Why AI will not kill recruitment agencies (and other services business)
Linkedin posts are underestimating something about what large enterprises really want
“AI built a C compiler. Oh, IT services companies so toast now.
Claude Code wrote 300 articles last week. SEO agencies are so, so done now.
AI can find candidates in minutes. Recruitment agencies are legit dead.“
Scream the posts on X and LinkedIn daily.
The “AI will kill” services companies argument
Look at the core task in any service business.
In SEO, it is researching and writing articles. In recruitment, it is finding candidates. In software services, it’s building a feature.
These core tasks are definitely being done by AI. Better, faster, cheaper. People are creating full fledged applications that handle these tasks in weeks now.
The argument: Since AI can handle these core tasks, companies will no longer need to hire service providers.
But is that argument true in real business world?
We ran an AI-led recruitment agency business for 2.5 years. Here is what we humbly learned.
Yes, the core tasks are increasingly AI-powered. That perfect candidate, this SEO article, that legal case review.
But here is the real truth:
A services business doesn’t complete these tasks. It does far more. Some of it is boring and some of it is essential - understanding customer context, stitching the solution that is not just fast but also reliable and dependable and providing critical support at times when things go south.
Take recruitment agency service. At Cutshort, by using technology on top of our large candidate base (2000+ signups daily), we made the core task of finding candidates both accurate and fast.
But to serve customers, this is not enough. Understanding real requirements, company specific constraints and bottlenecks, planning efforts across channels, changing processes, understanding verbal and subtle emotional feedback is what is still needed to deliver real success to customers.
Two years ago when we started recruitment agency services powered by technology, we had this hypothesis - the core tasks is more important than these service layers. We thought we would be able to serve thousands of companies with this model with minimal human intervention.
But this hypothesis was wrong. We realised we still needed the human layer
To onboard and explain to customers (sales cost)
To understand their roles and set up processes (onboarding cost)
To keep the delivery on track and remove impediments on an ongoing base (service operations cost)
To collect payments and provide warranty (support and finance ops cost)
So while the core task was automatable, the other service layers are required and have non-trivial cost.
The conclusion?
AI can make a recruitment agency service better and cheaper, but not replace it with agents.
Good services business will not get killed. They will get more profitable and scalable with AI.
Customers do not pay billions to humans for core tasks. They pay for a complete solution they can depend on. Cost and speed is important, but dependability is non-negotiable.
And that’s what real services businesses provide. While an AI agent will shun responsibility, a human delivered service business will step up when you need the most.
The “AI will kill X” noise is loud but it’s more applicable in startup and SMB market. In mid market and enterprises, most people are underestimating just how much more important accountability is for businesses than cost and speed.
Services businesses that did low value work will face the hear and face disruption.
Yes, larger services providers will struggle initially to make core tasks AI ready. But over time they will find a way and/or acquire smaller players to adapt to the change.