Train AI to Take Your Job

Unpopular Opinion: Do It On Purpose

Everyone’s worried AI is going to “replace humans.” That framing is comforting… because it lets you do nothing.

Here’s the unpopular truth: you should be the one training AI to replace the parts of your job that don’t deserve to exist. Not because you want to get laid off. Because if you don’t automate your low-value tasks, you’ll be stuck being the low-value task.

Economists have been saying this for years in different language: technology mostly replaces tasks, not entire occupations. Jobs are bundles of tasks—some automatable, some deeply human, most mixed. Automation shifts the bundle. American Economic Association

And the labor market data isn’t screaming “jobpocalypse.” It’s screaming “massive churn.” The World Economic Forum projects large disruption through 2030 (roles created + roles displaced), with a net increase overall—but huge reallocation and skill pressure. World Economic Forum

So if you’re waiting for clarity before you act, you’re already late.

The real threat isn’t AI. It’s someone else using AI.

In every org, the first people to “win” with AI aren’t the ones with the best prompts. It’s the ones who:

  • eliminate their repetitive workload,

  • produce more output with the same headcount,

  • and become the bottleneck for decisions instead of execution.

AI doesn’t have to replace you. It replaces the person who can only contribute by doing copy/paste work.

AI is a productivity multiplier (and that changes expectations)

We already have credible evidence that generative AI can materially raise productivity in real workflows. One well-known study of a generative AI assistant in customer support found meaningful productivity gains overall, with the biggest lift for less-experienced workers (and smaller gains for top performers). Translation: AI helps more people do “good enough” work faster. NBER.org

That’s not “the end of jobs.” But it is the end of hiding inside mediocre, manual execution.

“But if I automate my tasks, won’t leadership cut my role?”

They might—if your role is mainly the tasks you automated.

That’s the point.

The goal is to trade your current task portfolio for a better one:

  • from “doer” → “designer”

  • from “writer” → “editor”

  • from “report builder” → “decision maker”

  • from “scheduler” → “operator of systems”

  • from “answer person” → “question person”

If you don’t do that trade proactively, the trade still happens—just without your input.

Train AI on the work you should never be doing again

Here’s the playbook I recommend (and yes, it’s blunt):

Step 1: Inventory your week.
List everything you do, then tag each item:

  • R = repetitive

  • A = administrative

  • S = synthesis (turning info into insight)

  • J = judgment (decisions, prioritization, tradeoffs)

  • H = human (relationships, trust, persuasion)

Start with the R + A pile. That’s the stuff AI should eat first.

Step 2: Build “SOPs” like you’re franchising yourself.
If a task can be described clearly, it can be automated or accelerated. Write:

  • inputs

  • steps

  • templates

  • quality bar

  • common failure modes

This is literally what “training” looks like in practice: making your tacit knowledge explicit.

Step 3: Create an “AI first draft” pipeline.
Your new default should be:

  • AI drafts → you edit

  • AI summarizes → you decide

  • AI proposes options → you pick tradeoffs

  • AI generates variants → you choose positioning

This is how you reclaim hours without lowering quality.

Step 4: Move up the value chain on purpose.
Use the time you free up to do work AI can’t finish:

  • customer discovery calls

  • cross-functional alignment

  • strategy choices

  • creative direction

  • stakeholder management

  • narrative building (the “why” behind decisions)

This is where careers get safer, not riskier.

The best career insurance is being the person who deploys the machine

Automation research consistently frames this as a race between task displacement and new task creation. The winners aren’t the people who block automation. They’re the people who create the new higher-leverage work faster than the old work gets automated. Microeconomic Insights

So yes—train AI to take your job.

Ryan Pratt

Ryan Pratt blends creativity with sharp analytical insight to drive results for small businesses and early-stage startups. A tech-forward early adopter of AI-powered tools and emerging technologies, he pursues innovative solutions to big challenges. Backed by a digital-marketing focus and a Bachelor’s from The Ohio State University, he brings more than two decades of hands-on experience in strategy, execution, and growth. Propelled by an innate competitive drive and collaborative leadership style, Ryan excels at guiding cross-functional teams toward ambitious goals. His track record spans boosting sales, generating qualified leads, amplifying user engagement, elevating brand visibility, and scaling SaaS ventures. He achieves these results by analyzing KPIs, monitoring industry trends, and creating data-driven strategies that propel companies forward.

https://www.ryan-pratt.com
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