---
title: Who is ‘Taking Over The World’? Businesses Face Regulatory Uncertainty in the AI Gold Rush
description: US AI policy shifts leave firms navigating a patchwork of state rules and EU AI Act demands. Explore compliance, liability and strategy as oversight recedes.
author: Darie Nani (Editor-in-Chief)
date: 2025-09-23T05:56:51.000Z
updated: 2026-03-04T20:39:38.825Z
canonical: https://www.sovereignmagazine.com/article/who-is-taking-over-the-world-businesses-face-regulatory-uncertainty-in-the-ai-gold-rush
image: https://cdn.nanimediahouse.com/59145fe3-4c5f-4dd6-87a3-1eb0c2b77569.jpg
categories: Artificial Intelligence
content_type: Analysis
region: United States
publication: Sovereign Magazine
---

When the President of the United States publicly admits he doesn’t understand what tech bosses are doing with AI – and hopes they do – it signals a critical inflection point for American business. Trump’s blunt [18 September comments at a UK tech summit](https://www.reuters.com/business/taking-over-world-trump-says-he-hopes-ai-bosses-know-what-theyre-doing-2025-09-18/) reveal the regulatory vacuum facing companies racing to integrate artificial intelligence.

“They’re sort of [taking over the world](https://www.sovereignmagazine.com/article/navigating-the-ai-investment-paradox-as-world-leaders-start-questioning-tech-s-2-trillion-bet),” Trump said of AI company executives. “I hope they know what they’re doing.” The president’s candid uncertainty comes eight months after his administration wiped away Biden-era AI safety measures, leaving businesses to navigate a patchwork of emerging state regulations while federal oversight recedes.

[rail safety technologies](https://www.sovereignmagazine.com/article/tesla-s-railroad-crossing-blind-spot-exposes-a-multi-billion-dollar-safety-tech-gap) mirrors broader [global efforts to establish unified AI governance frameworks](https://www.sovereignmagazine.com/article/global-summit-in-washington-eyes-new-rules-for-ai-what-businesses-should-watch), creating additional complexity for international businesses operating across multiple jurisdictions.

## The Deregulation Gambit

Trump’s broader AI strategy became clear on his first day in office this January. [The administration rescinded Biden’s 2023 executive order on AI safety](https://apnews.com/article/trump-ai-repeal-biden-executive-order-artificial-intelligence-18cb6e4ffd1ca87151d48c3a0e1ad7c1) (EO 14110) and replaced it with a new directive titled “Removing Barriers to American Leadership in Artificial Intelligence.”

Trump’s approach prioritises deregulation and innovation over Biden’s emphasis on oversight and risk mitigation. [Federal agencies received orders to suspend policies](https://www.squirepattonboggs.com/en/insights/publications/2025/02/key-insights-on-president-trumps-new-ai-executive-order-and-policy-regulatory-implications) inconsistent with the deregulatory approach, removing requirements like mandatory safety testing submissions by AI developers.

The regulatory landscape grew more complex in July when [the US Senate struck down provisions](https://www.reuters.com/legal/government/us-senate-strikes-ai-regulation-ban-trump-megabill-2025-07-01/) that would have prevented states from enacting AI regulations. This opened the floodgates for state-level oversight, creating the fragmented regulatory environment businesses now face.

The president’s recent candid admission adds to ongoing [controversy over AI safety practices at major tech firms](https://www.sovereignmagazine.com/article/controversy-erupts-over-safety-of-ai-models-in-top-tech-firms), highlighting the gap between rapid technological advancement and regulatory understanding.

## Business Implications and Legal Risks

Companies implementing AI systems must now navigate conflicting regulatory pressures. While federal oversight diminishes, state-level rules are proliferating. [California’s new workplace AI regulations](https://www.forbes.com/sites/alonzomartinez/2025/09/19/californias-no-robo-bosses-act-could-reshape-workplace-ai-rules/) take effect 1 October, requiring employers to give 30 days’ written notice before deploying automated decision systems and retain related data for four years.

The legal profession is experiencing unprecedented demand for AI compliance expertise. [Specialist AI commercial lawyers report surging business](https://www.twobirds.com/en/capabilities/artificial-intelligence/ai-legal-services) as companies seek guidance on regulatory compliance, liability management and contractual frameworks around AI deployment.

This surge in regulatory activity reflects broader [federal oversight initiatives targeting AI deployment](https://www.sovereignmagazine.com/article/ftc-s-ai-crackdown-signals-new-era-of-enterprise-technology-oversight) across various sectors, creating additional compliance burdens for businesses.

Professional liability concerns are mounting. [Legal advisors face significant risks](https://legal.thomsonreuters.com/blog/the-key-legal-issues-with-gen-ai/) when implementing AI in business operations, including ethical obligations around competence and confidentiality, accuracy requirements and malpractice liability exposure.

Estate planning professionals are adapting too. [Your will is a legal document](https://www.mergenlaw.com/) that increasingly requires consideration of digital assets and AI-generated content – adding another layer of complexity to traditional legal services.

## The Compliance Crossroads

Businesses building AI infrastructure face strategic decisions without clear federal guidance. The deregulatory approach at federal level contrasts sharply with international moves towards stricter AI regulation, particularly the EU AI Act, creating compliance challenges for companies operating globally.

Internal compliance programmes are becoming essential. Companies must conduct thorough risk assessments, implement continuous monitoring systems and maintain detailed documentation of AI system deployment and decision-making processes.

The [Trump administration’s AI Action Plan](https://www.seyfarth.com/news-insights/trump-administration-releases-ai-action-plan-and-three-executive-orders-on-ai-what-employment-practitioners-need-to-know.html) emphasises American leadership over safety guardrails, but businesses cannot ignore liability risks. This approach comes amid increasing [international competition in AI development](https://www.sovereignmagazine.com/article/china-s-deepseek-takes-on-us-tech-giants-what-this-means-for-project-stargate), particularly from Chinese firms challenging US technological dominance.

Professional-liability insurance coverage for AI-related claims remains uncertain, with gaps in coverage creating additional exposure. Legal experts recommend companies establish clear AI governance frameworks now, including data licensing protocols, bias testing procedures and human oversight requirements for automated decision-making systems.

Trump’s honest uncertainty about AI may be refreshing, but it leaves American businesses charting their own course through an increasingly complex regulatory maze. [Companies investing in proper legal guidance](https://www.sovereignmagazine.com/article/california-s-ai-safety-law-creates-new-business-compliance-challenge-what-companies-need-to-k) and compliance frameworks now will be best positioned as rules inevitably catch up to the technology – whether those rules come from Washington, state capitals or overseas regulators demanding compliance from global operators.

The path forward requires careful consideration of [comprehensive AI policy frameworks](https://www.sovereignmagazine.com/article/how-the-next-us-president-should-handle-ai-and-automation) that balance innovation with responsible deployment, ensuring American businesses can compete globally while managing emerging risks effectively.

This approach comes amid increasing [international competition in AI development](https://www.sovereignmagazine.com/article/anthropic-s-1-5bn-deal-shows-the-real-liability-isn-t-model-training-it-s-the-central-library), particularly from Chinese firms challenging US technological dominance.

[AI transparency law](https://www.sovereignmagazine.com/article/california-s-ai-transparency-law-tackles-the-hidden-crisis-of-model-reliability) marks a pivotal step in transforming AI reliability and safety from voluntary best practices to enforceable legal standards.

[AI investment – especially evident in customer service technologies](https://www.sovereignmagazine.com/article/how-the-boe-s-ai-bubble-warning-could-transform-uk-business-tech-strategy) may signal mounting risks for businesses, as recent financial and regulatory warnings highlight the potential for a bubble analogous to earlier tech cycles.

[vacation rental industry](https://www.sovereignmagazine.com/article/how-ai-is-becoming-the-new-weapon-in-america-s-war-on-illegal-vacation-rentals) may soon disappear, with AI promising continuous, near-total monitoring. Property owners and managers who adapt quickly to this new enforcement environment will gain a significant competitive edge, as AI-driven compliance becomes the new norm across the sector.

[AI governance frameworks](https://www.sovereignmagazine.com/article/uk-businesses-face-ai-governance-crisis-as-risk-management-lags-behind-investment) now will be best positioned for trust, compliance, and sustainable AI growth, while laggards risk significant operational and regulatory consequences as enforcement tightens through 2026.

This [regulatory void](https://www.sovereignmagazine.com/article/australia-s-self-driving-car-laws-lag-behind-technology-leaving-traffic-engineers-in-the-dark) for at least three years. [The global gaming industry](https://www.sovereignmagazine.com/article/why-the-gaming-industry-s-next-big-winners-will-be-those-who-master-local-rules) faces similar challenges, where mastering local rules and regulatory compliance is now a critical factor for success beyond technology itself.

This marks a significant escalation in both the role of technology and the amount of [political spending](https://www.sovereignmagazine.com/article/ai-firms-fund-opposing-sides-of-us-regulation-fight), as AI systems are deployed to optimize campaign messaging, target voters, and allocate resources with unprecedented efficiency.