The US government and its allies are taking steps to strengthen their artificial intelligence (AI) supply chains, a move that could have significant implications for the adult industry's reliance on AI-powered technologies.

What Happened

A recent report from the Atlantic Council's GeoTech Center highlights the growing importance of securing the nation's AI supply chain. The report notes that the coordination of chips, data, infrastructure, code, and human ingenuity produces AI systems, and that the AI supply chain consists of physical and virtual resources required to develop and deploy AI models.

The report also emphasizes the need for policymakers to define the scope of the AI supply chain, as overly broad definitions risk diluting prioritization efforts and overly limited definitions fail to anticipate relevant risks. The authors identify critical components such as advanced semiconductors, networking infrastructure, software and computing resources, data, and models that form the core of the AI supply chain.

Background and Context

The issue of securing the AI supply chain has become a pressing concern for policymakers in recent years. The report notes that export control debates have fixated on semiconductors used to develop and deploy AI models, while other deliberations focus on copyright implications of training data and security and sustainability of data center buildouts.

The Trump administration's AI Action Plan has called for the expansion of US AI infrastructure and semiconductor manufacturing capability, as well as an acceleration of AI innovation through measures such as removal of regulations and development of datasets. Governance frameworks such as the European Union (EU) AI Act impose controls on AI applications, while voluntary commitments from AI labs have led to pre-release model evaluations by governments and nonprofits.

The recent US National Cyber Strategy has also identified securing the AI stack as a priority, recognizing the importance to US leadership of data, infrastructure, and models. Initiatives from the US Department of State such as Pax Silica frame allied coordination on semiconductor and critical mineral supply chains as crucial components of AI competitiveness.

Why it Matters to the Industry

The strengthening of AI supply chains has significant implications for the adult industry's reliance on AI-powered technologies. The industry relies heavily on advanced semiconductors, networking infrastructure, software and computing resources, data, and models that form the core of the AI supply chain.

The industry also faces challenges related to export control debates, copyright implications of training data, security and sustainability of data center buildouts, and securing the AI stack. The adult industry's reliance on AI-powered technologies makes it vulnerable to disruptions in the AI supply chain, which could have significant impacts on its operations and revenue.

What Comes Next

The strengthening of AI supply chains is a complex issue that requires collaboration between policymakers, industry leaders, and other stakeholders. The report notes that initiatives such as Pax Silica frame allied coordination on semiconductor and critical mineral supply chains as crucial components of AI competitiveness.

The US government and its allies are taking steps to strengthen their AI supply chains, including the expansion of US AI infrastructure and semiconductor manufacturing capability, acceleration of AI innovation through measures such as removal of regulations and development of datasets, and securing the AI stack. The adult industry should closely monitor these developments and consider how they may impact its operations and revenue.

Key Facts

  • The US government and its allies are taking steps to strengthen their artificial intelligence (AI) supply chains.
  • The coordination of chips, data, infrastructure, code, and human ingenuity produces AI systems.
  • The AI supply chain consists of physical and virtual resources required to develop and deploy AI models.
  • Advanced semiconductors, networking infrastructure, software and computing resources, data, and models form the core of the AI supply chain.
  • The US government's AI Action Plan has called for the expansion of US AI infrastructure and semiconductor manufacturing capability.