The platform pattern

Every widely-adopted computing platform has spawned a creator economy once the installed base crosses a threshold. PC software in the 1980s. iOS apps after 2008. Android after 2009. Roblox user-generated worlds. Unreal / Unity asset stores. Each time the pattern has been the same: developers ship capability to end users, marketplaces handle discovery and payment, the platform takes a cut, and the installed base benefits from an explosion of utility that no single vendor could have built.

Why robots are next

Three things are happening at once. First, humanoid and quadruped platforms from several vendors (Figure, 1X, Unitree, Boston Dynamics, Apptronik, Tesla Optimus) have crossed the demonstration threshold and are heading toward consumer price points through 2027-2030. Second, the underlying ML stack (foundation models for robotics, data-efficient imitation learning) makes novel skills dramatically easier to build than they were five years ago. Third, the distribution story is maturing — robot manufacturers want a third-party ecosystem to reduce their burden of shipping every capability themselves.

The lesson from the App Store

Apple shipped iOS without the App Store. The App Store arrived in July 2008, a year after the first iPhone. In its first year it processed $1B+ in developer revenue. By 2023 cumulative developer payouts had crossed $320B (Apple, January 2024 disclosure). The lesson is that platform owners capture most of the upside, but third-party developers capture enough to make ecosystems explode.

The lesson from Roblox

Roblox’s user-generated economy produced $623M in creator payouts in 2023 (Roblox 2023 earnings), with thousands of creators earning meaningful income. The lesson: lower the barrier to publish and the long tail of creators produces enormous aggregate value.

The lesson from Unity and Unreal asset stores

Not every creator economy is about end-user apps. The Unity Asset Store and Unreal Marketplace serve B2B — developers selling to other developers. Robot-skill economies will have both shapes: consumer-facing skills and B2B capability packs that other skill developers depend on.

Where the robot-skill market is different

Three differences from prior platforms. First, skills act in the physical world — the stakes on a bad skill are higher than on a bad app. Trust infrastructure is more load-bearing. Second, hardware fragmentation is real — a skill for a Figure 02 may not work on a 1X Neo. Compatibility metadata matters. Third, safety review is non-optional — we borrow more from the medical-device model than from the App Store for anything that operates near humans.

What the creator pool looks like

Our expected creator mix: hobbyist robotics researchers, university labs, commercial vendors, small integrators, and (later) general-purpose developers once the SDK abstracts the robotics complexity enough. We are deliberately starting with a revenue share high enough (70% to creators, 80% for founding-wave) to make it worth their time.

What the buyer pool looks like

Early adopters: research labs, prosumer hobbyists, and small businesses with specific repetitive tasks (warehouse sorting, yard maintenance, pet care). By 2028-2030 we expect this to widen to consumer households as price points drop.

The market size question

The range of credible forecasts is wide. Goldman Sachs (2024) estimated a $38B humanoid market by 2035. Bank of America (2024) projected 3 billion humanoid robots by 2060. Even with heavy discounts on those projections, the skill market is non-trivial. We are not forecasting a specific number; we are observing that the category is big enough that the marketplace question matters.

How GeraSkills fits the Gera stack

Skills can call into the rest of the Gera portfolio — GeraMarket for restocking, GeraClinic for telehealth escalation, GeraCash for payments. Future integration with GeraNexus for transactional capability and GeraMind for user- context-scoped preferences.

The Coming Economy of Robot Capabilities