| (Cofounder of 10x Management here.) Thanks for the shout-out, Aline! You point out the main difference in our models, which is exactly what makes our talent agency work: the key is the focus on contract/freelance placement. Recruiters who do full-time placement optimize for the short-term -- a single transaction -- which leads to all sort of misaligned incentives and shady practices. With 10x, we work with the same talent over the course of years, so we optimize for the long term and help the people on our roster for (ideally) the duration of their careers. And the talent is more than happy to pay for our services. >>> "Agents make sense when it’s hard to find a job or when the opportunity cost of looking for work is high enough to justify paying someone else.... For engineers, because the shortage is in labor and not jobs, paying out a portion of your salary for a task you can easily do yourself doesn’t make much sense." This reminds me of the "adverse selection" argument we hear a lot, i.e. the best programmers have no trouble finding work, so wouldn't an agency only attract people who aren't good enough to source their own opportunities? The simple answer to this: Tom Cruise has no problem finding work, but he still has an agent. He wants to spend his time acting, not negotiating, invoicing, collecting, etc. You also mention that the talent agency model works for niche skills, but then you say there isn't a big enough market for these skills. I'd disagree with the second half of that. Technology is getting increasingly specialized. Software, hardware, electrical, all have sub-fields and sub-sub-fields and sub-sub-sub-fields. The same general model applies to most of these sub-sub-sub-fields, and there are absolutely enough of them to justify a market. In fact, the niche skills lend themselves especially well to the talent agency model, since companies don't necessarily need to employ those people full time. Data science is a good example of this... a lot of companies could benefit from the insights of a data scientist, but most of them don't need a salaried data scientist on staff. Through 10x, companies large and small have a la carte access to pre-vetted specialists (and generalists), on demand. |