Have you lost your job to AI?

Have you lost your job to AI?

  • Yes, and I've been struggling to find work since

    Votes: 5 7.5%

  • Yes, and I've landed a new job already

    Votes: 0 0.0%

  • No, but I'm expecting it

    Votes: 19 28.4%

  • No, and I'm pretty confident my job is safe

    Votes: 43 64.2%
  • Total voters
    67
No (but I have no idea what will happen in the near future),

Right now still safe as our team is small and we're already churning out so much more due to coding agents that code reviews are taking up a lot more time.
 
ToxicBunny said:
Its a weird thing with companies, they go all in on something and then have to backpeddle a few years later when the bills come due, even thought the technical people were warning them of this approach from day 1.

Cloud is a great "technology" but it is not cost effective for static baseline/growing use cases, its brilliant for burstable capacity and things like that.
Click to expand...

100% on the burstable capacity, if you are in a business where compute requirements rise and fall day to day it makes perfect sense.

Especially as a new startup just going straight to cloud keep up front costs low and the business growth itself offsets the costs.

Where it makes no sense to me is when perfectly solid on-prem businesses that are working just fine suddenly decide to go all in. It makes sense to move some services to it that may require scaling but not necessarily all of it.

Like retail with Black Friday, offload that stuff to the cloud so you can survive it, makes perfect sense but then don’t go moer the fairly static internal stuff on there too just because.
 
RedViking said:
I will still have my job , but I will be working for AI and won't be allowed to use my brain or be creative. Basically losing my soul and will to live.
Click to expand...
Remember to say please and thank you to your AI master :laugh:
 
For me personally AI has actually created work from a governance and implementation perspective.

Someone has to manage and keep an eye on the AI after all especially from a security and cost perspective.

There has definitely been a head count reduction because of it, especially in our customer facing side of the business at what would have been the L1 level, but now inversely there’s a larger L2/L3 capacity and a better experience overall for our customers.

On the engineering side it’s still very much people driven with the AI used as a tool rather than a replacement of capacity, with the concern there rather being people working harder because they can work faster and that might have its own negative impact over time.

Ultimately I think it’s more a case for the octopus growing more tentacles rather than losing limbs.

The non-engineering, non-geek side of the business is also seeing a lot of growth because of AI and the added tooling and ability it brings to people who couldn’t do that kind of thing previously, so overall I feel there’s a shift in roles and functions rather than people losing their jobs because of it.

Those that can’t adapt to it will feel the pain. Like someone above said it’s going to become part and parcel of basic job literacy and those that don’t embrace it will be stuck.
 
SauRoNZA said:
100% on the burstable capacity, if you are in a business where compute requirements rise and fall day to day it makes perfect sense.

Especially as a new startup just going straight to cloud keep up front costs low and the business growth itself offsets the costs.

Where it makes no sense to me is when perfectly solid on-prem businesses that are working just fine suddenly decide to go all in. It makes sense to move some services to it that may require scaling but not necessarily all of it.

Like retail with Black Friday, offload that stuff to the cloud so you can survive it, makes perfect sense but then don’t go moer the fairly static internal stuff on there too just because.
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Or the files that actually get moved from tape to faster online storage regulary. That's where the bill got spicy
 
Things have been pretty good so far in my industry.

My observation is that jobs that require careful attention to *how* something was done are a lot safer (eg, security, finance, performance, statistical rigor centric).

Also, jobs where what needs to be done and/or what to try next by definition requires improvement over the current AI frontier: eg, you can try tell an agent to go figure out the best trade to make on the stock market and get back to you, or build a market prediction system, but the most basic of baselines already has people doing this using this, and it’s competitive, so it just won’t work. Building stuff is easy now, knowing what to build is hard.
 
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