| Tech/Software Engineers 16:41 - Oct 10 with 1397 views | Joey_Joe_Joe_Junior |
Listening to an interesting podcast.
Big Tech Told Kids to Code
(and the jobs didn't follow)
Very interesting in terms of the last decade in the US and I am sure broadly everywhere. A huge upswing in the graduates with computer sciences degrees but now an overabundance of talent in the marketplace, many struggling to find anything in the field at all.
Some of the key challenges:
- Overhiring in the Pandemic
- Start up failures and high interest rates being a challenge for new companies
- AI and general automation replacing customer service roles (eg recent Salesforce layoffs)
Many graduated thinking they would walk into a guaranteed 6 figure job, now struggling to find a career! Silicon value very different to 10-15 years ago.
A lot of the companies that soared in the pandemic have struggled since to a degree. Going to be interesting to see what the next 20 years brings in terms of the tech space and I guess AI in general. |  |
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| Tech/Software Engineers on 17:01 - Oct 10 with 1282 views | DarkHorse |
20 years? More like 2...
The new advice is to "become a plumber". Until that's oversaturated, or robots can do that too. |  | | |
| Tech/Software Engineers on 17:13 - Oct 10 with 1247 views | Swansea_Blue |
And now it seems there are increasingly worrying noises coming from market observers that the AI bubble may be just that and ready to go pop. It’s probably more of a .com market crash heading down the tracks than a debt-triggered financial crisis, but will be a bit ugly nonetheless as I imagine a lot of pension funds and ISAs are invested in what seems to be an over-promised and over-valued area. |  |
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| Tech/Software Engineers on 17:19 - Oct 10 with 1209 views | bsw72 |
Not really surprising.
Tech by design accelerates and evolves quicker than most other industries, and generally what is taught in colleges and universities is 1-2 years behind the curve at least.
As for the companies struggling post pandemic, they are not being allowed to succeed as the traditional businesses which are built around their office spaces and are effectively forcing people to return to the office so they protect their portfolios which include a huge amount of fixed property assets.
Majority of office work can be done from home, but that would force a property crash . . . |  | | |
| Tech/Software Engineers on 17:36 - Oct 10 with 1164 views | Joey_Joe_Joe_Junior |
| Tech/Software Engineers on 17:19 - Oct 10 by bsw72 |
Not really surprising.
Tech by design accelerates and evolves quicker than most other industries, and generally what is taught in colleges and universities is 1-2 years behind the curve at least.
As for the companies struggling post pandemic, they are not being allowed to succeed as the traditional businesses which are built around their office spaces and are effectively forcing people to return to the office so they protect their portfolios which include a huge amount of fixed property assets.
Majority of office work can be done from home, but that would force a property crash . . . |
Exactly that, education lagging behind industry developments. I do remember the narrative in certain circles about ten years was to "learn code" like it was the magical answer to everything. | |
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| Tech/Software Engineers on 17:44 - Oct 10 with 1144 views | tcblue |
Part of the problem here is the people who are running the companies (and investing in AI) are betting on those things inflating their personal wealth,.and are not engineers (anymore).
There's damage already done in this industry; junior engineers are no longer 'required' because of the push for agentic AI to do those things. Which means those of us already 'in' will be somewhat safe as our jobs become fixing what AI has broken, which isn't the most exciting prospect.
Hopefully the Ponzi scheme will burst. To be clear, I'm a big fan of AI and use it every day, but for very specific uses, and under my supervision. But those who, dare I say, have big bets personally on this, look at it without understanding anything other than "boy this'll make me a lot of money". |  | | |
| Tech/Software Engineers on 18:54 - Oct 10 with 1011 views | Illinoisblue |
Did the podcast touch on the large numbers of workers on HB1 visas filing positions in the STEM field? |  |
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| Tech/Software Engineers on 19:20 - Oct 10 with 948 views | bluearmy4838 |
| Tech/Software Engineers on 17:36 - Oct 10 by Joey_Joe_Joe_Junior |
Exactly that, education lagging behind industry developments. I do remember the narrative in certain circles about ten years was to "learn code" like it was the magical answer to everything. |
I remember it too. Obviously ‘the internet’ isn’t new, but it strikes me that the speed at which digital commerce has accelerated and a big Covid shaped push for remote working has obliterated a lot of previous barriers to entry in certain areas, as well as transferring knowledge faster globally. I’ve got a couple of ex colleagues who now live in Thailand effectively earning ‘London money’ and having a whale of a time on a fraction of the cost base. They’re still working for western companies so perhaps not the best example of the shift, but the tech boom in emerging economies like India is nuts now, and inevitably a lot of jobs will go out there and be done cheaper given the emergence of the talent pool that was perhaps more limited to Western economies even as recently as 10 years ago. |  | | |
| Purplemonkeydishwasher. (n/t) on 19:23 - Oct 10 with 935 views | Bloots |
| Tech/Software Engineers on 18:54 - Oct 10 by Illinoisblue |
Did the podcast touch on the large numbers of workers on HB1 visas filing positions in the STEM field? |
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| "Yeah I think you’re right, yet again….” - TWTD User (Oct 2025) |
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| Purplemonkeydishwasher. (n/t) on 22:24 - Oct 10 with 729 views | Illinoisblue |
| Purplemonkeydishwasher. (n/t) on 19:23 - Oct 10 by Bloots |
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Prepares to enter Simpsons rabbit hole… | |
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| Tech/Software Engineers on 07:20 - Oct 11 with 598 views | NthQldITFC |
| Tech/Software Engineers on 17:01 - Oct 10 by DarkHorse |
20 years? More like 2...
The new advice is to "become a plumber". Until that's oversaturated, or robots can do that too. |
Even 2 feels optimistic tbh.
Things are already out of control, not that they were ever going to stay in control.
Been listening to stuff about sora text-to-video this morning, and people still talk about strengthening laws to control AI! FFS, who in their right mind thinks that laws are going to control AI. We're done. |  |
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| Tech/Software Engineers on 09:38 - Oct 11 with 474 views | IH_KGF |
| Tech/Software Engineers on 17:01 - Oct 10 by DarkHorse |
20 years? More like 2...
The new advice is to "become a plumber". Until that's oversaturated, or robots can do that too. |
Which will never happen of course |  | | |
| Tech/Software Engineers on 10:24 - Oct 11 with 442 views | StokieBlue |
| Tech/Software Engineers on 17:13 - Oct 10 by Swansea_Blue |
And now it seems there are increasingly worrying noises coming from market observers that the AI bubble may be just that and ready to go pop. It’s probably more of a .com market crash heading down the tracks than a debt-triggered financial crisis, but will be a bit ugly nonetheless as I imagine a lot of pension funds and ISAs are invested in what seems to be an over-promised and over-valued area. |
Certainly the investment in AI has parallels with 1999, this article highlights where we are:
https://www.bbc.co.uk/news/articles/cz69qy760weo
For some context, Nvidia has gone from a market cap of under 1 trillion USD to 4.6 trillion USD in 18 months based on income of 183 billion USD per year. A big issue is that many of the funding deals are circular, Nvidia will invest in OpenAI who will then buy cloud computing from Oracle who have put in an order to Nvidia to buy the chips to support the cloud computing that OpenAI need to complete the original Nvidia investment.
That's not a precise example but a general concept of what is going on at the moment.
SB |  | | |
| Tech/Software Engineers on 10:57 - Oct 11 with 396 views | EddyJ |
I work in data.
The amount of work for junior data engineers/scientists/analysts is quickly diminishing. AIs can replicate/automate/expedite most of the work they would do. We'd already been outsourcing a lot of this work to cheaper countries, so AI is a continuation rather than start of a trend.
The amount of work for senior engineers/scientists/analysts is greater than ever. Someone needs to train the AI and architect the solutions. Until, of course, AI can do this too.
The biggest question I have is "where are the next generation of seniors coming from if we don't train juniors today?" | | | |
| Tech/Software Engineers on 11:16 - Oct 11 with 357 views | Pinewoodblue |
| Tech/Software Engineers on 17:13 - Oct 10 by Swansea_Blue |
And now it seems there are increasingly worrying noises coming from market observers that the AI bubble may be just that and ready to go pop. It’s probably more of a .com market crash heading down the tracks than a debt-triggered financial crisis, but will be a bit ugly nonetheless as I imagine a lot of pension funds and ISAs are invested in what seems to be an over-promised and over-valued area. |
Seen suggestions that if it wasn’t for the money being pumped to AI that US would be in recession.
If the AI bubble bursts it will include a debt triggered financial crisis. |  |
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| Tech/Software Engineers on 11:24 - Oct 11 with 349 views | stonojnr |
| Tech/Software Engineers on 17:19 - Oct 10 by bsw72 |
Not really surprising.
Tech by design accelerates and evolves quicker than most other industries, and generally what is taught in colleges and universities is 1-2 years behind the curve at least.
As for the companies struggling post pandemic, they are not being allowed to succeed as the traditional businesses which are built around their office spaces and are effectively forcing people to return to the office so they protect their portfolios which include a huge amount of fixed property assets.
Majority of office work can be done from home, but that would force a property crash . . . |
but you dont need to be taught the latest greatest tech, its the core principles of software engineering & tech that are key and transferrable to any new language or method of coding.
understand the basics, and youll have very good skills for the marketplace. | | | |
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