A survey found that one in four workers think using LinkedIn for dating is fair game. This is despite the fact that LinkedIn’s own community guidelines explicitly prohibit…

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When I worked a corporate job, I had unlimited PTO. And I easily took 6+ weeks of time off every year. I have kids and followed their school schedule, taking time off for spring break and Christmas (for example).

Now, I’m a solopreneur. When I started my own business, I was certain that I wouldn’t want to change how much time I take off each year. But to make that happen requires a bit more planning.

In a corporate job, PTO just exists. You request the days, someone approves them, and your paycheck stays the same. As a solopreneur, you have to create that infrastructure for yourself. On top of that, you don’t have coverage or backup when you’re gone.

A fellow solopreneur polled her audience recently and found that one-third of solo business owners never take time off. If you don’t actively build time off into your business, it simply won’t happen.

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In June 2026, two major publications ran stories with a similar message: remote work might be hurting you. NPR published “People Love Working From Home. But Does It Love Them Back?“ The New York Times followed with “We Liked Remote Work. Then We Looked at the Data.“ Both cited the same study — Emanuel, Harrington, and Pallais, published in Science — which surveyed 588,000 Americans and found that workers in remote jobs experienced a 58% rise in hours spent alone and a 72% rise in spending their entire day with no human contact. This led to more anxiety, more depression, and more medication to treat these things.

The data is real. And the findings around isolation absolutely deserve attention.

But these articles treat isolation as though it’s baked into remote work itself, rather than examining what companies and workers can do about it. The headlines imply remote work is the villain — not the way companies have implemented it (or, more accurately, failed to implement it). Nor do they look at the broader question of whether the office was ever providing the social connection it’s now being credited with. And certainly not in the context of the “loneliness epidemic” that many experts agree is prevalent in American society as a whole.

The arguments against remote work are so predictable at this point: find a downside and frame it as “proof” that the whole model is broken. Meanwhile, there’s no discussion around whether the tradeoffs are worth any downsides. And all of these arguments pretend to put the employees’ interests first in RTO mandates, rather than looking at the company’s motives. (Spoiler: they’re not thinking about employee well-being at all.)

It was never about your loneliness

Every argument about remote work isolation rests on the assumption that in-person work provides positive social connection. The office is where meaningful human interaction happens!

But what about the interactions people are relieved to avoid? Microaggressions. Hostile managers. Office politics. The energy required to context-switch all day. The NPR piece quotes a researcher lamenting that remote workers miss out on casual interactions: “not even a wave to a barista.”

That’s the bar we’re supposed to use to measure wellbeing?

These articles pretend to care about people. We’re looking out for your loneliness. Or perhaps the reporters and researchers truly care about people and the impact of loneliness. But that’s not at all aligned with what CEOs have in mind when they order people back to the office.

The business case for bringing everyone back also doesn’t hold up. Studies consistently show that return-to-office mandates don’t have any impact on productivity or financial returns.

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Maybe these companies believe that they will benefit. Maybe they’re truly concerned about employee isolation (though doubtful). But research published in 2026 found that the only personality trait that consistently predicted objections to remote work was narcissism. The more self-important and entitled the company leaders, and the more they coveted power and status, and the more they favored return-to-office mandates.

Psychologists have long suggested that narcissism operates like a drug. Narcissists crave a regular supply of attention and validation. Remote work deprives leaders of that supply. These leaders see any kind of remote work as a threat to their authority and attention, and ordering people back to the office full time is a power and status move.

Loneliness is a convenient argument for something much simpler: leaders perceive remote work as a loss of control.

What remote work actually supports

“But people need human connection — the data is clear!” Yes. But conflating “human connection” with “office presence” is a faulty argument. People who study the loneliness epidemic in the United States find that the leading causes are technology, insufficient time with family, people being overworked, and living in a society that’s too individualistic. Remote work is not one of them.

In fact, if “being overworked” is a cause of isolation, that’s an argument in favor of remote work. Removing a lengthy commute from the day leaves more time to interact with other people. People can also get more rest if they’re working from home.

The loneliness framing fails to ask a basic question: what is gained? Remote work provides structural support for the people who need it most. Women choose remote work because remote work makes it possible to manage caregiving responsibilities (that still disproportionately fall on women). People with disabilities may find commuting draining or offices inaccessible. People face discrimination at the office (racism, misogyny, microaggressions) that drains energy and erodes mental health over time. The disparate impact of return-to-office mandates falls hardest on these groups.

Even if companies are well-meaning (and the narcissism research suggests many are not), the argument assumes that “loneliness” outweighs accessibility, safety, caregiving, and basic equity. When my kids were little, I had to drop them off and pick them up at day care. I had to take them to doctors’ appointments during the day. Even if I’d felt lonely, I wouldn’t have traded the flexibility that remote work gave me. The logistics of my life would have been exponentially harder if I were working in an office.

Some in-person connection with coworkers is valuable. But full-time office attendance is unnecessary. Atlassian found that a quarterly gathering does more for connection and belonging than daily commutes to the office.

So instead of asking “Is remote work bad for workers?” companies should be asking what they’re doing to support remote workers. The answer, for most, is: very little. Culture requires intentionality from leadership — whether the team is in one office or spread across ten cities.

If remote work is what allows you to be present for your family, manage your health, or do your best work without the overstimulation of an office — that’s reason enough. It’s worth being aware of the risks of isolation (as a whole, not just tied to remote work). But no one should pretend that isolation is the only — or most important — factor in someone’s work life.

Thinking about a career change? Download my guide: 5 Types of Career Pivots.

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Have a work story you’d like to share? Please reach out using this form. I can retell your story while protecting your identity, share a guest post, or conduct an interview.

Solopreneurs make dozens of business decisions every day. Which client to prioritize. Whether to raise rates. Which tool to try. In a corporate job, there are committees and approval chains to share the decision-making load. When you’re running a solo business, every call is yours.

When I was a product manager, I learned to sort decisions into two categories: ones you can easily reverse and ones you can’t. It sounds almost too simple, but it changed how quickly I moved and how much I deliberated. That same framework can be applied directly to running a solo business.

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Early in my career, I had to travel a lot. I was working for a financial technology company. A bank or credit union would buy the software, and I would travel to the customer’s location. These were mostly really small banks, with maybe only a few branches, in small towns.

Getting to them was an entire production, often involving a flight to a major airport, then renting a car and driving for a few hours. I started working for the company in 2006, before the iPhone. Heck, I wouldn’t even own a smartphone for another four years.

As such, I had to carefully prepare how to get around. I’d print stacks of Mapquest directions. Airport to hotel. Hotel to bank. Exploring the city was too risky (what if I got lost)? But there usually wasn’t much to see anyway. Food was limited to whatever was in my line of sight between the hotel and the bank.

I traveled heavily for about three years. Once I had my first baby in 2009, the company changed its overall method of delivering training to a web-based approach. My boss realized that she wouldn’t be able to retain a lot of the company’s talent with roles that required 50% travel. After the change, I only traveled a few times per year.

The towns I visited were sometimes so small that there were only a few main roads. Even so, I simply wasn’t brave enough to explore. I’d get done working for the day, grab a sandwich from Subway, and collapse in my hotel room with CNN and my laptop.

I thought about this while I was in San Francisco this past week. I bounced all over the city, relying on a combination of Google Maps, Waymo, and public transit. I looked at Yelp reviews of local restaurants, eager to try a little dive dinner in Haight-Ashbury or a walk-up dim sum place in Chinatown.

I wonder about everything interesting I probably missed in these small towns. Navigating the roads, restaurants, and landmarks was just so different back then.

On one of my first trips, as a new employee, I was headed to western Kansas from the company’s headquarters in Topeka. Another employee was with me to show me the ropes of working on-site at a customer’s location. He drove, and we sat in silence for most of the trip. We barely knew each other and had little to talk about (though we later became friends). He would often call his girlfriend on his cell phone and talk to her for hours at a time while I sat, listening to his half of the conversation.

We were driving along the roads of Nowhere, Kansas, when he announced that we were taking a detour to visit the world’s largest ball of twine. There was nothing I could do but agree. We got out of the car and walked around the “landmark.” In today’s world, I would have been snapping photos. But back then, I didn’t have a smartphone, and it never occurred to me to bring a digital camera on my trips.

Part of me is sad that I have no documentation of my travel. I never wrote anything down, even though I experienced a lot. The only time I took photos was when I was sent to Kalispell, Montana, and planned ahead to visit Glacier National Park.

I don’t even remember what the world’s largest ball of twine looks like... only that we made the stop.

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In February 2013, Yahoo CEO Marissa Mayer banned all remote work. The move surprised everyone: Mayer was a new, young CEO, and Yahoo had a well-established remote work policy. The stated reason was collaboration and innovation, which Mayer thought was lacking.

The real context was much simpler: Yahoo was losing the competition with Google and Facebook, and Mayer needed to look like she was doing something. The RTO mandate was the “something.”

Fast-forward thirteen years. The mandate didn’t save Yahoo. Verizon acquired it for $4.5 billion in 2017, merged it with AOL, then wrote down the value by more than it paid. At the time of acquisition, Forbes reported, “The biggest story is how Yahoo squandered its massive head start and let each wave of new technology in search, social, and mobile pass it by. Yahoo remains largely the same company it was a decade ago.” Yahoo was sold again in 2021, and the Forbes sentiment remains true.

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When companies are struggling, they change the rules workers operate under and call it “strategy.” But these moves are almost always a cover for a business problem leadership can’t figure out or won’t name. And, over and over, we’ve seen that the companies that abandon their core principles under pressure don’t save themselves. They just lose what made people want to work there in the first place.

When the company you joined stops existing

The company formerly known as Facebook (now Meta) debuted at number one on Glassdoor’s Best Places to Work in 2011 and held the top spot three times. By 2023, it had fallen off the top 100 list entirely.

In April 2026, Meta deployed what it calls the “Model Capability Initiative”: software that captures employee keystrokes, mouse movements, clicks, and periodic screenshots. CTO Andrew Bosworth confirmed there is no opt-out. (European employees are exempt, because GDPR won’t allow it.) Employees have said that the initiative makes them really uncomfortable.

In June 2026, Meta laid off 8,000 employees, and several thousand more were reassigned to the Applied AI Engineering unit — and had no option to transfer elsewhere. Some have reportedly taken to calling themselves “draftees.”

The company that once topped every “best workplace” list is now tracking every keystroke in some type of nightmare dystopian workplace and telling thousands of employees they can either accept a role they didn’t sign up for or leave. The company still exists. But the company people joined? That’s long gone.

Starbucks has drifted from its own identity, too. For years, Starbucks built its brand on being the “third place” — a community space between home and work. But Starbucks has had an identity crisis over the years, amidst sagging performance. Should it optimize for mobile orders? But then that detracted from the “third place” vibe. Should it add more seating inside the stores? But then that made the stores more crowded. Employees have been dragged along for every iteration, and meanwhile, the company has taken a strong anti-union stance, trying to prevent workers from organizing to protect themselves.

The Starbucks experience changed, and so did the working conditions. What was once a company built around the idea of community became, for many of its workers, a volume operation that happened to sell coffee.

Nothing tells you more about how a company’s values than how it treats its employees when it is struggling. Webflow, once a company known as a great place to work, laid off employees in May 2026 by locking them out of their laptops at 7 am with no advance notice. Employees discovered they’d been impacted when their Slack and email access vanished — before any email from HR arrived.

And I’ve personally experienced this. I worked for a company that proclaimed to be “people-first.” The company began to struggle during my year there, leading to me losing my job unceremoniously. I was shocked by how it unfolded, since I had believed that this company cared about its employees — that’s what it had proclaimed, every step of the way.

Your values are the only constant in your career

Roger Lynch, CEO of Condé Nast, was recently on the podcast “Channels” with Peter Kafka. In 2020, the employees indicated that they wanted the company to focus more on diversity initiatives and sustainability. The global media conglomerate put together internal teams to address both. In the interview, Lynch said:

“It’s discouraging to see all these other companies dropping these initiatives, but it only says one thing: that it never was a core value, it was a convenience.”

“Companies have to adapt to survive — you can’t expect them to stay the same forever.” That might be the claim of Meta, Starbucks, or even my former employer. True. But there’s a difference between adapting your strategy and abandoning the principles that attracted your workforce. Yahoo opted for command and control of the office. Meta turned to surveillance.

You can’t get attached to a company’s stated principles. Unfortunately, there’s no way to predict which companies will abandon everything when the market gets rough or the industry changes. Companies may last decades and go through several iterations, and new leadership may usher in entirely new values (just look at Twitter, now X).

Every company will put itself first. The question is whether you’re building a career that depends on a company continuing to be the company you joined. Because if there’s one pattern that holds, it’s this: you can’t trust the company not to change in ways that you fundamentally disagree with.

The only thing you can truly depend on is what you build for yourself. That’s not saying you should quit when there’s company upheaval (that’s not realistic in the current job market). But it’s worth asking whether the stability you think you have is real, or whether it’s contingent on a company continuing to honor the values it used to recruit you. And it’s worth thinking about what you’re willing to tolerate to stay, even if the company has changed.

Thinking about a career change? Download my guide: 5 Types of Career Pivots.

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Have a work story you’d like to share? Please reach out using this form. I can retell your story while protecting your identity, share a guest post, or conduct an interview.

\Most people use AI like a search engine: type a question, get an answer. It’s an easy, well-understood use case for tools like Claude, Gemini, and ChatGPT.

But for solopreneurs, the real value is in setting up dedicated projects with a lot of background information about your business. Most AI tools let you create project workspaces where you can add context about who you are and what you do. You can attach relevant files, and keep the conversation focused on one specific idea or area of your business.

I have 23 AI projects in Claude for everything from strategic planning to building a website. Some are used a few times per month, while others I rely on almost daily.

Here are a few of my favorites.

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Every promotion moves you one step further from the work itself. First, you’re doing the work. Then you manage the people who do the work. Then you manage the people who manage the people who do the work.

At each step, the daily reality of the job gets a little further from your line of sight. You may no longer be aware of the tool that no longer meets the team’s needs, or the client requests that have started absorbing entire afternoons.

I went through a few iterations of this throughout my career. I moved from a role in enterprise software implementation to the company’s product manager. Though I was no longer talking directly to customers, I was still “touching” the product constantly as I tried to figure out how to make it better.

Then I moved to an executive role. Though I was still the product manager (dual role), I no longer had time to tinker with the product. I was meeting with my team of seven people, preparing reports, and organizing vast swaths of data for the development team. The longer I was in the role, the more I realized that I no longer understood what the new features of the product did. I was also removed from the pain points that customers were experiencing — the kind that the customer service team had to deal with every day (and made their work harder).

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The further you move up in an organization, the easier it is to lose sight of what the people below you do all day. It’s even true of self-employed people who may start to outsource some work. It’s imperative to stay in touch with the work in some shape or form. Being too removed from the work is what causes bad decision-making.

The disconnect happens because of distance

Each rung up the ladder adds a layer of abstraction between you and the work.

When I was an individual contributor, I lived inside the daily friction of customers. As a manager, I was only hearing about it. My boss (COO) and the CEO only heard the summaries I provided. At larger companies, these are reduced to quarterly metrics.

By the time the information reaches the top, it’s been compressed so many times. The context is gone, and the context is how people actually understand the problems. (This is part of why so many people feel trapped in the middle as a middle manager.)

When I moved into a product manager role, I was responsible for reviewing issues reported by customers. I wasn’t receiving them directly, but I looked at the tickets. The tickets would contain notes from the customer support rep (if a phone call) or the direct emails from the customers. I could get a sense of the urgency or level of pain that the issue was causing. But the other members of the executive team (the COO and CEO) only saw numbers: how many customers reported the issue? It was my job to convey urgency, but this was often stacked against other priorities.

In Glassdoor’s Worklife Trends 2026 report, mentions of “disconnect” in reviews that reference leadership rose 24% year over year. “Miscommunication” rose 25%, and “misaligned” jumped a whopping 149%. Employees are well-aware of the structural distance — and when they feel like they’re not heard, they may check out entirely.

Part of the problem for managers is the endless barrage of meetings and reports. Your calendar is filled with strategy reviews, daily standups, and quarterly planning, and you stop having time to understand the work itself. You spend your days staring at dashboards and tracking outputs instead of staying tuned in to how work actually gets done.

A manager who only sees the metric can’t tell the difference between “the team is behind schedule” and “the team is behind schedule because something in the process is completely broken and the workaround takes three times as long.”

Freeing up time to stay involved in the work

I remember the intensely uncomfortable feeling that I no longer understood the product that I was supposed to manage. My days no longer had any time built in to get my hands on the product and play around.

But the fix isn’t to swing to the other extreme and do everyone’s job for them, which is what some managers do. That’s a failure mode all on its own: the leader who refuses to let go and hovers over every decision. (And founder mode is the worst version of this.)

Stepping back so people can do the work they’re good at is the entire point of building a team — you hire smart people precisely so you can let go.

The ideal is informed distance: close enough to understand how the work actually gets done, far enough to let people do it without you breathing down their necks. You step aside on every single detail, but stay connected to the how.

I’m an advocate for AI when it’s actually useful (i.e., not slop), and it has a place here: buying back in a manager’s day. I think back to the hours spent prepping for meetings, compiling information scattered across five different systems, and turning raw numbers into a summary for the CEO — a lot of that is now work that can be done with AI.

And the point isn’t more output. If done correctly, that reclaimed time flows back into understanding the work itself. In an episode of the podcast How I AI, host Clare Vo says:

I know so many people who feel like they’re in meeting after meeting after meeting. And when they’re not in meetings, they’re preparing for meetings… You would much rather your managers be hands-on doing the work, filling a creative impulse, than prepping for meetings.

Management roles can often suck the fun out of work. There’s creativity in being an individual contributor that disappears with a promotion to a manager role. Imagine if managers actually had the time for creativity. They’re more connected to the team and get to keep work interesting.

Most of the conversation about AI at work is about cutting headcount or increasing output. But for managers specifically, the most valuable thing added is giving them more time for attention — the time to actually watch (or put their hands on) the work again.

For managers

The structure of most managerial roles causes a disconnection that most managers feel. The system moved you away, then handed you responsibilities that make it impossible to stay connected.

The best leaders stay curious about what the work feels like, not just what it produces. They know the difference between a number on a report and the context behind it. They get that story by talking to the people living it. That only happens when you have time in your day for curiosity. The management team above you won’t give you that time, so you’ve got to find ways to claim it for yourself.

For self-employed people

The same management scenario applies the moment you stop being a team of one. When you hand off work — to a contractor, a VA, or a subcontractor — you need to understand more than just the end result.

You should absolutely hire people more capable or more specialized than you, but it’s too easy to forget about the work altogether. Distance creates the same blind spot for a solopreneur, the same way it does for a VP. You stop thinking about the “why” or “how,” and the work loses meaning.

So as you hire help, resist two urges: the pull to micromanage (let the person do their thing!) and stepping so far back that you lose sight of the work. Stay close to the process even when you’re no longer the one doing it.

The goal is always to keep your eyes on the work without constantly putting your hands all over it. And to build time into your day that lets you do just that.

Thinking about a career change? Download my guide: 5 Types of Career Pivots.

If you want to support my work as a writer, you can subscribe to receive additional issues I publish.

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Have a work story you’d like to share? Please reach out using this form. I can retell your story while protecting your identity, share a guest post, or conduct an interview.

When I worked a corporate job, I was often in charge of purchasing decisions. At one company, my team had inherited a lot of homegrown solutions. I saw the limitations of these products and was quick to replace them if the budget allowed.

In corporate settings, “build vs. buy” is a well-known decision framework. Companies weigh the cost of developing something in-house against purchasing an outside solution. It’s often simple math: how much time and resources does it take to maintain this internally versus what does it cost to buy or outsource?

Solopreneurs face the same decision constantly. However, the stakes are a lot higher when it’s your own time and own money as decision factors.

Knowing when to DIY and when to hire out is one of the most important operational decisions a solopreneur makes — and one that’s hard to figure out until you’ve been through it a few times.

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A few days ago, Webflow laid off a significant portion of its workforce with no warning. Employees found out when they couldn’t log in to their work laptops or Slack for the day.

It was so bad that one employee posted this on LinkedIn, tagging the company CEO Linda Tong:

Webflow, a tool for designing websites, was once considered a great place to work. Now, it finds itself in the spewing the same BS that we hear from startups every few days: “Today, we’ve made the difficult decision to reduce the size of our workforce.”

It happens over and over. Abrupt layoffs repackaged as “restructuring” or “adapting to the world of AI.” Every time, the response follows the same script. We share the LinkedIn posts, we express outrage, we say, “This is horrifying.” Then we move on until the next company finds itself in the temporary spotlight when it makes a similar announcement.

And yet we keep not asking the obvious question: why does this keep happening?

The answer is brutally simple. The only reason this keeps happening in the U.S. is because nothing prevents it. Outside of unionized workers — which account for just 10% of the U.S. workforce — American employees are largely at-will. They can be fired at any time, for any non-discriminatory reason, with no notice and no severance required. We’ve built an entire employment system around the assumption that workers are disposable. All the power is held by the employer.

I’ve written before about how we underestimate the risks of traditional employment. The never-ending barrage of tech layoffs has proven to be one of the starkest examples of how this can play out.

What worker protections actually look like

I’ll frequently share screenshots like the LinkedIn post above. Without fail, someone will comment, “If you don’t like the way these companies function, start your own business.” (I did, as a matter of fact, but that’s not the point here.)

The power employers hold is a uniquely American experience, as is the idea that employees are entitled to nothing when their employer decides to cast them aside.

As part of my client work, I’ve spent a lot of time researching employment laws in other countries — particularly around how termination works. The contrast with the U.S. is striking.

Here are a few examples from my research.

Japan

Japan takes worker protections very seriously. Employees can only be dismissed for “objectively reasonable grounds.” Employers have to demonstrate they’ve done everything possible to avoid termination — document issues, offer performance improvement opportunities, consult with labor unions, consider reassignment — before resorting to it.

The standard notice period is 30 days (or 30 days’ pay in lieu). Japan even offers Employment Adjustment Subsidies to help companies retain workers rather than lay them off. (Imagine if that existed here.)

Netherlands

The Netherlands doesn’t allow at-will employment. Employers typically need permission from a government agency or a court to dismiss someone, and they need a valid reason. Notice periods range from one to four months depending on tenure, and employers are required to pay mandatory “transition compensation.”

Philippines

The Philippines has enshrined “security of tenure” in its labor laws. Employees can only be dismissed for legally recognized causes. For business-related reasons like redundancy, the employer must give 30 days’ written notice to both the employee and the Department of Labor. The employee is paid severance based on the length of their tenure.

South Africa

South African labor law requires dismissals to be both “substantively fair” (valid reason) and “procedurally fair” (proper process). For redundancy, employers must go through a formal consultation process — notifying affected employees, applying fair selection criteria, and considering alternatives to termination.

Turkey

Turkey requires valid reasons for all terminations, with notice periods ranging from two to eight weeks based on tenure. Employees with at least one year of service receive one month’s gross salary per year of service in severance. Pregnant employees, those on parental leave, and union representatives are protected from dismissal except in cases of gross misconduct or company closure.

This wouldn’t fly anywhere else

Every one of these countries requires a valid reason for termination. Most mandate weeks to months of notice. Most require severance. Several give employees the right to challenge their dismissal and be reinstated with back pay.

This is the polar opposite of U.S. at-will employment, where most workers can be let go at any time with no notice, no reason, and no recourse.

Japan’s framework is particularly striking when held up against what happened at Webflow. Japanese courts allow redundancy as a valid reason for dismissal, but with strict restrictions. Employers have to demonstrate a genuine business necessity. And they have to prove they did everything in their power to avoid a layoff first.

Now think about Webflow. Webflow said it was restructuring “because AI.” This is a company that has raised hundreds of millions of dollars in venture capital funding and had a $4B valuation in 2022. If AI truly was the reason (and that’s a generous reading), they could have chosen to do more with the same people. Instead, they chose to do the same with fewer people.

Under Japan’s labor laws, that argument would fall apart. Under the Netherlands’ system, they’d need government permission first. Under Philippine law, the dismissals could be invalidated for procedural failures alone (no notice period).

But in the U.S.? Nothing. No mandatory notice, no required severance, no mechanism for employees to fight the layoff. Hundreds (if not thousands) of employees have their lives upended. And once the company gets past the bad PR, they get to operate as they were before.

Power is 100% in the hands of the company. And when fear of a layoff becomes the driving force in how people think about their jobs, that’s not an individual problem. It’s a structural one.

These companies deserve to be publicly dragged. Because right now, nothing else is holding them accountable.

Thinking about a career change? Download my guide: 5 Types of Career Pivots.

If you want to support my work as a writer, you can subscribe to receive additional issues I publish.

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Have a work story you’d like to share? Please reach out using this form. I can retell your story while protecting your identity, share a guest post, or conduct an interview.

A lot of people go out on their own after a layoff, especially in the current economy. And when they do, they tend to focus on what they don’t know: how to find clients, how to set pricing, how to market themselves. But a long corporate career also builds some core competencies that translate directly into running a solo business.

I spent 15 years in a corporate environment, including a role on an executive team. I pivoted to a new career, and then found myself laid off 18 months later. I made the snap decision to start my solo business the next day.

While a lot of aspects of starting a solo business were intimidating, there were a few things I knew I could do well, based on my corporate experience. If you find yourself in a similar situation, here are a few corporate skills that might lend well to your solo career.

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The other day, someone asked me if my clients would start demanding that I lower my prices “because of AI.”

The primary way I earn money is by working as a freelance content marketer for B2B SaaS companies. It’s a question that a lot of people are facing right now — freelancers, employees, anyone whose work has gotten faster or more efficient thanks to AI tools. The assumption baked into that question is that if something can be produced faster, it must be worth less. Or that workers should be producing significantly more of it for the same price.

The pressure to lower prices or produce exponentially more “because AI” rests on a specific assumption: that the value of work is measured by how long it takes to produce it. If something gets done faster, it should “cost” less in some shape or form.

That assumption was always wrong.

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The “do more with less” trap

The demand that AI should make workers cheaper or exponentially more productive is the latest version of a pattern that has been squeezing workers for years. Automation did it before AI. “Lean” management did it before automation. CEOs have long demanded “more with less” — AI is just the latest mechanism.

The basic way economists measure productivity is in output per hour. If you produce more output in the same number of hours, that makes you more productive. No wonder CEOs are salivating.

I had written almost this entire draft and was ready to publish when the CEO of ClickUp (a project management software) decided to further illustrate my point. He wrote on X/Twitter:

Today we reduced headcount by 22%. The business is the strongest it’s ever been. So I think it’s important to be direct about what I’m seeing and why.

This wasn’t about cutting costs. Most savings from this change will flow directly back into the people who stay. We’ll be introducing million-dollar salary bands. If you create outsized impact using AI, you’ll be paid outside of traditional bands.

The primary change is that we’re reconstructing around what I call 100x org. The goal is 100x output. The roles required to build at the highest level are fundamentally different than they were a year ago.

The 100x org is actually heavily dependent on people — infinitely more than today. This is only possible with 10x people that have embraced and adopted new ways of working.

(There was a lot more after this about the 100x org… it was a long post.)

Translation: “This isn’t about cutting costs. I just don’t give AF about the people who work for me.”

He doesn’t care about the former employees and families of nearly 25% of people who are now unemployed at the whim of the CEO.

He doesn’t care about the employees left behind, because 100x output is insanity. And even though he says that they will be increasing the salaries to match the impact… is it 100x? No. The difference between the impact, what flows to the company, and what flows back to the employee is what’s outsized.

He said the quiet part out loud (at least, according to a CEO’s way of thinking): AI isn’t about freeing up anyone’s time, as it promises. It’s about creating and requiring more work.

The infuriating part of his word salad of a statement was saying that the 100x org is “heavily dependent on people.” Just… not the people that the company had already hired, apparently.

How to think about your value at work

100x org aside, productivity gains that flow entirely to the employer or client have absolutely no benefit for the worker. What is the point of a 100x org? It’s a means of extracting more output for the same money (or the same output with fewer people, or for less money).

The conversation about AI and compensation — whether that’s salary negotiations, freelance rates, or even workload expectations — needs reframing now, before this intense and unrealistic focus on increased output becomes the new baseline.

For employees: When a manager suggests that AI should allow the team to take on twice the workload, that’s a change in the requirements of the role — and workers need to treat it as such before it becomes the default expectation. 100x is ridiculous. He’s probably blowing smoke, but it’s smoke he chose to blow in public. I know for many people, quitting is not an option, but I hope the CEO’s post scares away any new talent.

If you take AI out of the picture and were asked to take on more responsibilities, you are being asked to do more for the same pay (which isn’t right). Even ClickUp’s promise of higher salary bands isn’t aligned with the 100x output the CEO is expecting.

I’ve long advocated that people research a company before applying for a job, and public statements like this are self-filtering. Don’t apply unless you plan to create value only for the company, and not for yourself.

For the self-employed: Thinking about client expectations in a world of AI, the frame is simpler (though the stakes may feel high because your livelihood depends on clients). The deliverable is the deliverable. If the quality hasn’t changed, the price hasn’t changed. No “extra output” for the same cost, and certainly not a lower cost. How you produce the work is your business — literally.

I’ve used AI in many parts of my business. I used to have a manual process (copying/pasting) from client briefs to my own project management tool. Automation and AI now do that formatting for me, saving time with every deliverable. I have one client who requires heavily researched articles. Claude now does the bulk of the research, and I check the results to make sure it’s correct and relevant to what I’m writing. These are process improvements, not a devaluation of my work.

If you’re navigating these conversations right now, don’t concede the premise that “faster” means “cheaper.”

This latest wave of “do more with less” doesn’t have to be the one that pushes people over the edge.

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At any given time, I’m juggling multiple clients. That means I’m juggling context for multiple projects, background information on various companies, and a lot of deadlines. Some of my clients give me a steady stream of work each month, while others pop in with a request every few weeks.

Whether you’re coaching, doing creative work, or have long-term retainers, most solopreneurs eventually find themselves managing multiple clients simultaneously. The number of clients you take on directly impacts your income, but more clients also means more complexity.

In my corporate life, I worked as a product manager at a software company. Even though my work is very different now, much of the project management follows the same basic concepts.

When running a solo business, you need to estimate your capacity, plan for future work, and not lose track of 100 moving parts.

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In 1944, the CIA published the Simple Sabotage Field Manual — a guide for ordinary citizens in occupied countries to disrupt their workplaces from within. The tactics are delightfully mundane: refer all decisions to committees, bring up irrelevant issues in every meeting, and haggle over the precise wording of every communication. The genius was that it all looked like normal organizational dysfunction. Sabotage was indistinguishable from business as usual.

Eighty years later, the tactics are different, even if they have the same end result.

In mid-2022, 70% of workers said it was a good time to find a quality job. By 2026, a Gallup survey found that number had flipped: only 28% agree, with 72% saying it’s a bad time. “Don’t quit” has become the default career advice.

Labor economists call this era “The Great Stay.” But that framing makes it sound like a choice, when really, it’s more like being stuck. The next company will be the same or worse. Or the fear is that the job market is so frozen there’s nowhere to go at all. People are living with career discomfort, and wondering if it’s the new baseline, rather than a temporary rough patch.

So what do people do when they can’t leave?

They resist from the inside.

The new performance theater

Think back a few years, and remember quiet quitting? Resistance showed up by doing the job as described, nothing more, and definitely nothing extra. But the resistance has evolved into something more active and more creative. The driving factor is forced AI adoption, and workers are pushing back in ways that would make the CIA’s sabotage manual proud.

Companies are mandating AI use, tying it to performance reviews, and treating skepticism as an undesirable trait in its workers rather than a legitimate response. Meta created internal AI leaderboards, and CNBC reported that almost every Fortune 500 company is now tracking overall AI usage. The message to employees is unequivocal: use the tools, or else.

But token usage is a terrible proxy for productivity — and workers know this. A term has emerged for gaming the system: tokenmaxxing. Running up token spend with bad prompts and producing volume without value. Workers see through the metric and are playing the game while knowing it’s absurd. On top of that, AI usage can cost companies thousands — if not millions — of dollars.

And it goes beyond gaming metrics. A Fortune report from April 2026 found that 29% of workers were intentionally sabotaging their company’s AI rollout — out of genuine fear that their roles will become obsolete. Sabotage ranges from putting a company’s proprietary data into an AI tool to intentionally generating low-quality work to make AI appear less effective.

One of my friends saw a job posting recently for a role to come in and train a company’s AI systems. She said, “So I’m training the thing that will replace me?” She wondered if she should go in and intentionally sabotage it.

The response from leadership is always the same: workers should just adapt. But adaptation requires trust — trust that the tool helps the employees, not just the company. When AI fluency is tied to performance reviews while layoffs are happening simultaneously, workers are interpreting the message in front of them: they’re being asked to build the thing that replaces them.

Nilay Patel put it well on a recent Decoder episode: the lack of worker empowerment is “causing a specific kind of nihilism” — and the people pushing these mandates have “all greatly contributed to” it. It’s a rational response to a culture of fear.

An alternative that used to seem riskier

Some workers reach a different conclusion: if no company will listen, leave the corporate system altogether.

At a minimum, the math has changed. The current job market is terrible for finding another corporate role. But that same instability makes the solopreneur path look less risky by comparison. If both options come with uncertainty, at least one of them comes with some control.

Sabotage and disengagement might provide a temporary outlet, but they’re unfulfilling. Most people want to feel like they’re contributing something that matters — not just running out the clock until the next round of layoffs.

And companies are (inadvertently) making this transition easier. The same organizations cutting full-time roles? They’re increasing contractor budgets. They want flexibility without commitment, a workforce they can scale up and down on a whim. It’s a model that self-employed people can use to their advantage. You want to treat labor as interchangeable? Fine. But the arrangement works both ways. Contractors can bounce from client to client, and losing one contract isn’t the same as losing an entire salary overnight.

As a solopreneur, I purposefully don’t require retainers or minimum commitments from my clients. While logistically a bit trickier to juggle, it makes my work an easy “yes” because clients know they can come to me when they need me.

The labor market is genuinely bad, and most people can’t just walk away. But for workers who’ve already mentally checked out — who’ve already stopped caring — the question becomes: if the anxiety about job security is going to be there either way, would they rather be anxious while building something of their own?

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The general public’s discomfort with AI is well-documented and growing. The tech industry thinks we should all be clamoring for what it’s offering, and most people… aren’t. A Gallup poll found 31% of Gen Z is angry about AI, and 51% are anxious about it.

I use AI every day. It’s found its product-market fit as a business tool. That’s how I interact with it: in a work context. I’m sure it would be the same, even if I were working for a company and not self-employed.

I’m not naive about the risks. The environmental concerns are real. Data centers are wildly unpopular, expensive, and may have unknown health risks. The over-hype is real, and a bubble may still be looming. But the tool itself is useful as a business tool. The genie isn’t going back in the bottle, and my stance is that we have to figure out how to live with it — like every other technology revolution.

This relationship between me and technology goes back more than 20 years. I’m also not new to people’s pushback. It was literally my job to convince people to try something new for a large portion of my career.

Yet I feel significant tension in writing and talking about something that is genuinely useful and also poses enormous threats to people, both their jobs and potentially all of humanity. I’m angry beyond belief at how companies are rolling it out and how it’s impacting employees.

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And so I wanted to explore my longstanding career that’s been built on finding ways to use technology and how AI is both “just another chapter” and “fundamentally different.

Then and now: what’s changed

My first job was working as a bank teller at a community bank in my hometown. I stayed at the job through college, eventually working as a mortgage underwriter in the 2003/2004 era. Interest rates had dropped, people were refinancing like crazy, and the loan officers were overwhelmed. I offered to help, which involved learning a bunch of new software.

The following year, the bank decided to digitize all of its paper loan files. At the time, this wasn’t common. Most banks still relied on enormous file cabinets of paper files. But I, along with a few other college students, was assigned the task of sending paper documents through a desktop scanner.

It was unbelievably tedious work. And at first, it seemed like brainless work. But I quickly realized a problem: inconsistency. Each college student organized the digital files in different folders, with different names. Loan officers couldn’t find anything in the digital version. As a result, the loan officers wouldn’t use the digital copy, and would pull out the paper file.

And I set out to fix the problem. I came up with an organization system and naming convention. Once the already-scanned files were fixed, I advocated that the paper files be moved so that the officers couldn’t rely on paper: they’d be forced to use the digital version. Eventually, everyone accepted the change.

After college, I went to work for the company that made the bank software I’d been using. I helped other banks implement digital loan files, along with other loan management tools. One of the final products I worked on (later as a product manager) was a tool that could automatically recognize the data from a bank customer’s tax return and analyze it, saving bank staff from repetitive data entry.

I saw software as a way to solve a problem: large banks have nearly unlimited resources for all types of tasks. Small banks don’t. Automation lets smaller organizations compete with larger ones. They don’t have to spend time on the boring, repetitive work and can instead focus on relationships with customers.

That core principle came with me when I started my own business. I knew I could do more if things simply hummed along in the background. I could focus on client work instead of things like “organizing files” or “manually creating checklists of fifteen items.” One of my friends joked, “I didn’t know how you could do the work of ten tireless humans. Then I realized all the systems that you have running in the background.”

And then along came AI.

AI: Different and yet the same

The current framing of AI is dominated by either hype (”AI will replace everything!”) and backlash (”AI is terrible, and I refuse to use it, ever”). There’s a third position that doesn’t get a lot of attention: people, like myself, who have found ways to make work easier.

Here’s a specific example: One of my clients gave me a spreadsheet of 27 rows. Each row contained some changes that they wanted to make to blog posts, with the changes embedded as bullet points within a cell. The final deliverable back to the client wouldn’t be a spreadsheet: it needed to be a Google Doc of the changes. So I had Claude extract the data from the spreadsheet and put it in a Google Doc for me. That took about one minute. If I had to do it manually, it would have taken at least an hour, maybe more, to do all of the formatting.

That’s the “genuinely useful” category. There’s no glory or anything to be gained in me manually formatting a giant Google Doc. The client is paying me for the writing and editing, not my ability to copy/paste from a spreadsheet.

That’s where I see similarities between the anti-AI position and what I heard throughout my career implementing software. Refusal to use AI is giving up legitimate ways to make work easier. I compare it to the example of extracting data from tax returns when I worked on bank software. The process of keying in numbers was just repetitive, manual work. Interpreting the numbers was part that required a human.

Where I feel the tension most, as I write about AI, is that my experience is not the same as most of corporate America. I have the freedom to explore and find what works for me (and what doesn’t work). Many companies are taking an iron-fist approach and insist that employees “use AI”… without providing any guidance.

And that is the disconnect. I know from experience that a free-for-all doesn’t work. Not everyone has a “software brain” and can immediately see how to use software to do work differently. They need to be given step-by-step instructions.

This is further compounded because AI has a much less obvious path than automation tools. Automation typically follows a specific process: if one thing happens, then this other thing happens. AI is much more open, like my spreadsheet example. That’s a thing I needed one time, and will probably never need again. It’s not a repeatable process. Yet I reached for AI as a tool in my toolbox, knowing that it could do what I needed.

What companies should be doing is providing specific training. That’s always the key to successful software implementation. I used to train a small group of “cheerleaders” within a bank. They would, in turn, figure out how to apply the software to their specific processes. And then they would train everyone else on the specifics.

Instead, CEOs are yelling, “Figure it out!” while simultaneously saying, “You will be evaluated on your use of AI on your upcoming performance review!”

On an episode of Decoder, Dr. Adam Dubé said the following about AI in education:

There’s some research that looks at school climates and teachers who get demotivated for their use of generative AI in education and what causes demotivation. And for them, it was being forced to use these systems when there was a top-down rule that you had to use generative AI…That is demotivating for educators. They don’t like being told which tools to use because it feels like it’s removing their autonomy. And so whenever we remove workers’ autonomy or their own sense, basically their control over their own work environment, people get demotivated.

Automation very clearly removes boring and tedious work. But AI is often a push (from the top) to replace creative work. Or to simply “create more!” without answering the question, “But why are we creating more…?”

That’s where companies are getting it wrong. They’re applying AI to the wrong use cases, and why people working with these scenarios are resisting (and demotivated). It shouldn’t be used to replace the parts of work that people find fulfilling. Yet that’s the push in the attempt to squeeze every last drop from worker capabilities.

This is why my feelings around AI are complicated. I’ve seen exactly how it saves time and effort. And I think most companies are doing it wrong, and workers have a right to feel frustrated by the threats to their jobs because their employers are trying to apply AI to everything, instead of the right things.

I think a “never AI” stance is going to leave some people — especially small or solo businesses — struggling to keep up. They simply won’t be able to keep up with people who do things like “use AI to save a few hours formatting a spreadsheet.”

If you want to learn real-life use cases for automation and AI at work, sign up to attend one of my free live sessions.

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When I first started my freelance writing business, I assumed I should find clients who would put me on retainer. The appeal seemed obvious: steady income for me, predictable working relationship for the client. I even knew how to structure retainer agreements based on my prior roles at marketing agencies.

But a few months into a solo career, I was willing to take any work that came my way. Which was primarily project-based work, not retainers. I quickly built a business based on ad hoc assignments from many clients, rather than relying on a few.

The conventional wisdom would say that I was “doing it wrong.” Every solopreneur forum, coach, and freelancer community says the same thing: lock in recurring clients. But after three-plus years of running my solo business on almost entirely project-based work, I’ve found the opposite to be true. Chasing retainers isn’t the only path to a sustainable solo business… and it might not even be the best one.

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In 2021, I left my career at a tech company after 15 years and decided to pursue content marketing and journalism. The first marketing agency that hired me assigned writers to levels — 1 through 9 — based on experience. I came in at a level 2, the second-lowest. Fifteen years of product management, executive leadership, and deep domain expertise in financial technology didn’t “count” for anything. In this new world, I was a beginner.

That part of career pivots is often uncomfortable. We hear about the bold decision to quit. We hear about the eventual success story. But there’s a space in between where everything you knew in your prior career doesn’t quite translate yet.

It’s humbling in a way that catches people off guard, especially at mid-career, when you’ve spent years not having to prove yourself. I went from being the most knowledgeable person in the room to the least. And for a while, that felt like starting over from zero.

But it wasn’t zero. Not even close.

Nearly 70% of U.S. workers considered changing careers in early 2025. That number is a reflection of the current economy more than anything else — people can’t find new jobs in their current industries, or the industries themselves are shifting underneath them. More than 38% of new freelancers in 2025 were previously laid off.

Those numbers suggest something that the fear of starting over tends to obscure: the gap between “I left” and “I landed” closes faster than most people expect. The expertise from a previous career doesn’t evaporate. It’s waiting for the right context.

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What actually transfers

The narrative around career pivots tends to focus on what gets lost: title, salary, status, and the expertise that took years to build. But the more interesting story — and the one I’ve lived — is what transfers to a new career path.

After I quit my fintech job, I worked at two different content marketing agencies. Eighteen months later, I was laid off. The job market had tanked. I decided to go out on my own as a freelance writer, something I’d been considering. The layoff forced me to make a decision: try to find a job in a crappy job market, or make the leap.

What I didn’t expect was how much my fintech background would become a competitive advantage. I assumed that most clients would see me the way the first content agency did: a level 2 writer, with very little experience.

But most writers can’t speak the language of banking technology. Most fintech experts can’t write. The combination turned out to be rare and valuable.

The same pattern showed up in other ways. The systems thinking I’d developed as a product manager — implementing automation, streamlining processes, evaluating software — transferred directly to running a solo business. I’d spent years at a small company finding ways to make processes faster and better for my team. As a solopreneur, those same instincts kicked in. Except now the team was just me, and I reaped all the benefits.

The broken promise and the new path

Over the past few years, something has shifted in how people think about career risk. It used to be common sense: a corporate salary equals security. Self-employment is the risky path.

Like many people, I grew up believing that if you stick with your employer, stay loyal, and put in the time, you’re going to be rewarded. I think people just don’t believe that anymore. The social contract between employer and employee has broken. If the loyalty won’t be reciprocated, the job becomes unfulfilling. On top of that, people are constantly nervous about layoffs. Or restructuring. Or the next round of cuts.

Here’s how I think about it now: both paths carry risk.

With a traditional employer, one day you have a salary, and the next day you might have nothing. When I was laid off from the marketing agency, that’s exactly what happened. No warning, no safety net beyond a piddly amount of unemployment. The U.S. has almost no protections for employees (whereas other countries have things like mandatory notice periods and mandatory severance).

Working for myself, if I lose a client, that’s a fraction of my income — not my entire income. I purposely work with a couple of core clients and then take on additional projects as they come. My income is more variable, sure. But it’s never 100% to zero. I feel more secure now than I would if I were working in a corporate job (And I realize how counterintuitive that sounds to someone who grew up thinking self-employment was the riskier path.)

Self-employment isn’t a consolation prize for people who couldn’t make the traditional path work. It’s increasingly what sustainable careers look like — especially for people who’ve already navigated one or two major shifts. And the assumption that any particular industry is safe? That’s gone.

If you’re sitting in a job that no longer serves you, wondering if you have what it takes to try something else: you probably do. The expertise you’ve built isn’t wasted. It’s more portable than you think. It’s only a question of how long before your old career catches up with your new one.

Thinking about a career change? Download my guide: 5 Types of Career Pivots.

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In 1996, a physics professor named Alan Sokal submitted a paper to Social Text, an academic journal of cultural studies. The paper, titled “Transgressing the Boundaries: Towards a Transformative Hermeneutics of Quantum Gravity,” proposed that quantum gravity is a social and linguistic construct. The journal published it.

Three weeks later, Sokal revealed that the paper was entirely made up. He’d written the paper to test whether an academic journal would publish anything that sounded good and confirmed its editors’ ideological leanings. It did. The “Sokol affair,” as it came to be known, kicked off a debate about intellectual rigor in academia that lasted for years.

A Planet Money episode from February 2026 explored what’s known as the “replication crisis” in social science: the pattern where published studies can’t be reproduced when other researchers try to verify them. Economist Abel Brodeur, a professor at the University of Ottawa, has been organizing events called “Replication Games,” where teams of social scientists audit published papers by re-running the original code and data.

What they’re finding isn’t always fraud. Sometimes it’s honest errors in coding or data handling. But sometimes it’s something more uncomfortable: researchers who massaged their datasets until they got a statistically significant result. Brodeur admitted to doing exactly this himself as a master’s student. He ran analysis after analysis on data about smoking bans until he finally got a result worth publishing. He later decided to publish the more accurate (and less exciting) null result instead — and went on to build the Institute for Replication to address the problem at scale.

Today, the packaging has gotten a lot more sophisticated, and answering the question, “What is real?” is even more difficult to answer.

The problem is older than AI

There’s a tendency to talk about AI-generated misinformation as though we were living in some golden age of accuracy before large language models arrived. We weren’t.

This problem is as old as research. Sokal proved that we’re willing to believe what we want to believe, even from seemingly credible sources. Brodeur shows us that research is sometimes manipulated. That’s to say nothing of the endless spree of disinformation on The Internet.

Now consider what happens when AI enters the process, which is already our reality. In December 2025, Sam Rodriques, CEO of FutureHouse and Edison Scientific, claimed to accomplish six months of doctoral-level research in a 12-hour run with his AI agent, Kosmos. Rodriques walked through how the tool identified a genetic mechanism for type 2 diabetes — connecting a variant, a binding protein, and a gene involved in pancreatic function — by analyzing massive amounts of raw data that would take a human researcher much longer to sort through.

Stories like what Rodriques shared are genuinely impressive. And it’s easy to imagine how tools like this could accelerate scientific discovery in ways that matter (drug development, disease research, climate modeling, etc).

But the same qualities that make AI useful for research also make it dangerous. AI models hallucinate and present hallucinations with the same confidence as factual information.

A Stanford RegLab/HAI study found that general-purpose AI models hallucinate between 69% and 88% of the time on specific legal queries, using state-of-the-art models. The researchers noted that these models “often lack self-awareness about their errors and tend to reinforce incorrect legal assumptions and beliefs.”

The lack of self-awareness is the alarming part. A human researcher who massages data is making a conscious choice (even if it’s a rationalized one). A journalist who spins a story knows the angle they’re taking. AI has no clue that it’s wrong. It presents fabricated information with the exact same tone it uses when presenting accurate information.

The Sokal hoax was discovered because Sokal himself revealed it. Academic replication errors can take years or decades to surface. AI can generate plausible-sounding misinformation instantly, at scale, and no one is around to reveal the errors. The same dynamics that made any research vulnerable — confirmation bias, incentive structures, lack of verification — now operate at the speed of typing into a chatbot. And these systems that claim to “democratize access” also make it easy for misinformation to propagate (like the guy who claimed that he cured his dog’s cancer with ChatGPT).

We’re right to be skeptical

None of this means AI is useless. But it does mean the question of “what is real?” now applies to virtually every piece of information we encounter — including (maybe especially) the information that sounds the most authoritative.

Cory Doctorow is a science fiction writer and tech journalist, and is well-known for coining the phrase “the enshittifcation of the internet.” He put it bluntly on Offline with Jon Favreau:

“The big problem with AI is that it’s just not real. No one’s ever lost as much money as they have on AI. AI is the losingest proposition in business in the history of the world.”

AI companies are selling a story — that AI can replace human workers — because that story is what investors want to hear. Whether or not AI can actually do the work is almost beside the point. The narrative has become as important as the product.

Companies are making claims about AI that are extraordinarily difficult to verify. When a company says “AI replaced 10 people,” what does that mean, exactly? What’s the output comparison? What’s the error rate? What’s the timeline? In most cases, we have no idea, because the data either doesn’t exist or isn’t shared. A Harvard Business Review analysis from early 2026 laid it out clearly: companies are laying off workers based on AI’s potential, not its actual performance.

The question of “what is real?” has always required effort to answer. Academic papers require peer review (but it might be lacking). News stories require fact-checking (but may still have bias). Corporate claims require scrutiny (and rarely get it). What’s changed isn’t the need for verification. It’s that the effort required has increased exponentially, because AI can produce information with such speed and at scale. The tools for manufacturing a wholly convincing unreality have gotten exponentially easier to use.

When the people making the tools say one thing, and the people using the tools experience something else entirely, it fuels this credibility problem with AI.

I think far too few people (and even fewer corporations) share real, tangible, honest examples of how AI has made their work better. Even in examples of scientific research, we’re right to ask, “Can those results be trusted?”

Personally, I use AI a lot. I try to share specific examples of my use cases, because I realize that I’m fighting the “AI can do everything! It’s amazing!” narrative and a proliferation of slop. But I’m also one person, and I don’t claim anything at the scale of “AI has changed my life and made my work 10,000% better.”

The best defense is the same one it’s always been: question the source, verify what you can, and be especially skeptical of the claims from people who have an incentive to demonstrate a specific result. That’s the lesson from Sokal, 30 years later.

Thinking about a career change? Download my guide: 5 Types of Career Pivots.

If you want to support my work as a writer, you can subscribe to receive additional issues I publish on solopreneurship and career pivots.

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Have a work story you’d like to share? Please reach out using this form. I can retell your story while protecting your identity, share a guest post, or conduct an interview.

At one point in my life, I managed a team of seven. My days consisted of 1:1 calls, performance reviews, and running interference between the team, other departments, and customers.

I thought that’s what I wanted: the perceived power and responsibility of being a manager. But in reality, it was very stressful.

Today, I have been a solopreneur for three years. The assumption is that solo businesses are a starting point. You launch alone, build momentum, hire employees, and scale. That’s the entrepreneur’s playbook, right?

But over 80% of small businesses in the U.S. have no employees, according to the U.S. Small Business Administration. For many of us, that’s not a limitation. Staying solo is a deliberate strategy that prioritizes control and flexibility over growth for growth’s sake.

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I saw a thread online recently about a pattern that probably sounds familiar: the employees who raise concerns, suggest improvements, or push back on bad decisions are frequently rebranded by their managers as “having a bad attitude.” The label sticks whether or not the feedback had merit.

It’s worth pausing on who these employees usually are. The people who complain are often the ones who still care. They want to be successful at their jobs. They want the workplace to be better, too. Complaints — real ones, not venting — are a form of participation. They’re evidence that someone still believes the company is capable of improving.

So what does it mean when those same employees stop complaining?

In the U.S., employee engagement has dropped to a 10-year low of 31%, with 17% of workers actively disengaged. Globally, 1 in 5 employees now report feeling trapped in ongoing job dissatisfaction. Companies tend to treat the absence of pushback as a sign that things are working. But silence is often the last sound before employees walk out the door.

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I worked at a software company for 15 years. For a long time, I advocated for fixing anything that I perceived as broken: processes, messaging, shortcomings in the product itself. As I moved up the ranks and eventually was promoted to an executive role, I hit the ceiling of what could be fixed. Management simply wasn’t willing to address some pervasive underlying issues.

I stopped complaining because it was useless. I stopped caring. And I quit.

AI is the newest thing employees are being told to stop complaining about

Disengagement is accelerating right now because companies are pushing AI adoption on employees who have real, valid, and specific concerns. Yet CEOs are dismissing those concerns as resistance to change.

On top of how AI is used at work, there’s a whole additional layer of concern about AI as an industry. A Pew survey found that 73% of AI experts believe AI will have a positive impact on how people do their jobs. Only 23% of the American public agrees. That’s a 50-point gap between the people building AI and the people living with it.

The tech journalist Nilay Patel captured the broader frustration in a recent episode of The Vergecast:

“The AI industry is staring at these polls that say everyone hates them. And it’s because they are asking for so much. They’re asking for a lot of power. They’re asking for a lot of land to build data centers. They are asking for every stick of RAM that has ever existed in the history of the world. They’re asking to scan every book without payment.

Whatever it is that they’re asking for, they’re doing it without permission and they’re asking for a lot and they have not given back a product that makes people feel the way that the internet made them feel or the smartphone made them feel or YouTube made them feel. It just doesn’t exist yet.”

To be clear: AI is a useful tool. I use it every day. The critique here isn’t about AI itself. It’s about what happens when companies deploy it in a way that ignores legitimate concerns and how the vast majority of people feel about the technology.

Most executives haven’t grasped that there are three layers of mistrust stacking on top of each other. Employees don’t trust AI as a technology, for reasons that are well-documented in public surveys. Separately, employees don’t trust the way their employer is rolling it out — often with mandates, with performance reviews tied to “AI fluency.” Thirdly, the social contract has long been broken with sweeping layoffs, so employees don’t trust that their employer won’t replace them with AI at the first chance they get.

You could dismiss the workplace mistrust as resistance to change. But when the same people are also skeptical of AI in their personal lives, “resistance to change” isn’t a satisfying explanation. What’s being resisted is something more specific: being told to adopt, quickly and without question, a technology that the general public is nervous about and that has not yet proven itself to be “life-changing” in the way that AI leaders have promised.

What happens after silence

Most of the writing about employee disengagement focuses on what companies lose: productivity, revenue, and institutional knowledge. That framing is aimed at executives and misses the other side of the equation entirely.

When companies mislabel that skepticism as a bad attitude, employees eventually stop voicing it. It probably won’t lead to a mass exit, because, at present, employees think, “Where else can I go? Will the next company be the same way?” Instead, they start to wonder, “What else can I do with my career? How can I regain control?”

When you stop trying to fix a system that doesn’t want to be fixed, you start seeing the potential exit paths more clearly. The mental energy you were spending on advocacy becomes available for something else — a job search, a side project, or a plan to leave entirely.

If you’ve stopped speaking up because no one was listening, that’s information worth taking seriously. Not every company deserves your energy, and the decision to stop pushing isn’t a failure on your part. Sometimes it’s an accurate read of the situation and a deliberate move to protect your mental health.

In the current labor market, the realization that no one is going to listen is often less specific to their current employer. It’s not, “This company won’t listen.” It’s “No company will listen” (at least, not in a way that matters). There’s no “grass is greener” outlook.

Final thoughts

If you’ve given up on the idea that they can change, you have to think about your next steps. Is it laying low and doing the best you can to avoid a layoff? Or is it something else entirely?

A lot of entrepreneurs and solopreneurs can trace their exit from corporate life back to a moment like this. Not a dramatic blow-up. Not a single bad boss. Just the realization that nobody was going to listen, no matter how well they made the case.

If you’re reading this and recognizing yourself in the silence, pay attention to what it’s telling you. Silence at work is rarely the end of the story. It’s usually the start of a transition.

Thinking about a career change? Download my guide: 5 Types of Career Pivots.

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