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Chronicles

The story behind the story

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Effective global AI governance will not stand a chance sans collaboration with tech companies and policymakers agreeing on basic principles for how to govern AI

Before It's Too Late?

Foreign Affairs

Context & Ripple Effects

This is an early articulation of the coordination problem at the center of AI policy: rules need technical input from the firms building and deploying the systems, while governments need enough shared ground to make those rules interoperable.

Later coverage shows why that premise has remained difficult to implement: lawmakers face fast-moving technology and institutional knowledge gaps, while international rulemaking has become a contest among states, companies, and lobbyists seeking to shape the policy agenda.

First-order effects

  • The article puts joint baseline-setting—not isolated national rulemaking or voluntary corporate policy—at the center of credible global AI governance.
  • It raises the practical burden on technology companies and policymakers to translate broad principles into mutually legible governance processes.

Second-order effects

  • Firms that can participate constructively in standards-setting gain more influence over how compliance expectations are defined; governments without comparable technical capacity risk relying more heavily on industry input.
  • Divergent national approaches become harder to reconcile when basic principles are not shared, reinforcing the policy fragmentation highlighted by international competition over AI regulation.

Third-order effects

  • If collaboration produces durable common principles, governance could increasingly function as a condition of cross-border AI deployment rather than a purely domestic compliance exercise.
  • If it does not, AI policy is more likely to split among competing political and regulatory blocs—a tension later reflected in calls for a democratic international AI coalition.

The trend: AI governance is shifting from abstract calls for safeguards toward a contest over who sets interoperable rules and how much formal influence AI companies have in setting them.

Discussion

  • @mustafasuleyman Mustafa Suleyman on x
    governing ai over the next few decades is going to take unprecedented cooperation - and fast... my thoughts in a new @ForeignAffairs article co-authored w/ @ianbremmer out today https://www.foreignaffairs.com/ ...
  • @joshgellers Josh Gellers on x
    This is a must-read article if you are interested in #AI and global governance. It covers a lot of ground and more thoroughly than the AI “experts” who don't know foreign policy. Read it here: The AI Power Paradox https://www.foreignaffairs.com/ ... via @ForeignAffairs
  • @ianbremmer Ian Bremmer on x
    essential reading: my new @foreignaffairs piece w/ @mustafasuleyman we tackle the existential question on all our minds: can the world come together to govern ai before it's too late? https://www.foreignaffairs.com/ ...
  • @cwilstrup Casper Wilstrup on x
    @ForeignAffairs ... It is illegal to use AI to do illegal things. Why do we need any other regulation of AI than that? If we want to, we can make more things illegal. For example: If face scanning in public should be illegal (it should and mostly is), does it matter if it is done…
  • @esyudkowsky Eliezer Yudkowsky on x
    @ForeignAffairs ... Some existing AI companies and many AI startups are utterly intransigent. Governments either need regulatory hammers powerful enough to deal with intransigents, or cede control to whatever the looniest group with a thousand H100s feels like doing. Furthermore,…
  • @cturnerfcdo Christian Turner on x
    An excellent contribution to the AI governance debate, arguing for three overlapping regimes👇 (& reinforcing importance of 🇬🇧AI Safety Summit this autumn)
  • r/politics r on reddit
    The AI Power Paradox: Can States Learn to Govern Artificial Intelligence—Before It's Too Late?