Artificial intelligence is the subject your audience most wants to understand and the one most speakers understand least. Greg McNeal is on the short list who actually do, because he has built it, governed it, and taught it, not just talked about it.
He invested in, sat on the board of, and helped run as a fractional executive SailPlan, a maritime AI company sold in 2026. He sits on the board of Exyn Technologies, a Nasdaq-listed autonomy, robotics, and AI company. At Pepperdine he teaches AI governance and privacy law and is writing a casebook on the subject, and he serves on his university’s AI Steering Committee. When companies or reporters need AI explained without the hype or the doom, he is who they call.
The short version: This is an AI keynote for people who have to make decisions, not collect predictions. Greg has built, governed, and taught the technology, so the talk separates what AI actually does now from the hype and the doom, names where the real advantage and the real risk sit, and sends every person in the room out with a call they can make on Monday.
What the talk delivers
Most AI keynotes fail in one of two directions. The futurist version is all vision and no substance, a sizzle reel of what might happen with nothing an audience can use on Monday. The doom version is all risk and no path, so everyone leaves anxious and no one leaves equipped. Greg’s keynotes do the harder thing. They tell the audience what AI actually does right now, where it creates real advantage, where it creates real risk, and how to tell the two apart.
That comes from a specific point of view. Greg is pro-innovation and clear-eyed about it. He has watched the technology from inside the companies building it and from the law school where the rules get written, and he is skeptical of both the people selling AI as magic and the people who want to regulate it into the ground. Audiences trust that, because it sounds like someone who has had to make real decisions, not someone performing an opinion.
Built for three rooms
For executives and operators, the talk is about where AI creates advantage and where it creates exposure, and how to invest without betting the company on a hype cycle. For boards and senior leaders, it is about governing AI responsibly without smothering the products it is meant to protect, drawn from his work as a public-company director and a governance scholar. For broad audiences, it is about what AI means for work, for trust, and for the way we live, delivered by someone who builds it and teaches the law that governs it.
What audiences take away
A clear read on what today’s AI can and cannot do for their business. A way to separate the tools worth adopting from the ones that are demo-ware. A plain-English understanding of where the legal and reputational risk actually sits, which is rarely where the headlines say it is. And a sense of calm competence instead of either blind enthusiasm or dread. The test is the hallway afterward. If people are still arguing about a point an hour later, the talk worked.
Formats
Greg delivers AI keynotes for corporate summits, industry and association conferences, and university events, in person and virtual. He also runs longer workshops for boards and leadership teams that want to move from a talk to a plan, and he moderates panels and serves as an emcee when a program needs a credible voice holding it together.
Why him over a futurist
A futurist guesses. An operator and a scholar tell you the truth. Greg has co-founded and sold a technology company, sits on a public-company AI and robotics board, and teaches the law coming for every AI system in the room. He has spent twenty years making complex technology make sense on national television, which is the same skill a great keynote demands: clarity, pace, and a point of view the audience can push on. If your audience is trying to make sense of AI and what to do about it, that is the talk.
Why a practitioner gives a different talk than a pundit
Most people on the AI speaking circuit have read about the technology. Greg has had to live with the consequences of building it. He invested in, sat on the board of, and helped run an AI company that sold in 2026. He sits on the board of Exyn Technologies, a Nasdaq-listed AI and robotics company. At Pepperdine he teaches AI governance law and watches the rules get drafted in real time, and he has testified before Congress and advised the White House, the Defense Department, and the State Department on emerging technology.
That mix changes the talk. When Greg says a particular AI bet is reversible or that a regulation is going to bite, he is drawing on calls he has actually made with real money and real liability attached, not on a summary of other people’s headlines. Audiences can tell the difference within the first five minutes, and it is the difference between a talk they enjoy and a talk they use.
What the room walks out able to do
A keynote is worth its fee only if behavior changes afterward. This one is built backward from that test.
A shared way to separate signal from hype
Every team is drowning in AI claims, and most of them cannot agree on which ones are real. The talk gives a room one common filter for sorting genuine capability from vendor theater, so the arguments afterward are about the right things.
A clearer view of where the risk actually sits
The risks that make headlines are rarely the ones that hurt a business. Greg moves the room’s attention from the cinematic fears to the concrete ones: data exposure, automation that fails quietly, and decisions no human can explain when a regulator or a customer asks.
One decision each person can make on Monday
Inspiration fades by the parking lot. A specific next step does not. Whether someone runs a board, a function, or a team, they leave with a single concrete move that is theirs to make, which is what turns a good hour into a result.
Signature themes, and the decision each one informs
The talk is assembled from a set of themes, chosen and weighted to fit your audience. Each one exists to inform a real decision rather than to fill a slide.
| Theme | The decision it informs |
|---|---|
| What AI reliably does today, and what it only does in demos | Where to deploy now versus where to wait |
| Where AI creates or erases competitive advantage | Which bets to fund, and which to kill early |
| Governing AI without strangling it | How much process to add before it slows the product |
| AI and the shape of work | Whether to cut roles or redesign them |
| The regulation that is actually coming | What to build now so a future rule does not break it |
If your event has a theme of its own, the weighting shifts to match it. The goal is a talk that feels written for your room, because it largely is.
Pairing the keynote with a workshop or panel
A keynote aligns a whole room in under an hour. It does not, by itself, get a specific team unstuck on a specific problem. For events that want both, Greg often pairs the keynote with a smaller working session or a moderated panel later in the day. The keynote sets the shared language and the stakes; the session takes the teams who will actually do the work into their own use cases and leaves them with a plan. If that structure fits your agenda, say so early, and the keynote can be built to set up the session that follows.
FAQ
What does Greg’s AI keynote cover?
Where AI creates advantage and risk right now, how to govern it without strangling it, and what it means for work and trust, tailored to your audience.
Is this a technical talk?
No. It is built for executives, boards, and general audiences. The ideas are substantive, the language is plain.
Why book Greg instead of a futurist?
He has built and sold an AI company, sits on a Nasdaq-listed AI and robotics board, and teaches AI governance. He speaks from having done it, not from guessing.
How long is the keynote, and can it flex to our agenda?
The core talk runs forty to sixty minutes and can stretch or compress to fit your program, with time for questions built in. If you want a shorter plenary plus a working session later, Greg can split the material so the two pieces reinforce each other rather than repeat.
Can Greg tailor the talk to our industry?
Yes. The examples, risks, and decisions are chosen for your audience, whether that is finance, healthcare, defense, law, or a mixed conference. A short brief on the decisions your people face and the failures they have already lived through is enough to aim the talk at your situation.
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