The wrong question
Should you be afraid of AI? No. Should you be concerned about the effect it has on your occupation right now? Yes.
That is how I open this Fargo Walks clip. The line burned across the opening frame says it harder: AI won't kill your career. Ignoring it will. It is an argument, not a forecast about every occupation.
The wrong question is whether AI will take your job. Whole-job questions produce whole-job answers: panic or denial. Neither one changes what you do on Monday.
The useful question is which parts of your work AI can already affect, and what you need to be good at as those parts change.
Look at your own work first
It is easy to treat AI as a headline about other industries and other jobs.
In the video I say it plainly: if you are not looking into how AI will affect your job, you need to. The goal is to get more done with AI and not get kicked to the curb.
The way I do that is to look inside the job at the actual tasks, understand which ones AI can affect, and identify the skills that keep you useful as the work changes.
That applies whether you hold a title on an org chart or you are the owner filling five roles at once.
What the evidence says about parts, not jobs
A 2025 National Bureau of Economic Research working paper reports on a six-month randomized field experiment across 66 firms and 7,137 knowledge workers. Workers were given a generative AI tool inside the applications they already used for email, meetings, and writing.
In the second half of the experiment, the 80 percent of treated workers who used the tool spent about two fewer hours per week on email. The authors did not detect shifts in the quantity or composition of workers' tasks from giving individuals the tool.
Read that carefully. One part of the job changed measurably. The shape of the job did not. That is one workplace study with one integrated tool over six months, so do not stretch it into a rule for every company. That is why I look at work task by task, not title by title. The effect on your occupation is happening now, which is the point of the video.
Run the audit on your own job
1. List the tasks, not the title
Write down what you actually do in a normal week. Not the department name. Prospect research, follow-up emails, proposals, calls, reporting, scheduling, chasing invoices.
2. Sort each task into three buckets
AI can do it now. AI can assist and you finish. It stays with you.
Be honest about the first bucket. Repeatable, digital, source-based work with an output you can check belongs there.
3. Test the first bucket this week
Take one recurring task and run it through ChatGPT or Claude with your real inputs. Judge the result against your standard for done. Count the corrections. Time the whole cycle, including your review.
4. Name what stays with you
Judgment. Relationships. Expertise the tool cannot verify on its own. Accountability for the result. Those are the parts that keep you useful, and they are the skills to sharpen.
5. Repeat it every quarter
The tools change. Re-sort the buckets. An audit from March is a starting point, not a verdict.
If you own the business
Run this audit on the roles you personally fill before you run it on anyone else's.
When the decision is whether to hire for a role, use the employer version: Before You Hire, Audit What AI Can Handle.
The decision
Stop asking whether AI will replace you. Ask which parts of your work it changes, test them, and put your effort into the parts that stay with you.
Fear is not a plan. An audit is.
Sources
- Jeff Fargo, Fargo Walks: What Parts of Your Job Can AI Replace? (recorded March 2026)
- Dillon, Jaffe, Immorlica, and Stanton, Shifting Work Patterns with Generative AI, NBER Working Paper 33795 (2025)
- Jeff Fargo, Fargo Factor Insight: Before You Hire, Audit What AI Can Handle (August 2026)
Transcript
Verbatim from the Fargo Walks clip, as recorded.
Should you be afraid of AI? No. Should you be concerned with AI and the effect it will have or has now on your occupation? Yes. If you're not looking into it and seeing how it will affect your job, you need to. What you really need to do is retain an AI shepherd, an AI consultant that will walk you through exactly how you can get more done with AI and not get kicked to the curb.
Jeff Fargo is the founder of Fargo Factor and host of Fargo Talks. Fargo Factor advises established businesses on AI Search Authority, AI Decision Systems, and selective AI-enabled implementation.
WHEN THE DECISION MATTERS
Find the parts of your work AI should take.
Fargo Factor helps established businesses break real work into tasks, test where AI earns its place, keep judgment and approval human, and decide what the person still owns.
