It'll be nice for drug patients to actually know the side affects of taking 10 different pills prescribed by all kinds of different doctors when the pharmacist isn't the same person or doesn't realize the total drug cocktail being taken.
Quote:
I'm hopeful I can use AI to assist in scheduling, inventory ordering, book keeping, etc.
There is plenty of evidence to your last point; all you have to do is search for it.hph6203 said:
What makes you think people would be destitute?
What is money?
Why is socialism/communism bad?
GeorgiAg said:
Get your daily dose of fear porn: The guy creating a thing is scared of the thing. Maybe stop making the thing, dude?
I didn't ask if it was bad. I asked why is it bad. What is the cause of the bad?Cinco Ranch Aggie said:There is plenty of evidence to your last point; all you have to do is search for it.hph6203 said:
What makes you think people would be destitute?
What is money?
Why is socialism/communism bad?
500,000ags said:
Thats Block mentioned above. Part of that is AI being used as an excuse to cull the herd. They hired 2.5 people (on average) every single day for 6.5 years. Which is frankly not far from the talent hoarding that went on from 2022-2023 across most tech companies. Sadly, this isn't over the top and probably close to what AI might do at scale. +50% rev per employee is realistic from an AI bump, at least to test to see if sustainable. My issue is people saying it's all coming down so Block can get to +100-200% rev per employee. It will also be interesting to see if any legit Block competitors rise up from these layoffs. Since these people can use AI to prototype overnight.
ts5641 said:GeorgiAg said:
Just got a sales call from an AI company that basically will do almost everything my secretary does right now.
It's starting....
This is what I don't get. Is this a good thing? Why make something to do this? Isn't there some kind of social contract for us out there? Why make everyone destitute?
Kaiser von Wilhelm said:
I'm in medicine and am strongly considering using AI for radiology review. In medicine, radiologists will be easily the most replaceable. The cost of an X-ray review will be 1/3 to 1/10 (if statted) of a human, and more accurate overall. And results will come back in 5 minutes instead of hours (or days). The quality of care will go up significantly and the cost will go down exponentially. Tough pill to swallow, but at least in my industry AI will revolutionize quality and cost across the board. We have to adapt to the changing rules, and make progress best we can, which is still possible in spite of inevitable damage along that way. That said, I know doctors' roles are dispensable as well. PCPs are the most worthless, so I actually am ok with that entire role going away, so they can maybe even become an actual productive part of the system. PCPs and radiologists will go away soon, with zero negative consequences. After that, I am betting that a lot of doctor roles will be easily replaceable, and nursing may actually end up being more stable jobs than doctors. "Thinking" will be replaced, but "doing" will remain for longer.
Of course, that won't translate to lower healthcare or insurance costs, as someone above will profit regardless of lower expenses, but at least the quality and efficiency will go up...
whytho987654 said:Kaiser von Wilhelm said:
I'm in medicine and am strongly considering using AI for radiology review. In medicine, radiologists will be easily the most replaceable. The cost of an X-ray review will be 1/3 to 1/10 (if statted) of a human, and more accurate overall. And results will come back in 5 minutes instead of hours (or days). The quality of care will go up significantly and the cost will go down exponentially. Tough pill to swallow, but at least in my industry AI will revolutionize quality and cost across the board. We have to adapt to the changing rules, and make progress best we can, which is still possible in spite of inevitable damage along that way. That said, I know doctors' roles are dispensable as well. PCPs are the most worthless, so I actually am ok with that entire role going away, so they can maybe even become an actual productive part of the system. PCPs and radiologists will go away soon, with zero negative consequences. After that, I am betting that a lot of doctor roles will be easily replaceable, and nursing may actually end up being more stable jobs than doctors. "Thinking" will be replaced, but "doing" will remain for longer.
Of course, that won't translate to lower healthcare or insurance costs, as someone above will profit regardless of lower expenses, but at least the quality and efficiency will go up...
Every non-radiologist physician says this. Meanwhile, no radiologist is getting displaced by midlevels, while swarths of other fields are, and the demand increases. An xray also reimburses the rad like $10 lol, no one wants to read them, and that comes with a million dollar liability. Some rads have gotten incredibly rich as expert witnesses doing court cases on an ortho, pcp, NP/PA doing "their own reads" and missing stuff
hph6203 said:I didn't ask if it was bad. I asked why is it bad. What is the cause of the bad?Cinco Ranch Aggie said:There is plenty of evidence to your last point; all you have to do is search for it.hph6203 said:
What makes you think people would be destitute?
What is money?
Why is socialism/communism bad?
ts5641 said:GeorgiAg said:
Just got a sales call from an AI company that basically will do almost everything my secretary does right now.
It's starting....
This is what I don't get. Is this a good thing? Why make something to do this? Isn't there some kind of social contract for us out there? Why make everyone destitute?
ts5641 said:GeorgiAg said:
Just got a sales call from an AI company that basically will do almost everything my secretary does right now.
It's starting....
This is what I don't get. Is this a good thing? Why make something to do this? Isn't there some kind of social contract for us out there? Why make everyone destitute?
“ OMG XYZ tech company just laid off 40% of the company!”
— Skely (@123skely) February 27, 2026
40% of the company:
pic.twitter.com/AhTuBLact0
we are so cooked https://t.co/lphhUlTzs0 pic.twitter.com/bB6cT4tUNp
— Brivael (@brivael) February 27, 2026
Mr.Milkshake said:
There's such a severe misunderstanding of probabilistic language models.
They have no drive except what's engrained in them whether via pre-training, fine tuning, or system prompt. It's literally probabilistic KV mapping. Could say we are the same but we've already been programmed for survival. AI will not have that unless programmed that way, like us.
Currently LLM consumer versions can't remember much of anything beyond the human equivalent of something like an hour of conversation. This wil grow and if frontier model owners devoted their entire stack to a single instance, context memory would be interesting to observe, but right now nothing is planning or executing on ideas that take days to weeks of planning and implementation agentically.
I'm sure they'll get there but there is no self drive in these things except what we give them
LMCane said:TheEternalOptimist said:
Yeah - being in Implementation and Operations, I can see the AI tsunami coming.
I am not in denial that it's coming. I just hope it holds off long for me to early retire early from the big blue German financial software company that I work for. We are implementing it across the spectrum of our products in terms of operations, implementation, support, and even sales. Many of you here I assure you use the travel and expense platform I work on.
I have to say I 'concur' with a lot of the concerns about AI taking jobs... but I also don't think it's the end of the world.
For the near future, a lot of the learn to code folks need to learn to weld, plumb, or electrician skills. That might include me .
SAP?
Quote:
a new, cross-asset research report from Morgan Stanley offers a remarkably grounding message for anxious employees and jittery markets: Most of you won't be permanently unemployed; you are just going to find new jobs, many or most of which don't exist yet.
Addressing the widespread concern that AI will "replace millions of jobs and increase unemployment by an equivalent amount," a large team of Morgan Stanley analysts pointed directly to history. Over the past 150 years, sweeping technological shiftsfrom electrification and the tractor to the computer and the internethave fundamentally altered the labor force, but they "did not replace labor."
When the spreadsheet was popularized in the 1980s, for example, it automated tedious financial modeling and reduced the need for certain bookkeeping clerks. However, it simultaneously freed up analysts' time to do more complex work and birthed entirely new financial professions. Similarly, the firm argues, AI will merely change "job types, occupations, and needed skills."
"While some roles may be automated, others will see enhancement through AI augmentation, and other, entirely new roles will be created," the report said. Rather than a mass extinction event for the white-collar worker, the bank sees the corporate landscape simply preparing for an evolution.
The jobs to come?
So, what will these new jobs look like? Morgan Stanley outlines several emerging professions that it predicts will soon become corporate staples. As AI becomes central to business strategy, companies are expected to hire executive-level "chief AI officers" to guide technology adoption across departments. There will also be a massive surge in AI governance roles focused on data compliance, policy oversight , and information security, particularly in sensitive sectors like health care.
The tech sector could see the rise of blended roles, such as the product manager/engineer hybrid. Empowered by natural language coding tools, product managers will increasingly engage in "vibe coding"prototyping and iterating concepts themselves before handing them off to engineers for deployment.
Highly specialized roles could also emerge across various industries. In the consumer sector, "AI personalization strategists" and "AI supply-chain analysts" will blend data science with customer experience. In industrials, we will see "predictive maintenance engineers" and "smart grid analysts," while health care will demand "computational geneticists" and specialists dedicated to AI diagnostic oversight.
For financial markets, the current panic over AI disruption appears premature, if not entirely misplaced, in the bank's view. Morgan Stanley notes that the services and cyclical industries that have recently seen outsize underperformance owing to disruption fears make up only about 13% of the S&P 500's market cap.
Fortune previously reported on a similar finding from other Wall Street economists: The market appears to be talking itself into a panic that the fundamentals don't justify, a trend likely exacerbated by the increasing number of retail investors in the equities market.
Windy City Ag said:
Morgan Stanley had a pretty good piece out today on the impact on jobs from AI. It lines up with how I feel.
It is not surprising that individuals over extrapolate the implications of new technology on economic growth and employment. Humans have behaved that way since the dawn of time and people on this site are no less prone to irrational conclusions.
Financial service is a great template. Salaries, profits, and employment in the industry is at an all time high, but the industry has seen incredible shifts the last three decades in employment roles, product development and maintenance, client servicing, and back office.
In the early 1990s, humans still did a lot of the statistical tabulation and back office settlement work, products were sold primarily by human agents using direct conversations or phone calls, and paperwork was literally that. Ledgers were used on institutional trading desks to monitor positions. Squawk boxes on broker desks were how sales managers reach out to the brokerage force. Actual trading and settlement was still reliant on floor dealers. OTC pricing for derivatives and had human appraisal at its core.
Internet connectivity and telecommunications and computing power advances have eliminated all of that. Retail brokers are completely gone with zero cost online trading platforms taking their place. Treasury and corporate bond liquidity management and sales has a few folks there but almost everything is tracked, priced and traded by algorithms. Derivative exchanges and sales desks have morphed completely. Floor brokers are hilarious anachronism around mostly for optics.
The biggest victims were the overpaid institutional salespeople, usually Starbucks toting brochure handlers earning 7 figures. They are all gone now, replaced by humans that can talk in depth on coding solutions to allow funds or RIAs to optimize trading yield across multiple exchange and dark pools but never talk research or idea generation.
Back office services are now highly automated or offshored.
And yet the industry is still very profitable and even more of a source of labor than in years past.
The same endless evolution will happen again . . . .for those who predict job apocalypse, most all of recorded history is not in your side in the discussion.
Quote:
a new, cross-asset research report from Morgan Stanley offers a remarkably grounding message for anxious employees and jittery markets: Most of you won't be permanently unemployed; you are just going to find new jobs, many or most of which don't exist yet.
Addressing the widespread concern that AI will "replace millions of jobs and increase unemployment by an equivalent amount," a large team of Morgan Stanley analysts pointed directly to history. Over the past 150 years, sweeping technological shiftsfrom electrification and the tractor to the computer and the internethave fundamentally altered the labor force, but they "did not replace labor."
When the spreadsheet was popularized in the 1980s, for example, it automated tedious financial modeling and reduced the need for certain bookkeeping clerks. However, it simultaneously freed up analysts' time to do more complex work and birthed entirely new financial professions. Similarly, the firm argues, AI will merely change "job types, occupations, and needed skills."
"While some roles may be automated, others will see enhancement through AI augmentation, and other, entirely new roles will be created," the report said. Rather than a mass extinction event for the white-collar worker, the bank sees the corporate landscape simply preparing for an evolution.
The jobs to come?
So, what will these new jobs look like? Morgan Stanley outlines several emerging professions that it predicts will soon become corporate staples. As AI becomes central to business strategy, companies are expected to hire executive-level "chief AI officers" to guide technology adoption across departments. There will also be a massive surge in AI governance roles focused on data compliance, policy oversight , and information security, particularly in sensitive sectors like health care.
The tech sector could see the rise of blended roles, such as the product manager/engineer hybrid. Empowered by natural language coding tools, product managers will increasingly engage in "vibe coding"prototyping and iterating concepts themselves before handing them off to engineers for deployment.
Highly specialized roles could also emerge across various industries. In the consumer sector, "AI personalization strategists" and "AI supply-chain analysts" will blend data science with customer experience. In industrials, we will see "predictive maintenance engineers" and "smart grid analysts," while health care will demand "computational geneticists" and specialists dedicated to AI diagnostic oversight.
For financial markets, the current panic over AI disruption appears premature, if not entirely misplaced, in the bank's view. Morgan Stanley notes that the services and cyclical industries that have recently seen outsize underperformance owing to disruption fears make up only about 13% of the S&P 500's market cap.
Fortune previously reported on a similar finding from other Wall Street economists: The market appears to be talking itself into a panic that the fundamentals don't justify, a trend likely exacerbated by the increasing number of retail investors in the equities market.
Logos Stick said:whytho987654 said:Kaiser von Wilhelm said:
I'm in medicine and am strongly considering using AI for radiology review. In medicine, radiologists will be easily the most replaceable. The cost of an X-ray review will be 1/3 to 1/10 (if statted) of a human, and more accurate overall. And results will come back in 5 minutes instead of hours (or days). The quality of care will go up significantly and the cost will go down exponentially. Tough pill to swallow, but at least in my industry AI will revolutionize quality and cost across the board. We have to adapt to the changing rules, and make progress best we can, which is still possible in spite of inevitable damage along that way. That said, I know doctors' roles are dispensable as well. PCPs are the most worthless, so I actually am ok with that entire role going away, so they can maybe even become an actual productive part of the system. PCPs and radiologists will go away soon, with zero negative consequences. After that, I am betting that a lot of doctor roles will be easily replaceable, and nursing may actually end up being more stable jobs than doctors. "Thinking" will be replaced, but "doing" will remain for longer.
Of course, that won't translate to lower healthcare or insurance costs, as someone above will profit regardless of lower expenses, but at least the quality and efficiency will go up...
Every non-radiologist physician says this. Meanwhile, no radiologist is getting displaced by midlevels, while swarths of other fields are, and the demand increases. An xray also reimburses the rad like $10 lol, no one wants to read them, and that comes with a million dollar liability. Some rads have gotten incredibly rich as expert witnesses doing court cases on an ortho, pcp, NP/PA doing "their own reads" and missing stuff
AI is better than the best radiologists right now.
whytho987654 said:Logos Stick said:whytho987654 said:Kaiser von Wilhelm said:
I'm in medicine and am strongly considering using AI for radiology review. In medicine, radiologists will be easily the most replaceable. The cost of an X-ray review will be 1/3 to 1/10 (if statted) of a human, and more accurate overall. And results will come back in 5 minutes instead of hours (or days). The quality of care will go up significantly and the cost will go down exponentially. Tough pill to swallow, but at least in my industry AI will revolutionize quality and cost across the board. We have to adapt to the changing rules, and make progress best we can, which is still possible in spite of inevitable damage along that way. That said, I know doctors' roles are dispensable as well. PCPs are the most worthless, so I actually am ok with that entire role going away, so they can maybe even become an actual productive part of the system. PCPs and radiologists will go away soon, with zero negative consequences. After that, I am betting that a lot of doctor roles will be easily replaceable, and nursing may actually end up being more stable jobs than doctors. "Thinking" will be replaced, but "doing" will remain for longer.
Of course, that won't translate to lower healthcare or insurance costs, as someone above will profit regardless of lower expenses, but at least the quality and efficiency will go up...
Every non-radiologist physician says this. Meanwhile, no radiologist is getting displaced by midlevels, while swarths of other fields are, and the demand increases. An xray also reimburses the rad like $10 lol, no one wants to read them, and that comes with a million dollar liability. Some rads have gotten incredibly rich as expert witnesses doing court cases on an ortho, pcp, NP/PA doing "their own reads" and missing stuff
AI is better than the best radiologists right now.
Except its not, can AI do a UFE?
whytho987654 said:
The people hoping for a job apocalypse, from what ive seen, are not doing so well themselves....
Logos Stick said:whytho987654 said:Logos Stick said:whytho987654 said:Kaiser von Wilhelm said:
I'm in medicine and am strongly considering using AI for radiology review. In medicine, radiologists will be easily the most replaceable. The cost of an X-ray review will be 1/3 to 1/10 (if statted) of a human, and more accurate overall. And results will come back in 5 minutes instead of hours (or days). The quality of care will go up significantly and the cost will go down exponentially. Tough pill to swallow, but at least in my industry AI will revolutionize quality and cost across the board. We have to adapt to the changing rules, and make progress best we can, which is still possible in spite of inevitable damage along that way. That said, I know doctors' roles are dispensable as well. PCPs are the most worthless, so I actually am ok with that entire role going away, so they can maybe even become an actual productive part of the system. PCPs and radiologists will go away soon, with zero negative consequences. After that, I am betting that a lot of doctor roles will be easily replaceable, and nursing may actually end up being more stable jobs than doctors. "Thinking" will be replaced, but "doing" will remain for longer.
Of course, that won't translate to lower healthcare or insurance costs, as someone above will profit regardless of lower expenses, but at least the quality and efficiency will go up...
Every non-radiologist physician says this. Meanwhile, no radiologist is getting displaced by midlevels, while swarths of other fields are, and the demand increases. An xray also reimburses the rad like $10 lol, no one wants to read them, and that comes with a million dollar liability. Some rads have gotten incredibly rich as expert witnesses doing court cases on an ortho, pcp, NP/PA doing "their own reads" and missing stuff
AI is better than the best radiologists right now.
Except its not, can AI do a UFE?
AI is better than the best diagnostic radiologists right now. It will eventually replace interventional radiologists, a small subset of the field.
You can kick and scream and deny all you want, but that doesn't change the facts.
Give me AI all day over a radiologist to read/interpret my images.
1981 Monte Carlo said:whytho987654 said:
The people hoping for a job apocalypse, from what ive seen, are not doing so well themselves....
Is anyone hoping for this? Hoping for an absolute nightmare scenario? I know a lot of people who are scared of a potential job apocalypse, but no one who is HOPING for it.
1981 Monte Carlo said:whytho987654 said:
The people hoping for a job apocalypse, from what ive seen, are not doing so well themselves....
Is anyone hoping for this? Hoping for an absolute nightmare scenario? I know a lot of people who are scared of a potential job apocalypse, but no one who is HOPING for it.
whytho987654 said:Logos Stick said:whytho987654 said:Logos Stick said:whytho987654 said:Kaiser von Wilhelm said:
I'm in medicine and am strongly considering using AI for radiology review. In medicine, radiologists will be easily the most replaceable. The cost of an X-ray review will be 1/3 to 1/10 (if statted) of a human, and more accurate overall. And results will come back in 5 minutes instead of hours (or days). The quality of care will go up significantly and the cost will go down exponentially. Tough pill to swallow, but at least in my industry AI will revolutionize quality and cost across the board. We have to adapt to the changing rules, and make progress best we can, which is still possible in spite of inevitable damage along that way. That said, I know doctors' roles are dispensable as well. PCPs are the most worthless, so I actually am ok with that entire role going away, so they can maybe even become an actual productive part of the system. PCPs and radiologists will go away soon, with zero negative consequences. After that, I am betting that a lot of doctor roles will be easily replaceable, and nursing may actually end up being more stable jobs than doctors. "Thinking" will be replaced, but "doing" will remain for longer.
Of course, that won't translate to lower healthcare or insurance costs, as someone above will profit regardless of lower expenses, but at least the quality and efficiency will go up...
Every non-radiologist physician says this. Meanwhile, no radiologist is getting displaced by midlevels, while swarths of other fields are, and the demand increases. An xray also reimburses the rad like $10 lol, no one wants to read them, and that comes with a million dollar liability. Some rads have gotten incredibly rich as expert witnesses doing court cases on an ortho, pcp, NP/PA doing "their own reads" and missing stuff
AI is better than the best radiologists right now.
Except its not, can AI do a UFE?
AI is better than the best diagnostic radiologists right now. It will eventually replace interventional radiologists, a small subset of the field.
You can kick and scream and deny all you want, but that doesn't change the facts.
Give me AI all day over a radiologist to read/interpret my images.
If it replaces DR everyone on this board will be unemployed, if it replaces IR no one in the world will be working. And no, it is not better than the diagnostic guys right now, hence why their supply and demand market keeps favoring them
Quote:
The tech sector could see the rise of blended roles, such as the product manager/engineer hybrid. Empowered by natural language coding tools, product managers will increasingly engage in "vibe coding"prototyping and iterating concepts themselves before handing them off to engineers for deployment.
500,000ags said:
Haha, the mass gas lighting is from AI. I've seen people defensive about losing their income, but that's to be expected. That's not gas lighting though.
500,000ags said:
There is definitely going to be a merge of PM and Engineer roles. I wonder if there is going to be a new form of workflow engineers that manage AI relationships with dev, testing, and prod. Probably 50% less people overall.