In a bustling Minneapolis conference center on June 14 2026, more than 600 public‑utility regulators, legal counsel, and industry observers gathered for the Mid‑America Regulatory Conference (MARC), a forum that spotlighted the sharp decline in public trust toward artificial intelligence (AI) and the mounting call for greater transparency from AI‑focused data‑center developers.

The meeting was part of the National Association of Regulatory Utility Commissioners’ (NARUC) 2026 regional conference series, which also hosts the New England Conference of Public Utilities Commissioners, the Southeast Association of Regulatory Utility Commissioners, and the Western Conference of Public Service Commissioners. According to the Star Tribune, the Minneapolis event set a record attendance and raised questions about the ethics of regulators accepting money from the companies and interest groups they oversee.

Central to the dialogue was the negative public sentiment that has emerged over the past year. The Stanford AI Index 2026 report and an Ipsos AI Monitor released on June 2 2026 both indicate that excitement about AI is now matched by nervousness, with trust gaps widening between experts and the public. The Index cites an uptick in AI‑related incidents, job‑disruption fears, and weaker transparency claims, all contributing to a souring perception.

Experts at MARC urged data‑center developers to reduce secrecy. They pointed to the AI Data Center Site Selection Transparency Act of 2026, a federal bill that requires developers of AI‑focused data centers to disclose certain information before construction begins. The act is intended to give regulators and communities better insight into the environmental and economic impacts of new facilities.

The conference also examined the role of activist Erin Brockovich, who launched a crowdsourced website in May 2026 that maps AI data‑center sites across the United States. Brockovich’s platform aims to increase transparency and enable local communities to voice concerns about energy use, water consumption and other environmental effects.

Alongside transparency, regulators called for financial concessions from developers. The proposal suggests that developers negotiate tax incentives, grid‑use agreements and other financial arrangements that could mitigate strain on local utilities and reduce opposition to new facilities.

Several speakers also addressed the ethics of regulators soliciting money from regulated entities. They emphasized the need for clear rules to prevent conflicts of interest when regulators receive payments or other benefits from the companies they oversee.

While the conference did not produce new legislation, it set the stage for future policy discussions. The AI Data Center Site Selection Transparency Act remains under review, and the conversation at MARC indicates that regulators will push for stronger disclosure requirements and more robust community engagement.

The focus on public sentiment, data‑center transparency and regulatory ethics reflects a broader trend in the AI industry. As companies like OpenAI and Anthropic prepare for public offerings, negative sentiment could influence investor confidence and election politics, according to reports from April 2026. Regulators are therefore keen to address the trust deficit while ensuring that AI infrastructure can grow responsibly.

In summary, the Mid‑America Regulatory Conference underscored the urgency of improving transparency around AI data‑center development, aligning financial incentives with community interests, and establishing ethical guidelines for regulator‑company interactions. The outcomes of these discussions will shape the regulatory landscape for AI infrastructure in the United States over the coming months.