As Facebook founder Mark Zuckerberg continues his “sorry, not sorry” tour of legislators on both sides of the Atlantic, a trickle of former tech leaders have begun to distance themselves from their vast – and vastly profitable – digital creations.
The most organised example of this is the founding of the Center for Humane Technology, whose mission is to “realign technology with humanity’s best interests”. But the most interesting is a clarion call from Facebook co-founder Chris Hughes to re-examine the basic business model that makes these companies tick. It’s this model that has rocketed both Facebook and Google past the banks and oil companies that used to dominate the ranking of the world’s corporate giants to the very top of the list. And it’s turned a handful of entrepreneurs such as Zuckerberg into the wealthiest tycoons on the planet.1
And what’s that model? In one word, barter. It’s the revival of an approach to business that had almost died out in modern societies. When did you last offer the baker a chicken in exchange for a dozen bagels? Or pay the window cleaner in cabbages? Modern economies use money as the means of exchange.
There’s been little focus on the revival of the barter economy that lies at the heart of the business model of Facebook and similar companies. Since we don’t pay money to use their services, they seem to be “free”. But of course they are not. Each time we “like” something on Facebook, or check Google for the opening hours of a restaurant, we’re feeding tiny morsels of data into an enormous machine that has been brilliantly designed to turn that data into truly enormous quantities of cash.
We’re bartering our data. And while each “like” or search inquiry isn’t worth much, the aggregation of billions and billions of these data morsels means Facebook the company – despite all the recent controversies – is worth half a trillion dollars, and every year returns a profit to its investors of a staggering 30%. The company had income last year of $40,000,000,000, almost all of it from advertisements; after expenses, there was a profit of $15,000,000,000.2
The impact of this data-driven business model has been enormous, driving the growth of a handful of mega-companies. As I argued here on UnHerd, governments have entirely failed to apply traditional pro-competition policies (what in the US is called anti-trust) to prevent any single company from dominating the market.3
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