Published work on blockchain, AI, privacy, and decentralized systems across leading industry publications.
Marko Stokić is a contributor to Forbes Digital Assets, where he covers the intersection of AI and blockchain, confidential computing, decentralized AI infrastructure, and the innovations shaping autonomous networks. His work demystifies complex topics at the merger of deterministic blockchains and stochastic AI models.
View Forbes ProfileIn an industry built on "don't trust, verify," why would anyone trust an AI to manage their money? A look at the AI agents earning the crypto community's trust through transparency, security, and proven returns.
A practical guide for landing six-figure jobs in AI or crypto. No ivy-league degree required. Explores engineering, marketing, and community tracks with actionable first-step tactics.
Exploring the privacy implications of AI in healthcare and how confidential computing can enable medical AI while protecting patient data and maintaining trust.
An examination of trust mechanisms for autonomous AI agents, exploring attestation, verification, and the role of blockchain in creating accountable AI systems.
Opinion piece on how privacy-enhancing technologies can enable regulatory compliance without sacrificing user privacy or decentralization principles.
AI has a trust problem that crypto could address, but their intersection introduces new challenges. Analysis of how blockchains must preserve their trustless nature.
No built-in privacy in ChatGPT or Claude? Discover emerging cryptographic fixes and practical tips to protect sensitive AI conversations.
Authored technical glossary entries for CoinMarketCap Academy
Comprehensive definition of decentralized artificial intelligence: developing and deploying AI systems in a distributed manner with data, computation, and governance spread across networks.
Technical explanation of confidential computing and Trusted Execution Environments (TEEs), covering how they enable privacy-preserving computation in blockchain systems.