The Skills Your Team Still Needs Even After AI Handles The First Draft
When AI writes the first draft, your team needs stronger editing judgment, quality assessment and a clear sense of what great looks like in your business. The skill bar shifts from producing drafts to evaluating them, so train people on purpose to compare drafts and explain which is better.
A lot of small businesses hand first drafts to AI and quietly conclude the people doing that work matter less now. Fewer writing skills needed. Cheaper hires. Less training.
It's the wrong conclusion. A different set of skills matters more once AI does the first draft: editing judgment, quality assessment, and knowing what a great version looks like.
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SEND ME THE CHECKLIST →What skills do employees need when AI writes the first draft?
Writing a draft from nothing and judging whether a draft is good are two different skills. AI moves most of the workload to the second one. It doesn't remove the need for it.
A team member who can't tell a mediocre AI draft from a strong one adds little in a review-heavy workflow, no matter how good the tool is. Here's how the skill mix shifts:
| Before AI drafting | After AI drafting |
|---|---|
| Producing a first draft from scratch | Judging whether a draft is good enough to send |
| Speed of writing | Speed of spotting what's wrong |
| Knowing the format | Knowing what great looks like in your business |
| Catching typos | Catching plausible-sounding errors and missing context |
| Following a template | Giving the tool clear direction and useful feedback |
Why the skill bar shifts instead of dropping
Most training and hiring still focuses on production skill: being good at writing a first draft. What a review-heavy workflow needs is evaluation skill: being good at judging and improving a draft someone, or something, else produced.
That's a real and underrated competency. Most team training doesn't teach it at all.
The businesses that get the most out of AI tend to treat this as ordinary operating discipline, not a flashy transformation. I wrote about that pattern in why the best AI adopters are boring about it.
How do you train a team to review AI output?
Practice it on purpose. Evaluation skill grows when people are forced to put their judgment into words.
- Pick one real task your team does every week.
- Generate two drafts of the same output.
- Have everyone choose the stronger one and write down specifically why. "It feels better" doesn't count.
- Compare the reasons as a group and turn the best ones into a short checklist.
Run it regularly and fold it into a weekly AI retro. The written reasons become your quality standard.
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GET THE FREE CHECKLIST →The objection: "If AI writes most of the draft, doesn't the team need less skill overall?"
The hardest part of the work is automated now, so shouldn't the skill bar drop?
The hard part moved. It didn't shrink. Spotting subtle quality gaps, catching an error that sounds right, and knowing what separates good from great in your business all take real expertise. Arguably a sharper kind than writing an average first draft ever did.
A team that underestimated the shift
Picture a hypothetical small business that rolls out AI drafting across the team. The reasoning seems sound: less production work, so less skill needed. It hires a few junior people with little experience judging quality in its field.
Over several months, output quality drifts. The tool didn't get worse. Nobody on the reviewing end had the judgment to notice when a draft was slightly off.
The fix is training the team on evaluation: comparing drafts and naming the quality differences out loud. Within weeks, the work is back where it should be.
What to do this week
Run one thirty-minute exercise. Give your team two AI drafts of the same task and have each person write, specifically, why one is stronger. Keep the best answers as the start of your review checklist.
AI changed what your team spends time doing. It didn't lower the bar for how good they need to be at judging it.
Key takeaways
- AI shifts the workload from producing drafts to judging them.
- Evaluation is a distinct skill that most team training ignores.
- Build it by comparing drafts and writing down why one is stronger.
Frequently asked questions
Does AI reduce the skills my team needs?
No, it changes them. Less time goes into producing first drafts and more into judging quality, catching plausible errors and knowing what great looks like in your business. That takes real expertise, often more than drafting did.
How do I train employees to review AI output?
Give them two AI drafts of the same task and have each person write specifically why one is stronger. Compare the reasons as a group, then turn the best ones into a short review checklist the whole team uses.
Can I hire less experienced people now that AI drafts the work?
Be careful. If junior hires can't judge quality in your field, output can drift without anyone noticing. Train them on evaluation first, or keep an experienced reviewer on anything client-facing.
Mike Nathan
Founder & CEO, Impero Ventures · Founding Partner, Exit 156 Capital
20+ companies. $170M revenue. $55M raised. 3 exits. 2 VC funds. 1M+ YouTube subscribers.
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