TORONTO, ONTARIO — Ansell Publishing has announced the release of The AI Money Revolution: How Artificial Intelligence, Bitcoin, and Digital Assets Are Rebuilding the Global Economy, a new book by Canadian technology entrepreneur, author, and publisher Jason Ansell.
The book examines the convergence of two major technological developments: the rapid advancement of artificial intelligence and the emergence of digitally native, programmable forms of value. It considers how these technologies may change the way people, companies, software systems, and institutions participate in the global economy.
Artificial intelligence is becoming increasingly capable of performing work, analyzing information, creating products, using software tools, negotiating agreements, and coordinating complex activities. However, the financial infrastructure supporting modern commerce was designed primarily for people, businesses, banks, and governments rather than autonomous software.
The AI Money Revolution explores what could happen as machine intelligence begins interacting with Bitcoin, stablecoins, digital wallets, programmable payments, tokenized assets, and continuously operating global markets. Rather than concentrating on speculative cryptocurrency price predictions, the book examines the infrastructure, opportunities, risks, and policy questions surrounding the emerging AI money economy.
Across 33 chapters organized into eight parts, readers are introduced to autonomous AI agents and the financial systems they may require. The book considers how agents could generate income, purchase computing resources, access data, pay for digital services, coordinate with other agents, and participate in machine-to-machine commerce.
Bitcoin is examined as scarce, neutral, and digitally native money in an economy increasingly operated by software. The book considers how Bitcoin could function as a reserve or settlement network while stablecoins provide continuously available digital payment rails.
Programmable payments form another central theme. Digital value can be designed to respond to completed work, verified information, contractual conditions, usage, or predetermined events. These capabilities could support micropayments, autonomous marketplaces, machine subscriptions, digital royalties, data licensing, and agent-to-agent transactions.
The book also explores the tokenization of property, commodities, intellectual property, stocks, bonds, and other assets. As assets become digitally represented and accessible through software, artificial intelligence may be able to analyze, exchange, rebalance, and manage them across continuously operating markets.
These opportunities are accompanied by significant risks. The AI Money Revolution addresses AI-powered fraud, deepfakes, impersonation, identity, financial surveillance, privacy, unauthorized transactions, market manipulation, accountability, and concentrated economic control.
The concluding chapters offer practical steps that individuals, businesses, educators, and policymakers can take without relying on speculative predictions. These include developing AI and financial literacy, testing new systems carefully, maintaining human oversight, protecting credentials, and creating clear accountability for autonomous financial actions.
Jason Ansell is a Canadian technology entrepreneur, author, publisher, and full-stack developer with more than 25 years of experience building digital platforms and online businesses. He is the co-founder of Vector Smart Chain and the founder of Ansell Publishing. His work examines artificial intelligence, blockchain infrastructure, cryptocurrency, Web3, programmable finance, and the evolution of the digital economy.
The AI Money Revolution is available in Kindle, audiobook, paperback, and hardcover formats through Amazon. The electronic edition is also available through Google Play Books and is previewable on Google Books.
Additional information is available at:
https://theaimoneyrevolution.ca
About Ansell Publishing
Ansell Publishing is an independent Canadian publisher focused on artificial intelligence, blockchain, digital finance, emerging technology, and practical education. Its publications make complex technologies understandable while examining their economic and social implications.