AI can make your CV or application sound better but it can only work with what it has - you still need to have relevant experience and examples for it to work with.
TBH when I’m reviewing CVs for a role I spend very little time actually reading them (I think research says hiring managers spend an average of 6-10 seconds before deciding whether to shortlist or decline). And I’m talking about hiring for a role that is c. £100k plus bonus.
Basically, this is what I look at:
The headlines of role titles and time spent there - do they have significant experience in relevant roles, in the same industry and at similar global corporates?
How long did they spend in the roles? Any evidence of them moving roles frequently which may suggest they find it hard to settle/perform?
If they’ve moved frequently, is there anything which gives sufficient explanation to put my mind at rest (redundancy, contracting, etc)?
Any weird / unexplained gaps?
I cast an eye over their candidate profile / most recent two or three experiences - are they well written? Typos or grammar issues? Are they mentioning experiences that fit well with what we’re looking for?
TBH AI would only help them with the “Are they well written? Any typos or grammar issues?” part.
I’d also bin any that very obviously used AI, so things like having lots of em-dashes in. I wouldn’t be binning them for using AI (I use it too, frankly think it’s silly not to) but for lacking the nous / emotional intelligence to know that you shouldn’t just copy and paste its output and need to personalise and remove AI tells.