Jack Dorsey Warns AI 'Copilot' Strategy is a Path to Failure
Jack Dorsey stated that most companies viewing AI as a 'copilot' auxiliary tool rather than a core rebuild will struggle to survive.
He pointed out that additive AI leads to high homogeneity between companies and cutting-edge labs, making differentiation difficult; since early 2024, his team has shifted to building the Goose agent coding framework, focusing on reconstructing companies from scratch around AI rather than accelerating old processes.
In market mechanisms, tech talent and capital are concentrating from traditional additive AI projects to native AI architecture companies, with reconstructive players like Block benefiting from long-term differentiation, while software and service companies relying on copilot efficiency are under pressure, with competitive advantages rapidly shifting to companies that truly center on intelligence.
Source: Public Information
ABAB AI Insight
Jack Dorsey has been pushing Block's strategic shift since the AI tool explosion in early 2024. His early experiences with Twitter/X have given him a deep understanding of the value of platform-level reconstruction. He has publicly criticized the industry's superficial application of AI multiple times, emphasizing that intelligence must be embedded in a company's DNA rather than as a plugin layer.
In terms of capital pathways, Block is concentrating engineering resources on native AI agent systems like Goose, shifting funding from optimizing traditional payment and crypto businesses to a full-stack intelligent architecture rebuild. This is achieved through internal incubation and recruiting AI-native talent to flatten organizational structures. The strategic goal is to avoid being commoditized by cutting-edge labs while establishing unique barriers at the intersection of Bitcoin and AI.
Similar cases include early internet companies like Amazon and Netflix, which transitioned from 'website + AI' failures to platform reconstruction, and traditional enterprises that, after piloting copilot initiatives during the current AI boom, are still diluted by pure AI startups. Currently, Block is in the early stages of transforming from a payment/crypto company to an AI-native intelligent entity.
Essentially, this is a technological replacement: traditional enterprise organizations and processes are being fully replaced by AI-native architectures. The mechanism is that copilot-style efficiency can be quickly replicated across the industry, lacking a moat, leading to pricing power concentrating from existing business structures to companies that control core intelligent architectures, forcing survivors to undergo company-level rather than tool-level rebirth.