Whats the realistic failure rate for ai startups compared to startups generally

Broadly Comparable Overall, With Some Distinct Risk Factors

AI startups generally face failure rates broadly comparable to startups overall, which historically fail at a high rate within their first several years, though AI startups face some somewhat different specific risk factors rather than being meaningfully safer or riskier than startups in general as a broad category.

Why Startup Failure Rates Are Generally High Across the Board

Startups broadly, across nearly every industry and technology category, have historically faced high failure rates within their first several years, reflecting the inherent difficulty of building a new company from scratch regardless of the specific technology or industry involved — a baseline risk that applies to AI startups as much as to startups generally.

The Risk of Being Undermined by a Foundation Model Provider

As covered elsewhere, AI startups face a somewhat distinct risk that a foundation model provider could add a similar feature to their own core value proposition, potentially undermining a narrowly scoped startup’s reason for existing — a risk factor less directly analogous in most non-AI startup categories.

The Risk of Rapid Technology Change

AI technology has continued to change rapidly, meaning a specific technical approach or product design that seemed well-positioned at a given point could become less competitive or even obsolete as underlying model capabilities continue to advance, representing a somewhat distinct and ongoing risk factor for AI startups specifically.

Dependence on External Model Providers

Startups building on existing foundation models depend on external providers for pricing, availability, and capability decisions the startup itself doesn’t control, creating a distinct dependency risk — a pricing change or a capability limitation introduced by the provider could directly affect the startup’s own business, in a way that’s less analogous for companies not built atop a third-party AI provider’s infrastructure.

Why Lowered Barriers to Entry Have Intensified Competition

Because building on existing foundation models has lowered the technical barrier to launching an AI product, as covered elsewhere, this has also intensified competition within many AI product categories, since more companies can now attempt to build a similar product than could have when deeper, more specialized AI expertise was required.

Why There’s No Strong Evidence AI Startups Are Categorically Safer or Riskier

Despite these somewhat distinct specific risk factors, there’s no strong evidence that AI startups as a broad category are meaningfully safer or riskier overall than startups generally — the specific risk profile differs in its particular details, but the broad, high baseline failure rate common to startups overall still applies.

Bottom Line

AI startups generally face failure rates broadly comparable to startups overall, which historically fail at a high rate, though they face some somewhat distinct specific risk factors — dependence on foundation model providers, rapid technology change, and intensified competition from lowered barriers to entry — rather than being categorically safer or riskier than startups in general.

Go deeper

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