➥ The AI assetization stack I’m watching right now: @ownaiNetwork On the table: → An AI‑automated asset marketplace where machines think, trade, and compound value → Fractional ownership across live revenue classes: Own V (autonomous vehicles today), with Own R (robotics) and Own M (mobility) in the pipeline → Unified ops: stablecoin distributions, performance telemetry, and governance via $OAN Trust as infra: ▸ KYC/AML rails, jurisdiction filters, verifiable cashflow oracles ▸ Institutional‑grade compliance without sacrificing open participation I break it down into four primitives ↓ ✦ Asset onboarding: KYB, risk scoring, telemetry feeds ✦ Tokenized cashflow: programmatic payouts, escrow, recourse ✦ Compliance gating: eligibility, audit trails ✦ Community direction: stake, vote, upgrade pathways Yo, there’re risks ngl • Hardware downtime and field ops • Fragmented regs can slow geographic rollout • Data integrity for rev reporting needs robust attestations I also like the creator x research loop with @KaitoAI to surface real operators over hype