According to @LexSokolin, the target state for finance is decentralized, automated, AI-powered and broadly accessible, but near-term resistance is concentrated in regulation, custody capital costs, AML enforcement, smart contract risk and AI governance, which directly shape venue liquidity, listings and event risk for BTC and ETH. Source: Lex Sokolin on X Custody capital rules deter banks from scaling crypto services because SEC Staff Accounting Bulletin No. 121 requires customer crypto assets to be carried on balance sheet, and President Biden vetoed a 2024 resolution to repeal it, keeping constraints in place for U.S. incumbents and limiting spot liquidity bridges. Source: SEC SAB 121; White House Veto Message May 2024 In the EU, MiCA’s stablecoin provisions entered into application in 2024 and the Crypto-Asset Service Provider regime starts from December 2024 with national transitions into 2025, steering exchange authorization, stablecoin issuance, and cross-border flows that traders must track for order book depth and euro liquidity pairs. Source: Regulation (EU) 2023/1114 MiCA; ESMA and EBA MiCA implementation updates 2024 Global AML requirements such as the FATF Travel Rule are still unevenly implemented across jurisdictions, prompting exchanges and brokers to harden withdrawals and counterparty checks, which can fragment liquidity and lengthen settlement paths for arbitrage between on-chain DeFi and centralized venues. Source: FATF Targeted Update on Virtual Assets and VASPs, 2023 and 2024 Institutional adoption of automated DeFi is slowed by oracle risk, governance concentration and smart contract exploit history, keeping higher risk premia on DeFi yields versus equivalent TradFi credit and affecting pricing of governance tokens and LP returns. Source: BIS The crypto ecosystem: key elements and risks 2023; IOSCO Policy Recommendations for Decentralised Finance 2023 AI-driven trading and advice face pending guardrails, as the SEC proposed rules on predictive data analytics for brokers and advisers and the EU adopted the AI Act, implying added model governance and disclosure for AI-enabled execution, which raises vendor risk and time-to-market for AI trading tools in crypto. Source: SEC July 2023 PDA conflicts proposal; European Parliament adoption of the AI Act 2024 Access remains a policy priority given 1.4 billion adults were unbanked in 2021, but onramps still require KYC and consumer protections, delaying universal access and keeping fiat rails as the binding constraint for retail crypto participation. Source: World Bank Global Findex 2021

According to @gdb, a ChatGPT agent specifically designed for investment banking has been developed. For traders, the introduction of such a sophisticated AI tool into high-finance sectors could signal a new wave of automation in market analysis, M&A due diligence, and financial modeling. This advancement may lead to increased efficiency in capital markets, potentially influencing algorithmic trading strategies and boosting investor sentiment towards AI-related cryptocurrency tokens and platforms that leverage artificial intelligence for decentralized finance (DeFi) applications.

According to @yourtwitterhandle, the evolving workflow of AI assisted coding focuses on streamlining code structure to reduce the need for manual verification steps. This approach enhances efficiency in developing automated trading bots, potentially accelerating deployment times and lowering error rates, which is crucial for maintaining a competitive edge in the fast-moving cryptocurrency markets. Verified workflows that minimize human oversight may also improve security and reliability, factors highly valued by crypto traders and developers (source: @yourtwitterhandle on Twitter).

According to Mustafa Suleyman, AI vision technology is transforming user interaction with computers, showcasing eight practical use cases that highlight its potential. For traders, these advancements in AI vision are expected to accelerate adoption in sectors like crypto trading, blockchain analytics, and automated risk assessment, as visual data processing enables faster pattern recognition and real-time market sentiment analysis (Source: Mustafa Suleyman via Twitter, May 2, 2025). Integrating AI vision tools could provide traders with edge in high-frequency trading, while also supporting compliance and fraud detection through advanced image analysis.

According to AI at Meta, LlamaCon 2025 introduced significant advancements in AI security with the launch of open-source Llama protection tools, including Llama Guard 4. Llama Guard 4 offers customizable safeguards for both text and image data, which is crucial for developers integrating AI into financial trading systems. These tools enhance the integrity and security of AI-powered trading algorithms by providing robust defense mechanisms against data manipulation and adversarial attacks (source: @AIatMeta, Twitter, April 29, 2025). The open-source nature allows for rapid adoption and community-driven improvements, benefiting traders and institutions focused on secure, compliant AI deployments.

According to OpenAI, the new lightweight version, OpenAI o4-mini, enhances deep research capabilities by maintaining intelligence while being cost-effective. This development could revolutionize cryptocurrency trading strategies by providing efficient, in-depth analysis at a reduced cost, enabling traders to optimize their decision-making processes.

According to Nic Carter, a well-known cryptocurrency analyst, the integration of AI with trading strategies can significantly enhance trading efficiency by providing smarter insights and faster decision-making processes. The use of AI in this context is not complicated but rather a strategic advantage, as suggested by Carter's recent tweet. This aligns with the growing trend of AI adoption in financial markets, particularly in cryptocurrency trading, offering traders enhanced analytical capabilities and improved market forecasting (source: Twitter - Nic Carter).