No, there’re not. People with influence or who have invested in the space say that these features are in demand/the next big thing. In reality, I haven’t seen a single user interview where the person actively wanted or was even excited about AI.
There is a lot of unchecked hype, but that doesn't mean there is no substance.
Few artists want generative-AI diffusion models in their paint program; but most artists appreciate "classical" ML-based tools and effects — many of which they might not even think of as being ML-based. Because, until recently, "classical ML" tools and effects have been things run client-side on the system, and so necessarily small and lightweight, only being shipped if they'll work on the lowest-common-denominator GPU (esp. "amount of VRAM") that artists might be using.
The interesting thing is that, due to the genAI craze, GPU training and inference clusters have been highly commoditized / brought into reach for the developers of these "classical ML" models. You don't need to invest in your own hyperscale on-prem GPU cluster to train models bigger than fit on a gaming PC any more. And this has led to increased interest in, and development of, larger "classical ML" models, because now they're not so tightly-bounded by running client-side on lowest-common-denominator hardware. They can instead throw (time on) a cloud GPU cluster to train their model; and then expect the downstream consumer of that model (= a company like Canva) to solve the problem of running the resulting model not by pushing back for something size-optimized to be run locally on user machines, but rather by standing up an model-inference-API backend running it on the same kind of GPU IaaS infra that was used to train it.
(Also, because I assume this is your issue: em-dash is option-shift-hyphen on US-English Mac keyboard. I've been using them in my writing for 25 years now, and I won't stop just because LLMs got ahold of them.)
Is the same algorithm that allows AI/LLM-enabled apps to remove things from photos? Example: Remove the person who accidentally appeared on the left side of the photo.