21 Lessons for the 21st Century

The race to obtain the data is already on, headed by data-giants such as Google, Facebook, Baidu and Tencent. So far, many of these giants seem to have adopted the business model of ‘attention merchants’.2 They capture our attention by providing us with free information, services and entertainment, and they then resell our attention to advertisers. Yet the data-giants probably aim far higher than any previous attention merchant. Their true business isn’t to sell advertisements at all. Rather, by capturing our attention they manage to accumulate immense amounts of data about us, which is worth more than any advertising revenue. We aren’t their customers – we are their product.

In the medium term, this data hoard opens a path to a radically different business model whose first victim will be the advertising industry itself. The new model is based on transferring authority from humans to algorithms, including the authority to choose and buy things. Once algorithms choose and buy things for us, the traditional advertising industry will go bust. Consider Google. Google wants to reach a point where we can ask it anything, and get the best answer in the world. What will happen once we can ask Google, ‘Hi Google, based on everything you know about cars, and based on everything you know about me (including my needs, my habits, my views on global warming, and even my opinions about Middle Eastern politics) – what is the best car for me?’ If Google can give us a good answer to that, and if we learn by experience to trust Google’s wisdom instead of our own easily manipulated feelings, what could possibly be the use of car advertisements?3

In the longer term, by bringing together enough data and enough computing power, the data-giants could hack the deepest secrets of life, and then use this knowledge not just to make choices for us or manipulate us, but also to re-engineer organic life and to create inorganic life forms. Selling advertisements may be necessary to sustain the giants in the short term, but they often evaluate apps, products and companies according to the data they harvest rather than according to the money they generate. A popular app may lack a business model and may even lose money in the short term, but as long as it sucks data, it could be worth billions.4 Even if you don’t know how to cash in on the data today, it is worth having it because it might hold the key to controlling and shaping life in the future. I don’t know for certain that the data-giants explicitly think about it in such terms, but their actions indicate that they value the accumulation of data more than mere dollars and cents.

Ordinary humans will find it very difficult to resist this process. At present, people are happy to give away their most valuable asset – their personal data – in exchange for free email services and funny cat videos. It is a bit like African and Native American tribes who unwittingly sold entire countries to European imperialists in exchange for colourful beads and cheap trinkets. If, later on, ordinary people decide to try and block the flow of data, they might find it increasingly difficult, especially as they might come to rely on the network for all their decisions, and even for their healthcare and physical survival.

Humans and machines might merge so completely that humans will not be able to survive at all if they are disconnected from the network. They will be connected from the womb, and if later in life you choose to disconnect, insurance agencies might refuse to insure you, employers might refuse to employ you, and healthcare services might refuse to take care of you. In the big battle between health and privacy, health is likely to win hands down.

As more and more data flows from your body and brain to the smart machines via the biometric sensors, it will become easy for corporations and government agencies to know you, manipulate you, and make decisions on your behalf. Even more importantly, they could decipher the deep mechanisms of all bodies and brains, and thereby gain the power to engineer life. If we want to prevent a small elite from monopolising such godlike powers, and if we want to prevent humankind from splitting into biological castes, the key question is: who owns the data? Does the data about my DNA, my brain and my life belong to me, to the government, to a corporation, or to the human collective?

Mandating governments to nationalise the data will probably curb the power of big corporations, but it may also result in creepy digital dictatorships. Politicians are a bit like musicians, and the instrument they play on is the human emotional and biochemical system. They give a speech – and there is a wave of fear in the country. They tweet – and there is an explosion of hatred. I don’t think we should give these musicians a more sophisticated instrument to play on. Once politicians can press our emotional buttons directly, generating anxiety, hatred, joy and boredom at will, politics will become a mere emotional circus. As much as we should fear the power of big corporations, history suggests that we are not necessarily better off in the hands of over-mighty governments. As of March 2018, I would prefer to give my data to Mark Zuckerberg than to Vladimir Putin (though the Cambridge Analytica scandal revealed that perhaps there isn’t much of a choice here, as any data entrusted to Zuckerberg may well find its way to Putin).

Private ownership of one’s own data may sound more attractive than either of these options, but it is unclear what it actually means. We have had thousands of years of experience in regulating the ownership of land. We know how to build a fence around a field, place a guard at the gate, and control who can go in. Over the past two centuries we have become extremely sophisticated in regulating the ownership of industry – thus today I can own a piece of General Motors and a bit of Toyota by buying their shares. But we don’t have much experience in regulating the ownership of data, which is inherently a far more difficult task, because unlike land and machines, data is everywhere and nowhere at the same time, it can move at the speed of light, and you can create as many copies of it as you want.

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