Hey there,
Quick recap before we get into this week's stories. The death toll from the earthquake in Colombia keeps climbing. People and organizations have donated, and some real money has started showing up for the rebuild, but the total cost of putting the country back together is going to be far more than what's come in so far. If you haven't given yet, Cruz Roja Colombiana is still taking donations directly, and their relief teams are still deployed across Chocó and Valle del Cauca. Thank you to everyone who already gave last week.
Argentina's economy is straining in a way that should matter to anyone hiring there. The July jobs report came in soft, and the real story was buried in the revisions nobody read past the headline. And a new survey finally put a number on something recruiters have suspected for a while: a lot more job seekers are using AI than they're letting on.
Let's get into it.
🌐 News Shortlist
1. Argentina's Economy Is Sending a Warning Most Employers Aren't Watching.
Recap: Argentina's country risk index climbed to its highest level in two months during the week of August 17-18, even as the government posted a primary fiscal surplus. Economists are bracing for a second-quarter GDP contraction when official figures publish, pointing to record consumer goods imports straining the currency and a widened subsidized electricity allowance adding pressure to public spending.
That makes a rising risk number next to a fiscal surplus a strange pairing. Investors are confused about the direction of the fix and betting against whether it sticks, and a weaker peso is the part of that story that lands on a client's desk first.
There's a mistake I keep watching companies make when a currency wobbles like this: they treat it as a discount. I've watched a company anchor an offer to the worst possible peso reading, save maybe a few hundred dollars a month, and then spend three months wondering why the hire didn't stick. A rough currency number isn't a coupon. It's a reason the person you're trying to hire has more offers to weigh than usual, not fewer. Pay someone what the local market says they're worth and you get someone excellent for a fraction of what they'd cost in the US. Pay them off a headline instead, and you get whoever's left standing when everyone better already said no.
Advice: If you've got people, contractors, or vendors in Argentina, check how they're paid and how exposed that setup is to peso swings. First time hiring there? Budget for the role, not the exchange rate. Then keep an eye on the jobs data, because the same lesson about reading past the first number shows up there too.
2. July Jobs Report Lands Soft, and the Revisions Are Worse Than the Headline.
Recap: The Bureau of Labor Statistics released the July jobs report on Friday, August 7. Nonfarm payrolls fell by 23,000, and the unemployment rate rose to 4.1%. The bigger signal was in the revisions: May's already-modest gain was cut by 66,000 to just 63,000, and June's number was cut by 37,000 to 20,000. Combined, May and June came in 103,000 jobs lower than first reported.
One soft month doesn't mean much on its own. Three revised down in a row does. Nobody talks about the revisions because they're boring, but they're the part that actually tells you something: the market was weaker in real time than the first numbers let on.
That gap between the headline and the revision is exactly where a bad hiring assumption hides. A lot of teams have a role sitting open right now because someone decided months ago that good candidates were scarce, widened the search, and settled for whatever showed up. If the market was actually softer than the July number first suggested, that assumption was wrong when it was made, and it's more wrong now. The fix: match quality over volume, the same bar as before, applied to a pool that's better than anyone assumed.
Advice: One weak month, ignore it. A run of them, go back and check whether the "we can't find anyone good" excuse still holds. It usually doesn't.
3. Job Seekers Are Quietly Using AI to Land More Offers, and Most Won't Tell You.
Recap: A new survey of US job seekers found that a little over a third used AI somewhere in their search, and that group landed noticeably more offers than the ones who didn't. A meaningful share let AI submit applications automatically, and a smaller group used it live during interviews. Most AI users said they'd never disclose that use to an employer.
Forget the disclosure number for a second. The offer gap is what should bother a hiring team. People using AI well aren't cheating; they're just faster at researching the role and showing up more prepared than the person who skipped it.
Nobody set a rule about disclosing it, so most people don't. That part's on us, not them.
What I hear from clients is that take-home tests are dead. Job posts get buried under applications an AI wrote and submitted before a person ever looked at the listing. Clients who've adjusted stopped asking whether someone used a tool and started asking a harder question in the room, live: can this person work through a problem in front of me, use AI well under pressure, and explain what they just did? You can't fake that on a Wednesday afternoon call.
Advice: Stop policing whether someone used AI. Move the real test into a live conversation where you can watch them think. Whatever got them in the door matters a lot less than whether they can actually do the job once they're in the room.
That is it for this week.
If there's one thread running through all of it, it's this: whether it's a shaky peso, a softer jobs report, or a resume that may or may not have been written by a machine, the temptation is to trust the number in front of you and skip the harder step of checking what's real. Spend the extra ten minutes finding out what's real before you build a decision on a headline. That is the whole job, honestly, and it's what we help clients do every week at lupahire.com.
Until next time,
Joseph Burns
CEO & Founder, Lupa Hire