Hiring In-House or Working with a Provider: The Real Cost of an AI Role

When faced with an AI need that becomes a long-term fixture, one question comes up time and again: should you hire in-house, or work with an external provider? The answer depends less on financial resources than on a point that's often overlooked: an AI role actually covers three different jobs.

Three jobs in a single role

Building a tool, running it day to day, and making sure it stays compliant with regulation are three distinct skill sets. A single in-house hire rarely covers all three, which largely explains why 60% of SMEs that want to build AI skills in-house don't succeed (Bpifrance, AI Barometer 2026).

The cost salary doesn't show

The advertised salary for a data/AI profile is only part of the real cost: often lengthy hiring times in a tight market, a ramp-up period, the risk of the person leaving after a year or two and taking that expertise with them, and a lack of continuity if the company has only one person covering the subject.

What an external provider changes

A provider that builds and runs the tool for several companies pools expertise across all three areas (build, operations, compliance) without exposing your company to the risk of a departure or an incomplete skill set. It's a different choice, not necessarily a cheaper one, but often a more reliable one for a company that isn't looking to become a software publisher itself.

A simple test to decide

• If AI is becoming a central, lasting strategic pillar of your business, hiring in-house eventually makes sense.
• If AI is a means of solving specific tasks without becoming the core of your business, an external provider helps you avoid bearing a skills risk alone.