Regulating the internet giants The world’s most valuable resource is no longer oil, but data

Authored by economist.com and submitted by speckz

A NEW commodity spawns a lucrative, fast-growing industry, prompting antitrust regulators to step in to restrain those who control its flow. A century ago, the resource in question was oil. Now similar concerns are being raised by the giants that deal in data, the oil of the digital era. These titans—Alphabet (Google’s parent company), Amazon, Apple, Facebook and Microsoft—look unstoppable. They are the five most valuable listed firms in the world. Their profits are surging: they collectively racked up over $25bn in net profit in the first quarter of 2017. Amazon captures half of all dollars spent online in America. Google and Facebook accounted for almost all the revenue growth in digital advertising in America last year.

Such dominance has prompted calls for the tech giants to be broken up, as Standard Oil was in the early 20th century. This newspaper has argued against such drastic action in the past. Size alone is not a crime. The giants’ success has benefited consumers. Few want to live without Google’s search engine, Amazon’s one-day delivery or Facebook’s newsfeed. Nor do these firms raise the alarm when standard antitrust tests are applied. Far from gouging consumers, many of their services are free (users pay, in effect, by handing over yet more data). Take account of offline rivals, and their market shares look less worrying. And the emergence of upstarts like Snapchat suggests that new entrants can still make waves.

But there is cause for concern. Internet companies’ control of data gives them enormous power. Old ways of thinking about competition, devised in the era of oil, look outdated in what has come to be called the “data economy” (see Briefing ). A new approach is needed.

Quantity has a quality all its own

What has changed? Smartphones and the internet have made data abundant, ubiquitous and far more valuable. Whether you are going for a run, watching TV or even just sitting in traffic, virtually every activity creates a digital trace—more raw material for the data distilleries. As devices from watches to cars connect to the internet, the volume is increasing: some estimate that a self-driving car will generate 100 gigabytes per second. Meanwhile, artificial-intelligence (AI) techniques such as machine learning extract more value from data. Algorithms can predict when a customer is ready to buy, a jet-engine needs servicing or a person is at risk of a disease. Industrial giants such as GE and Siemens now sell themselves as data firms.

This abundance of data changes the nature of competition. Technology giants have always benefited from network effects: the more users Facebook signs up, the more attractive signing up becomes for others. With data there are extra network effects. By collecting more data, a firm has more scope to improve its products, which attracts more users, generating even more data, and so on. The more data Tesla gathers from its self-driving cars, the better it can make them at driving themselves—part of the reason the firm, which sold only 25,000 cars in the first quarter, is now worth more than GM, which sold 2.3m. Vast pools of data can thus act as protective moats.

Access to data also protects companies from rivals in another way. The case for being sanguine about competition in the tech industry rests on the potential for incumbents to be blindsided by a startup in a garage or an unexpected technological shift. But both are less likely in the data age. The giants’ surveillance systems span the entire economy: Google can see what people search for, Facebook what they share, Amazon what they buy. They own app stores and operating systems, and rent out computing power to startups. They have a “God’s eye view” of activities in their own markets and beyond. They can see when a new product or service gains traction, allowing them to copy it or simply buy the upstart before it becomes too great a threat. Many think Facebook’s $22bn purchase in 2014 of WhatsApp, a messaging app with fewer than 60 employees, falls into this category of “shoot-out acquisitions” that eliminate potential rivals. By providing barriers to entry and early-warning systems, data can stifle competition.

The nature of data makes the antitrust remedies of the past less useful. Breaking up a firm like Google into five Googlets would not stop network effects from reasserting themselves: in time, one of them would become dominant again. A radical rethink is required—and as the outlines of a new approach start to become apparent, two ideas stand out.

The first is that antitrust authorities need to move from the industrial era into the 21st century. When considering a merger, for example, they have traditionally used size to determine when to intervene. They now need to take into account the extent of firms’ data assets when assessing the impact of deals. The purchase price could also be a signal that an incumbent is buying a nascent threat. On these measures, Facebook’s willingness to pay so much for WhatsApp, which had no revenue to speak of, would have raised red flags. Trustbusters must also become more data-savvy in their analysis of market dynamics, for example by using simulations to hunt for algorithms colluding over prices or to determine how best to promote competition (see Free exchange ).

The second principle is to loosen the grip that providers of online services have over data and give more control to those who supply them. More transparency would help: companies could be forced to reveal to consumers what information they hold and how much money they make from it. Governments could encourage the emergence of new services by opening up more of their own data vaults or managing crucial parts of the data economy as public infrastructure, as India does with its digital-identity system, Aadhaar. They could also mandate the sharing of certain kinds of data, with users’ consent—an approach Europe is taking in financial services by requiring banks to make customers’ data accessible to third parties.

Rebooting antitrust for the information age will not be easy. It will entail new risks: more data sharing, for instance, could threaten privacy. But if governments don’t want a data economy dominated by a few giants, they will need to act soon.

Rekthor on May 8th, 2017 at 15:46 UTC »

Wow, this comments section is amazingly shitty for an article that raises such an interesting point. Which is a shame, because this is an area that IP and tech sector lawyers have been worried about and working within for years, and it's coming to the forefront. I just finished an Info Tech Law class on this, so here's some of the stuff you should know about this.

Here's the crux of it: big data. Over the last twenty years, human beings produce—frankly—a ludicrously stupid amount of data every day. Smartphones and the internet have been or are becoming adopted universally, even in the developing world, and because we've become so accustomed to free services, we have become accustomed to paying for these services with our data instead of our money: you don't pay for Facebook with your wallet, you pay for it by giving them data they can sell and use. The sheer quantity of this is absolutely staggering. Back in 2010, Google's CEO Eric Schmidt said that every two days, we create more data than every human in history did combined prior to 2003. In 1994, worldwide only about 100GB of data was being transmitted a day; in 2013, 28,000 GB of data were transmitted every second. Humanity's total stored information grows four times faster than the global economy, and the processing power of our computers grows nine times faster. Here's some more mind-blowing facts about this.

All of this leads to big data, which is not like normal statistical analysis. It's true that big data is about prediction, but it's about prediction from a different angle. Because of the absolutely stupifying depth, variety and scope of the data we as humans create, corporations from every single industry on the planet can use that data to make predictions about—very nearly literally—anything. Consumer buying habits at the grocery store; the spread of viruses based on what people are searching for (which Google did with Swine Flu); the prices of oil futures; the change in airline ticket prices (as the tiny startup Farecast did, before Microsoft bought it out for $115 million and integrated it into Bing), and almost any other field. As a result, virtually no data is useless, because almost any business can find a use for it and use the power of big data to make predictions about their customers (which can be anything from supermarkets offering sales on halal food on weekends when more Muslims are in the store, to garbage collection agencies using customers' traffic patterns to determine their most optimal route). Furthermore, because companies have this massive quantity of data, they don't need to worry about whether it's accurate anymore; quantity can compensate for quality, and you don't have to be always right all the time if you can be mostly right most of the time.

And because this big data can be applied to every industry and business on the planet, there's a gold rush to buy your data. The FTC observed nine of the biggest "data brokers" a few years ago, and said that "Just one of the data brokers studied holds information on more than 1.4 billion consumer transactions and 700 billion data elements and another adds more than 3 billion new data points to its database each month." The biggest example of this is advertisers wanting to know what you search for, and they can pay Google and Facebook to show you ads tailored to those searches. There's plenty of concerns about privacy there, but there's also the fact that these companies themselves can use the very data that they collect to potentially eliminate competitors and up-and-coming startups before they become a serious rival. As the Economist article says:

They have a “God’s eye view” of activities in their own markets and beyond. They can see when a new product or service gains traction, allowing them to copy it or simply buy the upstart before it becomes too great a threat. Many think Facebook’s $22bn purchase in 2014 of WhatsApp, a messaging app with fewer than 60 employees, falls into this category of “shoot-out acquisitions” that eliminate potential rivals. By providing barriers to entry and early-warning systems, data can stifle competition.

Thus, the article calls into question whether antitrust legislation could be of any help, ala breaking up Google the way Standard Oil was broken up for being a monopoly in 1911. I have no idea if that's at all feasible, let alone a good idea, but it's an important question to ask. Because the internet is not unlike the post-Civil War United States at the present time in terms of how regulation is implemented (if not necessarily motivated): the rules aren't clear, inconsistent based on state lines, and don't have a proper enforcement mechanism.

As a result, we see the same sorts of monopolies arise in business organization online. Like Google, Microsoft and Facebook buying up not only rising competitors, but also other services like Instagram, Songza, Oculus and LinkedIn: services with potential for expansion that they can control and/or integrate into their existing platforms. Just take a look at the mergers that Apple, Alphabet (Google's parent company, which acquires more than one company a week) and Facebook have made in the last ten years, and you'll see the rate of how quickly they snap up other companies rising and rising. It's a positive feedback cycle: they use big data as their profit centre, then also use that big data to track and buy up rising competitors, which in turn gets them more data and more profits to buy more companies. That is the point of this article.

This is a big problem, given how omnipresent the internet is in the lives of every human alive today, and it's something we should all be concerned about. We are the ones who are giving up our data willingly, and that makes up for all but 100% of these companies bottom line, so remember that we have all the power here.

TL;DR: Shit's gettin' fucked.

EDIT: More links.

Porcelo on May 8th, 2017 at 15:00 UTC »

Sneakers told us this back in 1992.

"It's all about the information!"

wihdinheimo on May 8th, 2017 at 12:31 UTC »

World's most valuable resource is people. Especially the smart ones.