Why the Future of Talent Doesn't Need Staffing Firms

Quentin Cloarec shares how AI in staffing changes the recruiter's job, from a career spent placing engineers on billion-dollar energy projects.

AI in Staffing Makes the Match Trivial, and That Changes Everything

For decades, the staffing industry has sold "the match" as if pairing a job with a resume were the hard part. Quentin Cloarec, Co-founder and CEO of Trees Engineering, has spent his career in that industry, and his verdict is blunt: AI in staffing has made the match almost worthless. A model reads a job description and a CV and returns a result in under a second. The keyword game is over.

From Kuala Lumpur, Cloarec built Trees Engineering into a talent platform placing specialized engineers on multi-billion-dollar energy, renewable, and data-center projects. He has been AI-native since 2021, back when his own staff asked him what AI even was. Now he is rebuilding the entire company around an AI agent that pre-qualifies candidates on WhatsApp, sources from Trees' own live database, and matches on what a person can actually deliver.

"AI doesn't need to know your position name. It just needs to understand what you are able to deliver based on your experience." — Quentin Cloarec

His practical advice follows directly: write a two-page CV for the human, and the rest for the AI. Make it a hundred pages if you want, because the model reads all of it in a second. A company still paying humans to read resumes, he says, is just paying its competitive delay.

The AI Recruiter Turns Sourcing Into a Live Database

If the match is free, the economics of screening collapse. Cloarec's example: a role gets 100 applications, and every one of them can be interviewed by an AI recruiter for roughly 10 cents each, a 15-minute conversation on a cheap model. Run an agent across a database of 10,000 CVs and a month later it reports back: I spoke with 8,000 people, 1,255 are available right now, 2,500 are available later.

That is the real unlock. Not a smarter resume pile, but real-time market intelligence about who is genuinely available this week. Sourcing stops being a cost center and becomes an always-on database.

"Technology is not a problem anymore. It's really a company choice." — Quentin Cloarec

The reason incumbents haven't moved, as host Matthew Mottola frames it, is the innovator's dilemma. A traditional staffing firm that embraces AI has to explain why it still deserves its margin, because its whole model is built on recruiter headcount and long-tenured placements. It has too much to lose. A specialized talent platform has far more to gain. That asymmetry is why platforms are years ahead.

Recruiters Become Community Managers

Cloarec's boldest prediction is about the people. He told everyone on his team the same thing: your job is no longer to source CVs or send emails. It is to build relationships. The mundane work, screening, chasing availability, matching, goes to an agent. What is left is the part only a human can do, read personality, sell a candidate, prep someone for an interview, know whether two people will actually work well together.

"I think recruiters are going to become more like community managers. AI agents don't make you less human. They make you more human." — Quentin Cloarec

It sounds like a downgrade. He frames it as a promotion. Less of the work that was never made for a human, more of the work that only a human can do.

Why Talent Platforms, Not Agencies, Build the Infrastructure Human Cloud Needs

Here is where Cloarec's thesis meets ours. He describes staffing as "an agent industry, we connect people," a coordination and orchestration business that has never been well organized. The company that wins, he argues, is the one that builds the infrastructure layer: talent that is live and accessible on the cloud, AI doing the matching and engagement, and humans doing the relationship.

That is exactly what Human Cloud is building, from the other end of the market. Trees is assembling the human infrastructure layer on the talent-supply side. Human Cloud assembles it on the company-demand side, aggregating discovery, compliance, and orchestration across 1,000+ workforce platforms so a business can find and deploy the right flexible talent solution in minutes instead of months. When the resume match is free, the value moves to the layer above it, the managed service, the verified capability, the single front door. Specialized platforms like Trees are the supply that makes that front door worth opening.

Both sides are solving the same problem: turning a fragmented, manually coordinated market into live infrastructure. Cloarec is doing it for energy talent. We are doing it for the companies that need every kind of flexible talent, and the two meet in the middle.

The Bottom Line

AI in staffing does not eliminate the human. It relocates them. The mundane match becomes machine work, and the relationship becomes the entire business. The firms that win will "destroy their industry to reinvent it," in Cloarec's words, building the infrastructure layer instead of defending the old margins. That is the future of the flexible workforce, and it needs infrastructure like Human Cloud, and platforms like Trees, to run on.

---

About Quentin Cloarec

Quentin Cloarec is the Co-founder and CEO of Trees Engineering, a talent platform supplying specialized engineers to energy, renewable, and data-center projects worldwide. A French energy engineer by training, he has been building AI-native recruitment infrastructure since 2021 and is now launching TreesOS to help recruitment companies rebuild their processes on top of AI.

Listen to the full episode: Human Cloud Podcast on Spotify

---

This article was adapted from the Human Cloud Podcast. Subscribe wherever you get your podcasts.