Woofun AI reports that Anthropic has initiated early-stage development of proprietary AI chips in partnership with Samsung, a move executed precisely as semiconductor stocks plummet across global markets. While the broader industry faces a correction, the San Francisco-based AI lab is leveraging its recent capital influx to secure manufacturing capacity using Samsung's advanced 2nm process and packaging technology. This strategic divergence suggests a calculated attempt to insulate future compute requirements from market volatility and supplier constraints.

The Information cites three informed sources confirming that Anthropic is currently defining the functional specifications, performance metrics, and server adaptation schemes for these custom silicon units. Although the company has engaged multiple design service providers to assist with the initial architecture, the project remains distant from detailed design, testing, or mass production phases. Sources caution that the initiative carries significant execution risk and could be abandoned midway if technical hurdles prove insurmountable. Personnel movements signal the seriousness of the effort, with Clive Chan, an early member of OpenAI's custom chip team, joining Anthropic on June 9 to lead the emerging hardware division. Despite these internal developments, Anthropic maintains public caution, emphasizing that immediate scaling will continue to rely on AWS Trainium, Google TPUs, and NVIDIA GPUs without commenting on a definitive roadmap for its own silicon.

Market context reveals a stark backdrop for this hardware pivot, as the Philadelphia Semiconductor Index recorded a cumulative drop of nearly 12% over two trading days, marking its steepest decline since June 5. Memory chip manufacturers bore the brunt of the sell-off, with Samsung Electronics falling 9.1% overnight and SanDisk dropping 14.1%. This volatility underscores the precarious nature of the semiconductor supply chain, where capital flows can reverse rapidly. The timing of Anthropic's announcement, coinciding with such a sharp correction, highlights a strategic decision to lock in long-term manufacturing relationships before market conditions potentially deteriorate further or capacity becomes even more constrained.

Samsung's motivation extends beyond immediate financial returns, driven by a desperate need to close the gap with TSMC in the foundry sector. While Samsung leads in memory chips, it has historically lagged in advanced logic manufacturing, a domain where TSMC remains the industry standard for cutting-edge AI chips. The current strain on TSMC's capacity due to surging AI demand presents a unique opening for Samsung to attract high-profile clients like Anthropic and Google, the latter of which is reportedly considering Samsung for future TPU production. This partnership is underpinned by Anthropic's Series H financing round, which raised $65 billion with Samsung Electronics, SK Hynix, and Micron Technology participating as strategic investors. This capital injection not only secured memory supply but also cemented a hardware alliance. South Korea's national commitment further bolsters this strategy, with a ten-year plan led by Samsung Group and SK Group totaling $518 billion to construct four memory chip factories. On July 2 alone, Samsung announced a $90 billion investment, equivalent to 140 trillion won, for the Chungcheong region, including a next-generation HBM production base in Wonju and five new production lines.

Additionally, Samsung Electro-Mechanics is expanding AI server packaging substrate capacity in Sejong City, reinforcing the nation's industrial push.

The economic rationale for Anthropic's chip development centers on inference efficiency and revenue projection management. CEO Dario Amodei, in a February interview with Dwarkesh Patel, outlined the existential risk of over-investing in compute power. Amodei stated, 'If I assume revenue continues to grow tenfold each year, by the end of 2026 it would be $100 billion, and by the end of 2027 it would be $1 trillion. Based on that, I could order $1 trillion worth of computing power. But what if I'm wrong? What if the growth multiplier is 5 times instead of 10 times? If revenue in 2027 is only $800 billion instead of $1 trillion, then I would go bankrupt. No hedge could save me.' This logic drives the push for custom inference chips, similar to OpenAI's 'Jalapeño' designed by Broadcom, which promises superior energy efficiency. Amodei noted that global compute capacity built this year stands at 10 to 15 gigawatts, tripling annually, with industry investment projected to reach tens of trillions of dollars by 2028 or 2029. Owning the silicon allows Anthropic to optimize power consumption and negotiate leverage in a market where data centers and electricity are becoming scarce resources.

Supply chain interdependencies have evolved into a complex web where autonomy is an illusion, as noted by programmer Benny Lam. Lam observed that every American AI lab seeking Asian foundries for custom chips is not breaking free from dependency but rather tightening the supply chain knot. Anthropic requires Samsung's wafer fabs to reduce reliance on NVIDIA, yet NVIDIA itself depends on Samsung for HBM memory and LPU chips, creating a circular dependency. Tech blogger Vaibhav Sisinty highlighted that Samsung's $65 billion investment in Anthropic is a strategic bet to become the primary hardware partner, controlling the speed and cost of scaling for millions of daily queries. The three entities—Anthropic, Samsung, and NVIDIA—are inextricably linked, with each needing the others to maintain competitive positioning against TSMC and other rivals.

Woofun AI data shows that despite the push for custom silicon, Anthropic's multi-cloud strategy remains deeply entrenched in existing contracts with major providers. The company has committed over $100 billion to AWS by April 2026, securing 5 gigawatts of capacity including Trainium2, Trainium3, and Trainium4 chips. Simultaneously, agreements with Google and Broadcom will deliver approximately 3.5 gigawatts of next-generation TPU computing power starting in 2027, building on 2025 deals worth hundreds of billions of dollars.

The balance between hardware autonomy and continued reliance on major providers defines Anthropic's current trajectory. While the partnership with Samsung and the development of 2nm chips represent a bold step toward independence, the sheer scale of existing commitments to NVIDIA, AWS, and Google ensures that the company remains deeply embedded in the established ecosystem. This dual approach reflects a pragmatic acknowledgment that while custom silicon offers long-term cost and performance benefits, the immediate demands of scaling AI models cannot be met without the massive infrastructure of incumbent hardware giants.