When will ai take your jop ?;
- Within 2 to 6 months
- Within 6 to 12 months
- One year to 2 years
- 2 years to 4 years
- 4 to 6 years
- 6 years to 8
- I don’t know and I am lazy to ask that question to AI
- Already AI take my job better than me
0 voters
Your poll misses one option: Never
AI can’t do physical labor. Maybe robots could, but they can’t deliver the personal warmth and charisma. At least for quite some time.
Let’s see how this post ages.
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AI can never replace my aura.
I think that’s the way to move forward.
Developing a unique aura and monetizing it…
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As a software engineer having worked on high level confidential command control in domains related to critical manufacture industries, energy, and defense…
One part of me think “C-suite won’t get stupid enough to let a robot take that kind of job, not when we have such requirement for quality, precision, and robustness.”
Another part thinks “With us engineers using AI to speed up development and stubbornly correcting it, it might get good enough to greatly reduce the amount of people needed on the job.”
Well, we’ll see this soon enough with the quickly incoming Quantum AI revolution in the 2030’s (aka the start of the Singularity event)
Also @Parsifal I’d say another big point as to why robots haven’t replaced manual labor completely yet, is that it’s too expensive as of now, with the highly specialized robots. (Hence why it’s more expensive jobs, such as surgeons, that are getting replaced)
Though we’re starting to get robot maids in some hotels to do laundry and fold.
Edit: Almost forgot, but when C-suites and governments get replaced by AI agents, it’ll most likely be over for most high paying jobs lmaoo (and we’ll get there, we’re already trying to implement smart cities more and more)
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It’s inevitable that some jobs (and skills) get lost with the AI “revolution”, like with the adoption of the computer, the electricity, etc. Many jobs (and new skills) were also created since then. Maybe it will be different this time; perhaps not.
The best you personally can do is to adapt to the change. Don’t refuse it.
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It’s still always “reduce” though. Maybe farther out in the future, but I doubt careers that embrace AI as a tool rather than a threat will be threatened anytime soon. We have algorithms to diagnose tumors, yet it’s still technicians and doctors using them. Senior-level software engineers using AI to improve their workflow, etc. Basically, if the job is intellectual to still need some kind of oversight (or art where human creativity is something that’s valued), I doubt we’ll see a complete AI takeover. Layoffs maybe, but most people here are the kind that would adapt to the new market rather than stay a victim for very long.
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I believe most AI available at the moment are mostly supervisor learning models and algorithms to gather data as much as possible.
Then from the enormous data, it will be used to train and build the real AI where it can function and work on it own. This can take another decade like how internet adapts in and changes the world.
In the meantime, data gather is serve as for controlling and monitoring for governments. Think smart camera, smart ID card, then smart EVs, smart cities, etc. “Smart” means recordable and monitorable lol. Or think Social Credit system in China.
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I took a picture and asked gpt where I was. It saw big clock and said you are in London!
Big clock and all.
Six months later I uploaded the same picture and it said “you are on the corner of broad street and spring garden. Ahead is the Philadelphia inquirer building, to your left is city hall and to your right is liberty place.”
It took it six months to be dead correct. Six months to go from I see big clock so London to picking out multiple land marks and correctly getting the intersection.
I think with gpt 5 they focused on driving cost per search down but suspect capability could have scaled instead.
Sometimes I’ll ask it something and it will be basic logic. Sometimes I’ll ask it something and it’ll pull connections I didn’t make.
It won’t be long. It’ll be a bumpy transition but in a decade I think things will be better.
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AI is way too overhyped.
People will talk about all of this Skynet “oh my god the robots are going to take all of our jobs” fearmongering garbage to make you feel less secure about your job or career path.
I hear all of this stuff, and then I go back to ChatGPT which was released almost 3.5 years ago, and struggle to do something as simple as create my desired image with a text prompt. Then I ask the IT department what they’re using AI for, expecting to hear something interesting, only for them to tell me that they’re using ChatGPT. Drafting e-mails and policies with AI. Dope.
“Oh, but in the next 10 years though…”
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I really suggest for people to study the gap between how hyped AI is, how it’s viewed, and how it’s talked about versus the current real world practicality. Then study how reliable the projections, hypotheticals, speculations and assumptions that people have about AI actually are.
This is what I recommend for people to do instead of mindlessly consuming AI headlines, clickbait videos, and collective hype.
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Actually, if you search and learn how to context engineering and then use AI, you can see some useful application of AI.
Context engineering is the method to provide AI enough information so that ypu can continue ask AI questions.
If you create 1 chat and ask AI a lot of questions, then the chat becomes big, you open another window chat, you notice that AI almost forget all the things you ask in previous chat.
So this is where context engineering come in. In the old chat, ask AI to create an context file for another chat or AI agent summary all the questions and answer so far.
Then you can upload that context file in another chat or other ai to continue, compare or clarify.
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