AI Insights with Micah Gaudet

The AI revolution isn’t unfolding the way the headlines claim. New data from Pew, Gallup, OpenAI, and Anthropic reveals a far more contradictory story—one where rapid adoption collides with deep skepticism, and where AI’s most common uses are surprisingly ordinary.In this episode, we break down five findings that challenge the popular narrative:• Younger adults are the biggest AI skeptics.• Most AI use is mundane knowledge work, not sci-fi invention.• Users automate more but report higher satisfaction with collaborative AI.• AI use is consistent across jobs but radically different across countries and states.• Americans fear AI’s risks but overwhelmingly want more training—not more rules.Taken together, these insights reveal a public that’s uncertain, conflicted, and still figuring out how to integrate AI into daily life. The real story isn’t about the technology’s pace of change—it's about how we choose to use it.Find my work at www.civicinnovation.ai

In this episode, we explore how synthetic media—specifically deepfakes—are no longer just online hoaxes but are fast becoming a critical operational threat for emergency management. Drawing on Micah Gaudet’s piece “Deepfakes in Disasters: The New Operational Threat for Emergency Management,” we examine how disasters rely on speed, trust, and clear communication—and how manipulated audio-visual content can disrupt those foundations. linkedin.comWe discuss:Why deepfakes aren’t just about identity theft or memes—they may undermine the first hours of crisis response.How emergency operations built for clarity and coordination can be thrown off by credible but false imagery, false instructions, or mis-info timed to sow confusion.What public-safety and local government leaders must do now: build detection awareness, craft communication resilience, and update incident playbooks to include not just physical threats but synthetic media threats.Practical steps for cities and agencies to harden operations against deepfakes and regain control of trust when every second counts.If you’re responsible for public safety, emergency planning, city management, or simply want to understand how tech-driven risks are evolving faster than policy and training—this episode offers a clear wake-up call and a path toward preparedness.Follow my work at www.civicinnovation.ai

This episode breaks down a risk almost no one is talking about: what happens when AI works. Not when it fails—when it quietly reshapes judgment, accountability, and trust without anyone noticing. Micah Gaudet explains why AI’s “uninsured risk” isn’t bias or bad outputs, but the slow erosion of human oversight as organizations automate what used to depend on presence, discretion, and relationships. If you work in government, policy, or AI strategy, this will reframe how you think about risk—and what real stewardship looks like in an AI-driven world.Follow my work at www.civicinnovation.ai

AI promises to save us time—automating emails, summarizing meetings, and taking routine work off our plates. But history shows the opposite happens: every hour saved gets filled again. Productivity goes up, but rest, focus, and creativity go down.In this episode, we explore the paradox at the heart of modern work: why efficiency rarely leads to freedom. We unpack how our attention spans collapsed to 47 seconds, why busyness became a badge of honor, and how AI might quietly deepen the problem it’s supposed to solve.You’ll hear why the real challenge isn’t artificial intelligence—it’s our default settings. Because unless leaders protect the margin AI creates, the time it saves will vanish into noise, notifications, and shallow work.The question isn’t whether AI will make us more efficient. It’s whether we’ll use that efficiency with wisdom.www.civicinnovation.ai

Artificial Intelligence is reshaping how governments work—from automating services to predicting needs before they arise. But along with the promise of greater efficiency and accountability come real risks: bias, loss of transparency, and erosion of public trust.In this episode, we explore how cities and nations are using AI to improve decision-making, service delivery, and oversight—and what happens when they get it wrong. We’ll unpack what it means to build an “AI-ready culture” inside government, why trust—not technology—is the hardest part of adoption, and how new frameworks like the EU AI Act are reshaping the rules of the game.Join us as we look at the real-world tension between efficiency and ethics, and ask: can AI make government more human—or just more mechanical?Show Notes:⁠⁠AI in Government Newsletter⁠⁠⁠Learn more about Micah's work

Public sector AI is often sold like a sci-fi movie—glowing data lines, futuristic skylines, robotic hands. But the real barriers aren’t cinematic. They’re structural.In this episode, we unpack why AI in government still feels distant and unrelatable. The problem isn’t the tech—it’s the story we tell and the systems we ignore. We explore why the real goal isn’t to master AI, but to use it quietly and effectively to serve people better.From OpenAI’s simple, human-centered ads to the hard reality of budgets, procurement, and job descriptions, we trace how to make AI belong in daily work. The takeaway: innovation doesn’t mean flashier tech. It means making AI as normal—and as boring—as a spreadsheet.Show Notes:⁠⁠AI in Government Newsletter⁠⁠⁠Learn more about Micah's work

AI-generated summaries at the top of search results are quietly reshaping how residents get their information. Instead of clicking through to articles—or even city websites—many stop at the AI overview. That behavior shift is collapsing referral traffic for publishers and raising new challenges for local governments that depend on clarity, accuracy, and trust.In this episode, we focus on the implications for cities and towns:Why declining clicks to local media outlets matter for civic accountability.How AI overviews could misrepresent policies, notices, or emergency information.What residents’ demand for speed and simplicity means for government communication.Strategies local governments can adopt—like machine-readable data, direct channels, and trust-building—to stay visible and credible in an AI-first search world.Why the real issue isn’t just AI, but changing resident expectations shaped by years of frustration with cluttered news sites.The zero-click future is already here. Local governments must decide whether they will be left out of the conversation—or become the trusted answer residents find first.Show Notes:⁠AI in Government Newsletter⁠Learn more about Micah's work

OpenAI’s GPT-5 is here—and it changes more than you think. While the leap from GPT-4 to GPT-5 may look incremental, the impacts on government workflows, prompting strategies, and governance are anything but small. This episode unpacks what GPT-5 actually brings: router-style architecture, verbosity and reasoning controls, free-form function calling, improved memory, reduced hallucinations, and more proactive “it just does stuff” behavior.We also examine why these changes matter for local government. From disrupted automations to the need for explicit prompting strategies, GPT-5 requires a shift in mindset: treat it as infrastructure, not novelty. Learn practical ways to manage governance, set boundaries, and unlock higher-quality outputs by using verbosity settings, reasoning levels, rubrics, and the “router mindset.”If you work in or with government, this episode gives you the briefing you need to understand both the risks and opportunities of GPT-5.Show Notes:SGR Wednesday Webinar: Unlocking the Power of GPT-5AI in Government LinkedIn Newsletter: Prompting GPT-5 in Local Government: Length, Voice, and the Router MindsetLearn more about Micah's work

AI is transforming public governance—streamlining operations, reshaping service delivery, and opening new possibilities for accountability and oversight. But alongside these opportunities come profound risks: bias, privacy breaches, transparency gaps, and declining public trust. In this episode, we unpack the dual role of government as both regulator and user of AI, drawing on global examples from Finland to Brazil. We explore what an “AI-ready culture” looks like, why efficiency alone isn’t enough, and how policies like the EU AI Act are setting the stage for trustworthy adoption. The central question: how can governments harness AI without eroding the human judgment and civic trust that keep democratic systems alive?Read the LinkedIN Newsletter AI for Government: Link

This episode unpacks Micah Gaudet’s argument that AI is not just another efficiency tool for city halls—it’s more like a new species introduced into an ecosystem. Drawing from his book Fragile Systems: An Ecological Approach to AI in Government and supporting articles, Gaudet warns that the greatest danger isn’t AI failure, but misalignment: when the technology’s outputs don’t fit the true goals of governance.Key themes include the “efficiency illusion,” the risk of overlooking systemic impacts, and why efficiency alone doesn’t build public trust. Gaudet calls for a reframing of AI adoption—away from speed and cost-savings, toward questions of legitimacy, stewardship, and relationships. Practical guidance includes using demos not just to test functionality but to sense organizational impact, creating space for deeper human engagement, and redefining AI’s purpose to support staff, residents, and elected officials alike.For leaders navigating AI adoption, this episode offers a crucial perspective: governments aren’t machines to tune, but living systems of trust and discretion. Integrating AI responsibly means tending that ecosystem, not hollowing it out.Fragile Systems: An Ecological Approach to AI in GovernmentLearn more at www.civicinnovation.aiConnect with Micah on LinkedIn

This episode dives into Micah Gaudet’s pragmatic approach to generative AI in city halls and counties, built around the idea that AI is no longer a side project—it’s an indispensable tool for everyday governance. Drawing from his book 1001 Prompts for Unlocking Generative AI in Local Government and his article Stop Worshipping Perfect Prompts, Gaudet outlines how to move past the obsession with “perfect prompts” and focus instead on outcomes, staff support, and citizen services.Key themes include starting with decisions rather than topics, layering prompts like an interrogator, embedding “city DNA” for context, and iterating quickly rather than polishing endlessly. Real-world use cases—like HR policy bots, budget anomaly detection, and smarter planning reports—illustrate how governments can gain extra capacity without overtime while keeping solutions aligned with public sector values.For public agencies looking to adopt AI responsibly, this episode provides a clear, actionable roadmap: stop chasing flawless prompts, start chasing progress, and use AI to better serve both staff and community.Learn more at www.civicinnovation.aiConnect with Micah on LinkedIn

This episode examines how AI is reshaping local government operations—and why we may be entering a “post-Google search age.” Drawing on real-world use cases from Civic.AI, we look at how advanced tools like Perplexity AI are shifting from being simple “answer engines” to acting as on-demand analysts. With features like live citations, audit trails, and transparent sourcing, these tools promise governments new ways to streamline workflows, strengthen public trust, and create extra capacity without overtime.Key examples include HR policy chatbots that provide instant, consistent answers to staff questions, AI-driven budget anomaly detection, and the use of Perplexity Labs to build procurement policies or grant analyses in minutes, complete with references. The episode highlights both the strategic upsides—rapid prototyping, transparency from the first draft, and staff support—and the practical guardrails needed to ensure AI adoption aligns with public sector values.For local governments navigating tight budgets and talent gaps, this episode shows how AI can act as a junior policy aide, helping agencies do more with less while keeping trust and accountability at the center.Learn more at www.civicinnovation.aiConnect with Micah on LinkedIn

This episode explores Micah Gaudet’s argument for treating public institutions not as machines to be tuned but as living systems to be tended. Drawing from his book Fragile Systems and article Faster Toward What?, Gaudet challenges the prevailing narrative that “faster is always better” when it comes to AI in government. Instead, he makes the case that trust—not efficiency—is the foundation of healthy civic life.Key themes include the value of ecological fit, the importance of protecting “generative time” for staff, and why friction in public processes isn’t always failure but often a safeguard. Gaudet also redefines AI procurement as ecosystem design, urging leaders to evaluate technology by how it strengthens relationships, preserves judgment, and builds long-term resilience.For local governments considering AI adoption, this episode offers a framework rooted in stewardship, equity, and public trust—an alternative to efficiency-obsessed metrics that often overlook what truly matters.Learn more at www.civicinnovation.aiConnect with Micah on LinkedInNewsletter Edition

AI isn’t just for big cities with research departments — smaller governments can use it right now to make faster, better decisions. In this episode of AI Insights with Micah Gaudet, we explore how deep research tools like ChatGPT, Perplexity, and Google Gemini can help local governments analyze data, compare policies, and improve workflows.You’ll learn:Why structured prompts are the key to reliable results.How to choose the right AI tool depending on whether you need detail, numbers, or broad overviews.Practical examples, from spotting budget anomalies to speeding up permit approvals.How Civic.AI helps agencies move from research to action with real-world AI solutions.Based on my LinkedIn newsletter AI for Government and created with NotebookLM, this episode shows how any local government — especially those under 100,000 residents — can start using AI for meaningful impact today.Connect with me on LinkedIn: linkedin.com/in/micahgaudetLearn more at: www.civicinnovation.aiNewsletter Edition: https://www.linkedin.com/pulse/practical-guide-using-ai-deep-research-tools-local-micah-gaudet-hxmdc/?trackingId=f7Gz%2F1QuS1mQ1Lggy6%2BagQ%3D%3D