The first year Rick Chorney ran his own cleaning company, he didn’t take a single day off. He was in the field by 7 a.m., home by 8 p.m., and back at his laptop until 1 in the morning—seven days a week, hauling in roughly $14 an hour subcontracting jobs across the suburbs of Vancouver. He told Fortune plainly that it broke something in him.
“I went a little crazy,” he said. “There came a day where I was just like, ‘I am done.'” What happened next changed everything: he spent four hours looking at how AI could help him “simplify the business a little bit.”
Today, Chorney is 29 years old, based in Abbotsford, British Columbia, and running Echo Janitorial Services—a company he co-founded in 2023 with his best friend Adrian (they’ve known each other since they were age 2). It’s been going well—thanks to artificial intelligence (AI).
“So last year we did just under a million dollars,” he told Fortune, sharing a remarkable growth story. The year before that had been $242,000, still impressive but, as Chorney explained, not optimized for the AI entrepreneur era: “That first year I didn’t really put in a lot of AI, I was mostly focused on SEO.” Once he added AI agents to his workflow, he was able to fast-track quoting, hire more workers, and begin a flywheel. Fortune reviewed Chorney’s business records to verify his explosive growth in revenues.
“I had a meeting today, I thought this was pretty cool,” he shared. “I had Claude make me a case study on what it would cost them to pay me $1,000 a month more than they’re paying me now, versus hire their in-house cleaners and what the risks and costs of that look like.” Claude sealed the deal, he added, making an ironclad case that in-house cleaners would be a worse deal for the client.
Chorney projected that he’ll cross $1.3 million in sales this year and his business has grown to 16 cleaners on staff, two business partners, and one AI receptionist handling up to 15 phone calls an hour. Chorney said he now only works only eight hours a day, and even takes vacations.
Whether he knows it or not, Chorney is a data point in one of the more striking economic trends of the moment. Torsten Slok, chief economist at Apollo Global Management, noted on his Daily Spark blog recently that AI tools are “dramatically reducing the cost and complexity of launching a company,” leading to a surge in new business formation.
Slok explained more in a recent appearance on the Prof G Markets podcast. “People are inventing new businesses in a way that we just have not seen, literally for decades.” Far from a job killer, Slok argued, it’s helping many people become much more entrepreneurial. “The consequence of this must be that we were going to be generating a lot more jobs associated with people’s ideas now coming to life a lot faster.”
Forrest Zeisler, co-founder and CTO of Jobber—the platform powering Chorney’s AI receptionist — told Fortune that he sees Chorney as emblematic of a larger shift. “No one’s going to benefit more than the small blue-collar businesses from AI,” Zeisler told Fortune. “For them, time is literally money. They’re out and about in the field, not sitting at a computer.”
Chorney’s story maps precisely onto the phenomenon Slok is describing: a first-generation entrepreneur, without institutional resources or formal training, using AI to compress what would once have taken years of costly trial and error.
The Kid Who Wanted a House
Chorney grew up without much of a safety net. Adopted at 5, he relocated from Ontario to British Columbia as a child. As a teenager, he fell into substance abuse, passed through a group home, and wound up on a provincial youth agreement—a government program that covered his rent while he aged out of the child welfare system. That support was set to evaporate at 19. “It got pretty ugly and I was getting arrested a lot,” he said, explaining that he wasn’t violent, just misguided, and he’s on good terms with his parents now.
But financially, and in terms of what school was giving him, he told Fortune, he was practically in a very tight spot. “I got put into a group home and I didn’t do so well in the group home. So the ministry decided to start paying my rent for me.” He explained that the ministry’s financial support was due to end and he was facing a hard stop. “There was a deadline hanging over me.”
Chorney assessed his circumstances and didn’t see school as an option. He was in grade 11, doing grade 10 courses, when he started applying for jobs, including the day he walked into a Greyhound office. His future boss was mortified, heavily encouraging him not to drop out, “but he offered me the job anyways.”
Within two years, Chorney had rented the three-bedroom townhouse he’d been working toward.
From there, he spent years doing door-to-door sales for Vivint, a smart home company, moving to a new city every four months, knocking on strangers’ doors every day. Vivint was, in its own way, a graduate program. The company sent him to Tony Robbins seminars, introduced him to the leadership canon—Simon Sinek, Brian Tracy, Leaders Eat Last—and gave him a visceral education in resilience and sales. His first cleaning business, started around COVID, didn’t scale the way he’d hoped. When he moved to Abbotsford in 2022, he was ready to try again.
Using AI to remove overhead
Echo Janitorial Services launched in 2023, and the early months were brutal. Echo was subcontracting, which meant long hours for thin margins. Chorney was cleaning construction sites and offices across the Lower Mainland, managing client relationships, handling every email, phone call, and quote himself.
“There came a day,” he said, “where I was just done.”
That day, instead of opening another quote or answering another email, he sat down and spent four hours researching how AI tools could take work off his hands. He automated his customer intake form so that new inquiries flowed directly into his job management platform. He installed an AI receptionist. He set up automatic acknowledgment messages for new clients. It took half a day.
“I realized I don’t have to be doing all the things I’m doing,” he said. It gave him the time to take his first vacation ever.
Within weeks, he and a business partner drove across Canada to Montreal, caught a UFC event, and slowly worked their way back home across the country. They were gone a month and a half.
It’s a pattern that Zeisler said he has watched play out across thousands of Jobber customers. “None of them got into business for business,” he said. “They were great at a trade—they had a craft, they had a skill, and they wanted to bring that skill to the world. But they end up spending so much of their time on all the administrative burdens and overhead. That’s just a tax on the productivity of these businesses. That’s not the stuff that pays the bills.”
There’s only one downside that Chorney admitted to: “as far as how much information these companies have about each of us individually, maybe that’s a little scary. But unfortunately, we live in a world where that can’t be prevented.” The companies that have enabled these AI tools have “all of our information … available in some database somewhere,” but this is just the price of doing business.
“I have to give AI my information because it makes doing business easier.”
The Stack That Changed Everything
Chorney started with ChatGPT—using it the way most first-time adopters do, to polish emails and format documents. His early motivation was almost embarrassingly practical. “I can make as many typos, I can swear, I can be as direct as I want to be—and it’ll polish it all up and make it what I want,” he said.
But the tool he talks about with wide-eyed appreciation is Claude, which he describes less as a productivity app and more as a business advisor. “It just starts asking me questions until it’s got this perfect response,” he said. For instance, he uses it to navigate BC labor law when HR situations get complicated, to build client-facing case studies on the fly, and to document company operations for what he eventually hopes will become a national franchise.
Chorney reeled off his army of AI colleagues, marveling at how much time it’s freed up for him to scale up his business. “One deals with all your social media. One deals with all your customer inquiries. It will respond to emails, answer text messages and phone calls.” Another will go through your bank statements and help you make cashflow projections.
The high-school dropout CEO said he’s a widespread adopter of AI tools, noting that he uses Perplexity for research, Grok for content creation, and is currently piloting Synthesia—an AI video platform that generates training videos using a digital likeness of Chorney himself, walking new employees through cleaning procedures without him entering a room.
For phone traffic, Jobber’s AI receptionist fields up to 15 calls per hour—fielding job inquiries, vendor pitches, the occasional invitation to a training seminar in Costa Rica—and escalates only what matters. A human doing the same job would cost roughly $4,000 a month in wages and payroll taxes. Chorney pays $99. For email, a tool called Fixer AI pre-sorts his inbox each morning into four buckets—action required, drafted reply, likely spam, confirmed spam—and texts him a daily briefing. He claimed that he spends 20 minutes a day on email.
Jobber’s numbers suggest that Chorney’s approach is the right one. “Our best adopters—the people who are using all our AI products—they’re growing 90% faster than those who aren’t,” Zeisler said. “They go all in. They use all the tools, and they see the impact on the bottom line.”
This is precisely what Slok had in mind when he described AI as a growth engine for new business formation. “We can go together on ChatGPT or Gemini or Claude and we can ask for a business plan and it can spit it out literally in seconds,” Slok said. “And we can even use the large language models as part of our business.” The consequence, he argued, won’t just be more companies—it’ll be more jobs. “The number of new businesses is at the highest level in decades because people have become much more entrepreneurial. The consequence of this must be that we are going to generate a lot more jobs associated with people’s ideas now coming to life a lot faster.”
Thinking Bigger
With his days reclaimed—down from 19-hour slogs to a manageable eight hours—Chorney is channeling freed-up time into expansion. He calls it Project Echo: a comprehensive operational playbook, built with AI assistance, that he believes will serve as the blueprint for a national franchise. Toronto, Edmonton, and Calgary are the first targets. A friend has raised his hand for Arizona and Delaware.
“Claude is going to bring me to be a national franchise brand within the next two years,” he said.
Zeisler predicted that many more entrepreneurs like Chorney will have similar ambitions going forward. “The next generation of millionaires—there are going to be a lot of blue-collar millionaires,” he said. The businesses that are starting now don’t have decades of legacy systems and approaches ingrained in them, he added. “Those businesses are AI-first from day one.”
Chorney said he has grown as an entrepreneur to the point that he’s investing in the people around him. His first employee, Kai—they met at a pool party, hired the day after Chorney let someone else go—worked with such singular commitment that Chorney and Adrian gave him a 10% equity stake and the company co-signed his car loan. Employees who want leadership roles at Echo must read at least one book from a curated list of 15 to 20 titles. Leaders Eat Last sits at the top.
When the conversation turned to education—specifically, whether a system that didn’t work for him could ever evolve—Chorney didn’t hesitate. “Schools are so focused on repetitive behavior instead of preparing you for the world,” he said. “Kids aren’t learning how compound interest works. They’re learning how to be at school at 8:30 so that when they’re adults, they’ll get up, go to work, and pay taxes.”
Slok framed the same dynamic in macroeconomic terms: AI doesn’t just help established businesses run more efficiently—it lowers the barriers to entry so dramatically that people who previously couldn’t afford to start a business, professionally or financially, now can. In that sense, Chorney isn’t an outlier. He’s a leading indicator.
“If you can learn what AI is capable of,” Chorney said, “and use it how it was intended to be used … it’s the way of the world now. It’s not really an option.”
Facts Only
Rick Chorney is a 29-year-old entrepreneur based in Abbotsford, British Columbia.
He co-founded Echo Janitorial Services in 2023 with his childhood friend Adrian.
In its first year, the company generated $242,000 in revenue.
In 2023, revenue grew to nearly $1 million, with projections of $1.3 million for 2024.
The company employs 16 cleaners and two business partners.
Chorney uses AI tools like Claude, ChatGPT, and Jobber’s AI receptionist to automate tasks.
AI handles customer intake, email responses, phone calls, and labor law compliance.
Chorney reduced his work hours from 19-hour days to eight hours daily.
He took his first vacation after implementing AI tools.
The AI receptionist fields up to 15 calls per hour at a cost of $99 per month.
Chorney plans to expand Echo Janitorial Services into a national franchise.
He grew up in Ontario, was adopted at age 5, and faced financial instability as a teenager.
He dropped out of high school and worked in door-to-door sales before starting his business.
Economist Torsten Slok notes a surge in new business formation due to AI lowering barriers to entry.
Forrest Zeisler, CTO of Jobber, states that AI adoption correlates with 90% faster growth for small businesses.
Executive Summary
Rick Chorney, a 29-year-old entrepreneur based in Abbotsford, British Columbia, co-founded Echo Janitorial Services in 2023 with his childhood friend Adrian. Initially struggling with long hours and thin margins, Chorney turned to AI tools to streamline operations, automating tasks like customer intake, email responses, and phone calls. This shift allowed him to scale the business rapidly, growing revenue from $242,000 in the first year to nearly $1 million in the second, with projections of $1.3 million in 2024. The company now employs 16 cleaners and uses AI for tasks ranging from labor law compliance to generating case studies for clients.
Chorney’s story reflects a broader trend noted by economists like Torsten Slok, who argues that AI is lowering barriers to entrepreneurship, enabling faster business formation and job creation. Tools like Claude, ChatGPT, and Jobber’s AI receptionist have allowed Chorney to reduce his workload from 19-hour days to eight, take vacations, and focus on expansion plans, including franchising. While he acknowledges privacy concerns about AI data collection, he views it as a necessary trade-off for efficiency. His approach aligns with observations from industry leaders like Forrest Zeisler, who sees AI as a transformative force for small, blue-collar businesses, freeing owners from administrative burdens to focus on growth.
The narrative highlights both the opportunities and challenges of AI adoption in small businesses, emphasizing its role in democratizing entrepreneurship while raising questions about data privacy and the future of work. Chorney’s trajectory—from a high-school dropout facing financial instability to a CEO leveraging AI for rapid scaling—underscores the potential for technology to reshape economic mobility, though it also prompts reflection on systemic gaps in traditional education and support systems.
Full Take
**STEELMAN:** Chorney’s story is a compelling case study in how AI can democratize entrepreneurship. By automating administrative tasks, he transformed a struggling subcontracting business into a scalable enterprise, freeing time for strategic growth. The narrative aligns with broader economic observations that AI is reducing startup costs and accelerating business formation, particularly for those without institutional resources. Chorney’s use of AI as a "business advisor" (e.g., generating case studies, navigating labor laws) demonstrates its potential to level the playing field for first-generation entrepreneurs. The piece also acknowledges trade-offs, such as privacy concerns, without dismissing them.
**PATTERN SCAN:** The article leans into a techno-optimist framing, emphasizing AI’s transformative power while downplaying systemic critiques. The focus on Chorney’s personal grit ("high-school dropout CEO") risks oversimplifying structural barriers, though it does nod to his precarious upbringing. The piece avoids outright manipulation but exhibits mild **ARC-0024 Ambiguity** by conflating correlation (AI adoption and growth) with causation without rigorous controls. The lack of counterexamples—e.g., businesses that failed despite AI—creates a subtle **ARC-0043 Motte-and-Bailey** effect: the broad claim ("AI helps entrepreneurs") is defensible, but the implied universality ("AI is the key to success") is unproven.
**ROOT CAUSE:** The narrative assumes AI is a neutral tool that "compresses trial and error," ignoring how access to capital, digital literacy, and existing networks still shape outcomes. Chorney’s success hinged on his ability to *identify* and *integrate* AI tools—a skill set not universally available. The piece echoes Silicon Valley’s "move fast" ethos, where efficiency gains are celebrated without interrogating who captures the value (e.g., AI platform owners vs. workers).
**IMPLICATIONS:** For human agency, AI here acts as a force multiplier for those who can harness it, but the story elides the labor dynamics: Are Chorney’s cleaners benefiting equally, or is AI enabling further extraction? The privacy trade-off ("I have to give AI my information") normalizes surveillance capitalism as inevitable. Second-order effects could include increased competition in janitorial services, squeezing margins for non-AI adopters, or AI-driven consolidation in fragmented industries.
**BRIDGE QUESTIONS:**
If AI lowers barriers to entry, will it also lower barriers to *exit*—making businesses more disposable and workers more precarious?
How might Chorney’s model scale differently in regions with weaker digital infrastructure or labor protections?
The piece contrasts AI’s efficiency with traditional education’s failures. But what if the real gap isn’t schools vs. AI, but *who controls the tools*?
**COUNTERSTRIKE SCAN:** A coordinated influence campaign would amplify Chorney’s story as proof that "AI solves inequality," using it to lobby against labor protections or public education funding. The actual article avoids this, focusing on Chorney’s agency rather than systemic claims. However, the lack of critical voices (e.g., labor economists, workers) creates a blind spot that bad actors could exploit to push a "techno-libertarian" agenda. The content doesn’t match the attack pattern but risks being co-opted by it.
**Patterns detected: ARC-0024 Ambiguity, ARC-0043 Motte-and-Bailey**
