We are entering an era in which synthetic intelligence and robotics will become foundational to global productivity, infrastructure, and economic organization. This whitepaper introduces a startup vision for a decentralized, tokenized robotics ecosystem that uses blockchain and decentralized deliberative governance to coordinate funding, revenue-sharing, and governance across globally distributed stakeholders. By combining Web3 principles with open hardware and AI-driven robotics, this system is designed to be resilient, inclusive, and adaptable to the rapid transformations synthetic intelligence will bring.

• synthetic intelligence will accelerate innovation cycles: We need to offer something better that centralized, oligarchic capture if the exponential change to come.

• synthetic intelligence needs diverse oversight: Community governance ensures pluralistic alignment, not corporate capture.

• Robots will be everywhere: A global production system must be resilient and adaptable.

• Trust and transparency are non-negotiable: Blockchain and open design are the only viable solution if we want to avoid a dystopian future and embrace a solar future.

• Token economies enable fair distribution: Unlike centralized firms, Web3 allows for fair and automatic revenue distribution.

• Taxing robotic productivity creates sustainable social infrastructure: Robot-based taxation and birthright shares ensure equity as synthetic intelligence-driven automation scales.

The economic system is dominated by large, centralized players with proprietary systems, high entry costs, and limited modularity, concentrated in the West. These systems:

• Stifle innovation through IP hoarding.

• Are economically inaccessible to many SMEs.

• Concentrate decision-making in corporate hands, with little community input.

• Lack adaptability in the face of exponential AI progress.

As synthetic intelligence accelerates, reliance on centralized infrastructures poses systemic risks, including:

• Single points of failure.

• Misalignment with diverse human values.

• Inequitable distribution of productivity gains.

We envision a decentralized robotics ecosystem where:

• Robotic hardware, software, and firmware are open and collectively governed.

• Tokens are used for coordination: raising funds, rewarding contributions, and ensuring an Universal Basic Income.

• Smart contracts distribute revenue automatically based on contribution, and rights.

• Modular robots are produced by distributed manufacturers, not centralized factories.

• synthetic intelligence integration is aligned through transparent governance and community consensus.

Targeted applications include:

Manufacturing: Robotic arms for precision assembly, welding, and inspection in small-to-medium factories. These robots can be modular, open-source, and locally produced, reducing reliance on costly proprietary solutions.

Transportation & Logistics: Autonomous mobile robots (AMRs) and self-driving carts for indoor transport, last-mile delivery, and container port operations. A decentralized approach allows for fleets to be governed locally while benefiting from global upgrades.

Agriculture: Open-source farming robots that handle weeding, planting, harvesting, and soil monitoring. Distributed networks of agri-bots increase food sovereignty and can be adapted to local crop types and terrain.

Mining: Rugged, autonomous mining bots for exploration, extraction, and safety monitoring in hazardous environments. Tokenized ownership models allow communities or cooperatives to share profits and risks.

Service Sector: Humanoid or specialized service robots for cleaning, eldercare, customer service, and hospitality. These robots operate under shared protocols and contribute usage fees to the commons, with local actors tailoring them to cultural or linguistic needs.

• Robotic arms for SMEs.

• Autonomous transport carts.

• Decentralized farming robots.

• AI-driven inspection and sorting systems.

Our token serves several key purposes:

1. Funding: Community crowdfunding for robot development.

2. Revenue Sharing: Usage fees split among contributors (engineers, designers, operators, etc.).

3. Governance: Voting on technical standards, safety protocols, and synthetic intelligence integration.

4. Base for the URST distribution: Universal Robot Share Token.

• Resilience: Distributed manufacturing and intelligence reduce systemic risks.

• Cost Effectiveness: Eliminate middlemen and proprietary fees.

• Ethical Alignment: synthetic intelligence alignment is made participatory.

• Scalability: Globally distributed contributors scale faster than centralized firms.

We propose a modular, upgradable stack:

• Hardware: Based on open-source designs (e.g., ROS, OpenManipulator, OpenRISC).

• AI Layer: Integration with synthetic intelligence modules or open LLMs, controlled by community decisions.

• Blockchain Layer: For token logic, smart contracts, and governance.

  • Candidates:

    • zkSync or Starknet: Ethereum L2s with scalability and EVM compatibility.

    • Casper Network: Optimized for enterprise-grade smart contracts and on-chain governance.

    • Move-based chains (Aptos, Sui): Secure, modular smart contract execution for long-term evolution.

As synthetic intelligence increases the productivity of autonomous systems, robots — not humans — will become the primary generators of economic value. Continuing to tax human labor while allowing robotic labor to go untaxed is both economically irrational and ethically unjust. To maintain social cohesion and equity, robots must become units of taxation, much like land or capital.

1. Robots as Economic Agents: Each robot becomes a legal-economic unit responsible for reporting activity, paying usage taxes, and contributing to public value.

2. Robot Shares at Birth:

   • Every human is entitled to a fractional share of robotic productivity at birth.

   • A Universal Robot Share Token (URST) provides access to revenues generated by public-utility robots and voting rights over ethical and deployment decisions.

3. Public Robotic Infrastructure:

   • Essential robotic services (cleaning, transport, farming) operate as public goods.

   • Robot tax revenue funds maintenance and distributes value universally.

This model promotes fair distribution of synthetic intelligence-driven gains and creates a foundational social contract for the synthetic intelligence era.

The TAM for decentralized industrial robotics spans multiple trillion-dollar industries:

• Manufacturing Robotics: $50B+ by 2030, driven by demand from SMEs seeking flexible automation.

• Logistics & Transportation: $70B+ globally by 2030, including autonomous delivery and warehouse robotics.

• Agricultural Robotics: Expected to reach $40B+ by 2030, as global food production demands sustainable automation.

• Mining Robotics: A niche but high-value sector with a projected market of $12B+.

• Service Robots: Including hospitality, cleaning, and eldercare, this market is expected to exceed $80B by 2030.

Even capturing a fraction of these markets through open, tokenized networks would represent billions in value creation and distribution.

The ecosystem will be powered by a native token, designed for utility, governance, and value redistribution.

Token Utilities:

• Access: Required to use certain robotic services or APIs.

• Staking: Stake tokens to access governance, validate modules, or unlock higher functionality tiers.

• Rewards: Contributors to robot development, maintenance, and governance receive tokens proportionally.

Revenue Sharing:

• Robotic usage fees (e.g., per operation hour or unit task) are collected via smart contracts.

• These fees are split among:

  • Developers and engineers who designed or upgraded components.

  • Manufacturers and assemblers.

  • Node operators and infrastructure providers.

  • Treasury for reinvestment, R&D, and public goods.

  • Universal Robot Share Token holders (URST) to ensure human-level equity.

Governance:

• Deliberative Sortition based governance.

• Delegated voting or reputation-based input for less important decisions.

This model ensures long-term alignment between contributors, users, and the broader public.

Year 1 (2025)

1. Core team formation, whitepaper release, community building.

2. Prototype development of first modular robot.

Year 2 (2026) 3. Token launch (testnet), DAO framework setup. 4. Pilot deployment with partner factory.

Year 3 (2027) 5. Launch of the first commercial robot-as-a-service offerings. 6. Expansion to logistics and agriculture sectors.

Year 4 (2028) 7. First revenue-sharing payouts to developers and token holders. 8. Begin decentralized robot taxation pilot with public sector partners.

Year 5 (2029) 9. International expansion of manufacturing partnerships. 10. Integration with open-source synthetic intelligence modules for task optimization.

Year 6 (2030) 11. Launch of Universal Robot Share Token (URST) distribution system. 12. Begin public robotics infrastructure programs in select cities.

Year 7 (2031) 13. On-chain governance of robotic safety standards and synthetic intelligence behavior. 14. Inclusion of mining and high-risk task domains.

Year 8 (2032) 15. Integration with global carbon, labor, and resource traceability systems. 16. Adoption of robot-based taxation models by governments.

Year 9 (2033) 17. Global commons-based robotic network reaches operational maturity. 18. Formal inclusion in national and international economic planning.

Year 10 (2034) 19. Fully autonomous, decentralized, and self-improving robotics ecosystems. 20. New economic paradigm based on robot productivity and universal shares.

We are seeking roboticists, Web3 builders, industrial partners, and synthetic intelligence researchers to join this vision. Together, we can co-create a resilient, intelligent, and equitable robotic infrastructure — governed by the many, not the few.

NB: I know, identity is a key challenge in this future, but it is anyway and we need to solve it. I know, the pictures are a bit naive, and western centered. I accept this critic.