Move Creator Joins Anthropic: Crypto Talent Exodus to AI Signals Structural Shift

Woofun AI reports that Sam Blackshear, the architect of the Move language and a foundational figure in the Sui blockchain ecosystem, has departed Mysten Labs to join Anthropic, marking a significant transfer of technical leadership from cryptocurrency infrastructure to artificial intelligence. This move underscores a widening structural divergence where core cryptographic talent is increasingly absorbed by AI firms, potentially weakening the foundational security layers of major blockchain networks.

The announcement was made on August 5 via X Corp, where Blackshear stated his new role involves defensive security research within the AI sector. To understand the magnitude of this departure, one must trace the lineage of the Move language itself. Around 2018, Blackshear was employed at Meta Platforms during the initial development phase of the Libra stablecoin project, spearheaded by Mark Zuckerberg. As a member of the core technical team, he designed Move specifically to address the security vulnerabilities inherent in smart contract platforms.

Although the Libra project was later renamed Diem and ultimately halted by regulators, the Move language survived the regulatory crackdown. In September 2021, Blackshear co-founded Mysten Labs with four former colleagues from Meta, extracting Move from the remnants of Meta's failed initiative to build a new public chain called Sui around it. From its initial conception to his recent departure, Blackshear invested over eight years into the development and refinement of this language, establishing it as a critical component of modern blockchain architecture.

The significance of Blackshear's exit extends beyond a simple job change; it represents the migration of a 'gatekeeper' whose influence on protocol security is comparable to Vitalik's role in Ethereum and Solidity. These individuals are not merely employees but the architects of trust, determining the ceiling of an ecosystem's security and scalability. The appeal of AI for such figures was vividly illustrated by Blackshear himself during a roundtable discussion on project security in April this year. He recounted an incident from his time at Facebook where he created an analysis tool intended to be migrated to Move to scan for potential vulnerabilities.

Previously, such migrations relied entirely on manual labor, a process he described as taking 'a very long time.' However, when he handed the task to Claude, the AI model automatically completed the migration and even identified several potential vulnerabilities that human auditors might have missed. Upon seeing the results, Blackshear reacted with, 'Whoa, we've entered a new world.' This experience highlights a genuine belief in AI's potential to solve complex engineering problems more efficiently than traditional methods, driving top talent away from crypto projects.

Blackshear is not an isolated case; a broader exodus of key crypto figures to the AI sector is underway. In February this year, Tomasz Stańczak, co-executive director of the Ethereum Foundation, announced his resignation after less than a year in the role. Stańczak, who previously founded Nethermind, one of the most important clients in the Ethereum ecosystem, was a key player in shaping the evolution of the Ethereum protocol. In his farewell post, he wrote, 'I now know that agentic systems and AI-assisted discovery are reshaping the world.'

His departure signals a shift in focus from blockchain protocol upgrades to the emerging paradigm of autonomous AI agents. Other notable departures include Alex Atallah, co-founder of OpenSea, who resigned as CTO in 2022 during the peak of NFT popularity. Atallah later founded OpenRouter, an AI model aggregation platform now valued at $500 million. Similarly, Leopold Aschenbrenner, who came from FTX's Future Fund and authored the 165-page report 'Situational Awareness,' now manages a multi-billion-dollar AI investment fund.

Despite recent heavy losses in crypto, he continues to make progress in the AI field. His former colleague Avital Balwit, also from FTX, is now the chief of staff to OpenAI CEO Dario Amodei. These individuals left the crypto industry at different times and for different reasons, but their skills are in high demand in the AI sector, suggesting a systemic reallocation of human capital rather than a mere flight from risk.

The withdrawal of talent is reflected in stark data trends on GitHub. Weekly code submissions for crypto projects dropped from around 850,000 at the beginning of 2025 to about 210,000, representing a 75% decline. During the same period, the number of active developers per week fell from around 8,700 to 4,600, a reduction of over half. Ethereum's developer base decreased by 34% in three months, SOL dropped by 40%, and BNB Chain saw an 85% drop in code submissions.

This decline is not isolated to one blockchain but affects almost every ecosystem, indicating a widespread loss of momentum. In contrast, the GitHub platform as a whole is growing. In 2025, it added about 36 million new developers, with overall code submissions rising by 25% year-on-year. According to GitHub Octoverse, most of this growth went to AI projects, with over 4.3 million AI-related code repositories, and the usage of LLM SDKs increased by 178% in a year.

This divergence highlights a clear shift in developer attention and effort from cryptocurrency to artificial intelligence.

Woofun AI notes that Omar, an investor in Dragonfly, attributes this trend to a combination of factors: attention has shifted to AI, falling cryptocurrency prices have reduced developers' financial incentives, and some teams have moved from open-source to closed-source development. The code hasn't disappeared; it's just no longer visible on GitHub. Thus, the crypto industry isn't 'dying' but shrinking, with peripheral elements fading while core teams tighten up.

However, the problem is that the 'gatekeepers' mentioned earlier are leaving the core, not the periphery. This year, at least 9 senior researchers and leaders left the Ethereum Foundation, with 5 of them departing in May alone, nearly emptying out the protocol research team. Vitalik, in a sense, has become Ethereum's last 'gatekeeper,' still guiding the project's core direction. The reasons for these departures vary—some had disagreements over internal governance, some were concerned about salaries, and others were dissatisfied with the L2 strategy. Regardless of the specific cause, these critical positions are now vacant, leaving a leadership void in one of the most important blockchain ecosystems.

Capital flows are also shifting dramatically toward AI and robotics. Paradigm closed a $1.2 billion new fund, expanding its investment scope to AI and robotics for the first time. Managing partner Palmedo said, 'There are too many things happening outside to pretend we can ignore them.' This trend is not unique to Paradigm. Framework Ventures raised $400 million last month to invest in AI and robotics, while Haun Ventures raised $1 billion in May, including AI for the first time. In the first half of 2026, global VC investment reached $510 billion, with OpenAI and Anthropic accounting for over 40% of that amount.

Meanwhile, the total financing in the entire crypto industry was less than 5% of that figure. Those who write code are leaving, and the funds that pay them are shifting directions, creating a dual pressure on the crypto industry's ability to innovate and maintain security.

The implications for security are profound, as recent incidents have become particularly frequent and severe. On July 30, a firmware vulnerability was discovered in the hardware wallet Coldcard, resulting in 1,196 wallets being emptied in 41 minutes, costing over 1,082 BTC, equivalent to about $70 million. This vulnerability had been hidden in the code for over five years without anyone noticing. Later, a Reddit developer fed Coldcard's open-source code into Claude Code and instructed it to 'check for vulnerabilities.' Eight minutes later, Claude identified the issue. Haseeb Qureshi, managing partner of Dragonfly, said on social media that approximately '$2 worth of AI hash rate' could have prevented this attack. This incident demonstrates both the power of AI in detecting vulnerabilities and the potential risks if such tools are not widely adopted or if the underlying code is not properly audited by human experts.

The crypto industry is facing an awkward situation: security threats are increasing, AI-driven attack methods are becoming more sophisticated, and the people who define security standards and audit underlying code are being recruited by the AI industry one by one. Those who stay may eventually rely on AI to audit code and develop projects. This seems efficient on the surface but is actually quite makeshift. Without someone who truly understands the system to oversee it, is what's created purely by AI truly secure? The reliance on AI for security audits introduces a new layer of complexity and potential risk, as AI models may not fully grasp the nuances of cryptographic protocols or the intent behind certain code structures. This creates a paradox where the tools meant to enhance security may also introduce new vulnerabilities if not carefully managed.

Many people are asking when the bull market will arrive. But in an environment where gatekeepers are leaving in large numbers, the better question might be: what methods will be needed to defend against the next black swan?