Are AI Tools Making Us Dumber? Lessons From History and the Aviation Industry
As AI saturates our daily work, key skills are eroding, creating a workforce increasingly dependent on tech. But history offers solutions. Here's how we can adapt and thrive.
I recently caught myself wondering if the tools meant to make us smarter might actually be doing the opposite. It’s not just me. Around 2,400 years ago, Socrates had similar concerns about writing and its impact on memory. Fast forward to today, and we're seeing AI as the latest contributor to what some call 'distributed de-skilling.' This isn't just philosophical musing. A recent study of 70 senior executives shows that judgment, problem framing, and original analysis are eroding right before our eyes.
The De-Skilling Dilemma
The mechanics are pretty straightforward. As AI tools become more integrated into our work, there's less emphasis on developing critical skills. Imagine an AI doing the grunt work that junior staff used to cut their teeth on. Yes, it sounds efficient, but what happens to those important learning experiences? They're getting replaced by screen time, not skill time.
BCG calls this 'distributed de-skilling' and found that half of the leaders they interviewed are already feeling it. Organizations that used to be training grounds are turning into echo chambers, where AI runs the show and workers play catch-up. The apprentice route that developed judgment and wisdom? It's being bulldozed. AI systems don't provide the learning curves that human mentors do. It's a critical loss, putting companies at the mercy of systems nobody truly understands.
Lessons From the Past
But history suggests we can adapt. Think about how writing eventually led to educational institutions, libraries, and the scientific method. We took a potential 'skills apocalypse' and turned it into progress. Carlota Perez's theory on technological revolutions speaks to this, describing an 'installation phase' and a 'deployment phase.' We're stuck in the installation phase where tech evolves faster than our ability to catch up. But once we figure out how to integrate these tools into our systems effectively, we could experience another golden age.
The aviation industry faced this exact conundrum with cockpit automation. Pilots became overly reliant on technology, leading to skill degradation and, in some cases, tragic accidents. The solution wasn't to ban automation but to introduce flight simulators, which provided the necessary challenge, complexity, and connection. This method retrained pilots without risking lives. Why not apply the same logic to AI tools in the workplace?
Rebuilding the Ladder
Here's the thing: AI could actually be part of the solution. Imagine turning AI into a simulator, where it doesn't just mechanize tasks but sets the stage for learning. Picture juniors facing simulated high-stakes scenarios, while seasoned experts offer feedback. This isn't about making AI the enemy. It's about using it to rebuild the apprentice-expert connection. The roles reverse as juniors teach the tools, and seniors teach judgment.
We can't ignore the quiet innovators already among us. In any productivity-driven workplace, there's usually a small group bending the rules to actually learn skills. They're running their own 'shadow simulations,' testing models manually or using unsanctioned practices to deepen their understanding. Why not harness their ingenuity to build a real simulator?
AI doesn't have to make us dumber. It could be the training ground for the skills we'll need tomorrow. But the game comes first. The economy comes second. By focusing on learning rather than just doing, we might just find ourselves flourishing in this new age.