If — and it will remain "if" right up until we have actually made it — if we get an AI which is as general as a human mind, then
every job can be automated, including the new ones.
What that means depends how much the AI costs to run.
Assuming the hardware stays working long enough to amortise to a rounding error, $100,000 per year at $0.05/kWh is 228 kW (and by extension $10k/year is about 23 kW), so a "good enough" AI can "afford" to draw a lot of electricity while still being cheaper than many experts, or to draw more electricity than most households while still being cheaper than per-capita income in 15 of the G20 countries.
On the other hand, if the best we can figure out how to do while giving it human-level generality is an IQ of 85, and it's a thing that runs on 1 kW, that makes 16% of humans uncompetitive even at the UN "abject poverty" threshold, while smarter people can still be gainfully employed.
Current AI is neither, as it's a combination of absurd training costs, low inference costs, and being very good at specifically and (IMO) exclusivity at the things we use to define "intelligent", but also without the stuff we don't count as "intelligence" because approximately every human has it and it's not a differentiator.