(Because a human wrote this, and I figure a fellow nerd would be reading it, I hid 9 Jurassic Park quotes throughout the article. Happy hunting, clever girl.)
Jurassic Park was never about dinosaurs. It was about believing that because we could, we should.
It's a movie about executives chasing innovation without asking enough questions. It's about technological optimism overtaking strategic judgment. It's about billion-dollar bets, unchecked ambition, and the belief that if something can be built, it should be.
Sound familiar?
Thirty-two years later, AI is following the exact same script.
Welcome…
… to Jurassic Park.
Here are the five lessons we should have learned.
Lesson 1: Innovation Isn't the Same as Progress
Everyone remembers Jurassic Park because scientists cloned dinosaurs. But that's not the lesson. The lesson is that innovation without judgment creates risk.
Everyone’s favorite mathematician Ian Malcolm said it best: "Your scientists were so preoccupied with whether or not they could, they didn't stop to think if they should."
Today's AI industry has the same obsession. Can we automate this? Can we replace this? Can we build this? Can we fire the existing team to afford more tokens?
Almost nobody asks whether they should.
McKinsey found that 92% of organizations plan to increase AI investment, yet only 1% consider themselves AI mature. We're accelerating adoption faster than strategy.
Just like our ill-fated friends at the park, they confused a technical breakthrough with a successful business. We're building AI faster than we're building the judgment, governance and strategy around it.
Lesson 2: AI Budgets Aren’t AI Strategy
(louder for the people in the back)
John Hammond, our beloved park creator, had unlimited resources.
"We spared no expense."
He still failed.
Enterprise AI feels remarkably similar. Companies are spending billions on licenses, copilots, and AI pilots. Buying technology isn't transformation. Building capabilities is.
Hammond built an extraordinary park. The dinosaurs worked. The genetics worked. The fences worked...until they didn't.
The technology wasn't the failure. The strategy was.
He invested everything in creating the technology and almost nothing in preparing the organization to manage an unpredictable system.
Many AI strategies look the same. Leaders celebrate successful pilots, new models, and larger AI budgets while overlooking the harder work of building governance, institutional expertise, and decision-making. Throwing more money and more tools at AI won't fix a weak strategy. It just makes the mistakes more expensive.
Lesson 3: Faster Isn’t Smarter
The AI race has become one giant game of: Ship. Deploy. Scale. Repeat.
"Must go faster."
The irony is that Jurassic Park didn't fail because the science was wrong. It failed because they declared success too soon.
Hammond was already giving VIP tours before the park had ever opened. The dinosaurs weren't showing up on cue. The T-Rex feeding failed. The entire operation depended on a single programmer who could shut down the park with a few keystrokes. Yet everyone kept moving forward as if the system had already been proven.
Today, the dinosaurs are gone. But the hubris isn't.
Hold on to your butts.
Companies are racing to launch AI copilots, autonomous agents, and enterprise workflows before they've established governance, resilience, or clear ownership.
AI doesn't make organizations smarter. It makes them faster.
If your strategy is sound, AI becomes a force multiplier. If your strategy is flawed, AI becomes a mistake multiplier. Leadership determines which one happens.
Lesson 4: Judgment is the Last Competitive Advantage
One of the most overlooked moments in Jurassic Park happens in the hatchery. Lead geneticist Henry Wu confidently explained that every dinosaur is female. They've engineered the system perfectly. There's no way they can breed.
Malcolm isn't convinced. He questions the assumption, but he doesn't argue with science.
A short time later, Dr. Grant discovers dinosaur eggs in the wild. Malcolm's prediction was right all along.
"Life... finds a way."
The lesson wasn't that the technology failed. The technology worked exactly as designed. The problem wasn't the technology. It was the assumption.
Enterprise AI is entering the same phase. Every company will have access to frontier models. Everyone will have copilots. Everyone will have autonomous agents. Everyone will automate workflows. Technology diffuses. Competitive advantage doesn't.
The companies that pull ahead won't have access to better models. They'll ask better questions. They'll challenge assumptions. They'll know when to trust AI, when to question it, and when human judgment should override it. That's not a software advantage. It's a leadership advantage.
Because when everyone has access to the same intelligence, the only thing left that competitors can't copy is how your organization thinks, decides, prioritizes, and executes.
Lesson 5: The System Is Only as Strong as Its Weakest Human
Jurassic Park didn't fail because cloning dinosaurs was impossible. It failed because humans behaved exactly as humans do. Humans will always human.
Dennis Nedry (aww Newman) didn't sabotage the park because the technology failed. He did it because he felt underpaid, overworked, and saw an opportunity. God help us, we're in the hands of engineers.
Hammond ignored repeated warnings because he was emotionally invested in proving his vision worked. The investors wanted reassurance. The lawyer wanted profits. The scientists wanted discovery. Everyone had different incentives. No one was responsible for the system as a whole.
The dinosaurs were simply the catalyst. The real failure was organizational.
Enterprise AI projects fail for many of the same reasons. Rarely because the models aren't capable. More often because ownership is unclear. Governance is weak. Employees aren't trained. Leaders mistake experimentation for transformation. Security becomes an afterthought. Everyone assumes someone else is responsible.
The irony is that Jurassic Park wasn't brought down by the T-Rex. It was brought down by one employee with privileged access.
Enterprise AI works the same way. You can have the world's best models. But if one team uploads confidential data… If one executive deploys AI without governance… If one department builds a disconnected workflow… If no one owns the strategy… The technology isn't what fails. The organization does.
The companies that succeed with AI won't necessarily have the smartest models. They'll have the strongest leadership, the clearest governance, and the most ethical culture.
Because AI isn't just a technology transformation (Boy, do I hate being right all the time). It's an organizational transformation.
Let’s Give the Dinosaurs a Break
The dinosaurs weren't the problem. Humans were the unpredictable variable.
John Hammond ignored the warnings. The board wanted reassurance. The lawyer wanted profits. Nedry wanted a bigger paycheck. Everyone optimized for their own objective. No one owned the system.
That's why the park failed.
AI is no different. The biggest risk isn't the model. It isn't the algorithm. It isn't the agent. It's us. Our incentives. Our leadership. Our judgment. Our willingness to mistake technological capability for strategic wisdom.
Every company will soon have access to extraordinary AI. Very few will build extraordinary organizations around it. That will become the real competitive advantage. Because in the age of AI, technology is becoming abundant. Judgment isn't. The companies that win won't be the ones that build the most AI. They'll be the ones that build the most wisdom around it.
Because the most important question was never: Can we build it?
It has always been: Should we?
Thirty-two years later, the technology has changed. But the warning hasn't.
God creates dinosaurs. God destroys dinosaurs. God creates man. Man destroys God. Man creates dinosaurs.
Humans create AI. AI creates opportunity. Humans create risk. Governance decides what happens next.