If you’re just stepping into the professional world, you’re likely hearing a lot of noise about how AI is going to disrupt your career path. To stand out as an entrepreneur—or even just an innovative professional—you need one defining trait: Clarity.
Entrepreneurs don’t see “more” than the average person; they see differently. I call this the Necker Cube approach. Imagine a 3D wireframe cube that can be perceived in two different orientations. Stare at the image and you will see the red dot flip between two different surfaces. Both are “correct,” but one orientation is a fundamentally better solution depending on the environment. Most people will stare at the same data, the same market, and the same technology and see only one side. The entrepreneur trains their brain to flip the cube and see the alternative perspective.

The Fear Factor: Learning from History

If you are worried that AI will steal your future, you are simply listening to those who can only see one side of the cube. History is littered with “disruptive” panics.

There has never been a disruptive technology since the taming of fire that has not resulted in anything less than exponential growth of humanity. Let that sink in.

• The Calculator Panic: In the 1970s, the U.S. educational system famously banned calculators from classrooms, fearing they would “dumb down” the next generation. Instead, those same tools provided the foundation for our most ambitious technological achievements, including the autonomous navigation required to land rovers on Mars. We didn’t lose our intellect; we offloaded the tedium to gain speed.

Where the Real Opportunity Hides

To find the next “flipped” perspective, look for industries currently scratching the surface of integration. Take the cruise line industry, for example.
On a recent trip, I saw how they are using Near Field Communication (NFC) to revolutionize the guest experience—from unlocking cabin doors as you approach to using real-time location data to ensure a server finds you in a crowded lounge to deliver a drink. That is only the prologue.

If you are a recent Computer Science graduate, pay close attention to this sector. They are positioned to be the first to move toward advanced biometric integration—such as under-the-skin chips—to create entirely seamless, frictionless guest experiences, all powered by AI on the back end.

Choosing Your Perspective

Yes, moving toward deep biometric integration has a “Minority Report” side—there are valid ethical and privacy concerns that require serious stewardship. But the opportunity space is massive.

The world doesn’t need more people analyzing the same side of the cube. It needs graduates who can look at the same data as everyone else, identify the hidden orientation, and build the infrastructure that bridges the gap between today’s convenience and tomorrow’s reality.

I have always been a creative individual, and though I never used this creativity to build a fortune, I used it to see how it changed my thinking. To defend this path, I always looked for backup. The legendary Hungarian-American psychologist Mihaly Csikszentmihalyi … get this… phonetically it is pronounced, “me-high cheek-sent-me-high.” Needless to say, I have never forgotten his name.

In the 1960’s, Mihaly and his colleague Jacob Getzels conducted a study on artists at the School of the Art Institute of Chicago that perfectly matches what I am defining as the Necker Cube Approach.

Their experiment: “Problem Finders, Problem Solvers”

They divided a group of art students in a room with a table and 27 diverse, random objects (like a book, a gearshift, or a prism) and told them to compose and paint a still life. They noticed the students split sharply into two behavioral groups:

• The “Problem Solvers”: This group took a quick look at the objects, picked a few, arranged them rapidly, and spent nearly the entire hour rushing straight into executing the drawing. They viewed the task as a straightforward problem to be solved.
• The “Problem Finders”: This group spent a massive chunk of their time just interacting with the problem. They picked up the objects, turned them over, changed their minds, walked around the table, and continuously reframed what they wanted to capture. They spent so much time exploring and defining the visual problem that some had to rush to finish their actual drawing in the final minutes.

When an independent panel of art critics evaluated the final works without knowing which student was which, the drawings made by the “problem finders” were overwhelmingly judged as more original, complex, and creative.

Even wilder was the long-term data. Csikszentmihalyi and Getzels tracked these students over the next twenty years. The “problem solvers” largely abandoned the art world for stable corporate or alternative jobs. The “problem finders”—the ones who naturally delayed gratification to thoroughly dissect and explore problems from multiple angles—went on to become highly successful, widely exhibited professional artists.

The question isn’t whether technology will change your career—it’s which side of the cube you are going to choose to build on.

Artificial Intelligence has effectively captured the collective knowledge of humanity and placed it inside a box. For the first time in history, that box is accessible to every living person on the planet.

Where we stand today, staring at this little box, is identical to the moment primitive man first stumbled upon a grassland set ablaze by a lightning strike. As they stood before that fire, a profound cognitive shift occurred. They didn’t just see destruction; they saw the future. They realized that this terrifying, disruptive force would fundamentally change the destiny of every upright, tool-making human to follow.

AI is our generation’s fire. The box is open. The only question left is whether you will be warmed by it, or left behind in the ash.