Well, Walmart vs. Amazon is all about big business – a platform giant (Amazon) disrupting an OldBigCo (Walmart and its kin). Over the past two decades, Amazon bumped Walmart out of the race to a trillion-dollar market cap, and the OldCo from Bentonville had to reset and play the role of the upstart. The Token Act levels the playing field, forcing both to win where it really matters: In service to the customer.
But while BigCos are sexy and well known, it’s the small and medium-sized business ecosystem that determines whether or not we have an economy of mass flourishing. So let’s explore the Token Act from the point of view of a small business startup, in this case, a new neighborhood restaurant. I briefly touched upon this idea in my set up post, Don’t Break Up The Tech Oligarchs. Force Them To Share Instead. (If you haven’t already, you might want to read that post before this one, as I lay out the framework in which this scenario would play out.) What I envision below assumes the Token Act has passed, and we’re at least a year or two into its adoption by most major data players. Here we go…
In my last post I imagined a world in which large data-driven platforms like Amazon, Google, Spotify, and Uber are compelled to share machine-readable copies of data to their users. There are literally scores, if not hundreds of wrinkles to iron out around how such a system would work, and in a future post I hope to dig into some of those questions. But for now, come with me on a journey into the future, where the wrinkles have been ironed out, and a new marketplace of personally-driven information is flourishing. We’ll return to one of the primary examples I sketched out in the aforementioned post: A battle for the allegiance – and pocketbook – of one online shopper, in this case, my wife Michelle.
It’s a crisp winter mid morning in Manhattan when the doorbell rings. Michelle looks up from her laptop, wondering who it might be. She’s not expecting any deliveries from Amazon, usually the source of such interruptions. She glances at her phone, and the Ring app (an Amazon service, naturally) shows a well dressed, smiling young woman at the door. She’s holding what looks like an elegantly wrapped gift in her hands. Now that’s unusual! Michelle checks the date – no anniversaries, no birthdays, no special occasions – so what gives?
Social conversations about difficult and complex topics have arcs – they tend to start scattered, with many threads and potential paths, then resolve over time toward consensus. This consensus differs based on groups within society – Fox News aficionados will cluster one way, NPR devotees another. Regardless of the group, such consensus then becomes presumption – and once a group of people presume, they fail to explore potentially difficult or presumably impossible alternative solutions.
This is often a good thing – an efficient way to get to an answer. But it can also mean we fail to imagine a better solution, because our own biases are obstructing a more elegant path forward.
Seven or so years ago, a famous VC penned a manifesto of sorts. Writing at a time the world was still skeptical of the dominance to which his industry has now ascended (to think, such a time existed, and so few years ago!), Marc Andreessen had a message for the doubters, the naysayers, and the Wall St. analysts who were (credibly!) claiming that his investments amounted to not much more than a bubble:
Seven years later, no one can dispute Andreessen’s prescience. The man was right: If you had purchased a basket of his favorite stocks back then – he name-checked Apple, Amazon, and Facebook directly – you’d be up at least 10X, if not more. Software, it seems, has indeed eaten the world, and those smart (and rich) enough to put money into technology, as Andreessen has been, have done very, very well for themselves.
A theme of my writing over the past ten or so years has been the role of data in society. I tend to frame that role anthropologically: How have we adapted to this new element in our society? What tools and social structures have we created in response to its emergence as a currency in our world? How have power structures shifted as a result?
Increasingly, I’ve been worrying a hypothesis: Like a city built over generations without central planning or consideration for much more than fundamental capitalistic values, we’ve architected an ecosystem around data that is not only dysfunctional, it’s possibly antithetical to the core values of democratic society. Houston, it seems, we really do have a problem.
Last Sunday was Father’s Day, and I never thought I’d say this, but I was glad to get a tie, because my wife knew I would need it (it’s been literally over a decade since I’ve worn one). Today I was called to testify before a Senate Commerce committee hearing on Facebook and the role of data in society. Apparently they’ve been reading my work and, well, that landed me in DC. My full written testimony, replete with dozens of links to my previous work and coming in at 2500 or so words, is published on Searchblog. Below is what I read into verbal testimony before the Senators got into a couple hours of questioning, which, by they way, I found to be well informed and enlightened.
God, “innovation.” First banalized by undereducated entrepreneurs in the oughts, then ground to pablum by corporate grammarians over the past decade, “innovation” — at least when applied to business — deserves an unheralded etymological death.
It’s somehow fitting that today, May 25th, marks my return to writing here on Searchblog, after a long absence driven in large part by the launch of NewCo Shift as a publication on Medium more than two years ago. Since then Medium has deprecated its support for publications (and abandoned its original advertising model), and I’ve soured even more than usual on “platforms,” whether they be well intentioned (as I believe Medium is) or indifferent toward and fundamentally bad for publishing (as I believe Facebook to be).
By creating a Data Commons, our tech giants could help save the innovation economy, and possibly our democracy
In my last column, Data, Power, and War, I argued that the four largest tech companies have cornered the market on the data, processing, and human capital required for our society to truly understand itself. And I warned that such a concentration of power is both unhealthy and dangerous. It also puts the Four on an inevitable collision course with Big Government.