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. Eighty-plus episodes in, this is a continuous learning and application experience for leaders who want decisions, not headlines.
Episodes
What do you believe?
Two conversations keep arising when AI is discussed. The first focuses on the people building AI who are confident the next 36 months will reshape knowledge work. The second is typified by sharp, well-read clients who believe that it's simply a better search engine and the rest is hype.
Chad's view is that the distance between those two positions is a signal, and he calls it the belief gap. In this episode he a...
Who owns AI in your organization—and what does ownership actually involve?
Chad Harvey welcomes Matt Symes, CEO of Symplicity Designs, to AI for the C-Suite to explore the leadership, workforce, and financial questions behind AI adoption.
Matt runs a portfolio of nine companies across Atlantic Canada. In the AI transformations he leads, AI reports to HR rather than IT. His argument: when you redesign a workflow around people ...
McKinsey's 2026 State of AI survey found that 80% of respondents say AI has improved their personal productivity. Thirty-seven percent of their companies can see it in operating profit. Six percent qualify as what McKinsey calls high performers. Same survey, same companies, same year. That gap is not a data error. It is the central question facing every operator who has been trying to figure out how fast to move.
In this episode, C...
When should a company use artificial intelligence, and when is traditional automation the better answer?
Chad Harvey speaks with Bhaskar Jayakrishnan, Senior Vice President of Engineering for Customer Experience at Cisco, about the practical realities of deploying AI at enterprise scale.
Bhaskar explains why organizations should begin with the problem rather...
Click here for the expanded article titled Claude vs ChatGPT Memory Decoded: Neither One Is a Record. It contains additional information and is a companion piece to this episode.
Both Claude and ChatGPT shipped major memory upgrades over the summer of 2026, and neither company explained them particularly well. The result is a wave of reasonable but incorrect assumptions, including the belief that unified memory might finally ...
Zoher Karu spent 25 years running data and analytics at eBay, Citi, and Blue Shield of California — and he says the hardest part of AI has never been the technology. In this episode, Zohar breaks down why most AI pilots fail, why "just point AI at it" is a fallacy, the concept of model drift, why 90% of the world's data is private and untapped, and how leaders can start making smarter decisions at scale instead of chasing shi...
When the CEO of one of the world's leading AI labs publishes an essay arguing his own industry needs to slow down, most coverage treats it as a headline about Washington and San Francisco. It is not. It is a signal with direct implications for how you are pacing your own organization.
Chad breaks down what Dario Amodei actually argued in "We Must Pace the Frontier" including the recursive self-improvement concern, a documented inci...
AI transformation does not usually fail because of the technology. It fails because organizations overlook the people, processes, and leadership required to make it work.
Ross Barnes joins Chad Harvey to discuss why artificial intelligence affects every corner of an organization, how shadow AI creates hidden risks, and why companies must raise the floor before attempting to raise th...
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...
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