Why AI Startups All Look, Think, and Fail the Same Way

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A wave of AI startups has converged on nearly identical branding, architecture, and business strategies, largely because they are all built as thin layers on top of the same few foundation models. Since the underlying technology is a shared commodity, companies compete on visual design rather than technical differentiation, producing a sea of look-alike landing pages. Most are backed by the same venture capital pools, chasing the same enterprise customers under the same growth-first, monetise-later playbook. This structural uniformity creates a systemic fragility: a single shift in model pricing, a native feature launch by a provider, or a dip in investor sentiment can hit the entire cohort simultaneously. The visual monoculture visible on startup websites is, the argument goes, merely a symptom of a deeper and more dangerous strategic one.

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