In 2017, when the market was still debating whether AI was an opportunity or a bubble, Robert Anderson focused on a different question: how much these technologies were actually worth.

As a former CIO of a technology-focused hedge fund, he managed over $2 billion in assets and delivered a 31% annualized return over a three-year period, significantly outperforming the Nasdaq-100 Index.

Behind these results was a stable and clearly defined decision-making framework.

He proposed the “Computational Moat–Value Mapping Model,” which breaks down AI companies into three core variables:

-Technical capability (algorithmic depth and compute architecture)

-Data assets (scale, structure, and usability)

-Cash flow pathway (commercialization ability and the pace of monetization)

Under this framework, AI shifts from narrative to structure, and value begins to take on a decomposable and measurable pathway. Based on this system, he completed a series of key strategic allocations:

Multi-cycle analysis of NVIDIA Corporation

• Core company research on Palantir Technologies and Snowflake Inc.

• Pre-IPO valuation modeling for multiple AI unicorns

Among these:

In 2022, a single cycle in NVIDIA generated returns exceeding 300%

• In 2025, a renewed position achieved a 113% return

His perspective has always focused on one core question: how industries evolve, and how value is ultimately released.

Beyond investing, he has continuously worked on expanding the diffusion of knowledge. In 2021, he founded Cerebrum Capital Studio, training more than 5,000 investors and systematically improving AI research efficiency by 300%.

At ATI, the courses he leads:

“Three Perspectives on AI Industry Valuation”

It is becoming an important reference framework for institutional investors.

Robert Anderson’s capability can be summarized in one sentence:

To build clear value judgments on top of complex technology.

In an era where noise is constantly amplified,

what he is doing is something even more scarce

Establishing a coordinate system for value.

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