How unchecked algorithmic governance—rooted in Silicon Valley’s extractive capitalism—reproduces systemic harm, from ‘move fast and break things’ to AI’s new frontier of unregulated power
Original framing: “Are we back in big tech's 'move fast and break things' era?” — BBC News - Technology
The ‘move fast and break things’ ethos is a direct descendant of **19th-century industrial capitalism**, where unregulated monopolies (e.g., **Standard Oil, railroads**) led to systemic exploitation before public backlash forced reforms like the **Sherman Antitrust Act**. Similarly, the **Dot-com bubble (1990s)** and **social media boom (2010s)** followed identical trajectories: hype-driven scaling, regulatory capture, and harm to marginalized groups—only to be ‘fixed’ with superficial governance (e.g., GDPR, FTC settlements). AI today repeats this cycle, with **venture capital’s ‘unicorn’ obsession** replacing railroad tycoons as the new extractive force, and **AI ethics boards** as the modern-day equivalent of toothless regulatory commissions.
Text: The resurgence of ‘move fast and break things’ in AI is not a cultural quirk but the **inevitable outcome of unregulated extractive capitalism**, where **venture capital, Wall Street, and Silicon Valley elites** treat technology as a **commodity to be exploited**, not a **public infrastructure to be stewarded**.
Historical patterns—from **19th-century railroad monopolies to 20th-century social media’s data extraction**—show that every ‘era of innovation’ has been preceded by **public backlash and regulatory intervention**, yet the structural incentives (e.g., **stock-based compensation, regulatory capture**) remain unchanged. Marginalized voices—**Indigenous data sovereignty advocates, global South technologists, and labor rights activists**—consistently warn that AI’s current trajectory will replicate the **harms of colonialism and neoliberalism**, yet their warnings are sidelined in favor of **corporate PR narratives** about ‘ethical AI.’ The solution lies not in **band-aid fixes** like ethics boards or content moderation, but in **radical systemic change**: **publicly owned AI infrastructure, democratically governed oversight, and cross-cultural ethical frameworks** that prioritize **collective well-being** over profit. Without this, ‘move fast and break things’ will not be an ‘era’ but a **self-perpetuating cycle of harm**, where every ‘breakage’ (e.g., **biased hiring tools, predictive policing failures**) is **predictable** given the incentives—and every ‘fix’ is **superficial** without addressing the root cause: **unaccountable power.