Core Crypto Guardians Flee to AI: Move Creator Joins Anthropic Amid 75% Dev Drop

Woofun AI reports that Sam Blackshear, the architect of the Move programming language, has departed Mysten Labs to join Anthropic, signaling a strategic pivot from blockchain infrastructure to AI defensive security research. This transition marks the exit of a foundational figure whose work underpins the Sui blockchain, highlighting a broader trend where core technical guardians are abandoning crypto ecosystems for the rapidly expanding artificial intelligence sector. The departure is not merely a personnel change but a structural shift in where elite engineering talent chooses to deploy its capabilities, moving from decentralized ledger protocols to large language model safety and optimization.

Blackshear's trajectory began in 2018 at Meta, where he served on the core technical team for the Libra stablecoin project initiated by Zuckerberg. During this period, he designed the Move programming language, originally intended to secure the digital asset infrastructure for what would later be renamed Diem. Despite the eventual halt of the entire stablecoin project due to intense regulatory pressures, the Move language itself survived as a distinct technological artifact. This early experience embedded Blackshear with deep expertise in secure smart contract development, a skill set that would later become critical for next-generation blockchain platforms. The failure of Diem did not erase the value of the underlying code; instead, it preserved the language for future application in more resilient decentralized environments.

In September 2021, Blackshear co-founded Mysten Labs alongside four former colleagues from Meta, effectively resurrecting the Move language from the remnants of the failed Libra initiative. Together, they built Sui, a new public blockchain centered around the unique capabilities of Move. From its initial conception within Meta to his recent departure, Blackshear invested over eight years in refining this specific programming paradigm. This long-term commitment underscores the depth of his involvement; he was not just a contributor but the primary steward of the language's evolution. The founding of Mysten Labs represented a deliberate effort to create a high-performance blockchain that could leverage Move's safety features, positioning Sui as a competitor in the Layer 1 landscape.

The significance of Blackshear's role in Sui and Move can be directly compared to Vitalik's position within Ethereum and the Solidity programming language. In the crypto ecosystem, individuals who design underlying languages or control protocol evolution act as essential 'gatekeepers,' determining the security boundaries and functional limits of entire networks. Their influence is not easily measured by traditional job titles but by their ability to shape the technical trajectory of multi-billion-dollar ecosystems. These gatekeepers decide what is possible and what is prohibited within the code, making their presence critical for maintaining trust and stability. When such figures leave, they take with them institutional knowledge that is difficult to replace, creating potential vulnerabilities in the systems they once protected.

A pivotal moment illustrating the appeal of AI occurred in April this year, when Blackshear shared an experience from his time at Facebook involving a code migration task. He had written an analysis tool that needed to be migrated to Move to scan for potential vulnerabilities, a process that previously relied on manual labor and took 'a very long time.' By handing this task to Claude, the AI automatically completed the migration and even identified several hidden vulnerabilities. Blackshear's reaction upon seeing the results was, 'Whoa, we've entered a new world.' This anecdote highlights how AI tools are not just automating routine tasks but are actively enhancing security and efficiency in ways that human developers alone cannot match, creating a powerful pull for engineers seeking more impactful work.

Woofun AI data shows that this migration pattern extends beyond Blackshear to other key crypto figures who have recently joined AI firms. In February this year, Tomasz Stańczak, co-executive director of the Ethereum Foundation, announced his resignation after less than a year in the role, citing that 'agentic systems and AI-assisted discovery are reshaping the world.' Stańczak, who previously founded Nethermind, a critical Ethereum client, was a key player in shaping protocol evolution.

Similarly, Alex Atallah, co-founder of OpenSea, resigned as CTO in 2022 during the NFT peak to create OpenRouter, an AI model aggregation platform now valued at $500 million. Leopold Aschenbrenner, who left FTX's Future Fund after writing the 'Situational Awareness' report, now manages an AI investment fund, while his former colleague Avital Balwit serves as chief of staff to Anthropic CEO Dario Amodei. These individuals represent a diverse range of expertise, from protocol design to venture capital, all converging on the AI sector.

The exodus of talent is reflected in stark developer metrics, with weekly code submissions to GitHub for crypto projects dropping from around 850,000 at the beginning of 2025 to about 210,000, 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. Specific ecosystems saw severe contractions: Ethereum's developer base decreased by 34% in three months, SOL dropped by 40%, and BNB Chain saw its code submissions fall by 85%.

In contrast, the GitHub platform as a whole added about 36 million new developers in 2025, with overall code submissions rising by 25% year-on-year. 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. Omar, an investor in Dragonfly, notes that attention has shifted to AI, falling cryptocurrency prices have reduced financial incentives, and some teams have moved from open-source to closed-source development, meaning the code hasn't disappeared but is no longer visible on GitHub.

Capital flows are mirroring this talent shift, with major venture firms redirecting funds toward AI and robotics. Paradigm closed a $1.2 billion new fund in May, expanding its scope to include AI for the first time, with managing partner Palmedo stating, 'There are too many things happening outside to pretend we can ignore them.' Framework Ventures raised $400 million last month for AI and robotics, and Haun Ventures raised $1 billion in May, also including AI. In the first half of 2026, global VC investment totaled $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, with Q2 crypto financing reaching only $12.8 billion according to cryptorank. This disparity highlights a fundamental reallocation of resources, where the financial engine supporting innovation is increasingly decoupled from blockchain technology.

Security vulnerabilities are becoming more apparent as expertise drains from the industry, exemplified by the July 30th incident involving the Coldcard hardware wallet. A firmware vulnerability was discovered that resulted in 1,196 wallets being emptied in 41 minutes, costing over 1,082 BTC, or approximately $70 million. This vulnerability had been hidden in the code for over five years without anyone noticing. Afterward, a Reddit developer fed Coldcard's open-source code into Claude Code and typed, 'Check for vulnerabilities.'

Eight minutes later, Claude identified the issue. Haseeb Qureshi, managing partner of Dragonfly, remarked on social media that approximately '$2 worth of AI hash rate' could have prevented this attack. This incident underscores the irony that while crypto loses its human guardians, AI tools are proving capable of detecting flaws that human auditors missed for years, yet the industry lacks the integrated processes to leverage these tools effectively.

The crypto industry is entering an awkward situation where security threats are increasing, AI-driven attack methods are becoming more sophisticated, and the people who define security standards are being recruited by the AI industry. Those who stay may eventually rely on AI to audit code and develop projects, an approach that seems efficient on the surface but is actually quite makeshift without human oversight. Without someone who truly understands the system to oversee it, is something built purely with AI really secure? Many people are asking when the bull market will arrive, but in an environment where gatekeepers are leaving in large numbers, a better question might be: what methods will be needed to defend against the next black swan?