Fifteen thousand in a week
Find out about Meta's new AI-focused hiring strategy, and how AI-generated resumes are making the hiring process more difficult.
Hey there,
This week, The Globe and Mail noted AI-generated resumes are now so common that jobs can receive over a thousand applications, making it hard for hiring managers to tell authentic candidates from AI-edited ones. At the same time, Meta transferred 15,000 employees in a week to build its AI infrastructure. The tools meant to help are now straining the process, but it's important to look at the bigger picture.
MercadoLibre also reported 49 percent revenue growth, its fastest in four years. This success came from engineers and product managers who any company can hire in Latin America.
The pattern looks familiar. The companies that are hiring well right now are not necessarily the ones using more AI in their processes; instead, they are the ones using better judgment about where to look and what to ask. That is getting harder as the noise grows, and more valuable as it does.
Let's get into it.
🌐 News Shortlist
1. Meta Cut 8,000 and Moved 7,000 More. Now You Can See the Org Chart.
Recap: Meta executed 8,000 layoffs on May 20, with notices delivered at 4 a.m. local time. Two days earlier, the company had told 7,000 employees that they would be moved into four newly created AI-focused organizations covering AI products, applications, and infrastructure. More than 15,000 Meta employees were repositioned in a single week. The company's 2026 capital expenditure plan has been raised to as much as $145 billion, with almost all of it directed to AI infrastructure. Cuts were concentrated in business operations and middle management. The roles being created are specifically focused on building and deploying AI tools.
This week, unlike past layoff headlines, gives you a clear view of what the reorganization actually leads to.
Most focused on the 8,000 layoffs, but the 7,000 internal moves signal how Meta is changing. Those leaving had jobs replaced by AI, while those staying are building AI systems. Meta shifted over 15,000 employees in a week — a complete redesign.
If you're a founder, the real question isn't how many people Meta let go, but what the company looks like now. Meta has 7,000 people in four new AI divisions, set up to work differently. The $145 billion for infrastructure makes this possible, and the 8,000 cuts help pay for it.
Of course, this doesn't guarantee success. Big reorganizations are risky, and AI tools might not take over tasks as smoothly as planned. Meta can afford to take these risks and test the model, but most companies can't.
Advice:
Before you reorganize your team for AI, be clear about which tasks these tools can handle well right now, not what they might do in the future. Companies that get this wrong often reorganize based on hope rather than reality.
2. AI-Generated Resumes Are Breaking the Hiring Process
Recap: A survey of 1,500 hiring managers found that 61 percent say AI-generated resumes are slowing the hiring process, and 89 percent say the volume has increased their workload. Separately, 70 percent of job seekers now report using AI in some form during their search, and 31 percent use it to generate or rewrite their resumes directly. Applications per open role have more than doubled since 2022. Competitive tech and remote roles now routinely attract more than 1,000 applications. Despite that volume, only 4 to 6 candidates typically reach the interview stage.
We can certainly say now that, besides changing who gets laid off, AI has also changed who applies for jobs and what their applications look like.
Candidates use AI to apply faster and to more jobs, swelling application numbers. Recruiters respond by tightening filters or slowing down, causing candidates to apply even more, fueling a cycle where hiring managers still struggle to find quality candidates.
If you're hiring now, this is a real problem. An average candidate with a polished AI-generated resume can look just like a top candidate at first glance. Most screening systems weren't built for a world where almost a third of applicants use the same AI tools.
The underlying problem is the model. Inbound hiring was always a blunt instrument: post a role, wait for applications, filter on what comes in. It worked when the signal-to-noise ratio was manageable. It does not work when 70 percent of applicants use AI to apply, and 31 percent let AI write their applications. No filter corrects for that.
Since the noise is structural, the obvious answer is what successful companies have always searched for: proactive recruitment. Searching and identifying candidates who are not looking, reaching out directly, and building interview processes specific enough to reveal actual capability rather than resume quality. A tailored technical assessment, a conversation designed around the actual problems a role involves, a referral from someone who has worked alongside the candidate — these are hard to game at scale. An inbound application is increasingly not.
Advice:
If you start your hiring process by looking at resumes, you're starting with the least reliable signal right now. Referrals, work samples, and direct outreach will help you find better candidates faster.
3. MercadoLibre's Best Quarter in Four Years Was Built With Latin American Talent.
Recap: MercadoLibre reported Q1 2026 results on May 7. Revenue reached $8.8 billion, up 49 percent year over year, the company's fastest growth rate since Q2 2022. Total payment volume crossed $87 billion, up 50 percent. Mercado Pago's monthly active users increased 29 percent. The credit portfolio nearly doubled to $14.6 billion. In Brazil, sales of items jumped 56 percent. The company now serves customers across 18 countries in Latin America.
MercadoLibre was founded by people who studied at, among others, the Universidad de Buenos Aires, the Pontificia Universidad Católica de Chile, and the Universidad de los Andes. They built a $14.6 billion credit portfolio and a payment system processing $87 billion in quarterly volume. They did it in the same time zones as New York and Chicago, in markets where building is hard, and infrastructure is less forgiving than in Silicon Valley.
The engineers and product managers behind these results haven't aged out of the market. The universities that trained them are still producing new graduates. Professional communities in Bogotá, Buenos Aires, São Paulo, and Santiago are still turning out people with the same skills, and most are available to hire remotely for roles outside MercadoLibre.
Most US companies approach Latin American hiring the same way they approach every other market: post a role, wait for applications, filter on familiar signals. That approach misses most of the best people, who are employed, not actively looking, and not reaching out to companies they have never heard of.
Advice:
The engineers who drove a 50 percent surge in payment volume are available to hire. Most US companies do not know where to look or how to reach them. That gap is the competitive advantage, and it does not stay open forever.
That is it for this week.
Meta demonstrated how to redesign an organization around AI with clear action. The Globe and Mail showed that relying on resumes is an increasingly unreliable way to find strong candidates. MercadoLibre revealed that high-performing technical talent is available in Latin America, waiting for companies that know how to access it. The main takeaway: rethinking where and how you hire is now a competitive advantage.
The clear pattern: companies succeed when they spot these trends and adapt their hiring and organizational strategies accordingly.
That is what this newsletter is for. And it is what we help clients work through every week at lupahire.com.
Until next time,
Joseph Burns
CEO & Founder, Lupa