The discovery of an AI product manager role at Netflix with a pay ceiling of $900,000 sent critics of the company and entertainment industry wild yesterday. That isn’t the only such listing, and likely not even the most lucrative. No one should be surprised that one of the biggest tech companies in the world is paying top dollar for machine learning talent — but that doesn’t mean striking writers and actors shouldn’t call out the hypocrisy on display.

So what are these jobs? In addition to the overall product manager one, there are five other roles with obvious machine learning responsibilities, and likely more if you were to scour the requirements and duties of others.

An engineering manager in member satisfaction ML — their recommendation engine, probably — could earn as much as $849,000, but the floor for the “market range” is $449,000. That’s where the conversation starts! An L6 research scientist in ML could earn $390,000 to $900,000, and the technical director of their ML R&D tech lab would make $450,000-$650,000. There are some L5 software engineer and research scientist positions open for a more modest $100,000-$700,000.One comparison that was quickly made is to the average SAG member, who earns less than $30,000 from acting per year. Superficially, Netflix paying half a million to its AI researchers so that they can obsolete the actors and writers altogether is the kind of Evil Corp move we have all come to expect. But that’s not quite what’s happening here.While I have no doubt that Netflix is screwing over its talent in numerous ways, just like every other big studio, streaming platform and production company, it’s important for those on the side of labor to ensure complaints have a sound basis — or they’ll be dismissed from the negotiating table.

The fact is that Netflix is among the largest and most successful tech companies in the world. While it is a novelty to have its name listed in the power acronym FAANG as well as next to megastudios like Disney and Universal, it also means that it must fulfill two sets of responsibilities.

As a tech company, Netflix is, like every other company on Earth, exploring the capabilities of AI. As you may have guessed from the billions of dollars being invested in this sector, it’s full of promise in a lot of ways that aren’t actually connected to the controversial generative models for art, voice and writing, which for the most part have yet to demonstrate real value.

No doubt they are exploring those things too, but most companies remain extremely skeptical of generative AI for a lot of reasons. If you read the actual job descriptions, you’ll see that none actually pertain to content creation:Sure, the last one is likely generative dubbing, or perhaps improved subtitle translation. And this doesn’t mean Netflix isn’t working on generative stuff too. But these are the jobs we’re actually seeing advertised, and most are generic “we want to see what we can do with AI to make stuff better and more efficient.”

AI applies across countless domains, as we chronicle in our regular roundup of research. A couple weeks ago it helped find new Nasca lines! But it’s also used in image processing, noise reduction, motion capture, network traffic flow and data center power monitoring, all of which are relevant to a company like Netflix. Any company of this size that is not investing hundreds of millions in AI research is going to be left behind. If Disney or Max develops a compression algorithm that halves the bandwidth needed for good 4K video, or cracks the recommendation code, that’s a huge advantage.