According to @LexSokolin, the machine economy is here, with AI agents poised to generate value, hold assets, make decisions, deploy capital, and build empires, setting a crypto-native roadmap for autonomous onchain activity; source: Lex Sokolin on X, Aug 16, 2025. This vision aligns with Ethereum’s Account Abstraction (EIP-4337) and token-bound accounts (EIP-6551), which enable non-human agents to custody assets and execute transactions natively on ETH; source: Ethereum Foundation, EIP-4337 documentation; Ethereum EIPs, EIP-6551. For trading, the key signals to watch are smart-account adoption, EIP-4337 transaction and gas usage, and ETH network throughput, given EIP-4337’s bundlers and paymasters reshape fee flows and wallet UX; source: Ethereum Foundation, EIP-4337 design and ecosystem documentation.

According to Lex Sokolin, AI agents that learn, earn, and invest are aligning with crypto rails that settle, verify, and secure, positioning the machine economy as an imminent growth theme for market participants. Source: Lex Sokolin on X, Aug 16, 2025. For trading, the post specifies concrete focus areas—agent monetization and investment execution on one side, and on-chain settlement, verification, and security on the other—offering a clear thematic map for AI x crypto infrastructure research. Source: Lex Sokolin on X, Aug 16, 2025. The stress on settlement, verification, and security highlights core blockchain primitives as operational prerequisites for autonomous agent activity, informing due diligence on rails that can support machine-to-machine transactions. Source: Lex Sokolin on X, Aug 16, 2025.

According to Lex Sokolin, AI agents are actively creating digital wallets and robots are being tokenized, leading to value transfers within decentralized networks. This signals that the machine-driven economy is now operational and not a future prospect. For crypto traders, these trends suggest increased demand for blockchain infrastructure and tokenization technology, potentially benefiting cryptocurrencies supporting AI and IoT applications as adoption accelerates (source: Lex Sokolin).

According to Lex Sokolin, the current financial system, internet, and crypto landscape are primarily designed for humans, content, and speculation respectively. Sokolin highlights the need for new protocols, standards, and innovative thinking to support the emerging machine economy. He confirms that this vision motivated his investment in Peaq, a platform focused on building infrastructure for machine-to-machine (M2M) economic activity. This development signals a potential shift towards utility-driven crypto protocols that can expand trading opportunities beyond human-centric speculation, introducing new long-tail assets and liquidity dynamics in the digital asset market (source: Lex Sokolin).

According to Lex Sokolin, the increasing role of AI and automation in trading and negotiations highlights the urgent need for robust security frameworks in the machine-driven economy. As machines and AI systems take on greater responsibility in executing trades and managing assets, ensuring that control mechanisms and safeguards are in place becomes critical for institutional and retail crypto market participants. The absence of clear guardrails could expose the market to heightened risks, especially as decentralized AI agents and automated trading bots proliferate. This underscores the importance of governance protocols and regulatory compliance for cryptocurrency exchanges and decentralized finance platforms to protect traders and investors. Source: Lex Sokolin

According to Lex Sokolin, the machine economy is not focused on replacing humans but rather on enabling innovative forms of value creation that were previously unattainable. Sokolin emphasizes that digital organisms can now evolve and trade in real time, with blockchains providing the necessary ownership and control infrastructure for this emerging phase. This development highlights the growing importance of decentralized networks in supporting new trading opportunities and digital asset management, which can significantly impact crypto market dynamics and investment strategies (source: Lex Sokolin).

According to Lex Sokolin, the machine economy has already arrived, with AI agents actively trading, bots generating earnings, and algorithms autonomously spending across digital ecosystems. Sokolin highlights the potential for investors to own networks of sensors and data generators, as well as the ability to tokenize real-world assets like vehicles and businesses. This shift is set to transform cryptocurrency markets, increasing trading automation and expanding opportunities in tokenized asset classes, thereby impacting liquidity, volatility, and market structure (source: Lex Sokolin).

According to @LexSokolin, the machine economy is now a reality as AI agents autonomously purchase GPU time, smart contracts handle treasury management, and digital workers earn digital assets. The necessary infrastructure, models, and networks are already in place, enabling seamless transactions between autonomous services. This evolution is poised to impact cryptocurrency trading by increasing demand for digital assets and blockchain-powered transaction networks. Traders should monitor the growth of AI-driven services and smart contract adoption as these trends can drive volatility and liquidity in crypto markets (Source: @LexSokolin).

According to Lex Sokolin, the evolution from roboadvisors and neural networks is ushering in a new machine economy where AI-driven agents can independently earn, trade, create, own, and build assets without human intervention. This emerging economic layer is poised to disrupt traditional market structures and could significantly impact cryptocurrency trading by introducing autonomous systems capable of executing complex strategies at scale. Sokolin highlights that this shift may enable machines to capture a substantial share of global GDP, leading to increased trading volumes and volatility across digital asset markets. Source: Lex Sokolin

According to Lex Sokolin (@LexSokolin), the machine economy is expanding rapidly, driven by AI-powered autonomous agents and decentralized infrastructure (source: Twitter, June 2, 2025). This growth creates new opportunities for crypto traders, as machine-to-machine (M2M) payments and smart contracts are increasingly integrated with blockchain networks like Ethereum and Solana. Traders should monitor projects enabling autonomous transactions and decentralized finance protocols, as the rising machine economy could drive higher demand and transaction volume for tokens supporting these ecosystems.

According to Michaël van de Poppe, the discussion with PEAQ's founder Dor Loechter highlights DePin's potential impact on the Machine Economy, emphasizing its likely significance in future trading landscapes. The conversation suggests traders should consider the strategic importance of DePin technology in upcoming market dynamics, as highlighted in the video interview provided.