I'd expect the relative skill floor for English to be significantly higher because everyone in the anglosphere gets a minimum of 12 years of intensive English education. Moreover, the starting point for additional higher education is usually native fluency/mastery and even then jobs requiring actual English credentials will usually require a graduate degree on top.
Contrast that with programming, where most developers will have learned their first language in college and those 1-3 years of introductory education were enough that they're usually considered hireable by the end of undergrad. Some (few) people can even get to that point with only a 3-6 month intensive bootcamp despite no prior experience.
Software engineering can be self-studied very cheaply, lots of free resources, mostly you just need time and motivation. Failure is usually cheap.
Farming on the other hand requires more local, implicit and hands-on knowledge, capital requirements are high, feedback cycles are slower and failure is expensive.
It’s much more difficult than software engineering, in every way.
There might be an argument for cost at the highest scale in each field which few in either profession really make it to but I'd bet even then its pretty on par.
I've been a huge fan of comparing the complexity or cost of a profession. We as a species specialize because doing these tasks in the most efficient way requires managing large number of details that are not obvious at first glance.
Plus when you go meta and ask LLMs to generate prompts for themselves, you own language proficiency becomes even less important.
I do think English/language proficiency will help with Generative image AIs like Midjourney. Like if someone could describe a scene in extreme detail that's more likely to produce a result closer to what you want.
If we cared about English in software engineering as much as we care about code it would be of similar difficulty.