Andreessen Horowitz, "The Empty Promise of Data Moats" (Casado & Lauten, 2019) — most "data network effects" are really scale effects that diminish
Summary
Claim: Andreessen Horowitz (Casado & Lauten, 2019), "The Empty Promise of Data Moats": "there generally isn't an inherent network effect that comes from merely having more data." Most "data network effects" are really scale effects that diminish — the marginal value of incremental data falls while the cost of collecting/cleaning it rises, so "the defensible moat erodes as the data corpus grows."
Source: https://a16z.com/the-empty-promise-of-data-moats/
Confidence: Verified (the piece, the argument).
Notable: a16z is a tech investor with incentive to hype data, yet argues against the hype. That asymmetry is itself a credibility marker.
Why this matters for Candid: This is the centrepiece of the brief — the single most powerful independent voice against the "data = competitive advantage" frame. Anchors R7 — Test defensibility with one question: would your competitor's version of this look exactly like yours? If yes, it's a commodity and Synthesis: data is a defensible asset only when proprietary + hard to replicate + tightly coupled to a feedback loop + continuously refreshed — otherwise it is an operational byproduct any competitor can buy or collect.
Related entries
Referenced by (6)
- reference Research brief: live data and data-driven tools for SMBs — when it's an edge, when it's overkill (June 2026) relates-to
- reference Synthesis: data is a *defensible asset* only when proprietary + hard to replicate + tightly coupled to a feedback loop + continuously refreshed — otherwise it is an operational byproduct any competitor can buy or collect depends-on
- reference Caveats for the data-driven-tools brief: vendor self-reporting on conversion; enterprise-scale benchmarks; named-user quotes; macro projections relates-to
- rule R1 — Rent (or use free) for data ABOUT THE OUTSIDE WORLD; you will never out-collect the Census Bureau depends-on
- rule R2 — Build only on data you already own — transaction history, CRM, scheduling, no-show patterns; that is the only category with native defensibility depends-on
- rule R7 — Test defensibility with one question: would your competitor's version of this look exactly like yours? If yes, it's a commodity depends-on