Policy playbook outlines ways to curb Big Tech power and AI dominance

In short: A policy playbook argues governments should use a mix of competition rules, technical requirements, and public investment to reduce reliance on dominant tech platforms, including in AI.

What's going on

A growing set of policy proposals lays out a practical “playbook” for curbing the power of the largest tech companies. The core idea is to use several tools at once, instead of relying only on court cases after problems happen.

One major lever is stronger antitrust enforcement, meaning tougher rules to stop companies from crushing competitors or buying them up. Some proposals go further and suggest breaking up or structurally separating parts of dominant firms, and applying stricter reviews to mergers so markets do not become even more concentrated.

Another focus is interoperability and data portability. Interoperability means services should be able to connect to each other more easily, like how you can call across phone networks. Data portability means people should be able to move their photos, contacts, and posts to a rival service without starting from zero.

The playbook also targets “self-preferencing,” when a platform gives its own products an unfair advantage over businesses that depend on that platform to reach customers. Some proposals add up-front rules for “gatekeepers,” meaning large platforms that control key access points, so regulators can step in before markets tip too far.

Finally, it calls for public investment in alternatives, including open-source software (software anyone can inspect and improve), plus tax and procurement rules that reduce dependence on a few vendors. An AI-specific extension would apply these same competition tools to cloud and AI services, including limits on exclusive partnerships and fair access to essential computing power.

What to watch

Watch for whether lawmakers and regulators move from broad ideas to concrete rules, especially around interoperability, merger limits, and how these policies might apply to fast-growing AI services.

Source: NYTimes