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Illustration for: AT&T Ventures' Vikram Taneja on the New Rules of Seed-Stage Defensibility
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AT&T Ventures' Vikram Taneja on the New Rules of Seed-Stage Defensibility

AT&T Ventures head Vikram Taneja argues that in an AI world where features are trivially cloned, seed-stage defensibility now comes from proprietary data, distribution and workflow lock-in rather than the product itself. It's a framework for how early investors are re-underwriting moats when the tech advantage evaporates overnight.

By the Numbers

Vikram Taneja
Investor
AT&T Ventures
Firm
Seed
Stage
Data, distribution, lock-in
New Moats
TC
Trace Cohen
Early-stage VC & angel ยท Founder, New York Venture Partners
June 18, 2026
1 min read
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THE RUNDOWN

1

If any feature can be copied by an incumbent's model in weeks, classic product moats are gone

2

Investors are repricing what 'defensible' means at the earliest, riskiest stage

3

Proprietary data, distribution and workflow lock-in become the real durable advantages

4

How seed funds answer this reshapes which startups get funded at all

TC

The VC Read ยท Trace's Take

Trace Cohen

This is the question I'm wrestling with on every seed deal right now: if a frontier model can clone your feature in a month and Adobe can ship it to its installed base, what exactly are you defending? Taneja's answer is right -- the moat moved to proprietary data, distribution and workflow lock-in, none of which a model conjures out of thin air. The founders who get funded from here are the ones who can credibly point at one of those, not just a prettier wrapper. 'We built it first' is officially dead as a moat.

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Analysis

Vikram Taneja, who leads AT&T Ventures, makes the case that the old playbook for seed-stage defensibility has broken. In a market where a capable model can replicate a clever feature in a matter of weeks -- and where incumbents like Adobe and Microsoft are folding the same capabilities into products people already use -- a slick demo is no longer a moat.

His reframing points to durable advantages that AI can't trivially copy: proprietary data that compounds with usage, distribution into channels a newcomer can't easily reach, and workflow lock-in that makes switching painful. Those are structural rather than technical, and they're what early investors increasingly underwrite when the product edge has a half-life measured in months.

โ€œThose are structural rather than technical, and they're what early investors increasingly underwrite when the product edge has a half-life measured in months.โ€

The argument matters because it filters down to which companies get funded. If defensibility now lives in data, distribution and lock-in, then the founders who can articulate a credible path to one of those -- not just a better model wrapper -- are the ones who clear the bar. For emerging managers, it's a useful lens on a market where 'we built it first' stopped being an answer.

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@Trace_Cohenยทt@nyvp.com