As Congress weighs regulating AI, consumer advocates and the tech industry converge on Washington, DC to influence US lawmakers, most of whom lack AI expertise
After years of inaction on Big Tech — and the explosive success of ChatGPT — lawmakers aim to avoid similar mistakes with artificial intelligence Tweets: @washingtonpost and @carnage4life Tweets: @washingtonpost : After years of inaction on Big Tech — and the explosive success of ChatGPT — lawmakers aim to avoid similar mistakes with artificial intelligence https://www.washingtonpost.com/ ... Dare Obasanjo / @carnage4life : Can't wait to see the utter fiasco of Congress trying to regulate AI when they've failed to understand let alone regulate more straightforward tech like social media and crypto. 🍿😎 https://www.washingtonpost.com/ ...
Context & Ripple Effects
This story lands after a year of visible stalling: back in March 2023, few US lawmakers were acting on AI at all, with many struggling to grasp the technology while the EU had already proposed rules. By September, Congress had at least convened the Senate's AI Insight Forum, where Musk warned of catastrophic risk and Zuckerberg defended open source — but the room agreed only that regulation should happen, not what it should be.
What changed now is the arrival of organized persuasion from both flanks: consumer advocates and the tech industry are converging on Washington to fill the expertise vacuum themselves. That matters because the industry's own voices are split — Sam Altman invited regulation while executives like Box's Aaron Levie argued the US shouldn't rush the way the EU did — so whose framing lawmakers absorb is genuinely up for grabs.
First-order effects
- Congress becomes the venue where two lobbying campaigns compete directly for the shape of the first US AI rules, with consumer advocates pushing for guardrails and industry voices like Levie arguing against an EU-style rush.
- Lawmakers without AI expertise must choose between expert framings supplied by the very interests being regulated, making briefing materials and testimony the primary battleground rather than draft legislation.
Second-order effects
- The internal industry split hardens into rival lobbying blocs: labs aligned with Altman-style regulatory invitations versus executives resisting fast-moving rules, each courting the same inexperienced committee members.
- Open questions aired at the Insight Forum — Zuckerberg's open-source defense against Musk-style risk warnings — get re-litigated as lobbying positions, pulling foundations models and open-source policy into the same legislative fight.
Third-order effects
- If the expertise gap persists, US AI regulation risks being drafted by whichever coalition writes the best explainers — a structural capture dynamic that contrasts with the EU's earlier, more top-down rulemaking.
- Partisan fracture compounds this: the later rift over AI and data centers between pro-business Democrats and the progressive wing suggests any eventual US framework will be negotiated across party economics, not just technical merit.
The trend: US AI policy is emerging as a lobbying contest fought inside an expertise vacuum, producing slower, interest-shaped rules than the EU's model.