That is what Sol Rashidi, MBA did this week at MURTEC in Las Vegas. And after a couple decades in restaurant technology, I have learned that when a room full of operators actually stops checking their phones during a keynote, something interesting is happening.

Las Vegas, of course, is a city that takes spectacle very seriously. It is a place where a pyramid shoots a beam into space, where Elvis sightings rival the local pigeon population, and where perfectly rational adults will happily stand in line to photograph a margarita the size of a toddler.

So expectations for spectacle were already high.

What Rashidi delivered instead was something far more valuable: clarity. And clarity, in the middle of the current AI gold rush, is about as easy to find as a breath of fresh air near blackjack table in Vegas.

I have sat through more technology keynotes than I can reasonably admit in polite company. Most of them blur together somewhere between slide twelve and the coffee break. The moment Rashidi started speaking, it was obvious this one would land differently.

There were no dramatic predictions about robots replacing everyone before lunch. No glossy promises that artificial intelligence would magically fix every operational challenge except maybe the ice machine.

Anyone who attends enough conferences knows the other version of this presentation. The one with inspirational stock photos of people pointing at laptops while the speaker promises to “reimagine the future” using a slide deck that feels like it has been recycled since the Obama administration.

This was not that.

Instead, Rashidi spoke from experience. The kind that comes from actually building and deploying AI systems inside large organizations.

Sol Rashidi challenges the MURTEC audience to rethink AI, not as a shortcut around people but as a tool that amplifies them

It was also energizing to see a woman leader command that stage with this level of authority and depth. Technology conversations about the future still tend to feature the same lineup of voices. Rashidi did not just belong on that stage. She owned it.

Her career alone reads like someone accidentally merged three executive résumés into one document.

Sol Rashidi, MBA is widely recognized as the world’s first Chief AI Officer. She has been named a Forbes AI visionary and maverick of the twenty first century and a Top 50 Woman in Restaurant Technology. She has served as a four-time C-suite executive at Fortune 100 companies including Sony, Merck, Estée Lauder, and Royal Caribbean.

Later she served as Head of Technology for North America startup divisions at Amazon, working with companies such as Anthropic and Perplexity. Along the way she helped launch IBM Watson in 2011, became the bestselling author of Your AI Survival Guide, delivered three TED talks, earned a fellowship at Harvard, and secured ten patents.

At a certain point you begin to suspect she either cloned herself sometime around 2014 or discovered the secret to twenty-eight hour days. If that is the case, the rest of us would appreciate a memo.

But what made her keynote resonate was not the résumé. It was the candor.

Her message was not anti-AI. It was anti-nonsense.

She addressed something many organizations are wrestling with right now. Companies are racing to deploy AI at breakneck speed while governance, security, and workforce preparation are still tying their shoes in the parking lot.

Everyone wants the magic. Far fewer want the discipline that makes the magic sustainable.

Headlines celebrate innovation. Boardrooms celebrate speed. Meanwhile the practical questions about governance, data security, and workforce readiness often arrive later than they should.

Rashidi did not dodge those questions.

“Artificial intelligence will find the most efficient path. It won’t always find the right one.”

She pointed out that most AI failures are not technology failures. They are planning failures, communication failures, and human adoption failures. Technology, it turns out, is usually the easiest part of the equation.

Sol Rashidi brings a dose of realism to the AI conversation at MURTEC, urging leaders to match innovation with governance and workforce readiness

“Most AI initiatives don’t fail because of the technology. They fail because of the people challenges around it.”

One of the most interesting moments of the session came during the Q&A.

Conference Q&A sessions have their own ecosystem. One person asks a thoughtful question. Someone else asks something that suspiciously resembles a product pitch. And occasionally a brave attendee approaches the microphone to deliver a five-minute monologue disguised as a question.

This one started strong.

Fred LeFranc stepped up first and asked about the growing narrative around AI-driven layoffs. Headlines have been filled with companies announcing workforce reductions while simultaneously highlighting new investments in artificial intelligence. His question was straightforward: what should the industry actually believe when it comes to AI replacing jobs?

Rashidi answered without hesitation.

Many of those stories, she explained, lack context. During the pandemic, a number of companies hired aggressively to keep up with demand. What we are seeing now in many cases is a correction of those hiring surges rather than AI suddenly replacing entire workforces.

There is also a narrative component. Announcing layoffs tied to innovation can create a compelling storyline for investors and the market, even if the operational reality is more complicated.

In other words, the headline rarely tells the whole story.

Then the room grew quiet.

Rashidi looked out at the audience and asked if there was another question. For a moment no one moved. It was the kind of pause that stretches just long enough for people to start studying the carpet.

From the front row, I raised my hand.

A staff member brought the microphone over, and Rashidi called me out for being front row center and for asking what she described as a great question about AI security protocols.

If you have never had a globally recognized AI pioneer single you out from the stage in front of a packed ballroom, it produces a very specific combination of pride, adrenaline, and the sudden fear that you might forget how to form a sentence.

"God please don't let this come across as gibberish!"

Fortunately, the question landed.

My question focused on security assumptions organizations are making as they begin deploying AI across their operations.

She asked a quick clarifying question about which part of AI I meant, mentioning areas like Agentic systems and Generative AI. My best answer in the moment was simply, “broad spectrum.” Sol took a thoughtful pause and then shared the following perspective with both the audience and me.

One of the biggest mistakes companies are making, she explained, is assuming the governance and security models that worked even a few years ago will automatically hold up in an AI-driven environment.

They will not.

Organizations are trying to operate advanced AI systems using outdated playbooks. It is a bit like installing a rocket engine on a golf cart and assuming the seatbelt will handle the rest.

That arrangement might function for about twelve seconds, which coincidentally is how long most bad technology strategies survive contact with reality.

Speed without governance isn't innovation. It's risk

What companies actually need, she said, are AI-native approaches to data visibility, classification, and security. Before organizations allow intelligent systems to interact with data at scale, they need a clear understanding of where that data lives, who can access it, and how it moves through the business.

Exciting technology does not remove the need for discipline. If anything, it increases it.

Yet the most powerful part of Rashidi’s keynote had little to do with technology.

It had to do with thinking.

"Outsource the tasks, not your critical thinking"

She warned about the growing temptation to outsource not only tasks to AI but thinking itself. Her advice was simple and memorable.

Outsource the tasks. Do not outsource critical thinking.

It sounds obvious until you realize half the internet now asks a chatbot what to cook for dinner and then argues with it about pasta.

You could feel the room shift when she said it. Phones went down. Pens came out. In conference terms, that qualifies as a standing ovation.

Underneath the conversations about models, automation, and productivity sits a deeper question.

Are we building tools that expand human capability? Or are we gradually teaching ourselves to stop using the capabilities we already have?

Rashidi’s answer was clear.

Artificial intelligence should amplify the workforce, not replace it.

That message carries particular weight in the restaurant and hospitality industry, where the experience itself is built on human connection.

Technology can optimize processes. It can recognize patterns. It can help teams make better decisions faster.

But it cannot replace the moment when a server reads a table perfectly, when a manager steps in to solve a problem, or when a brand earns loyalty through genuine service.

Those moments remain stubbornly, wonderfully human.

The best conference talks do not simply tell you something new. They make you look at something familiar in a completely different way.

MURTEC brought in a keynote speaker with an extraordinary career. What Sol Rashidi gave the audience was something even more valuable: perspective.

A reminder that progress is not simply about moving faster. It is about moving forward without losing the judgment, curiosity, and responsibility that got us here in the first place.

From my seat in the front row, that message landed long after the lights came up, the hallway conversations started, and the slot machines downstairs resumed their relentless campaign to separate conference attendees from their expense accounts and their better judgment.

Further Reading

Sol Rashidi is the author of the bestselling book Your AI Survival Guide: Scraped Knees, Bruised Elbows, and Lessons Learned from Real-World AI Deployments, where she shares practical lessons from more than a decade of implementing AI across global organizations.


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