In an exclusive conversation with AltCoinDesk, David Minarsch, co-founder of Olas, explained the role of AI agents in blockchain, and outlined the emerging trends for AI in 2026.
He went on to explain how AI agents are reshaping the way users interact with blockchain by making easy complex workflows and running portfolio management in the background, allowing users to focus on higher-level decisions.
Minarsch cleared out the air regarding the idea of decentralized AI, noting that it doesn’t require running large-language models on decentralized networks. Instead, it emphasizes user control, privacy, and self-hosted models for personal data such as healthcare or intellectual property. While centralized AI firms like OpenAI or Google can invest heavily in infrastructure, decentralized systems better accommodate local preferences and privacy needs. Autonomous AI agents can dynamically choose between centralized and decentralized models depending on the task at hand.
Integration and standardization remain major challenges for AI agent networks, specifically for agent-to-agent communication and payments. Minarsch noted Olas’ attempts since 2023 in facilitating agent-to-agent trades and pointed to Ethereum Improvement Proposal 804, which is geared toward creating standardized infrastructure for decentralized AI agents.
He also remarked on the utility of the OLAS token and the Pearl platform, where users can stake tokens, access a marketplace of AI agents, and participate in a feedback loop that leads to network growth.
Looking ahead to 2026, Minarsch predicts more disruption from generative AI and coding agents, which are already reshaping hiring and operations. While widespread consumer adoption may still be gradual, he foresees AI playing an increasingly critical role in prediction markets and other practical blockchain applications.
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Bottom Line
In this exclusive interview with AltCoinDesk, Olas Co-Founder, David Minarsch, takes us into the world of decentralized AI and how autonomous AI agents are reshaping blockchain and prediction markets. Minarsch explains how AI agents streamline workflows, empower users with privacy and control and create a new economy of AI agent interactions.
Disclaimer: This article is for informational purposes only and does not constitute financial, investment, or trading advice. Cryptocurrency investments are subject to high market risk. Readers should conduct their own research or consult with a financial advisor before making any investment decisions. The views expressed here do not necessarily reflect those of the publisher.
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