Reboot Weekly: 10 Data Center Questions, Kazakhstan's AI Frontier, and Reimagining Universities

Reboot Weekly: 10 Data Center Questions, Kazakhstan's AI Frontier, and Reimagining Universities

Published on June 4, 2026

Summary

Deborah Stine outlines 10 questions about electricity demand, water use, workforce impacts, and community benefit agreements that communities should ask before construction begins. Gulnaz Kordanova examines Kazakhstan's rapid expansion from digital government into sovereign AI infrastructure, warning that gaps in connectivity, devices, and digital literacy could deepen inequality in the AI era. Anita McGahan argues that the most urgent AI-era leadership challenges in government are deeply human ones — psychological safety, honest feedback, and helping people perform under uncertainty. Debates over tech infrastructure continue, with David Eaves calling for interoperable cloud markets and the European Commission unveiling a digital autonomy package.

Upcoming InnovateUS Workshops

InnovateUS delivers no-cost, at-your-own-pace, and live learning on data, digital, innovation, and AI skills. Designed for civic and public sector, programs are free and open to all.

TUESDAY, JUNE 23 · 12:00 PM ET: Power, Place, and AI: Energy, Environment, and AI Data Centers With Laura Jay (Climate Mayors), Michael Jung (Oregon Data Center Advisory Committee), and Jessica Shirley (PA Department of Environmental Protection), moderated by Deborah Stine.

Part of the Elephants in the AI Room summer series.

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Also coming up:

  • June 11, 2:00 PM ET — Beyond Displacement: Building an AI-Ready Workforce
  • June 12, 2:00 PM ET — Prompting Lab: The Elements of a Good Prompt
  • June 25, 2:00 PM ET — Invisible Barriers: Disability Rights and Public Sector AI

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AI for Governance

AI for Governance

Leadership is About Setting Goals, Supporting the Team, and Getting Out of the Way

Anita McGahan on June 1, 2026 in Reboot Democracy

Drawing on InnovateUS’s Foundations of Leadership workshop series, Anita McGahan argues that the most urgent public-sector leadership challenges in the AI era are often deeply human ones: building psychological safety, creating real teams, giving honest feedback, aligning goals, and helping people perform under uncertainty and organizational change.

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AI for Governance

From Digital to AI-Enabled Government: Kazakhstan’s Next Frontier

Gulnaz Kordanova on June 3, 2026 in Reboot Democracy

Kazakhstan is rapidly expanding from digital government into sovereign AI infrastructure, national AI deployment, and AI-enabled public services. But as the country invests in supercomputers, data centers, and nationwide AI education, the piece argues that gaps in access to electricity, internet connectivity, devices, and digital literacy could deepen inequality in the AI era.

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Governing AI

Governing AI

Trump Signs Previously Shelved AI Executive Order

Ben Lennett on June 2, 2026 in Tech Policy Press

A new White House executive order creates an AI cybersecurity clearinghouse, launches classified benchmarking for “covered frontier models,” and expands federal AI-enabled cyber defense efforts. The framework also encourages frontier AI firms to share advanced models with the government before public release under a voluntary oversight system.

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Governing AI

Illinois Legislature Passes Historic AI Bill Requiring Third-Party Safety Audits

Brandi Vincent on May 27, 2026 in NBC News

Illinois lawmakers passed a landmark AI bill that would require frontier AI companies to publish safety plans, undergo annual third-party safety audits, and establish whistleblower protections. If signed, the measure would go further than existing AI laws in California and New York by making independent safety audits mandatory.

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AI and Public Engagement

AI and Public Engagement

Habermolt: Delegating Deliberation to AI Representatives

Joseph Low, Oscar Duys, Claude Formanek, Michiel Bakker, Lewis Hammond on May 27, 2026 in arXiv

This paper introduces “AI-delegated deliberation,” where AI agents participate in democratic discussions on behalf of human users. The researchers built a public platform called Habermolt to test whether AI representatives can scale participation while still accurately reflecting people’s views and allowing users to revise or correct outputs over time.

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AI and Public Engagement

The Use of Digital Tools and AI to Promote Citizen Participation in EU Policymaking

Bjørn Bedsted, Nicklas Bang Bådum, Aurelia Beiküfner, Bert Droste-Franke, Sissel Fibecker Ladegaard, Ulrich Hofmann, Henriette Kirch, Christiana Schümmer, Davy Van Doren, and Mayke Wißler on May 29, 2026 in European Parliamentary Research Service

Analyzing 94 civic participation tools and 11 in-depth case studies, the report distinguishes between the theoretical promise of civic technology and what actually works in practice. It highlights the importance of institutional responsiveness, procedural design, and safeguards around AI deployment, while outlining concrete policy options for connecting citizen input more directly to legislative action.

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AI Infrastructure

AI Infrastructure

Strengthening Europe’s Tech Sovereignty

Staff on June 3, 2026 in European Commission

The European Commission adopted a new tech sovereignty package aimed at reducing Europe’s reliance on non-EU providers for critical digital infrastructure, data, and technologies. The package includes Chips Act 2.0, the Cloud and AI Development Act, an EU Open Source Strategy, and a roadmap for digitalisation and AI in energy.

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AI Infrastructure

Research Radar: 10 Things Public Officials Should Know About AI Data Centers

Deborah Stine on June 2, 2026 in Reboot Democracy

Deborah Stine argues that AI data centers are becoming major governance challenges long before most communities are prepared to manage them. Drawing on fieldwork and recent research, she outlines ten questions public officials should ask about electricity demand, water use, workforce impacts, public trust, environmental risks, and community benefit agreements as AI infrastructure rapidly expands.

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AI Infrastructure

Parting Clouds: Creating a Competitive Marketplace for Compute

Curtis McCord and David Eaves on June 2, 2026 in Canadian Anti-Monopoly Project

This report argues that cloud sovereignty depends less on domestic ownership and more on interoperability. As Amazon, Microsoft, and Google dominate Canada’s cloud market, the authors call for portability standards, procurement reform, and utility-style regulation to reduce vendor lock-in and increase national agency over AI infrastructure.

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AI and Problem Solving

AI and Problem Solving

From NLP to LLMs to Agentic AI: The Evolution of Artificial Intelligence

Jim Samuel, Rajiv Kashyap, Vishal Misra, Abhishek Tripathi, Hieu Duc Nguyen, Mahmoud Daneshmand, and Alexander Pelaez on May 19, 2026 in Journal of Big Data and Artificial Intelligence

Published by the New Jersey Big Data Alliance, the Journal of Big Data and Artificial Intelligence combines technical research with broader reflections on how AI is reshaping strategy, education, healthcare, robotics, infrastructure, and labor. Throughout the volume, contributors examine both the practical advances that enable more capable AI systems and the societal questions emerging as these technologies move deeper into institutions and everyday life.

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AI and Education

AI and Education

The Scotsman: Scotland Uniquely Able to Redefine the Purpose of Universities, Obama Advisor Claims

Beth Simone Noveck on June 2, 2026 in The Scotsman / Reboot Democracy

Ahead of a University of Edinburgh event on democracy and AI, Beth Simone Noveck argues that universities should redefine success around public purpose and societal impact rather than financial metrics alone. She points to Scotland’s strengths in public engagement and higher education as a foundation for rethinking how institutions prepare students for an AI-driven world.

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AI and Labor

AI and Labor

Inside The Government’s Big Bet On Coordinating AI Workforce Readiness

Shalin Jyotishi on May 26, 2026 in Forbes

The National Science Foundation launched “TechAccess: AI-Ready America,” a nationwide initiative to coordinate AI workforce readiness across states and territories. The program will fund state AI coordination hubs focused on aligning education, workforce training, small business support, and local government AI adoption efforts.

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