Alex Bores Wants Democrats to Make AI Safety a 2028 Election Issue

Billy Odell Tucker-Robinson Founder & Host — Banking With Billy Network • Intelligence Network • Data Science • AI Research • World News
Published: 2026-09-15T09:05:44.317Z • Permanent link

Alex Bores, a Democrat who lost a congressional primary contest centered on A.I. regulation, is attempting to reposition himself at the forefront of the national conversation about artificial intelligence before the 2028 presidential election. Bores, who ran for the seat in California's 39th Congressional District, was defeated by Republican Nancy Krasnow, a former executive at the tech firm, NVIDIA.

Bores' primary campaign focused on the need for stricter regulations on the development and deployment of artificial intelligence. His campaign used data and research to argue that A.I. posed significant risks to national security, economic competitiveness, and individual rights. The campaign generated significant media attention, with Bores' proposals being covered by major outlets such as The New York Times, CNN, and Forbes.

Bores has been quietly building a network of supporters and allies, including experts from academia, industry, and government. These individuals have been providing him with data and insights that he can use to inform his policy proposals. For example, a recent report by the Brookings Institution found that the U.S. could lose up to 40% of its jobs to A.I. by 2030 if left unchecked. Bores has been using this data to argue that his proposals for A.I. regulation are necessary to protect American workers and ensure that the benefits of A.I. are shared equitably.

The growing conversation about A.I. regulation has significant implications for the U.S. economy, particularly in the tech sector. Companies such as Google, Amazon, and Microsoft have already begun to develop and deploy A.I. systems that have the potential to disrupt entire industries. For example, Google's AlphaGo system defeated a human world champion in Go in 2016, demonstrating the power of A.I. to challenge human expertise. The deployment of A.I. systems such as these has significant implications for companies such as Uber, which is using A.I. to optimize its ride-hailing service.

The growing conversation about A.I. regulation also has significant implications for the U.S. government. The U.S. has been slow to develop a comprehensive A.I. policy, despite the fact that A.I. is becoming increasingly important to the U.S. economy. The lack of a comprehensive A.I. policy has created uncertainty and confusion among companies, researchers, and policymakers. For example, the U.S. National Science Foundation has provided funding for A.I. research, but the agency has not developed a clear strategy for regulating the development and deployment of A.I. systems.

The growing conversation about A.I. regulation is part of a larger pattern of increasing scrutiny of the tech sector. The rise of social media companies such as Facebook and Twitter has created significant concerns about the spread of misinformation and the impact of A.I. on democracy. The U.S. government has responded to these concerns by launching a series of investigations and hearings, including a recent investigation by the House Judiciary Committee. The investigation found that Facebook had failed to adequately protect user data, and that the company's use of A.I. had contributed to the spread of misinformation.