Business Building

    The Great Unbundling: How AI Is Reshaping Who Gets Paid for What

    Jan 17, 2025
    11 min read
    Drew Jacobs

    In the past six months, a subtle but aggressive shift has accelerated faster than most economists predicted. While headlines obsess over which specific jobs will be "replaced" by artificial intelligence, they are missing the forest for the trees. The real story isn't about replacement; it is about unbundling. The traditional employment model, where a single role bundles together high-value strategy, mid-level management, and low-level execution, is disintegrating. We are witnessing the separation of judgment from execution, and this cleavage is redefining who gets paid and why.

    Most people are looking for a singular event or a "pink slip" moment. But the change is far more insidious. It looks like a marketing team of ten becoming a team of three high-level strategists using AI to generate the output of twenty. It looks like a law firm automating the junior associate's research tasks, effectively removing the bottom rungs of the career ladder. The tension in the air is palpable because the rules of value creation are being rewritten in real-time, and the comfortable middle ground is vanishing.

    What Is Actually Happening: The Collapse of the Bundle

    For the last century, a "job" was a bundle of tasks. A marketing manager, for example, might spend 20% of their time on strategy, 30% on meetings, and 50% on execution, writing emails, drafting copy, or analyzing data. Companies paid for the whole bundle because they had to; the only way to get the strategy was to pay for the execution.

    AI has broken this bundle. Companies are beginning to realize they no longer need to pay humans for the commodity execution tasks. They can unbundle the role, automate the routine components, and keep only the strategic judgment. This creates a polarized workforce. On one end, you have the "Operators", individuals with rare judgment and high AI fluency who can direct the machines to produce incredible output. On the other end, you have employees whose primary value was wrapped up in the tasks that are now virtually free to produce.

    Consider the creative sector. A graphic designer used to be paid for technical skill, the ability to manipulate software to create an image. Now, with generative AI, the technical barrier has collapsed. The value has shifted entirely to the taste, the prompt engineering, and the ability to curate the output. The "job" of a designer is being unbundled into "concept" (high value) and "pixel pushing" (low value). The middle is being squeezed out, leaving only room for those who can leverage the tools to operate at a higher level.

    Why This Matters: The Death of the "Safe" Career

    This shift matters because it fundamentally alters the equation of job security. In the old model, tenure and loyalty were often enough to protect a career. If you were decent at your job and showed up on time, the friction of replacing you was too high. In the unbundled world, friction is gone. If 60% of a role can be automated, the remaining 40% doesn't justify a full-time salary unless that person can expand their scope significantly.

    Job security now comes exclusively from being hard to replace. It comes from possessing leverage, skills, a unique network, or a personal brand, that cannot be easily replicated by an algorithm or outsourced to a lower-cost operator. The best protection is no longer a contract with a large institution; it is the personal leverage that travels with you.

    Companies are increasingly hiring for outcomes, not hours. They don't care how long it takes to write the code or draft the brief; they care that it is done correctly and effectively. This favors the efficient operator who uses AI to do the work in an hour over the traditional employee who takes a week to do it manually.

    The Emerging Model: From Employee to Operator

    A new model of work is rising from the ashes of the unbundled job. We are seeing the ascent of the "Operator." Unlike a traditional employee who waits to be assigned tasks, an Operator owns outcomes. They view themselves as a business-of-one, even if they are on a payroll. They combine deep domain expertise with a mastery of modern tools to deliver results at a scale that was previously impossible for a single person.

    This is leading to the rise of the "portfolio career." Because high-level operators can produce so much more value in less time, many are choosing not to sell all their time to a single bidder. We see fractional executives, CMOs, CTOs, CFOs, who work for three or four companies simultaneously, providing high-level judgment while leaving the execution to AI-enabled junior teams or automated systems.

    Success in this new model looks different. It isn't about climbing a corporate ladder, which is missing its bottom rungs anyway. It is about building a personal platform. It involves cultivating a reputation for excellence in a specific niche, building a network of weak ties that bring opportunities, and constantly upskilling to stay ahead of the commodity curve.

    What to Do About It: Prepare, Don't Panic

    If the direction of travel is clear, the response should be preparation, not panic. The goal is to position yourself on the right side of the unbundling, to be the one directing the AI, not the one replaced by it.

    1. Audit Your Value

    Look at your current role critically. Which tasks require true human judgment, empathy, or complex problem-solving? Which tasks are routine, repetitive, or rules-based? Your career safety lies in the former. Aggressively look for ways to automate the latter yourself before someone else does it for you.

    2. Build Outside Your Job

    Do not rely on your employer to define your value. Build skills that compound and belong to you. Start writing, publishing, or creating content that establishes your authority in your field. Build a network that exists independently of your current company email address.

    3. Think Like an Operator

    Shift your mindset from "completing tasks" to "owning outcomes." Ask yourself: "How can I deliver the result my company needs faster, cheaper, or better using the new tools available?" Become the person who figures out how to use AI to 10x the team's output. That person is indispensable.

    The Bigger Picture

    This shift is uncomfortable, but it is not unprecedented. The Industrial Revolution unbundled the artisan's work into factory lines. The Information Revolution unbundled physical distribution from digital goods. Every technological revolution reshapes who gets paid for what. The difference today is the speed.

    The question is not whether the economy will change; it is already changing. The question is whether you will cling to a dying model of employment or embrace the new reality of the Operator. The people who move first, who build leverage now and learn to wield these new tools, will have options that others simply won't.

    Closing

    The next two to three years will determine who thrives in the new economy and who spends a decade catching up. The window to prepare is open, but it won't stay open forever. The good news is that the tools to transform your career have never been more accessible or more powerful. The barrier to entry has dropped, but the barrier to excellence has risen. The choice of which side of that divide you stand on is entirely yours.

    Written by

    Drew Jacobs

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