Tag: Future of Work

  • The Structure of Work Is Liquefying

    The Structure of Work Is Liquefying

    Freelance and contract work now accounts for roughly 36 percent of the U.S. workforce, according to Upwork’s 2023 workforce report — a share that has grown steadily over the past decade as remote infrastructure and project-based hiring expanded.

    For the last century, professional careers were built on solid ground. We had clear titles, defined job descriptions, and predictable ladders. You learned a skill, you applied it, and you moved up.

    Artificial Intelligence is not simply another tool added to an existing workflow — it is restructuring the tasks that defined job categories.

    The specific tasks that defined “Senior Analyst” or “Product Manager” or “Copywriter” are dissolving into software.

    The Result: Structural Friction

    When the structure dissolves, we feel it as anxiety. We see it in the erratic behavior of companies hiring AI talent while firing subject matter experts. We feel it in the “illegibility” of our own value when a machine can replicate our output in seconds.

    The day I realized this wasn’t abstract theory was when a VP of Sales at a mid-sized SaaS company told me she’d stopped attending her own pipeline reviews. Her team had trained an AI model on two years of her call recordings, CRM notes, and deal commentary. It could predict close probability within a few percentage points of her own estimates. Her manager had started routing forecast questions to the model first.

    Since my own displacement from a VP role, I have treated this shift not as a crisis, but as a design challenge. I spent the last year mapping the terrain. I wanted to understand why some professionals are being swept away by the “Automation Headwind,” while others are finding ways to extend their output using AI tools.

    The Manual

    Today, I am releasing the result of that work: Agile Symbiosis.

    I did not write this to make predictions about AI. I wrote it to solve the problems we face today.

    It is a manual for the “Navigator Mindset.” It argues that you have a binary choice in this era:

    1. Be a Passenger: Wait for the organization to automate your role.
    2. Be a Navigator: actively dissolve your own role to remove the drudgery, then rebuild it around the high-value judgment only you can provide.

    The book provides the mental model for understanding this shift, and the D.I.S.T. Framework (Dissolve, Isolate, Synthesize, Titrate) for executing it.

    An Invitation If you are trying to figure out where you fit in this new terrain, this book is for you. It is a guide to identifying which parts of a role are most exposed to automation and how to restructure work around the remainder.

    You can read the preview, explore the concepts, and find the book here: agilesymbiosis.com

    The structure is liquefying. It is time to design what comes next.

  • Is college still relevant with AI? Yes, but here’s the new playbook

    Is college still relevant with AI? Yes, but here’s the new playbook

    TL;DR: AI is not taking your job; it’s dissolving your job into two parts: AI-Ready Tasks and Human Responsibilities. Your college education and career should focus entirely on the human part, while you learn to orchestrate AI for the tasks.

    I wrote this as a response to a question someone posed on Reddit, but it’s relevant for to post here too. The question was… “What’s the point of college in 2025 and forward?”

    I’ve been working in tech since ’96 and have been thinking about this a lot lately (it’s the subject of a book I’m writing). Here’s my take:

    1. Jobs Aren’t Disappearing, They’re Dissolving.

    AI isn’t a grim reaper for professions; it’s a solvent. It dissolves a job into two parts:

    • AI-Ready Tasks: Writing boilerplate code, drafting first-pass reports, summarizing research, and creating basic UI elements.
    • Human Responsibilities: Strategic creativity, complex problem-solving, ethical oversight, and deep interpersonal connection.

    Jobs that are heavily focused on the “AI-Ready” side will be absorbed into adjacent roles. New professions will emerge that combine human responsibility with AI orchestration.

    2. The Future is About Orchestration, Not Execution.

    • A coder no longer needs to write every single line. They need to understand architecture, debug, and guide the AI to produce the desired outcome.
    • A product manager doesn’t need to write every user story from scratch. They orchestrate AI to generate the first draft, then use their human insight to refine and strategize.
    • A UX designer won’t just draw pictures in Figma. They’ll prompt AI to generate functional code prototypes directly, blending design, strategy, and front-end development.

    3. The Skillset to Focus On in College:

    Your degree should focus on the skills that AI cannot replicate.

    • Strategic Creativity & Complex Problem-Solving: The ability to frame a novel problem and map out a solution.
    • Ethical Oversight: The judgment to know what should be done, not just what can be done.
    • Deep Interpersonal Connection: Leadership, empathy, and persuasion.

    My advice: Focusing on a curriculum that builds analytical thinking, rather than procedural knowledge, prepares for the human responsibilities AI cannot cover. A “Great Books” program, such as the one at St. John’s College, is one concrete example. It forces you to analyze and debate foundational ideas—a skill that AI cannot replicate. Then, on your own time, become a master AI orchestrator. 

    4. The End Goal: Become a Poly-Shaped Professional.

    We’re moving past the era of I-shaped (deep expert), T-shaped (expert with broad knowledge), or even pi-shaped (expert in two areas) professionals.

    AI makes it practical to develop deep expertise across multiple domains—a poly-shaped professional profile. It acts as a universal collaborator, allowing you to develop deep expertise in multiple domains simultaneously. It broadens and deepens your capabilities, making you an AI-assisted polymath.

    College remains relevant when used to build the human capabilities AI cannot replicate.