Don’t Ask, Don’t Tell: How Meta’s Bonus Structure Made Child Safety a Revenue Problem
(SeaPRwire) –
By: Damian Finch
Béjar’s testimony cut through the polished corporate narrative. Meta employees working on user-facing products had their compensation and performance reviews almost entirely tied to user numbers and session duration. If kids left the platform, revenue vanished. That calculation shaped everything. The company’s stance on under-13 users was what Béjar called a “don’t ask, don’t tell” policy. No one at the top pushed to verify ages. No one built enforcement mechanisms. The business model demanded engagement at any cost. Profit metrics ran in one direction. Safety considerations ran in another. They never pointed the same way.
The safety features Meta introduced were structurally incapable of working. Béjar called the “Take a Break” tool “designed to fail.” Users had to manually activate it. He noted that very few people bother turning on optional settings. He compared it to an airbag that drivers must switch on every time they enter a car. Once activated, a single tap dismissed it entirely. Meta faced no internal incentive to make safety frictionless. Friction reduces engagement. Reduced engagement means lower ad impressions. Lower ad impressions means lower revenue. The feature existed to placate regulators, not to change behavior. It was compliance theater built into the product surface.
Meta possesses one of the world’s most sophisticated infrastructures for detecting fake accounts. Béjar stated there were no goals and no metrics to identify children under 13. His own research uncovered tens of thousands of under-age users on Instagram. The company’s fake account detection machinery worked. It simply was not pointed at age verification. Video autoplay was flagged by Béjar as inherently unsafe for teenagers. Like counts, view counters, and follower metrics reward social comparison. Child development experts confirm teens are far more susceptible to these dynamics than adults. Every product feature that boosts engagement simultaneously amplifies psychological harm. The revenue machine and the safety concern sit on the same lever.
The lawsuit from California, Colorado, Kentucky, and New Jersey accuses Meta of deliberately designing addictive features for children while concealing the harms. The company faces parallel suits from twenty-five other states and a Tennessee state court action. Four of the twenty-nine original plaintiff states now stand trial in Oakland. Meta’s defense centers on its stated commitment to safety. Béjar testified that this commitment never translated into product requirements. The company argued COPPA compliance requires users to be thirteen or older. Yet Béjar found tens of thousands violating that threshold daily. The regulatory gap between stated policy and platform reality has persisted for years. State attorneys general now seek injunctions and potentially billions in damages.
The California attorney general’s office stated the primary remedy is an injunction. If Meta loses, damages could reach billions. The suit alleges systematic data collection on children under thirteen without parental consent. Meta rejected all claims. Paul Schmidt argued the company acts with responsibility and partnership. These statements face direct contradiction from internal testimony. Béjar said it was common knowledge at Meta that young children used Instagram. The company has one of the world’s best fake account detection systems. That system was never deployed for age verification. Regulatory evasion through plausible deniability served the engagement model. Every day of unenforced age checks extended the monetization window. Lock-in deepens when users form habitual dependencies around reward loops.
When the same metric that grows your revenue stream also grows your liability exposure, the platform has already crossed the point of sustainable scaling.
Author bio: Damian Finch, a growth-equity analyst tracking enterprise SaaS metrics and marketplace economics, with deep expertise in platform monetization structures and user retention dynamics across digital advertising ecosystems.