Despite 96% of C-suite executives expecting AI to boost productivity, employees say it has increased their workload, hampered productivity and caused job burnout, research shows.
The new global study, in partnership with The Upwork Research Institute, interviewed 2,500 global C-suite executives, full-time employees and freelancers. Results show that the optimistic expectations about AI's impact are not aligning with the reality faced by many employees. The study identifies a disconnect between the high expectations of managers and the actual experiences of employees using AI.
Despite 96% of C-suite executives expecting AI to boost productivity, the study reveals that, 77% of employees using AI say it has added to their workload and created challenges in achieving the expected productivity gains. Not only is AI increasing the workloads of full-time employees, it’s hampering productivity and contributing to employee burnout.
Cool, enjoy your entire industry going under thanks to cheap and free software and executives telling their middle managers to just shoot and cut it on their phone.
Video editing is not busy work. You're excusing executives telling middle managers to put out inferior videos to save money.
You seem to think what I used to do was just cutting and pasting and had nothing to do with things like understanding film making techniques, the psychology of choosing and arranging certain shots, along with making do what you have when you don't have enough to work with.
But they don't care about that anymore because it costs money. Good luck getting an AI to do that as well as a human any time soon. They don't care because they save money this way.
I've been editing video for 30 years, 25 professionally - narrative, advertising, live, etc. I know exactly what it entails. Rough cuts can be automated right now. They still need a fair amount of work to take them to the finish line, though who knows how long that'll remain true. I'm more interested in training an AI editor on my particular editing style and choices than lamenting the death of a job description. I've already seen newscasts go from needing 9 people behind the camera to only 3 and the analog film industry transition to digital, putting LOTS of people out of a career. It's been a long time since I was under the illusion that this wouldn't happen to my occupation.
They still need a fair amount of work to take them to the finish line, though who knows how long that’ll remain true.
And I'm telling you that's not what is happening anymore. They are just having middle managers do rough cuts and saying "good enough." Have you seen the quality of advertising video these days?
"Soup to nuts" just means I am responsible for the entirety of the process, from pre-production to post-production. Sometimes that's like a dozen roles. Sometimes it's me.
I dunno, mishandling of AI can be worse than avoiding it entirely. There's a middle manager here that runs everything her direct-report copywriter sends through ChatGPT, then sends the response back as a revision. She doesn't add any context to the prompt, say who the audience is, or use the custom GPT that I made and shared. That copywriter is definitely hampered, but it's not by AI, really, just run-of-the-mill manager PEBKAC.
Voiceover recording, noise reduction, rotoscoping, motion tracking, matte painting, transcription - and there's a clear path forward to automate rough cuts and integrate all that with digital asset management. I used to do all of those things manually/practically.
e: I imagine the downvotes coming from the same people that 20 years ago told me digital video would never match the artistry of film.
Full open source, nice! I respect the effort that went into that implementation. I pretty much exclusively use 11 Labs for TTS/RVC, turn up the style, turn down the stability, generate a few, and pick the best. I do find that longer generations tend to lose the thread, so it's better to batch smaller script segments.
Unless I misunderstand ya, your controlnet setup is for what would be rigging and animation rather than roto. I do agree that while I enjoy the outputs of pretty much all the automated animators, they're not ready for prime time yet. Although I'm about to dive into KREA's new key framing feature and see if that's any better for that use case.
I was never able to get appreciably better results from 11 labs than using some (minorly) trained RVC model :/ The long scripts problem is something pretty much any text-to-something model suffers from. The longer the context the lower the cohesion ends up.
I do rotoscoping with SDXL i2i and controlnet posing together. Without I found it tends to smear. Do you just do image2image?
The voice library 11labs added includes some really reliable and expressive models. I've only trained a few voice clones, but I find them totally usable for swapping out short lines to avoid having to bring a subject back in to record. I'll fabricate a sentence or two, but for longer form stuff, I only use AI for the rough cuts. Then I'll practically record as a last step, once everything's gone through revision cycles. The "generate a few and chop em together" method is fine for short clips, but becomes tedious for longer stuff.
Funnily enough, when I say roto, I really just mean tracing the subject to remove it from the background. Background removal's so baked in to things now, I dunno if people even think of it as roto. But I mostly still prefer the Adobe solutions on this - roto brush in After Effects, for the AI/manual collaboration. As for roto in the A Scanner Darkly sense, I've played with a few of the video to video models, but mostly as a lark for fluff B-roll.