Every major shift in human history has created a divide between people who learned their way forward and people who waited, resisted, or hoped things would slow down. When the printing press appeared, some people learned to read and suddenly had access to ideas and opportunity their parents never had, while others dismissed books as unnecessary or even dangerous. When electricity entered homes, families who adapted rewired how they lived, while others stuck with candles because the change felt unfamiliar. When computers arrived at work, some people opened the program, clicked around, asked questions, and got better, while others avoided the keyboard and quietly fell behind.
AI is not different. It just feels faster and more personal.
New research from PwC’s 2025 Global Workforce Hopes and Fears Survey shows that people who use generative AI every day are already earning more, advancing faster, and feeling more confident about their future than those who don’t, with AI skills now linked to a 56% wage premium in similar roles. That number is striking, but the real story sits underneath it. This is not about tools. It is about whether humans adapt when the rules change.
If you want a sobering example of what happens when people, or organizations, don’t adapt, look at Kodak.
Kodak did not miss the digital camera revolution because it didn’t see it coming. In fact, Kodak invented the first digital camera in 1975. The problem was not technology. The problem was fear. Leaders worried that digital photos would kill their film business, so instead of learning their way forward, they protected the old model. For years, Kodak delayed, debated, and waited, while competitors embraced digital photography, improved it, and built new habits around it. By the time Kodak finally tried to catch up, the world had already moved on. In 2012, a company that once employed more than 140,000 people filed for bankruptcy, not because it lacked innovation, but because it failed to adapt its identity and behavior.
That is the part people forget. The downfall did not happen overnight. It happened slowly, through small decisions to delay learning.
In my own national research on adapting to AI in the workplace, where I surveyed 5,000 professionals, I saw the same pattern playing out at the individual level. Eighty-five percent of professionals reported self-doubt about adapting to AI, more than half said they felt overwhelmed, and only a small number felt confident explaining how AI fits into their work. These are not people who lack intelligence or experience. They are people whose brains are reacting exactly the way human brains always have when something familiar starts to disappear.
Your brain is built to change based on what you repeat. When you try something new, your brain begins forming new connections. When you repeat it, those connections get stronger and faster. That is why learning to drive, use a smartphone, or navigate a new city feels hard at first and easy later. That is neuroplasticity in everyday life. But avoidance trains the brain too. When you repeatedly avoid learning, your brain gets better at fear, hesitation, and delay.
The professionals who use AI daily are not doing anything heroic. They are simply practicing learning more often. They open the tool. They try. They feel awkward. They adjust. Over time, their brains learn, “I can handle this.” PwC found that daily AI users feel more secure in their jobs and more optimistic about their future, and that confidence did not appear out of nowhere. It was built through repetition. This mirrors what I found in my 6% research as well. Only a small percentage of people consistently do the uncomfortable things that lead to growth, but those small choices compound into a massive advantage over time.
What makes this moment even more important is that this gap goes beyond AI. PwC’s research shows people using AI not only to work faster, but to finally move forward on personal goals they have delayed for years—writing books, preparing for interviews, exploring new careers, building side businesses, and learning skills outside their job description. AI did not change who they are. It changed what felt possible to start.
We have seen this story before. Taxi companies that dismissed ride-sharing apps disappeared. Retailers that ignored online shopping closed stores that once felt untouchable. Individuals who refused to learn email, spreadsheets, or basic digital tools found themselves dependent on others or quietly sidelined. The pattern is always the same. The people who fall behind are not lazy or incapable. They are protecting what feels safe.
This is why adapting to AI is not a technical challenge. It is a human one. When leaders roll out tools without addressing fear, overwhelm, and confidence, adoption stalls. When people wait to feel ready, the gap widens. The brain does not need certainty to learn. It needs repetition and permission.
So here is what to do, starting now.
Pick one AI tool and use it for one small task you already do, today. Let it help you write, organize, summarize, or think. Do not try to master it. Just use it. Tomorrow, do it again. Outside of AI, choose one thing you have been avoiding learning—a skill, a conversation, a system—and take a five-minute step toward it. Five minutes is enough to tell your brain, “We are moving.”
Stop telling yourself it is too late. Kodak did not fail because digital cameras arrived. It failed because it waited. Human history does not reward those who wait for comfort. It rewards those who learn in motion. Your next move should be to learn, adapt, grow, do things differently than you are used to. Learning is rarely neat or comfortable. It will feel messy. You will get things wrong. And there will be moments when that voice in your head tells you that you can’t do it. Learn anyway. Because every time you do, you stretch what you’re capable of—and that quietly transforms your leadership and your life in ways you can’t fully see yet, but you will, as learning, self-challenge, and the future unfold.
