After the Like Button: The New Economics of Getting (and Keeping) Someone's Attention

Somewhere around 2022, a quiet but significant thing happened: people started talking openly about being tired. Not sleep-deprived tired. Algorithmically tired. Scroll-fatigued. Engagement-exhausted.

The platforms noticed. The creators noticed. And a growing constellation of builders, economists, and digital culture theorists started asking a question that would have sounded almost naive five years earlier: what if the entire model was wrong?

The Machine That Ate Our Days

To understand where we're going, it helps to remember how we got here.

The attention economy — the idea that human focus is a finite resource to be captured, packaged, and sold to advertisers — didn't emerge from some evil mastermind's blueprint. It evolved, organically and then aggressively, from a fairly simple insight: if you could keep people on your platform longer, you could charge advertisers more money.

Every design decision flowed from that logic. The infinite scroll. The notification badge. The algorithmically optimized feed that learned, with uncomfortable precision, exactly which emotional triggers would make you keep watching. Engagement metrics became the north star — not because anyone sat down and decided that was the ideal outcome for human flourishing, but because engagement metrics were what you could measure, optimize, and monetize.

The result? Platforms that are extraordinarily good at capturing attention and extraordinarily indifferent to what that attention actually produces for the person giving it.

"We built a machine for manufacturing anxiety and calling it connection," says one product designer who spent years at a major social platform before leaving to work on decentralized social infrastructure. "The engagement numbers looked great. Everything else looked terrible."

The Cracks Are Showing Everywhere

The fractures in the attention economy aren't subtle anymore. Ad revenue on legacy platforms is increasingly volatile. Creator burnout is endemic — a 2023 survey found that a majority of full-time content creators reported unsustainable pressure to produce at algorithmic pace. Younger users in the US are fragmenting across platforms faster than any single company can follow them.

Meanwhile, the cultural conversation has shifted. "Chronological feed" became a rallying cry. People started paying for RSS readers, newsletters, and podcast subscriptions specifically to escape the algorithm. The fact that a plain-text email newsletter became one of the dominant media formats of the early 2020s is, if you think about it, a pretty loud vote of no confidence in the platform model.

But newsletters are just the beginning. The more interesting disruption is happening at the infrastructure level.

Token Communities and the Ownership Shift

One of the more genuinely radical experiments of the last few years — buried under a lot of crypto hype that obscured the actual signal — was the emergence of token-gated communities.

The core idea: instead of a creator building an audience on a platform they don't own, the creator and their community share a stake in the thing they're building together. Holders of a community token aren't just fans; they're participants with real skin in the game. When the community grows in value, everyone grows with it.

Projects like Friend.tech (chaotic and volatile as it was) and more durable experiments through platforms like Zora and Mirror pointed toward something real: the possibility of communities where the economic relationship between creator and audience is explicit, transparent, and mutual rather than mediated by a platform extracting value from both sides.

This model has genuine growing pains — token speculation creates perverse incentives, governance is hard, and the onboarding friction is still significant for most American users who've never touched a crypto wallet. But the underlying logic is sound, and the execution is improving.

Direct Patronage, Supercharged

While the token-native crowd has been experimenting with ownership models, a parallel evolution has been happening in the more familiar world of direct patronage.

Substack, Patreon, and their successors have already demonstrated that a meaningful portion of audiences will pay directly for content they value, bypassing the ad-supported model entirely. But what's coming next is considerably more sophisticated.

AI is starting to enable something that wasn't previously possible at scale: genuine personalization of the creator-audience relationship. Imagine a creator whose AI can maintain substantive, contextually aware conversations with thousands of individual supporters — answering questions, generating personalized content variations, remembering your history with their work. The creator's presence, amplified without being diluted.

Several startups in the US are already building in this direction, betting that the future of creator monetization isn't about reaching the most people but about deepening relationships with the right people.

Decentralized Social and the Protocol Wars

If you've been paying attention to the technical side of social media over the past couple of years, you've watched something genuinely interesting unfold: the rise of the fediverse and ActivityPub-based platforms like Mastodon, Pixelfed, and — most recently and most dramatically — Bluesky with its AT Protocol.

These aren't just alternative apps. They're alternative architectures. The idea is that your social graph, your identity, and your content exist on open protocols that no single company controls. You can move between apps without losing your network. No platform can unilaterally change the rules on you.

The engagement-metric obsession doesn't disappear overnight in these environments, but the incentive structure is fundamentally different. When the platform can't hold your social graph hostage, it has to compete on genuine value rather than manufactured lock-in. That changes what gets built.

What Digital Culture Looks Like When Metrics Aren't the Point

Here's the part that's hardest to articulate but maybe most important: what actually changes about online culture when engagement stops being the ultimate currency?

For one thing, time horizons shift. Algorithmic platforms reward content optimized for immediate emotional reaction — outrage, awe, anxiety. Patronage models and token communities reward sustained trust-building over time. The creator who's been consistently valuable to you for three years is worth more in a relationship-based model than the one who went viral last Tuesday.

For another, the nature of what gets made changes. When your income depends on a community that actually knows you rather than an algorithm that's indifferent to you, you make different creative choices. Niche, deep, specific, weird — these become advantages rather than liabilities.

And the audience experience changes too. Choosing to support something directly, to be part of a community rather than a demographic, to have some stake in what you're consuming — that's a qualitatively different relationship with media than passive scrolling.

The Transition Is Messy. Do It Anyway.

None of this is clean or inevitable. The old attention economy still commands enormous resources and isn't going gently. Most American internet users still spend the bulk of their online time on platforms built around the old model. The alternatives are fragmented, technically demanding, and often economically unproven.

But the direction of travel is clear. The builders are moving. The early adopters are moving. And the economic logic of the attention economy — which always depended on users not having better options — is eroding with every new tool that gives people more control over their own digital experience.

The like button isn't going to disappear tomorrow. But its days as the fundamental unit of value in digital culture? Those are genuinely numbered.

What comes next is messier, more complex, and considerably more interesting. Which, honestly, sounds about right.