say they are 20 years behind in terms of knowledge i actually oh not knowledge just legislation legislation yeah so like a completely different but related topic is we actually need an infrastructure for data markets right so you know i think everybody says data is going to be one of the most important factors of production for the future right more important than land imagine that i told you that today, land that is still pretty relevant for many businesses, it's up for grabs.
29:31You can just go and get whatever piece of land you want, and you don't have to pay for it. You know, that tragedy of the commons is well understood from history. It will be disastrous. Yeah, it's just the Wild West. Yeah, it's Wild West. Nobody produces high-quality data. Nobody gets compensated for the data that they have. And it encourages, you know, the monetization, that model that we talked about where you actually sweep people's data without their permission or without their understanding and you try to monetize it via digital ads.
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30:59Anything with cancer, you just think death sentence. And the only thing I could think about was, who's going to take care of my family? You have to go out there and build your support system. You got to build your team. In this episode, we'll explore the science behind detection, along with the practical steps men can take to protect their health. Listen to Health Discovered on America's number one podcast network, iHeart. Open your free iHeart app, search Health Discovered, and start listening.
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33:30So a complementary thing is we think about how is it that we can have a system where data producers are encouraged to produce higher quality data so that perhaps next version of a large language model learns not from Reddit, but learns from high quality domain relevant expertise. I think in that case, I'm not sure I agree just because large language models getting higher quality data is a pro. Like how you build them, just higher quality data would just mean they still need more. but i get what you mean that if these companies were incentivized to actually have good data and provide good services with the data that would be better because that's the thing i'm not i don't love digital targeting i don't love any of it but man if they have all this data why are all their services so impersonal they don't feel like they're for us and why does microsoft word always crash yes i know that one that one's it doesn't matter they have the dot doc and dot doc x model They have a tiny little kind of monopoly now, though they were very sense.
34:37Just actions have to change. Let me actually push back a little bit on generative AI. Okay. Because I think your statement makes sense if you buy in that generative AI is most productively developed in the form of general-purpose human-like chatbots. Oh, okay. They will need a huge amount of data because next word prediction is very, very inefficient, and you need to imitate humans in a variety of circumstances. But imagine that we use generative AI in a very domain-specific way. I want to know what drug creates what side effects in conjunction with other drugs. For that, I don't need my generative AI tool to communicate with me in human-like fashion or write Shakespearean sonnets.
35:32I just need some very specific domain expertise, but that high-quality data is actually not out there. And I fully agree with that. And smaller language models, focused language models, those make sense. But I think we are actually agreeing because this is an incentive problem. The reason OpenAI isn't really focused on that is because it doesn't make that much money. Well, OpenAI itself is not making a lot of money. They're not making money. They're losing a lot. I think they are not focused on that because, A, if you want to get big very, very fast and collect a lot of data, domain-specific models are not going to work.
36:09So creating hype around something that sounds very intelligent is a much better tool for doing that. And second, I think the industry is still, in an unhealthy way, in my opinion, preoccupied with artificial general intelligence. Right. Human-like intelligence, even if that's not what we need, even if that's not what's feasible, even if that's got a lot of downsides. So that's why they don't, in my opinion, pay sufficient attention to these domain-specific expertise models. So for you, I actually agree, but also then that is an economics problem. That is a, these companies are incentivized to grow at all costs to get as big as possible.
36:51Is what you're suggesting that they shouldn't? It is not just an economics problem, but it has an important economic leg. If we did not have venture capital be so important, this model would not have gotten off the ground. So how do we push back on the VC model? How do we actually make technology work without that model? because i agree it's the growth at all costs build as big as possible then ipo and everyone gets rich other than the user well what are the alternatives i don't know i mean i am not so much of an interventionist that i'm going to say you know you should tax vc as well but i think one thing that encourages the vc grow at all cost model is that we don't have any antitrust right if there was very strong antitrust legislation and implementation then becoming so big wouldn't be so attractive and you wouldn't be able to acquire all your competitors in the process as well which is a very important part of this get very big very quick so i think our big failure of you know upholding existing antitrust laws and introducing new antitrust laws appropriate for the digital age, I think has contributed to this problem.
38:13Is there a way of incentivizing VCs? So actually, this is the final question, because you might actually have an answer here. How do we incentivize venture capital and the startup industry to start investing at the earlier stage? Because a big fund just gave back a chunk of their fund because they were not finding as many opportunities in the late stage. and most of the money goes into that late stage. How do we incentivize that? That's a much harder problem because even well-qualified VCs are not going to have an easy time recognizing a very promising product when it's in the garage stage. Right.
38:56But, and this brings another set of issues, The fact that we tax capital so lightly contributes to this. Again, we're subsidizing VCs because if you make your money via VCs as sort of investment on your capital, you pay very little tax. You know, if you are a tech billionaire, I won't name names, you don't even pay yourself a salary. you keep on borrowing money from venture capitals or other specialized financial vehicles and you pay yourself out of that everything is capital income you pay minimal taxes so our tax system already a big contributor to inequality actually also distorts the digital landscape so one simple thing again which is probably even less likely to be implemented in our current polarized environment is let's tax capital and labor at a flat rate the same, or you can act whatever you want, but you don't distinguish capital and labor income.
40:04If you're going to tax labor income at 30%, tax capital at 30%. I agree on that one. It just feels like it would be great if there was a way of just almost, because you're talking a lot about taxation and such, and I agree that we need those controls, but is there a way to incentivize them to put more money earlier, make more risky bets. I'm not saying a deduction because that would be crazy, but it feels like that would also solve, in part, in concert with these taxes, a way of getting that money into the early ecosystem. There may be, but I don't know exactly. We should think more about it. But there is an alternative solution.
40:44Yet another policy proposal is we fund a federal agency on AI, which is tasked both by communicating and developing best standards on things like privacy data, you know, AI standards, security, safety, but also has deep enough pockets that it can play that incubator role for especially for technologies that are deemed to be socially beneficial. So if we have technologies that actually protect users' privacy and enable users to make better decisions, that's the kind of thing that the government should put money in early on. Some of it will go to waste, some of it will go bankrupt, but if a few of them are successful, that's great.
41:21And if the alternative is that the VCs are going to develop the technologies that are most manipulative, there is even more reason for putting this money. Theron, thank you so much for joining me again. It's been such a pleasure. Of course, this was my pleasure. Thank you for being interested in these issues and for having such a great conversation. Thanks so much.
41:49Thank you for listening to Better Offline. The editor and composer of the Better Offline theme song is Matt Ossowski. You can check out more of his music and audio projects at mattosowski.com. M-A-T-T-O-S-O-W-S-K-I.com. You can email me at ez at betteroffline.com or visit betteroffline.com to find more podcast links and, of course, my newsletter. I also really recommend you go to chat.wheresyoured.at to visit the Discord and go to r slash betteroffline to check out our Reddit. Thank you so much for listening. Better Offline is a production of Cool Zone Media. For more from Cool Zone Media, visit our website, coolzonemedia.com, or check us out on the iHeartRadio app, Apple Podcasts, or wherever you get your podcasts.
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From the publisher
In this episode, Ed Zitron is joined by Daron Acemoglu, MIT Economist and recent winner of the Nobel Prize in Economics, to talk about his daring - and likely effective - plan to tax all digital advertising revenue over $500m at 50% as well as how we might adjust incentives to bring big tech under control.
PAPER: https://shapingwork.mit.edu/research/the-urgent-need-to-tax-digital-advertising/
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