AI For the C Suite® with Chad Harvey
AI for the C Suite® with Chad Harvey exists to unite, elevate, and equip CEOs, presidents, owners, and C-suite leaders to navigate the Exponential Age. Generative AI is the most disruptive general-purpose technology in a generation. The question is no longer whether it matters. It's what you do about it, in your business, with your people, on your timeline. Chad talks with operators, builders, and executives who have actually deployed AI, and breaks down what it cost, what worked, and what they'd do differently. Seventy-five-plus episodes in, this is a continuous learning and application experience for leaders who want decisions, not headlines.
Episodes
Most AI conversations in your organization are running on an assumption... that everyone in the room shares a working definition of the words being used. They don't. And the people least likely to say so are your most senior leaders.
This episode goes back to the foundation. Chad breaks down 15 essential AI terms across three categories: what the technology is, how it gets built, and what you as a leader actually have control over....
Dan Fernandez has spent his career standing between engineers building hard tech and executives deciding whether to trust it. In this episode, he joins Chad Harvey to unpack what mid-market leaders consistently get wrong about AI adoption—unpredictable costs, data privacy risks, vendor lock-in, and the real security implications of giving AI agents too much autonomy.
🎧 Watch the full episode here: https://youtu.be/tKXFhWXno...
Every general purpose technology rewrites the dictionary on its way to becoming invisible. Steam gave us "let off steam" and "sidetracked." Electricity reshaped how we talk about power. AI is doing the same thing right now, and if you know what to listen for, the vocabulary is one of the most honest signals you have about where this technology actually stands.
This episode is built around a three-part framework. First, how language...
Chad Harvey sits down with Sean Campbell, CEO of Cascade Insights and AI integration lead for the George Fox University MBA program, to explore what three decades of watching technology adoption teaches us about AI today.
They cover why Sean started teaching AI because he doesn't want students to get "run over," why developers are an early warning sign for every analytical profession, why judgment and delegation skills are so hard ...
OpenAI's Work at the Frontier report analyzed over 800,000 work-related messages from U.S. business users and found that 43% of occupation-specific AI tasks were performed by someone outside that occupation. For customer experience teams, that number hit 77%. For HR, 69%. For legal, 56%. The data tells a direction worth paying attention to.
Three categories of work travel the furthest: money, systems, and messaging. Your salespeopl...
Justin Watt, co-founder of Switchboard, joins Chad Harvey to explore why most AI initiatives fail — not because of the AI, but because of messy data, undocumented processes, and single-player thinking applied to multiplayer business problems. Justin shares his path from IBM to Metalab (Slack's design studio) to building custom internal AI systems for growing companies, and lays out a clear framework for what AI-readiness actu...
The FBI's Internet Crime Complaint Center logged more than one million complaints in 2025 for the first time in the program's 25-year history. Reported losses came in just under $21 billion, up roughly 25% year over year. Business email compromise alone accounted for over $3 billion — making it the most financially destructive threat category aimed specifically at organizations. And for the first time, the IC3 report carved o...
What happens to your personal brand when AI can write it better — and faster — than you can?
In Episode 1 of AI for the C-Suite, I sat down with Elizabeth Rosenberg, founder of The Good Advice Company and former Global Communications lead for Apple's creative agency and 72andSunny, to dig into one of the most pressing questions for senior leaders right now: how do you stay unmistakably you in a world wher...
Most leaders in middle-market organizations have already been exposed to AI. They've read the articles, seen the product launches, and typed something into a chatbot. The information has been there, night after night. The gap is not awareness. It's the refusal to turn that awareness on yourself and your organization specifically.
In this episode, Chad uses the premise of a family film — a flock of sheep who understand death i...
Alan Rambam, founder of EO4.AI, breaks down one of the biggest shifts in digital marketing right now — the rise of AI-driven search and what it means for your business visibility. Mid-market companies have a rare, time-sensitive opportunity to become the go-to source AI models cite in their category.
The window is closing.
We cover:
- Why Google's shift from "10 blue links" to AI-synthesized answers changes everything
- How A...
On June 12, 2026, the U.S. government issued an export control directive that forced Anthropic to take its two most advanced models offline — not just for foreign nationals, but for everyone. Within days, the most capable products that company makes had gone dark.
This episode unpacks what that event actually revealed about the AI stack most middle-market organizations are running today. The core issue isn't the specific dire...
Chad Harvey convenes the first-ever AI Super Friends roundtable — a live jam session with five practitioners who are building, deploying, and governing AI at the enterprise level right now.
In this episode: Mike Gadsby (Co-Founder & Chief Innovation Officer, O3 World), Arjun Raj Jain (Co-Founder, Pre.dev), Diego Morales (VP of AI, O3 World), Mike Urban (Chief Tech Ops Officer, Besteg), and Josh Friedman (Staff Engineer, O...
Four out of five companies in this country have not yet started using AI — not falling behind, not experimenting, not started. Meanwhile, AI capability is doubling at roughly the interval of a business quarter. That gap between two clocks on the same wall is not a crisis. For the leaders who understand it, it is a position.
In this episode, Chad introduces a Three-Dial framework for cutting through AI noise and reading the si...
Most organizations are trying to skip straight to AI orchestration — and it's costing them. Melissa Reeve, founder of HyperAdaptive Solutions and author of HyperAdaptive: Rewiring the Enterprise to Become AI Native, joins Chad Harvey to break down why the support structures that would actually make AI work are being skipped, what a real AI transformation roadmap looks like, and why giants will fall if they don't rewire n...
Most AI vendor evaluations collapse the layers for simplicity. This episode gives you a reason not to.
When two products run on the same underlying model but feel completely different in practice, most teams can't explain why. That confusion makes clean purchasing decisions harder, weakens your RFP, and leaves you reacting to demos instead of driving the evaluation. The answer comes down to architecture.
In this episode, Chad intro...
What if everything you've been told about getting started with AI is wrong?
In this episode, Chad sits down with Charlene Li — New York Times bestselling author, founder of Altimeter Group, and one of the most respected voices in business transformation — to challenge some of the most common assumptions leaders hold about AI adoption. Her new book, Winning with AI: The 90-Day Blueprint for Success (co-authored...
In your next vendor meeting, someone is going to say the word "agent" three or four times. You'll nod. Notes will get taken. And the word will do almost no actual work in the room. That's the problem this episode is built to solve.
Chad's Jargon Watch covers 15 terms that have crystallized in the last 90 days (including "harness") and is organized around three layers every C-suite leader needs to understand: architecture, failure m...
Most organizations have rolled out AI tools and called it a strategy. They've issued logins, run compliance training, and watched adoption numbers tick up — while the actual quality of the work stayed flat.
The problem isn't the tool. It's the mental model. If your people are treating AI like a search bar, they're only accessing a fraction of what's possible.
Geoff Gibbins has spent close to 20 years helping organizations fig...
Most executives using AI today have a posture problem. They treat the tool like an Oracle, a search engine, or a writing assistant. All three postures have you standing outside the tool, trading instructions over a wall. None of them are getting the job done.
In this episode, Chad unpacks the two commitments that define a working philosophy for using AI well. The first: AI is an extended cognition layer - an external component of y...
Most organizations in regulated industries aren't slow on AI because of compliance. They're slow because no one has decided to be brave enough to move.
In this episode, Chad sits down with Ondar Tarlow — a marketing executive who led AI adoption inside financial services organizations before most CMOs were willing to have the conversation. Ondar's team deployed propensity modeling and machine learning to identify the next bes...
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