Andrew Yang's Data Dividend Project would force social media companies to compensate users, but the plan underestimates difficulty of valuing data
Will Rinehart / Wired : Tweets: @willrinehart , @jrhuddles , @adalovelaceinst , @backchnnl , @jason_kint , and @bill_tribble Tweets: Will Rinehart / @willrinehart : This morning I have an op-ed in @WIRED detailing three key issues in implementing a digital dividend. As I conclude: “Digital dividends seem clever at first, but become far less appealing when thinking through implementation.” https://www.wired.com/... https://twitter.com/... Jennifer Huddleston / @jrhuddles : “Converting the implicit benefit of an online experience into an explicit cash payment is a difficult model to sustain in the real world.” @WillRinehart explaining why data dividends aren't the clear cut solution they're sometimes made out to be. https://www.wired.com/... Ada Lovelace Institute / @adalovelaceinst : As digital dividends proposals are promoted in the US, we're convening a global panel at #RightsCon to discuss different perspectives on property rights and receiving financial compensation for data. https://wired.com/... Join us on Weds 29 July. More👉 https://adalovelaceinstitute.org/ ... Backchannel / @backchnnl : He says social media companies should pay you for the data you produce. But loopholes abound, it's too expensive, and other plans like it have failed. https://www.wired.com/... Jason Kint / @jason_kint : I have lots of issues w/ @AndrewYang's soft approach to tech and red herring of a data dividend but this is wrong. Sure, it's true if you value Facebook's global audience equally but the reality is they make like 30x+ more off US users than rest of world. https://www.wired.com/... https://twitter.com/... Bill Tribble / @bill_tribble : Facebook investor @WillRinehart: “We mustn't do this because it will destroy Facebook.” Rest of world: “Good!” https://www.wired.com/...
Context & Ripple Effects
Andrew Yang's Data Dividend Project would turn what platforms treat as an implicit trade — free services for personal data — into an explicit cash payment, an idea Sen. Warner's policy paper already floated when it proposed putting a price on users' data among twenty platform fixes. Will Rinehart's Wired op-ed now argues the mechanism breaks down at implementation, naming three specific problems.
The critique lands on prepared ground: researchers who tried to place a monetary value on consumer privacy got such varying results that some concluded valuation itself is the wrong frame. Jennifer Huddleston's point that converting an implicit benefit into an explicit cash payment is 'difficult to sustain' echoes that finding.
First-order effects
- Social media companies covered by the proposal — Facebook and Google foremost among ad-data collectors — would have to attach a defensible price to each user's data, something no study has produced consistently.
- The Data Dividend Project must choose between per-user payouts, collective dividends, or opt-in markets before any compensation flows; each choice redistributes the burden differently across platforms and users.
Second-order effects
- If platforms are forced to pay for data as an input, they gain a direct incentive to collect less of it or restructure around subscriptions — mirroring how regulators pushing platforms to pay publishers for news are reshaping content economics, with leaders from Ireland to Malaysia watching the Australian and French moves.
- A working data-price signal would create a new market of intermediaries — brokers, auditors, dividend administrators — positioned between users and platforms, shifting power toward whoever sets the valuation methodology.
Third-order effects
- If valuation keeps failing as a policy instrument, the likely fallback is rights-based regulation modeled on GDPR — rules about consent and use rather than prices — meaning data-dividend proposals function less as legislation than as pressure tests revealing which levers actually work.
- The deeper structural question is whether personal data becomes a priced commodity at all: decades of businesses collecting, selling, and reusing personal data happened precisely because no price existed, and imposing one would rewrite the ad-funded business model that made Google and Facebook's targeting visible.
The trend: Policymakers are cycling through market-based fixes for platform data — pricing schemes, forced payments for inputs — and repeatedly discovering that implementation, not intent, is the binding constraint.