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The Unseen Heroes of Warehouse Automation: The People Who Keep the Robots Running
I remember the first time I walked into a modern, heavily automated warehouse. It was a few years back, and I was doing due diligence for an investment in a logistics startup. The founder was proudly showing off his army of robots, zipping around the floor, picking and packing with incredible speed and precision. It was impressive, I have to admit. But what struck me the most was not the robots, but the people. There were dozens of them, scattered throughout the facility, each one focused on a specific task, their faces illuminated by the glow of a screen or the flashing lights of a machine. I turned to the founder and said, "I thought you told me this place was fully automated." He just smiled and replied, "Sahin, the robots are the easy part. The people are the real magic."
He was right. And it's a lesson that I've seen play out time and time again in my career, both as a founder and as an investor. We get so caught up in the hype of AI and robotics that we forget about the human element. We dream of "lights-out" factories and fully autonomous supply chains, but the reality is that we are a long, long way from that. And I, for one, am not so sure we should even want to get there.
The "Lights-Out" Fallacy
The idea of a "lights-out" warehouse, a facility that can run completely on its own with no human intervention, has been a holy grail for the logistics industry for decades. And on the surface, it makes a lot of sense. Humans are messy, unpredictable, and prone to error. Robots, on the other hand, are precise, tireless, and obedient. So why not just replace all the people with machines? Well, as anyone who has ever tried to build a complex system knows, it's never that simple.
For one thing, the real world is a messy and unpredictable place. Things break. Shipments get delayed. Customer orders change at the last minute. A robot can be programmed to handle a million different scenarios, but it only takes one unforeseen event to bring the entire system to a grinding halt. And when that happens, you need a human to step in and fix the problem. You need someone who can think on their feet, improvise, and come up with a creative solution. You need a person.
I learned this lesson the hard way at RemoteTeam. We were building a platform to help companies manage their remote employees, and we were obsessed with automation. We wanted to automate everything, from payroll and benefits to performance reviews and onboarding. We built some incredibly sophisticated systems, but we quickly realized that we couldn't automate everything. There were always edge cases, exceptions, and unique situations that required a human touch. We learned that the most effective systems were not the ones that tried to replace people, but the ones that augmented them, that gave them the tools and the information they needed to do their jobs better.
The New Collar Workforce
The other big misconception about warehouse automation is that it's all about eliminating jobs. The narrative we often hear is that robots are coming to take all the blue-collar jobs, leaving a generation of workers unemployed and unemployable. But that's not what I'm seeing. What I'm seeing is not a reduction in jobs, but a transformation of jobs. The old, manual-labor jobs are disappearing, yes, but they are being replaced by new, higher-skilled jobs that I like to call "new collar" jobs.
These are jobs that require a unique blend of technical skills and soft skills. They are jobs for people who can work alongside robots, who can troubleshoot a complex piece of machinery, and who can communicate effectively with both engineers and warehouse workers. These are the robotics technicians, the data analysts, the AI trainers, and the logistics coordinators who are the true heroes of the modern warehouse.
I've invested in several companies that are at the forefront of this trend. Companies like Scale AI, which is building the data platform for AI, and Figure AI, which is developing humanoid robots for a variety of applications. These companies are not just building cool technology; they are building the infrastructure for a new kind of economy, an economy where humans and machines work together to solve the world's most pressing challenges. And they are creating a whole new category of jobs in the process. For more on my investment philosophy, you can read about my biggest investment mistake and how it shaped my thinking.
A Day in the Life of a Robotics Technician
I want to tell you a story about a woman I met during that warehouse tour I mentioned earlier. Her name was Maria, and she was a robotics technician. She had started out as a picker, one of the people who manually retrieve items from the shelves. But when the company started to introduce robots, she didn't see it as a threat. She saw it as an opportunity. She took every training course she could find, learned how to code, and eventually became one of the most skilled technicians in the facility.
I spent an hour with Maria, watching her as she worked. It was fascinating. She moved with a quiet confidence, her eyes darting from a computer screen to a robot and back again. She was like a conductor, orchestrating a symphony of machines. At one point, a robot in a far corner of the warehouse stopped moving. Maria didn't panic. She calmly pulled out her tablet, ran a diagnostic, and identified the problem. It was a faulty sensor. She grabbed a new sensor from a nearby toolbox, walked over to the robot, and replaced the broken part. The whole process took less than five minutes. The robot whirred back to life and went on its way. I was blown away. Here was a woman who, just a few years earlier, had been doing a manual, repetitive job. And now, she was a highly skilled technician, a problem-solver, a critical part of the company's success.
Maria's story is not unique. I've met dozens of people like her, people who have embraced the challenges of automation and have reinvented themselves in the process. These are the unseen heroes of the modern economy, the people who are quietly building the future, one sensor at a time.
The Challenges of a Hybrid Workforce
Of course, managing a hybrid workforce of humans and robots is not without its challenges. It requires a new way of thinking, a new approach to management, and a new set of skills. You can't just throw a bunch of robots into a warehouse and expect everything to run smoothly. You have to design the entire system, from the physical layout of the facility to the software that runs it, with both humans and robots in mind.
One of the biggest challenges is training. How do you train a workforce to work alongside machines that are constantly learning and evolving? How do you create a culture of continuous learning, where people are not afraid to experiment, to fail, and to adapt? There are no easy answers to these questions. But I believe that the companies that will succeed in the long run are the ones that are investing in their people, that are giving them the skills and the support they need to thrive in this new world.
Another challenge is the psychological impact on workers. It can be intimidating to work alongside a machine that is stronger, faster, and more precise than you are. It can make you feel devalued, even obsolete. That's why it's so important to create a culture of respect and collaboration, where people feel like they are part of a team, where they are valued for their unique skills and contributions. It's not about humans versus machines. It's about humans and machines working together to achieve a common goal. I've written more about this in a post on the future of AI is not what you think.
My Advice to Founders
So, what's the takeaway from all of this? If you are a founder or a manager in the automation space, here is my advice to you: don't get so caught up in the technology that you forget about the people. Your success will not be determined by the sophistication of your robots or the elegance of your algorithms. It will be determined by your ability to build a culture of collaboration, to empower your employees, and to create a workplace where both humans and machines can thrive.
Look, I get it. As a founder, you are under immense pressure to innovate, to disrupt, and to grow at all costs. But I'm telling you, from my own experience, that the most successful companies are not the ones that have the best technology, but the ones that have the best people. So, invest in your people. Train them. Empower them. And for God's sake, listen to them. They are the ones who are on the front lines, who are dealing with the messy reality of the real world every single day. They are the ones who will ultimately determine your success or failure.
The future of work is not a dystopian nightmare where robots have taken all the jobs. It's a future where humans and machines work together, where technology augments our abilities, and where we are all empowered to do our best work. It's a future that is being built today, in warehouses and factories and offices all over the world, by the unseen heroes of the modern economy. And I, for one, am incredibly excited to be a part of it. '''
Frequently Asked Questions
How can I apply this thinking to my own situation?
Start by identifying the core principle behind the opinion, not the specific example. Then ask yourself: does this principle apply to my context? If yes, test it in a small, low-risk way before going all in.
Do all experts agree with this view?
No, and that's fine. The best ideas in business are often contrarian. I share my perspective based on my experience and data, but I encourage you to seek out opposing viewpoints and form your own conclusions.
What experience informs this perspective?
This perspective comes from over a decade of building companies in Silicon Valley, two successful exits (RemoteTeam to Gusto, MovieLaLa to Gfycat), and investing in 200+ startups including Anthropic, OpenAI, and Scale AI. I write about what I've lived.