The startup world has always lived by a familiar mantra: move fast and break things.
But lately, the things being broken aren’t just legacy codebases, outdated business models, or bloated internal processes. They are the lives and careers of the people who helped build the modern tech industry.
David was a senior engineer with eighteen years in the startup trenches. He had survived the 2008 crash, the mobile revolution, the rise of cloud computing, and more pivots than he could count. On every team, he was the steady one. The anchor. The person who knew how to scale a system without breaking it.
Then his latest startup announced it was becoming an “AI-first” company.
Within forty-eight hours, David and a dozen other veteran engineers were out. In their place came a smaller team of AI specialists and an automated development pipeline.
This is the part of the AI story we don’t hear much about.
David’s story doesn’t end with a triumphant pivot, a shiny new LinkedIn announcement, or a founder journey into the next big thing. It ends at 2:00 in the morning, working a McDonald’s drive-thru window.
That is not the version of the AI revolution that gets celebrated on conference stages.
But it is happening.
The Myth of the Reskilling Safety Net
The tech industry loves a comforting buzzword, and right now, that word is “reskilling.”
The pitch sounds reasonable enough: if your job gets automated, simply learn how to work with the machines. Take a course. Earn a certification. Update your LinkedIn headline. Problem solved.
Except for many mid-career professionals, the so-called safety net is full of holes.
After being laid off, David applied to more than 100 jobs. He had the certifications. He had the experience. He had the work ethic. What he didn’t have, apparently, was the right kind of newness.
Hiring managers kept telling him the same thing in different ways.
His skills were obsolete.
The brutal reality is that many startups are not looking for “reskilled” veterans. They are looking for younger, cheaper AI natives who don’t carry senior-level salary expectations, family obligations, or eighteen years of professional history.
The reskilling narrative has become a convenient escape hatch. It lets companies present displacement as opportunity while quietly pushing experienced workers out the door.
The Ageism Behind the AI Gold Rush
There has always been ageism in tech. That is not new.
But generative AI has given it a fresh excuse.
The assumption now seems to be that if you weren’t born into this AI wave, you will never really understand it. Never mind that many experienced engineers have already adapted through multiple technological revolutions. Never mind that judgment, context, and pattern recognition are built over time.
David found himself trapped in the middle.
He was overqualified for entry-level AI roles but considered too “legacy” for senior ones. The same experience that once made him valuable was now being used against him.
That should concern more than just the people being pushed aside.
When startups hollow out their veteran talent, they don’t just reduce payroll. They lose institutional knowledge. They lose judgment. They lose the human guardrails that keep teams from making expensive, obvious-to-someone mistakes.
A prompt may generate code quickly. But speed is not wisdom. And a junior team armed with AI tools may still lack the experience to recognize when a system is headed toward a dead end.
Seeking Agency in the Rubble
When traditional career paths close, some professionals are finding other ways forward.
They are building independently. They are using specialized tools to create businesses that once required entire teams. They are taking the organizational and technical skills they developed inside companies and applying them outside the corporate ladder.
That path can be empowering.
But it is not always immediately practical.
For David, the need to support his family came first. Independent building was not some romantic reinvention story. It was a luxury he could not afford in the moment.
That is the part we tend to skip over.
Not everyone gets to “pivot” gracefully. Some people have mortgages, kids, aging parents, medical bills, and no runway. For them, the AI transition is not an abstract discussion about productivity. It is rent. Groceries. Dignity.
The move from architecting systems to serving burgers is not a failure of character.
It is a warning sign.
The Cost of the Efficiency Obsession
Right now, the business world is obsessed with AI efficiency.
How many lines of code can be generated? How many support tickets can be resolved? How many people can be removed from a process?
Those metrics are easy to measure.
The human cost is not.
When a senior professional is replaced by an automated system, the company may gain speed. It may reduce expenses. It may impress investors with a leaner operating model.
But it may also lose something harder to quantify: context, empathy, ethical judgment, and the kind of practical wisdom that only comes from years of solving real problems under pressure.
We are building a tech industry that may become faster and cheaper while becoming less humane.
That is not progress. That is imbalance dressed up as innovation.
David’s night shift at McDonald’s is not an isolated personal tragedy. It is a symptom of a culture that values optimization over people and treats experience as overhead.
If we keep going this way, the startup ecosystem may become technically brilliant and socially bankrupt.
A Call for Narrative Honesty
It is time for the startup world to be more honest about the impact of AI.
Yes, AI will create new opportunities. Yes, some people will reinvent themselves. Yes, new tools can make individuals more powerful than ever.
But no, not everyone will smoothly reskill into a better job.
No, every displaced worker will not become an AI consultant, founder, or prompt engineer.
And no, companies should not get to hide behind the word “reskilling” while discarding experienced employees who helped build the systems those companies now want to automate.
We need a culture that values experience alongside innovation. We need hiring practices that look beyond the newest tools and recognize the enduring value of foundational skills. We need leaders who understand that human judgment is not a legacy feature.
David’s story is a warning.
The startup hustle was supposed to be about building the future. But if that future has no room for the people who helped build the present, it may not be the future we think we are building.
Beyond the McDonald’s Window
David still dreams of returning to tech.
He keeps his laptop in his car. Sometimes, during his break, he reads the latest AI research papers. He has not given up on the industry, even if the industry seems to have given up on him.
That image should stay with us.
Because every time we celebrate another AI milestone, there are people standing behind counters, driving rideshares, delivering food, or taking jobs far outside their field, wondering how they became obsolete so quickly.
The startup world can do better.
We can build a future where AI extends human potential instead of simply replacing people in the name of efficiency.
But that starts with telling the truth.
The current path is leaving too many people behind. And if we are serious about building something better, we need to value the humans behind the code before they disappear into the night shift.
Joel Comm is a columnist at Grit Daily, New York Times bestselling author, internet pioneer, and keynote speaker who has been helping people understand emerging technology since the early days of the web. Best known for making complex topics accessible, Joel speaks and writes about AI, entrepreneurship, digital media, and the future of technology in everyday life. He is the co-host of The Bad Crypto Podcast and host of AI for Everyone, where he explores practical, human-centered uses of artificial intelligence.
