cryptologist Interview with a decentralized AI expert Janet Adams I am the COO of Singularity NET.
1\. ASI Alliance just announced ASI Cloud. Can you explain what this is, how it differs from centralized AI cloud products, and what problems it solves for businesses and developers?
ASI Cloud is a permissionless AI cloud, not another walled garden. This gives developers instant, wallet-based access to enterprise-grade GPUs and open-source models at a transparent pay-per-token price. No lock-in, fiat-only, or KYC walls, just a scalable AI infrastructure designed for both Web3 builders and enterprises.
2\. We also mentioned two upcoming releases, ASI Chain and ASI Create. Can you give us an exclusive preview of what they are designed to do and how they fit into the broader vision of the ASI ecosystem?
ASI Chain anchors AI workloads directly to smart contracts, making computing verifiable and programmable. ASI Create is a builder layer, a tool for designing, fine-tuning, and deploying AI agents with encrypted knowledge graphs, multimodality, and full ownership. Combined with ASI Cloud, they form a stack that makes decentralized AI easy to use, reliable, and unstoppable.
3\. How do you think decentralized AI will change the way businesses operate over the next five years, especially compared to today’s centralized AI environment?
Currently, companies rent AI from hyperscalers with opaque pricing and vendor lock-in. Within five years, decentralized AI will move closer to an open market, with verifiable computing, predictable costs, and AI agents that companies can actually own. Move AI from a product that users consume to an ecosystem that they co-create.
4\. You are a strong supporter of ethical AI. What mechanisms and principles should guide decentralized AI networks to ensure they remain fair, transparent, and beneficial to society?
Decentralized AI must be governed by pricing transparency, computational verifiability, and open access to models. This mechanism is a cryptographic guarantee, not just a corporate promise. Ethics in AI is an architecture, not a white paper.
5\. Having led regulation in 60 countries at HSBC, how does your financial services and regulatory experience shape your perspective on decentralized AI adoption and compliance?
Having worked across 60 jurisdictions, I believe decentralization is a compliance benefit. Distributed infrastructure allows transparency, auditability, and data sovereignty to be built into the design. Rather than shoehorning AI into outdated regulatory molds, we are building an AI cloud that regulators can actually trust.
6\. Can you give me a concrete example of how AI on a decentralized infrastructure can address real-world business challenges better than a centralized model?
Startups can run GPUs by the hour and pay with stablecoins, eliminating the need to spend months negotiating contracts with hyperscalers. Companies can benchmark multiple open source LLMs with complete cost and performance visibility. Decentralized AI reduces friction where centralized clouds create bottlenecks.
7\. Looking ahead, what role do you think the ASI Alliance will play in the global AI race, and how do you think initiatives like ASI Cloud, Chain, Create will accelerate the path to artificial superintelligence?
AI races don’t have to be winner-take-all. The ASI Alliance is building the connective tissue of Cloud for Compute, Chain for Verifiable Execution, and Create for Agent Design. Together, they will accelerate the path to an artificial superintelligence that is open, auditable, and aligned with humanity’s interests.
