Most People Think They’re Keeping Up. They’re Not.
- Russell Fitzpatrick, PhD

- Feb 11
- 4 min read
Most people think they are keeping up. The truth is most of us are only keeping pace on the surface. We read. We stay informed. We adapt. We use the tools we are supposed to use. From the outside, and often from the inside, life still looks functional. Productive. Competent. Some people even get raises and promotions. Opportunities keep showing up.
That’s part of what makes this moment so hard to see.
What’s happening now doesn’t feel like a breakdown. It doesn’t arrive as confusion or crisis. It arrives as efficiency. Speed. Responsiveness. Life keeps moving, and so do you. But beneath that motion, something quieter is taking place. And you can feel it. It’s not that people are suddenly unintelligent. It’s that understanding is thinning in ways that are easy to miss while everything still works.
We are surrounded by more information than at any point in human history. We can answer questions instantly, generate text effortlessly, and access knowledge without friction. On the surface, this looks like progress. In many ways, it is. But information is not the same thing as understanding. And speed is not the same thing as clarity.
One of the strange effects of the world we now live in is that it allows us to feel informed while spending less time actually making sense of what we know. We move quickly from input to output, from signal to response, often without noticing what’s been skipped in between.
The problem is simple and easy to overlook.
Information is coming at us faster than human thinking can keep up on its own. No amount of reading, staying informed, or working faster solves that. Life keeps functioning, so it doesn’t register as a problem. Most people experience this as normal life. Productivity continues. Decisions get made. The system rewards speed, responsiveness, and output. Nothing obviously breaks.
AI enters here. Not as a threat, and not as a replacement for human thinking, but as a way to manage the vast amount of information available to us. AI helps us process more information, more quickly, with less friction. In that sense, it’s already necessary.
But processing information is not the same thing as understanding it. Without intentionally changing how we think, speed simply outruns sensemaking.
We already saw this with smartphones and social media. When mobile phones became common, they were framed as conveniences. Few people thought they would alter attention, memory, or the experience of being present. The boundary between being available and being alone quietly dissolved. Attention fragmented. Memory externalized. Life sped up. None of this felt like decline at the time. Productivity increased. Connection expanded. It just became normal.
Social media followed the same pattern. What began as connection slowly reshaped identity, comparison, and meaning. Again, this wasn’t experienced as a cognitive crisis while it was happening. It was simply life. Research now shows our attention, memory, and even identity have been quietly rewired while life went on ‘as normal.’
Only later did we realize how deeply these technologies had rewired us. AI is part of that same story, but at a deeper level. Phones reshaped attention. Networks reshaped identity. AI participates directly in thinking. It generates language, patterns, and reasoning alongside us. It doesn’t just support cognition. It operates in the same space where thinking happens.
The earliest effects are subtle. Efficiency improves. Friction decreases. Output increases. The deeper shifts, how judgment forms, how meaning holds together, how perspective develops, are much harder to see. This is how human evolution usually works. Not through collapse. Through quiet reorganization while life continues to function.
What some people experience as a loss of depth or attention may actually be something else. A signal that the way we’ve been thinking is being stretched beyond what it can comfortably handle. Something new is being asked of human cognition, even if most people don’t yet have language for it.
The problem isn’t that humans are failing. It’s that information is now moving faster than the human mind can integrate on its own. AI helps us keep up. But tools alone don’t change how understanding forms. Human development has never been automatic. It has always required attention, space, and intention. Without that, we compensate. We stay busy. We move faster. We rely more heavily on tools. These strategies keep systems running, but they don’t help thinking itself evolve.
If you’ve felt that something in how you think feels thinner, faster, or more compressed than it used to be, this isn’t a personal failure. It’s a signal. The environment has changed faster than our familiar ways of thinking can handle. Evolution rarely feels like progress at the beginning. It feels like friction. The old ways still work, but no longer feel sufficient on their own.
This isn’t an argument against technology. It’s an invitation to evolve alongside it. To use AI, yes. But also to become the kind of thinker who can integrate what AI makes possible. The question isn't whether to keep up. It's whether to participate in your own evolution. My current work lives in that space. Designing ways to deliberately evolve our thinking, not just our tools, in partnership with AI.




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