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Salespeople: if you use AI writing tools to help you “personalize” your messaging, you are lying at scale. Deepfake Personalization™️ is trash.
I receive a lot of sales emails. Send some, too. Over the last few months, I noticed a big uptick in messages that just felt “off.”
People who say they read a post I made. Or pulled some other snippet from my LinkedIn profile. But their phrasing is awkward and robotic.
It’s obvious they didn’t really read it. Skimmed it at best, but I doubt it.
e.g. “I really enjoyed your post on employer branding.” is how a bot talks. A human who enjoys my inane nonsense would say something “lol at how you took a fat dump on EB!”
But last week kicked it up a notch. This is a real message, word for word, with only the sender’s details redacted.
“New Favorite Movie – The Shellowners Association
James – congrats on the new movie deal! I know its been a while since you spoke with [redacted]. Wanted to see if we could find time to connect? We can swap tales of our own adventures – How about we grab a virtual coffee and share stories of cracked shells, monstrous clients, and the occasional beachside escapade? I promise it’ll be a cracking good time!”
What. The. F*ck.
For context: I started writing fiction as a hobby last year. I got my first story “The Shell Owners Association” published in an online publication, Sci-Fi Shorts. As a joke (and to encourage people to read my masterfully written 800 word satirical take on the housing crisis through the eyes of hermit crabs), I made the following post. It linked to the story (and included an AI generated faux Pixar poster – oh the irony.) Here.

Anyone with a human brain can tell my post was a gag. Who would actually take that seriously?
AI bots, that’s who. LLMs can’t detect sarcasm. They read and write everything literally. And their humor is sh*t. (Confirmed this was AI written by Sapling and Copyleaks.)


Here’s the rub. I don’t hate people trying to use AI to improve their writing. (I think it’s embarrassing that they need to, but that’s another rant for another day.)
But Deepfake Personalization™️ goes beyond writing assistance. It’s a misrepresentation. If you said “I read your post” but you didn’t read it (or not closely enough to comprehend the context), then you lied. Full stop.
In this example, I don’t blame the sales rep. It’s someone with 3 years of experience who is undoubtedly doing exactly what their sales manager told them to do.
👉Sales Leaders: Stop pushing AI shortcuts like this onto your team. Lying is the #1 thing you shouldn’t do in sales. Encouraging this to book meetings starts the buyer journey in the worst way possible.
That is all. Head over to LinkedIn and tag a salesbro influencer who encourages this garbage in comments.🍿
Partner at Hirewell. #3 Ranked Sarcastic Commenter on LinkedIn.
If you’re hiring in 2026, you’re dealing with two realities at the same time.
First, traditional signals like degrees and pedigree are losing their value.
Second, Gen Z is reshaping expectations around speed, transparency, and trust.
Together, those forces are pushing talent acquisition into its next evolution.
As we outlined in Agentic HR Is Here: What Talent Acquisition Really Looks Like in 2026, recruiting is becoming more autonomous at the execution level. But autonomy alone doesn’t solve the core hiring problem.
You still need a better way to evaluate people.
That’s where skills-first hiring comes in.
For decades, degrees were used as a shortcut.
Not because they reliably predicted success, but because they reduced perceived risk and simplified decision-making.
That logic no longer holds.
Roles are changing too fast. Job titles mean less than they used to. And in a market where AI can generate a polished resume in seconds, pedigree is an even weaker signal.
Companies need capability, not credentials.
The bigger shift isn’t just skills-based hiring. It’s skills intelligence.
Instead of organizing work around static job descriptions, companies are starting to think in terms of capabilities. Work is assigned based on skill, not hierarchy or tenure.
This is the same evolution happening across workforce planning more broadly. Not headcount planning, but capability planning.
And it’s the only model that holds up in a fast-moving market.
Skills-first hiring is gaining traction because it solves multiple problems at once.
It improves quality of hire.
It increases internal mobility.
It reduces bias tied to pedigree.
And it aligns better with how work actually gets done.
But it’s also accelerating for a more practical reason.
The resume is no longer reliable.
As we covered in The AI-on-AI Hiring Arms Race, recruiting teams are now dealing with a flood of highly optimized, AI-generated applications. Many look great on paper and collapse under real scrutiny.
When that happens, skills-based evaluation stops being a “nice to have.” It becomes the only way to restore signal.
Now layer in Gen Z.
By 2026, Gen Z is one of the fastest-growing segments of the workforce. They are also the least tolerant of slow, opaque hiring processes.
One of the most important data points in the market right now is this:
A majority of Gen Z candidates will drop out if a hiring process exceeds 22 days.
Speed, to them, isn’t about impatience. It’s about competence.
If a company can’t run a clear, efficient hiring process, candidates assume it can’t run the business well either.
It’s a trust issue.
A large percentage of job seekers report that looking for work negatively impacts their mental health. The biggest driver isn’t rejection.
It’s silence.
Waiting to hear back. No closure. No clarity on next steps.
For Gen Z, that lack of transparency is a dealbreaker. It signals misalignment, not just poor communication.
In 2026, how you hire is inseparable from how you’re perceived as an employer.
For Gen Z, the hiring experience is part of the offer.
They expect:
If the process feels like a black box, they assume the culture is the same.
This is where skills-first hiring and agentic systems intersect. Technology can speed up execution, but only leadership can ensure the experience remains human.
The companies adapting fastest in 2026 are focused on a few fundamentals:
Skills-first hiring isn’t just about fairness. It’s about accuracy.
And Gen Z isn’t asking for special treatment. They’re forcing employers to modernize a hiring process that’s been broken for a long time.
The companies that adapt will hire better, faster, and with less churn. The companies that don’t will keep blaming the market while losing candidates to competitors who simply run a better process.
Most companies agree with skills-first hiring in theory. Very few have operationalized it in a way that actually improves outcomes. If you want help redesigning your hiring process for 2026, especially around skills-based evaluation and candidate experience, we can help. Reach out and we’ll walk you through what’s working right now.