AI doesn’t replace recruiters. It exposes weak recruiting judgment faster.
A lot of recruiting teams are trying to “add AI” before fixing the basics.
But AI won't save a broken search.
It won't clarify a vague role.
It won't repair weak calibration.
It won't make generic outreach compelling.
It won't tell a founder which tradeoffs actually matter.
What AI can do is accelerate the work around strong judgment.
It can help map markets faster, generate better search angles, pressure-test outreach, summarize candidate patterns, and turn messy hiring conversations into usable signal.
But the recruiter still has to know what good looks like.
That means understanding the role, the business problem, the talent market, the hiring manager’s real concerns, and the difference between “nice to have” and “must have.”
The future of recruiting is not AI vs. recruiters.
It is high-judgment recruiters using AI to move faster, think sharper, and make better hiring decisions.
AI can build a page quickly. Keeping it recognizably yours is the harder part.
Vercel is testing a simple idea: give AI clear design guidance before it starts—not just colors and fonts, but the decisions that make a brand feel consistent.
The bigger lesson applies to any business: AI works better when your taste is documented instead of trapped in someone’s head.
A clear creative guide turns “make something nice” into repeatable decisions—and makes faster work feel less generic.
If an AI had to represent your brand tomorrow, what rule would you teach it first?
Your website is no longer just being read by people.
AI search engines are reading it too and they understand your website in ways surprisingly similar to how a good UX designer evaluates it.
@Framer's latest AEO guide highlights a few things that matter:
1. Clarity beats cleverness - If a page jumps between ideas, uses vague language, or assumes too much context, AI systems have a harder time understanding what the page actually means.
2. Structure matters - Clear headings, sections, summaries, definitions, and FAQs help AI break content into usable chunks. That is essentially good information architecture.
3. Context > Keywords - AI search is not simply matching keywords. It is trying to understand relationships between ideas, anticipate follow-up questions, and determine whether a page provides enough context to answer them.
This changes how I think about AEO.
You don't need to "write for AI." You need to build websites that are genuinely easy to understand.
For humans first. And increasingly, for machines too.
That means website strategy, content architecture, UX, SEO, and AI discoverability are becoming much more connected.
The interesting part?
Good UX is starting to become good AI optimization.
He wanted job security.
The chair was permanent.
A Permanent Position
An AI-generated surreal short about the cost of becoming exactly what a company needs.
That premise hits hard. The absurdity of the office interview setting makes the commentary land even more. Curious what tools you used for the video generation here.