Scott Brennan

Overview

Scott Brennan is a researcher at the NYU Center on Technology Policy who translates electricity regulation and local political legitimacy into practical governance questions for AI data centers.

Current Profile

Across two Marketplace Tech interviews, Brennan argues that data-center growth depends on both utility rules and community trust. Public Utility Commissions can assign grid costs through approvals, rates, upfront payments, and long contracts, while host communities need tangible local value through taxes, mitigation, workforce investment, cleaner energy, or negotiated agreements.

His current position is conditional rather than anti-development: more data centers may be needed, but broad claims about innovation and competitiveness cannot substitute for credible delivery where costs are concentrated. Weak job histories and wider AI anxiety mean even generous offers may fail when communities do not trust developers to perform.

Key Characteristics

• Connects AI infrastructure policy to utility regulation, rate design, and protection against Data Center Cost Shifting.
• Distinguishes widely shared national benefits from locally concentrated electricity, environmental, noise, and property burdens.
• Supports measurable local returns such as taxes, mitigation funds, workforce development, cleaner power, and community benefit agreements.
• Treats limited agreement-evaluation evidence and unfulfilled job promises as reasons for caution.
• Frames developer-community conflict as a trust problem that financial concessions alone cannot solve.

Evidence

• Utility governance: The little-known regulatory bodies that can make or break AI data centers presents commissions, upfront payments, long contracts, and infrastructure approvals as mechanisms for protecting ordinary ratepayers.
• Local value and trust: Can data centers ever be good neighbors? records Brennan’s case for tangible community benefits while warning that agreement effectiveness is under-evaluated and larger offers can deepen suspicion.

Qualifications

Brennan’s examples identify policy options rather than a single proven template. The bounded sources do not independently evaluate the cited community agreements, local fiscal outcomes, survey trend, job record, or Indiana grant dispute. Cleaner or onsite generation can also create noise, pollution, and other tradeoffs.

What Changed

• Expanded Brennan’s profile from utility-regulation expertise to community-benefit and trust analysis.
• Added his distinction between diffuse national gains and concentrated host-community costs.
• Added his caution that larger incentives can be counterproductive after credibility has eroded.

Relationships

• NYU Center on Technology Policy - institutional home for Brennan’s technology-policy work.
• Public Utility Commissions - regulatory bodies central to his ratepayer-protection analysis.
• Data Center Community Consent - governance frame for tangible benefits, bargaining leverage, and trust.
• Enforceable Community Benefits - mechanism for converting developer promises into accountable local terms.
• Data Center Cost Shifting - utility fairness problem his regulatory analysis addresses.
• Data Center Backlash - political opposition his trust analysis helps explain.