I was reading the most recent jobs report when it hit me.
The numbers looked fine. Job growth came in well above analyst expectations. Unemployment held near historic lows. By traditional measures, the labor market appeared healthy.
But it didn’t match what I’m seeing on the ground.
After more than two decades advising small business owners and entrepreneurs, I talk to a lot of people navigating the real economy, not the reported one. And what I’m hearing doesn’t sound like a healthy labor market. It sounds like a system in transition that our measuring sticks weren’t built to capture.
The headline number always looks better than the story underneath it. When you break down where the jobs actually came from, the picture gets complicated fast. Strike recoveries. Sector shifts. Government payrolls shrinking. And underneath all of it, a growing layer of fractional workers, 1099 contractors, and task-based engagements that the report can’t see at all.
That gap between what the dashboard shows and what people are actually living, that’s what I want to talk about.
Work and Jobs Are Not the Same Thing
This distinction matters more than most people realize.
Work is the collection of tasks that need to be done in a business. Writing content. Managing finances. Responding to customers. Scheduling logistics. Analyzing data. Work is task-based. It always has been.
A job is the package a company builds around that work. Salary. Benefits. A defined role. Forty hours a week of your capacity in exchange for a predictable bundle of compensation. The job was never really about the tasks. It was about buying a block of human capacity and filling it with work.
For most of the 20th century, that package made sense. Humans were the only ones who could do the work. So companies bought humans in bulk, a 40-hour weekly bucket, and kept them busy.
AI is breaking that logic apart.
AI Doesn’t Eliminate Work. It Eliminates the Job as the Container for Work.
This is the shift most headlines miss.
When a company deploys AI to handle research, drafting, scheduling, data analysis, and reporting, the work still gets done. The tasks are completed. What disappears is the need to hire a full-time employee to execute them.
Think about what that means. A marketing manager role that once required 40 hours a week might now require 8 hours of human attention after AI handles the heavy lifting. The work remains. The job as a 40-hour capacity purchase no longer makes economic sense.
Amazon saw a version of this coming back in 2005 with a platform called Mechanical Turk. The idea was simple. Break large volumes of repetitive work into small, discrete tasks and route them to human workers on demand. They called them Human Intelligence Tasks or HITs.
Back then, the work was largely manual and repetitive. Think resizing a thousand images, tagging photos, transcribing audio, or categorizing data. Requesters posted batches of tasks with a small per-task payment, sometimes just a few cents, and workers chose which jobs to pick up. It was a marketplace for microtask execution, not skilled labor. The reason humans were needed wasn’t complexity. It was simply that automation couldn’t handle it yet.
Here’s the irony. Most of what MTurk was built for, those repetitive, high-volume, low-skill tasks, can now be automated entirely. AI and scripting tools handle image processing, data entry, and content categorization without a human in the loop.
So the coin flipped.
The human intelligence tasks that matter today aren’t the simple repeatable ones. They’re the complex, judgment-driven ones. Reading a room. Managing a sensitive client interaction. Exercising discretion in real time. Making calls that require experience, accountability, and contextual awareness. The tasks that AI can’t reliably handle yet.
Same concept Amazon identified in 2005. Completely different skill level required. The marketplace for human task work didn’t disappear. It moved up the value chain.
AI has now made it economically viable to unwrap that package.
The New Division of Labor: Automated Tasks vs. Human Intelligent Tasks
Here’s how work is being reorganized.
Every job, when broken down, contains two categories of tasks. Tasks that can be automated and tasks that require human intelligence. AI is rapidly absorbing the first category. What remains is the second.
Human intelligent tasks share some common traits. They require real-time judgment. They involve reading people, context, or social dynamics. They demand accountability and nuance. They often involve trust. These are the tasks that sit at the edge of what current AI can reliably handle.
Here’s a concrete example from my own business. I recently launched a multi-week social media campaign to promote my AI book series, three books examining how artificial intelligence is reshaping work, the economy, and society, and a travel Memoir called RV Season.
The cognitive heavy lifting was almost entirely done by AI. It researched the themes and wrote the posts. Built the content calendar across multiple platforms. Drafted the response scripts for likely interactions and comments. Created a detailed process document for how to manage the campaign day-to-day.
It also did the audience research. Identifying which social media groups across multiple platforms were most likely to be receptive to the messaging, then ranking them into tiers by relevance and engagement potential. That kind of targeting work used to require a marketing strategist and hours of manual research. AI did it in minutes.
And here’s the part that made the biggest difference: it built a reference tool loaded with context from the books so my social media manager could respond to comments and questions intelligently, even without having read and absorbed the books herself. To someone engaging with her online, she comes across as knowledgeable and fluent in the material. That’s AI doing the cognitive scaffolding.
Then I hired a virtual assistant to execute the human intelligent layer. She logs in daily, reads real interactions, responds as appropriate, and exercises judgment in the moment. Real people in real time reacting to real conversations. That’s the part that required a human.
Notice what I didn’t do. I didn’t hire a full-time social media manager. I contracted for a specific scope of work to be executed at a specific price. No capacity purchase. No benefits package. No 40-hour bucket.
That’s the new model.
The Rise of the 1099 Economy
Companies already know how to hire contractors. Hiring freelancers isn’t a new invention. What’s new is that it’s becoming the default rather than the exception.
When AI absorbs the automated task layer, what remains doesn’t justify a full-time hire in most cases. What it justifies is a contractor. Someone engaged for a specific scope of work, either on a contracted-hours basis like a fractional CFO working several hours a week across several clients, or on a fixed-price basis for a defined deliverable.
The company isn’t buying capacity anymore. They’re buying task execution. The distinction matters because it changes everything about how the engagement is structured, priced, and measured.
This is already happening across professional services. Fractional executives. Project-based consultants. Specialized contractors are brought in for a defined scope of work. AI doesn’t create this model. It accelerates and normalizes it across virtually every business function. What was once reserved for overflow or specialized work is becoming the primary hiring strategy.
If You’re Doing the Work, You’re Essentially an Entrepreneur
Here’s the part most people aren’t ready for.
If you’re a 1099 contractor doing human intelligent task work, you are functionally an entrepreneur whether you think of yourself that way or not. You have no paid vacation. No employer-sponsored benefits. No guaranteed hours next month. You have a client, not an employer. You have a scope of work, not a job description.
That reframe has real consequences.
You need to understand pricing. Not just what your time is worth, but how to price a fixed-scope engagement so you’re covering your actual cost of doing business, including the benefits, downtime, and overhead a salary used to absorb invisibly. Most people who make this transition underprice themselves badly in the first year because they forget they’re now paying both sides of payroll tax, funding their own retirement, and covering their own health insurance.
You need to understand marketing. How do you get the next client? How do you position your human intelligent task skills in a market that’s increasingly crowded with people in the same position?
You need to understand contracts and scope management. Fixed-price work goes sideways fast when the scope isn’t defined clearly up front.
These are entrepreneurial skills. They used to be optional for most workers. In a task-based economy, they become table stakes. This is the terrain I cover extensively in After the Paycheck, the practical and psychological shift from employee to entrepreneur in an AI-disrupted economy. If you’re navigating this transition, that book was written for exactly where you are right now.
The Measuring Sticks Are Broken
The most recent jobs report is a perfect illustration of the problem.
Unemployment
On the surface, the numbers looked solid. Job growth beat analyst expectations. Unemployment held near historic lows. Headlines called it a healthy labor market. But when you break down where the jobs actually came from, the picture gets complicated fast.
The big contributor to the last jobs report was workers returning from a strike. People going back to jobs that already existed, not new economic activity being created. Government employment continued to shrink. Financial services shed jobs. Strip away the recovery effect, and the headline number gets thin fast.
But there’s a deeper flaw in how we count. The jobs report measures employment, not income. A person displaced from a $ 90,000-a-year manager role who lands a $40,000 retail job shows up in the data as a success story. Job filled. Unemployment down. What it doesn’t capture is that there’s now $50,000 less flowing back into the economy every year from that one household. Multiply that across millions of displaced workers trading down in wage, and you have an economy that looks employed on paper but is quietly losing consumer purchasing power underneath the surface.
The headline says jobs. It doesn’t say whether those jobs are building wealth or just keeping people above water.
More importantly, the report can’t see what’s actually changing. It counts W-2 workers in traditional wage-based jobs. That’s what it was built to measure. It doesn’t count the fractional CFO billing 10-15 hours a week to three different clients. It doesn’t capture the 1099 contractor doing fixed-price social media work. It has no way to measure the growing layer of HIT workers operating entirely outside the traditional employment package.
The task-based economy is largely invisible to the dashboard.
Gross Domestic Product
GDP has the same blind spot. Total output can tick upward while the gains concentrate at the top of the K-shaped economy; platforms, AI developers, and large enterprises capture efficiency gains. In contrast, the broader workforce experiences income instability, loss of benefits, and wage compression. The aggregate looks fine. The ground-level experience says something different. Both can be true simultaneously. That’s not a contradiction. It’s a measurement problem.
The economy isn’t broken. It’s being rewired. The instruments on the dashboard were calibrated for the old wiring. Until new measures catch up, ones that capture task-based income, fractional engagements, and contractor activity, the numbers will keep telling a story that doesn’t match what workers and small business owners are actually living.
What This Means for You
If you’re a small business owner, this is actually an opportunity. You’ve always hired for outcomes more than job descriptions. You’ve always been constrained by budget in ways that made fractional and project-based engagements attractive. The task-based economy is moving in your direction.
Start by auditing the work in your business. Which tasks are automatable? Which require human intelligence, judgment, or real-time social presence? Build systems that let AI handle the first category. Hire contractors, fractional professionals, or fixed-scope specialists for the second. Stop buying capacity. Start buying task execution.
If you’re an employee watching this unfold, a service member considering what comes next, or someone who was recently laid off and is figuring out the road ahead, pay close attention to your human intelligence task skills. The ones that require judgment, social awareness, real-time decision making, and accountability. Those are your market value in a task-based economy.
The work isn’t going away. The job is. And those are not the same thing.
What tasks in your business are you still handling manually that AI could probably take over? And what’s the human intelligent layer you’d actually need to keep?
