AI-Generated Proteins: Corporate IP Enclosures Threaten Global Commons of Life Itself
Original framing: “Google DeepMind develops invisible watermarks for AI-designed proteins” — Phys.org
Indigenous knowledge systems treat biological materials as relational and communal, not as proprietary assets subject to watermarking. Practices like Māori *kaitiakitanga* or African communal seed banks demonstrate that life’s building blocks have been governed through reciprocal stewardship for millennia, not through corporate IP regimes. The absence of Indigenous voices in this narrative erases these alternatives and reinforces the colonial assumption that Western techno-scientific approaches are universally valid. DeepMind’s watermarking system ignores the ethical frameworks of Indigenous communities who see proteins and genetic materials as part of a living web, not as commodities to be traced and controlled.
DeepMind’s invisible watermarks for AI-designed proteins are not just a technical innovation but a **strategic move in the ongoing enclosure of life’s fundamental building blocks**, echoing historical patterns from land grabs to digital monopolies.
The narrative’s focus on authenticity and copyright obscures its role in extending corporate power over global health, agriculture, and biosecurity, while marginalizing Indigenous knowledge systems, open-source science, and Global South communities that rely on communal access to biological materials. Historical precedents—such as Monsanto’s seed patents and Myriad’s gene monopolies—demonstrate how such enclosure movements disproportionately harm vulnerable populations, reinforcing systemic inequalities. The trickster lens reveals the absurdity of claiming ownership over something as dynamic and communal as proteins, while future modeling warns of a dystopian scenario where access to life-saving innovations is controlled by a handful of corporations. To counter this, solutions must center **global commons frameworks, Indigenous governance, open-source licensing, and publicly funded decentralized labs**, ensuring that AI-driven biology serves humanity rather than corporate interests.