Top AI companies like OpenAI and Anthropic cannot unilaterally slow development, even with safety concerns. They fear that competitors or foreign adversaries would seize an insurmountable advantage, forcing them to seek government-led coordination to pace development safely.

The safety regulations championed by OpenAI and Anthropic may hinder them more than their open-source competitors. By being forced to withhold their best models due to safety reviews, they risk stalling revenue growth and their ability to acquire the compute needed to maintain their lead.

Top AI labs like Anthropic publicly state that slowing down AI development would benefit society. However, they are caught in a strategic trap: a unilateral pause is unviable. Without a global agreement, any lab that pauses simply allows less cautious competitors to seize the lead, potentially making the ecosystem less safe.

A pause on training new, more capable AI models could paradoxically increase risk. It would halt progress at the few, relatively safety-conscious frontier labs, allowing less scrupulous competitors to catch up. Meanwhile, compute stockpiling would continue, making any subsequent capability leap even faster and more dangerous.

Anthropic CEO Dario Amodei refutes the idea that all AI regulation leads to 'regulatory capture.' He claims his lobbying aims to create rules that impose hurdles specifically on frontier model developers like Anthropic and OpenAI. This would theoretically give smaller companies and open-weights projects fewer constraints, allowing them to catch up, challenging the common view that regulation always entrenches incumbents.

In an unusual strategy, OpenAI provides its latest models to direct competitors. The company believes that a more competitive market accelerates learning and pushes them to improve faster. This long-term view prioritizes the overall distribution of intelligence over short-term competitive moats.

Frontier AI labs like OpenAI and Anthropic are not genuinely planning to slow development. Their public calls for regulation serve strategic purposes: virtue signaling, legal cover (CYA), and most importantly, 'monopoly masking'—pretending the market is more competitive than it is to avoid antitrust scrutiny of their emerging duopoly.

A central paradox of Anthropic's existence is that by successfully competing with OpenAI under the banner of safety, it has accelerated the very 'race dynamics' it was founded to mitigate. The intense competition has fueled a faster, more aggressive development landscape, potentially making the AI ecosystem more dangerous overall.

The AI development frontier is not set by the leader (OpenAI), but by the second and third-place competitors. A leader with a significant compute advantage is willing to pace development, but is forced to accelerate and release next-gen models only when challengers like Meta or Anthropic threaten to close the gap.