Tech giants like Alibaba and Tencent invest in AI startups like DeepSeek not just for financial returns, but for strategic benefits. The investment helps them acquire the startup as a cloud computing customer and secures access to its cutting-edge technology for their own massive user bases.

Unlike prior tech waves where founders aimed to build companies, many top AI founders are singularly focused on achieving AGI. This unified "North Star" creates a unique tension between long-term research and near-term product goals, leading to unconventional founder and company dynamics.

Naming AI research teams with terms like "AGI" is more about signaling a long-term "north star" and creating "vibes" to attract ambitious talent, rather than reflecting a concrete, step-by-step plan to achieve artificial general intelligence.

For elite AI researchers, the mission to build AGI is a primary motivator, described as a "quasi-religious enterprise." This suggests labs focusing on this long-term vision, like OpenAI, can attract top talent even from well-funded competitors, as researchers seek the best environment to achieve this ultimate goal.

Contrary to the public narrative of AI as a helpful tool, the stated mission of labs like OpenAI is to build AGI that can replace all forms of human cognitive labor. The massive valuations and investments are justified by the goal of total automation, not mere augmentation.

Despite intense competition, Chinese AI leaders like DeepSeek secure significantly smaller funding rounds (e.g., $7.4 billion) compared to US giants like OpenAI. This reflects structural differences in capital market depth and scale between Silicon Valley and Mainland China, not necessarily a lack of ambition or technological progress.

Founders of top Chinese AI labs like DeepSeek and Kimi intentionally cultivate cultures focused on the long-term mission of achieving AGI over immediate commercialization. This focus on "core science" helps unite teams and attract talent, countering stereotypes of pure commercial focus.

Labs like DeepMind and OpenAI state that building a machine that can do anything a human brain can is their core mission. However, many experts believe the idea is ridiculous, as the path isn't clear. This frames the pursuit as an article of faith rather than a concrete scientific roadmap.

China's strategy of releasing powerful open-weight models to "fast follow" US capabilities creates a paradox. While it closes the technology gap, it prevents Chinese labs from building sustainable businesses. Without monetizing via proprietary APIs like OpenAI, they cannot generate the revenue needed to acquire the massive compute resources required for long-term competition.