If you’re working in tech, product, or UX right now, you’ve probably had that 3 AM moment. The one where you wonder: Is AI going to make my job obsolete?
I get it. When generative AI can write code, design interfaces, and analyze user behavior in seconds, it’s natural to feel uncertain about where you fit in.
In my previous article, I explored how structured thinking and clarity are essential to leveraging AI effectively—how the quality of your outputs depends entirely on the quality of your inputs. But that focused on using AI. This article takes that same structured, clear-eyed approach to answer a bigger question: how will AI reshape jobs themselves, and how should you think about your own career in this transformation?
Here’s the thing: we’ve been here before. And the pattern that emerged might surprise you.
When Autopilot Came for the Pilots
In 1912—just nine years after the Wright Brothers’ first flight—an inventor named Lawrence Sperry demonstrated something remarkable in Paris. He flew an aircraft with his hands completely off the controls, visible to onlookers, while a “gyroscopic automatic pilot” kept the plane stable. The crowd was amazed. The aviation industry saw the future.
And almost immediately, people started asking: Will this make pilots redundant?
It seemed like a reasonable fear. If a machine could fly the plane, why would you need a human? By 1947, a U.S. Air Force C-53 made a complete transatlantic flight—including takeoff and landing—entirely under autopilot control. The writing appeared to be on the wall.
By the 1950s, commercial planes had five crew members in the cockpit: a flight engineer, a radio operator, a navigator, and two pilots. Over the following decades, automation and improved technology made the first three jobs unnecessary, saving airlines considerable money.
The pilots, it seemed, were next.
What Actually Happened: The Plot Twist
But here’s what nobody predicted in 1912, or even in 1950: pilots didn’t disappear. In fact, the aviation industry now needs 649,000 new commercial pilots over the next 20 years, with North America alone requiring 127,000 by 2042. We’re experiencing the first significant pilot shortage in 40 years, and the industry is scrambling to train enough people to meet demand.
How is this possible when planes can practically fly themselves?
The answer reveals something profound about how technology transforms work—and it’s directly relevant to your job in tech today.
The Three Unexpected Shifts
1. The Role Evolved, It Didn’t Evaporate
Autopilot didn’t replace pilots. It redefined what being a pilot means.
Autopilot systems handle routine tasks like maintaining altitude, following pre-programmed routes, and landing in low-visibility conditions, allowing pilots to focus on higher-level responsibilities. Modern pilots are less occupied with the physical act of flying and more focused on strategic decision-making, systems monitoring, crisis management, and judgment calls that no automation can handle.
When Air France Flight 447 crashed in 2009, investigators found that the autopilot and fly-by-wire functions had malfunctioned and turned themselves off, and the pilots were unable to take over the plane manually. The tragedy highlighted something crucial: automation creates different challenges, not fewer challenges. It demands different skills, not fewer skills.
Today’s pilots need to understand complex automated systems, make split-second decisions when those systems fail, interpret data from multiple sources, and exercise judgment in ambiguous situations. The job is cognitively more demanding than ever—just in different ways.
Sound familiar? This is exactly what’s happening in tech roles right now. AI can generate code, but it can’t architect a system. It can create mockups, but it can’t understand user psychology. It can analyze data, but it can’t weigh competing business priorities.
Lesson #1: Your job isn’t being eliminated. It’s being elevated.
2. Safety Scaled the Industry (The Flywheel Nobody Saw Coming)
Here’s the part that was impossible to predict in 1912: autopilot made flying dramatically safer. And that safety triggered a flywheel effect that transformed the entire industry.
Safer flights meant more people were willing to fly. More passengers meant airlines could expand routes and buy more aircraft. More aircraft meant more airports were built. More airports meant more destinations became accessible. More accessibility meant tourism exploded, business travel grew, and global commerce accelerated.
The numbers are staggering. In 2023, 4.4 billion passengers were carried by the world’s airlines, with estimates of 5 billion passengers for 2024. From 1958 to 1996, employment in commercial aviation increased by about 700,000 jobs—more than 400 percent—as output increased by more than 1,800 percent.
Think about what this means: the technology that was supposed to eliminate pilot jobs actually created an industry so massive it needed exponentially more pilots. Not to mention air traffic controllers, maintenance engineers, airport operations staff, safety inspectors, and thousands of other specialized roles that didn’t even exist in 1912.
Today, the aviation industry provides a total of 87.7 million jobs worldwide—from the direct employees of airlines to the massive supply chain that supports them, to aviation-enabled tourism that generates tens of millions more jobs. This is the pattern we miss when we’re in the middle of transformation:
Lesson #2: The technology that automates certain tasks often unlocks growth that creates entirely new categories of work.
3. New Problems Created New Roles
As aviation scaled, it didn’t just need more of the same jobs—it created jobs nobody imagined in the early days of flight.
Who could have predicted in 1912 that we’d need:
User experience designers for airline apps and booking systems
Data scientists analyzing passenger flow and optimizing routes
Cybersecurity experts protecting flight systems
Sustainability engineers working on carbon reduction
Customer experience specialists managing passenger satisfaction
AI specialists developing predictive maintenance for aircraft
The automation didn’t just change flying—it made flying accessible enough that entirely new problems emerged, requiring entirely new solutions.
Lesson #3: Technology doesn’t just automate existing work. It creates entirely new categories of work to manage the scale and complexity it enables.
What This Means for You in Tech
If you’re worried that AI will replace your role as a product manager, UX designer, or engineer, consider this: you’re living through the autopilot moment for knowledge work.
AI is already handling routine tasks—generating boilerplate code, creating initial design concepts, analyzing user data, summarizing research. Just like autopilot handles altitude and heading.
But here’s what AI can’t do (and what pilots still do):
Navigate ambiguity: When the situation doesn’t match any pattern, when stakeholders have conflicting needs, when the “right answer” depends on context only a human understands
Exercise judgment under uncertainty: Deciding which features to cut, which users to prioritize, what trade-offs are acceptable—these require human wisdom
Integrate disparate signals: Reading the room in a meeting, sensing when a team is struggling, connecting insights from three different conversations—this is human pattern matching at its finest
Take accountability: When something goes wrong, when a bet doesn’t pay off, when values conflict—humans are responsible in ways AI never will be
The Flywheel You Can’t See Yet
Here’s the part that’s hard to grasp when you’re anxious about your job: AI isn’t just automating tasks. It’s about to make your entire industry dramatically more productive, accessible, and valuable.
Just like autopilot made flying safer and triggered explosive growth, AI will:
Make software development so efficient that companies can tackle problems previously considered too complex or expensive
Make design so accessible that products can be hyper-personalized in ways currently impossible
Make data analysis so fast that real-time optimization becomes standard across industries
This productivity surge won’t shrink the tech industry. It will expand it massively.
More companies will be able to build software products. More industries will digitize operations that were previously analog. More problems will become solvable with technology. And all of that will require more people who can:
Understand what problems are worth solving
Shape technology to serve human needs
Navigate the complexity of implementation
Make the judgment calls AI can’t
The job market won’t need fewer product managers, designers, and engineers. It will need different ones—and probably more of them.
Employment at U.S. scheduled passenger airlines grew from 488,000 in March 2023 to 517,796 in March 2025, even as automation continues to advance. The U.S. Bureau of Labor Statistics projects a 7% employment growth for air transportation workers from 2023 to 2033, outpacing the 4% average for all occupations.
That’s the pattern. Automation enables growth. Growth creates demand. Demand creates jobs—different jobs, higher-level jobs, but real jobs nonetheless.
What You Should Do Right Now
If you’re in tech and feeling uncertain, here’s my advice based on the autopilot pattern:
1. Don’t compete with AI on its strengths. Build yours.
Pilots stopped trying to be more precise than autopilot at maintaining altitude. Instead, they got better at system thinking, crisis management, and judgment under pressure. You should do the same.
Get comfortable with AI tools—use them to eliminate your own busywork. But invest your energy in developing the capabilities AI can’t replicate: strategic thinking, stakeholder management, ethical judgment, creative problem-solving, and deep domain expertise.
2. Learn to work with AI, not around it.
The pilots who thrived weren’t the ones who rejected autopilot. They were the ones who learned to use it as a tool that amplified their capabilities. Airbus has emphasized that for autonomous technologies to improve flight operations, pilots will remain at the heart of operations, enabling them to focus less on aircraft operation and more on strategic decision-making and mission management.
Your job is evolving from “doing the work” to “directing the work and ensuring quality.” Learn to brief AI like you’d brief a junior team member. Get good at evaluating its output, catching its mistakes, and iterating toward excellence.
3. Position yourself for the new problems.
When aviation scaled, it created problems that didn’t exist when it was small: global air traffic management, passenger security at scale, environmental impact, international regulatory coordination.
AI will do the same. As it makes tech more accessible and powerful, entirely new challenges will emerge. Privacy at unprecedented scale. Ethics of algorithmic decision-making. Human-AI collaboration frameworks. Accessibility for AI-generated interfaces. New categories of product experiences we haven’t imagined yet.
These are the frontiers where you want to be.
4. Remember: You’re not competing with everyone who has AI. You’re collaborating with AI better than others.
In 1912, everyone worried that pilots would be redundant. Today, we’re desperate for more of them. The difference isn’t that we need fewer pilots—it’s that we need pilots who understand modern aviation systems and can work effectively with automation.
In 2026, the question isn’t whether you can do something AI can’t. It’s whether you can combine your uniquely human judgment, creativity, and understanding with AI’s capabilities to solve problems neither could solve alone.
The Flywheel Is Already Turning
You might not see it yet—just like pilots in 1912 couldn’t see that autopilot would create an industry needing 87 million jobs. But the pattern is already forming:
AI is making software development faster → more companies are building products → more digital experiences are being created → more problems are emerging → more people are needed to solve them.
The anxiety you feel right now? Pilots felt it too when autopilot arrived. But they’re still flying. In fact, there aren’t enough of them.
Your role is changing. That’s undeniable. But changing isn’t the same as disappearing.
Evolve your skills. Embrace the tools. Focus on problems that matter. And trust the pattern: technologies that augment human capability don’t eliminate human roles. They transform them into something more valuable.
The autopilot didn’t make pilots obsolete.
It made them indispensable.
The question isn’t whether AI will change your job. It will. The question is: will you be ready to do the job AI makes possible?