Published April 28, 2026
AI Alpha Leaderboard
Rank the evidence, not the narrative.
A research board for AI-relevant companies where evidence, asymmetry, and durability may be mispriced. This is not a hype list. It is a shortlist for deeper research.
Mode
Board
Bias
Evidence
Objective
Asymmetry
Use case
Triage
Methodology
Score signal, asymmetry, and durability.
Scores are qualitative research scores, not price targets or investment recommendations.
Signal
Quality of evidence, customer proof, and seriousness of the thesis.
Asymmetry
Upside versus current market understanding and narrative saturation.
Durability
Likelihood the advantage can matter over a five-to-twenty-year horizon.
Prime candidates
Strongest current research candidates.
Names with credible evidence and long-duration relevance. Deeper research still required.
| Rank | Name | Ticker | Theme | Signal | Asymmetry | Durability | Total | Core thesis |
|---|---|---|---|---|---|---|---|---|
| #1 | Qualcomm | QCOM | Local AI / edge inference | 8 | 8 | 8 | 24 | If local/private AI becomes standard on devices, Qualcomm is a serious edge winner. |
| #2 | ServiceNow | NOW | Enterprise workflow agents | 8 | 7 | 8 | 23 | Agentic AI in enterprise likely needs workflow systems, not just models. |
| #3 | Snowflake | SNOW | Enterprise AI data layer | 7 | 7 | 8 | 22 | Agents need governed data; Snowflake can become a control point if economics follow. |
| #4 | Marvell | MRVL | Custom AI silicon / interconnect | 7 | 8 | 7 | 22 | Custom AI silicon and interconnect may capture more value than consensus expects. |
Operating rule
This is a research filter, not a buy list.
A company graduates only when facts improve: customer proof, economics, adoption, margins, or evidence that it controls something durable.