> In the HR department, entry-level staffers now spend time intervening when HR chatbots fall short, correcting output and talking to managers as needed, rather than fielding every question themselves.
The job is essentially changing from "You have to know what to say, and say it" to "make sure the AI says what you know to be right"
Is this for their in-house development or for their consulting services?
Because the latter would still be indicative of AI hurting entry level hiring since it may signal that other firms are not really willing to hire a full time entry level employee whose job may be obsoleted by AI, and paying for a consultant from IBM may be a lower risk alternative in case AI doesn't pan out.
And if it is for consulting, I doubt very serious they will based in the US. You can’t be priced competitive hiring an entry level consultant in the US and no company is willing to pay the bill rate for US based entry level consultants unless their email address is @amazon.com or @google.com.
Source: current (full time) staff consultant at a third party cloud consulting firm and former consultant (full time) at Amazon.
One might ask what value seniors hold if their expertise of the junior stage is obsolete. Maybe the new junior will just be reigning in llm that does the work and senior level knowledge and compensation rots away as those people retire without replacement.
Doubt it. Unless we go through another decade of ZIRP tied to a newly invented hyped technology that lacks specialists, and discovering new untapped markets, there's not gonna be any massive demand spike of junior labor in tech that can't be met causing wages to shoot up.
The "learn to code" saga has run its course. Coder is the new factory worker job where I live, a commodity.
Exactly, that's why counting job postings is a terrible proxy for gauging market conditions. Companies may hire anywhere from 0 to 100s of people through the same JD.
Not because it's wrong, but because it risks initiating the collapse of the AI bubble and the whole "AI is gonna replace all skilled work, any day now, just give us another billion".
Perhaps I'm being cynical, but could they be leaving out some detail? Perhaps they're replacing even more older workers with entry level workers than before? Maybe the AI makes the entry level workers just as good-- and much cheaper.
The title is a bit misleading. Reading the article, the argument seems to be that entry-level applicants (are expected to) have the highest AI literacy, so they want them to drive AI adoption.
The title could be dead wrong; the tripling of junior jobs might not be due to the limits of AI, but because of AI increasing the productivity of juniors to that of a mid or senior (or at least 2-3x-ing the output of juniors), thus making hiring juniors an appealing prospect to increase the company's output relative to competitors who aren't hiring in response to AI tech improvements. Hope this is the case and hope it happens across broadly across the economy. While the gutter press fear mongers of job losses, if AI makes the average employee much more useful (even if its via newly created roles), it's conceivable there's a jobs/salaries boom, including among those who 'lose their job' and move into a new one!
They hire juniors, give them Claude Code and some specs and save a mid/senior devs salary. I believe coding is over for SWE's by end of 2027, but will take time to diffuse though the economy hence still need some cheap labour for a few years, given the H1-B ban this is one way without offshoring.
You know when someone is singing the praises about AI and they get asked "if you're so much more productive with AI, what have you built with it"? Well I think a bunch of companies are asking this same question to their employees and realising that the productivity gains they are betting on were overhyped.
LLM's can be a very useful tool and will probably lead to measurable productivity increases in the future, at their current state they are not capable of replacing most knowledge workers. Remember, even computers as a whole didn't measurably impact the economy for years after their adoption. The real world is a messy place and hard to predict!
No one has built business AI that is flat correct to the standards of a high redundancy human organization.
Individuals make mistakes in air traffic control towers, but as a cumulative outcome it's a scandal if airplanes collide midair. Even in contested airspace.
The current infrastructure never gets there. There is no improvement path from MCP to air traffic control.
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[ 3.2 ms ] story [ 69.7 ms ] threadThe job is essentially changing from "You have to know what to say, and say it" to "make sure the AI says what you know to be right"
> Some executives and economists argue that younger workers are a better investment for companies in the midst of technological upheaval.
Because the latter would still be indicative of AI hurting entry level hiring since it may signal that other firms are not really willing to hire a full time entry level employee whose job may be obsoleted by AI, and paying for a consultant from IBM may be a lower risk alternative in case AI doesn't pan out.
Source: current (full time) staff consultant at a third party cloud consulting firm and former consultant (full time) at Amazon.
The "learn to code" saga has run its course. Coder is the new factory worker job where I live, a commodity.
https://www.ibm.com/careers/search?field_keyword_18[0]=Entry...
Total: 240
United States: 25
India: 29
Canada: 15
https://www.cohenmilstein.com/case-study/ibm-age-discriminat...
Not because it's wrong, but because it risks initiating the collapse of the AI bubble and the whole "AI is gonna replace all skilled work, any day now, just give us another billion".
Seems like IBM can no longer wait for that day.
Ahh, what could possibly go wrong!
They actually hire more junior developers
"Uhh .. to adopt AI better they're hiring more junior developers!"
Sounds like business as usual to me, with a little sensationalization.
Why Replacing Developers with AI is Going Horribly Wrong https://m.youtube.com/watch?v=WfjGZCuxl-U&pp=ygUvV2h5IHJlcGx...
A bunch of big companies took big bets on this hype and got burned badly.
Think about the economy and the AI children
LLM's can be a very useful tool and will probably lead to measurable productivity increases in the future, at their current state they are not capable of replacing most knowledge workers. Remember, even computers as a whole didn't measurably impact the economy for years after their adoption. The real world is a messy place and hard to predict!
Individuals make mistakes in air traffic control towers, but as a cumulative outcome it's a scandal if airplanes collide midair. Even in contested airspace.
The current infrastructure never gets there. There is no improvement path from MCP to air traffic control.
It's hard work and patience and math.