The Loneliness of Innovation: What Jesse Anglen Taught Me About Digital Labor, AI, and the Human Cost of the Future

Jesse Anglen told me about a moment that still haunts him. It was years ago, before Rapid Innovation existed, before he'd built a company that now quietly automates entire workflows for enterprises. He was watching a factory worker in Malaysia—a woman whose name he never learned—feeding cardboard into a machine for eight hours straight. The same motion. Over and over. Her hands moved with the precision of someone who had done this ten thousand times, maybe a hundred thousand. When the shift ended, she didn't speak to anyone. She just left. And Jesse realized: She's already been replaced. She just doesn't know it yet. That image—of a human being performing a task so repetitive that a $200 sensor could do it better—became the seed of everything he would build. But it also planted a question he still can't fully answer: When we automate away the mundane, what happens to the people who built their lives around it?

I've been hosting this podcast long enough to recognize when a conversation shifts from theory to confession. My conversation with Jesse, founder and CEO of Rapid Innovation, was that kind of episode. On paper, his company does what dozens of AI firms claim to do: they build systems that replace repetitive human labor with intelligent automation. But Jesse doesn't sell the fantasy. He sells the reckoning. "We're not just disrupting processes," he told me. "We're disrupting people's sense of purpose." That clarity—the willingness to name the human cost alongside the efficiency gains—is what separates builders from opportunists. Jesse is self-taught, which means he learned technology the hard way: by breaking things, by failing in ways no one celebrates, by understanding that every line of code has a consequence in someone's real life. And when I asked him what keeps him up at night, he didn't mention competitors or market share. He said: "The people we're making obsolete. And whether they'll forgive us."

The evidence is already here, and it's not theoretical. Rapid Innovation works with clients who are automating customer service, data entry, logistics coordination—the exact jobs that employed millions of people a generation ago. Jesse shared a case study during our conversation: a mid-sized logistics company that used his team's AI to replace 40% of its back-office staff within eighteen months. The efficiency gains were undeniable. Errors dropped. Speed increased. Costs plummeted. But here's the part that doesn't make it into the press release: those workers didn't all get "reskilled" into better jobs. Some did. Many didn't. A few are still unemployed. One became a driver for a ride-share app—trading a desk job with benefits for gig work with no security. Jesse didn't sugarcoat it: "We did what we were hired to do. But I think about those forty people more than I think about the savings." This is the inconvenient truth of digital labor. It works. It's inevitable. And it's already creating a class of people who were good at their jobs right up until the moment their jobs stopped existing.

The mechanism here is subtle but ruthless. Unlike the Industrial Revolution, which replaced physical labor over decades and created new categories of work, AI is replacing cognitive labor at exponential speed—and the new jobs it creates require skills that can't be learned in a weekend course. Jesse explained it this way: "A factory worker in the 1900s could move from one assembly line to another. But you can't just move from data entry to machine learning engineering. The gap is too wide." What he's describing is a kind of economic loneliness—people who were valuable yesterday, invisible today, and unsure if there's a place for them tomorrow. And here's the part that should terrify every CEO, policymaker, and tech founder: we're building these systems faster than we're building the safety nets. Jesse's company is one of hundreds doing this work. The pace isn't slowing. The displaced workers aren't disappearing. They're just... somewhere else. And we're not asking where.

So what do we do? Jesse offered something I wasn't expecting: humility. He doesn't pretend to have the answer, but he's betting on a model that at least acknowledges the question. Rapid Innovation is experimenting with "transition clauses" in their contracts—requiring clients to invest a percentage of automation savings into retraining programs for displaced workers. It's not mandated. It's not scalable yet. But it's a start. "I can't stop the future," Jesse said. "But I can make sure we don't pretend it's costless." That distinction matters. Because the alternative—the path most of the industry is on—is to treat human displacement as an externality, a side effect, someone else's problem. And when millions of people become externalities, societies fracture. I pressed him on whether this was just guilt dressed up as strategy. He paused. Then he said: "Maybe. But if guilt makes me build better systems, I'll take it."

What Jesse Anglen taught me, in the end, is that innovation is inherently lonely. Not because the work is hard—though it is—but because it forces you to live in the gap between what's possible and what's right. He can build a system that replaces a hundred jobs in a hundred days. But he also has to live with the knowledge that those hundred people had families, mortgages, identities wrapped up in the work they did. And no amount of efficiency erases that. The loneliness isn't his alone. It belongs to all of us who are building, funding, or benefiting from this AI-powered future. We're all complicit. We're all responsible. And we're all going to have to decide whether we want to be remembered as the people who built a more efficient world, or the people who built a more humane one.

The future isn't coming. It's here. And it's asking us a question we can't automate away: What do we owe the people we leave behind?# The Loneliness of Innovation: What Jesse Anglen Taught Me About Digital Labor, AI, and the Human Cost of the Future

Jesse Anglen told me about a moment that still haunts him. It was years ago, before Rapid Innovation existed, before he'd built a company that now quietly automates entire workflows for enterprises. He was watching a factory worker in Malaysia—a woman whose name he never learned—feeding cardboard into a machine for eight hours straight. The same motion. Over and over. Her hands moved with the precision of someone who had done this ten thousand times, maybe a hundred thousand. When the shift ended, she didn't speak to anyone. She just left. And Jesse realized: She's already been replaced. She just doesn't know it yet. That image—of a human being performing a task so repetitive that a $200 sensor could do it better—became the seed of everything he would build. But it also planted a question he still can't fully answer: When we automate away the mundane, what happens to the people who built their lives around it?

I've been hosting this podcast long enough to recognize when a conversation shifts from theory to confession. My conversation with Jesse, founder and CEO of Rapid Innovation, was that kind of episode. On paper, his company does what dozens of AI firms claim to do: they build systems that replace repetitive human labor with intelligent automation. But Jesse doesn't sell the fantasy. He sells the reckoning. "We're not just disrupting processes," he told me. "We're disrupting people's sense of purpose." That clarity—the willingness to name the human cost alongside the efficiency gains—is what separates builders from opportunists. Jesse is self-taught, which means he learned technology the hard way: by breaking things, by failing in ways no one celebrates, by understanding that every line of code has a consequence in someone's real life. And when I asked him what keeps him up at night, he didn't mention competitors or market share. He said: "The people we're making obsolete. And whether they'll forgive us."

The evidence is already here, and it's not theoretical. Rapid Innovation works with clients who are automating customer service, data entry, logistics coordination—the exact jobs that employed millions of people a generation ago. Jesse shared a case study during our conversation: a mid-sized logistics company that used his team's AI to replace 40% of its back-office staff within eighteen months. The efficiency gains were undeniable. Errors dropped. Speed increased. Costs plummeted. But here's the part that doesn't make it into the press release: those workers didn't all get "reskilled" into better jobs. Some did. Many didn't. A few are still unemployed. One became a driver for a ride-share app—trading a desk job with benefits for gig work with no security. Jesse didn't sugarcoat it: "We did what we were hired to do. But I think about those forty people more than I think about the savings." This is the inconvenient truth of digital labor. It works. It's inevitable. And it's already creating a class of people who were good at their jobs right up until the moment their jobs stopped existing.

The mechanism here is subtle but ruthless. Unlike the Industrial Revolution, which replaced physical labor over decades and created new categories of work, AI is replacing cognitive labor at exponential speed—and the new jobs it creates require skills that can't be learned in a weekend course. Jesse explained it this way: "A factory worker in the 1900s could move from one assembly line to another. But you can't just move from data entry to machine learning engineering. The gap is too wide." What he's describing is a kind of economic loneliness—people who were valuable yesterday, invisible today, and unsure if there's a place for them tomorrow. And here's the part that should terrify every CEO, policymaker, and tech founder: we're building these systems faster than we're building the safety nets. Jesse's company is one of hundreds doing this work. The pace isn't slowing. The displaced workers aren't disappearing. They're just... somewhere else. And we're not asking where.

So what do we do? Jesse offered something I wasn't expecting: humility. He doesn't pretend to have the answer, but he's betting on a model that at least acknowledges the question. Rapid Innovation is experimenting with "transition clauses" in their contracts—requiring clients to invest a percentage of automation savings into retraining programs for displaced workers. It's not mandated. It's not scalable yet. But it's a start. "I can't stop the future," Jesse said. "But I can make sure we don't pretend it's costless." That distinction matters. Because the alternative—the path most of the industry is on—is to treat human displacement as an externality, a side effect, someone else's problem. And when millions of people become externalities, societies fracture. I pressed him on whether this was just guilt dressed up as strategy. He paused. Then he said: "Maybe. But if guilt makes me build better systems, I'll take it."

What Jesse Anglen taught me, in the end, is that innovation is inherently lonely. Not because the work is hard—though it is—but because it forces you to live in the gap between what's possible and what's right. He can build a system that replaces a hundred jobs in a hundred days. But he also has to live with the knowledge that those hundred people had families, mortgages, identities wrapped up in the work they did. And no amount of efficiency erases that. The loneliness isn't his alone. It belongs to all of us who are building, funding, or benefiting from this AI-powered future. We're all complicit. We're all responsible. And we're all going to have to decide whether we want to be remembered as the people who built a more efficient world, or the people who built a more humane one.

The future isn't coming. It's here. And it's asking us a question we can't automate away: What do we owe the people we leave behind?