The Cryptonomist Interviewed Decentralized AI expert Janet Adams Is COO of Singularitynet.
1 \. The ASI alliance has just unveiled ASI Cloud. Could you explain what it is, how it distinguishes it from centralized AI cloud offers and what problems it solves for companies and developers?
ASI Cloud is a permissionless AI cloud, not another walled garden. It gives developers immediate, wallet-based access to GPUs from Enterprise-Grade and open-source models against transparent, pay-per-token prices. No lock-ins, no Fiat-Alleen- or KYC barriers-all scalable AI infrastructure designed for both Web3 builders and companies.
2 \. You mentioned two upcoming launches: Asi Chain and Asi Create. Can you give us an exclusive preview of what they were designed for and how they fit into the wider vision of the ASI ecosystem?
ASI Chain anchores Ai -Workloads directly to smart contracts, making it calculations and programmable. ASI Create is the layer of our builder tools to design, refine and implement AI agents with encrypted knowledge graphs, multimodality and full property. Together with ASI Cloud, they form a stack that makes decentralized AI usable, reliable and unstoppable.
3 \. How do you see decentralized AI The way in which companies are active in the next five years, especially in comparison with today’s centralized AI landscape?
Nowadays, companies AI rent from hyperscalers under opaque prices and supplier lock. In five years, decentralized AI will look more like an open market: verifiable calculation, predictable costs and AI agents who can actually possess companies. It shifts AI from a product that you consume to an ecosystem that you co -create.
4 \. You are a strong supporter of ethical AI. Which mechanisms or principles must guide decentralized AI networks to ensure that they remain honest, transparent and useful for society?
Decentralized AI must be governed by transparency in prices, verifiability of calculation and open access to models. The mechanisms are cryptographic guarantees, not just business promises. Ethics in AI is not a white paper, it is an architecture.
5 \. After your regulations have led for 60 countries at HSBC, how does your financial services and regulatory experience form your perspective on decentralized AI acceptance and compliance?
After having worked 60 jurisdictions, I see decentralization as a compliance benefit. Distributed infrastructure enables us to embed transparency, auditability and data sovereignty into the design. Instead of forcing AI in outdated regulatory molds, we build AI clouds that supervisors can actually trust.
6 \. Can you share specific examples of how AI could approach a decentralized infrastructure better than centralized models than centralized models?
A startup can run GPUs per hour, pay in stablecoins and avoid burning for months to negotiate hyperscaler contracts. A company can make multiple open-source LLMS benchmarks with full visibility in costs and performance. Decentralized AI lowers friction where centralized clouds create bottlenecks.
7 \. Looking ahead, what role do you see the ASI alliance playing in the global AI race, and how will initiatives such as ASI Cloud, Chain and create the path to artificial super intelligence?
The AI race does not have to be winner-tops. ASI Alliance builds the connective tissue – Cloud for calculation, chain for verifiable execution, making agent design. Together they accelerate the path to artificial super intelligence that is open, auditable and tailored to the interests of humanity.