Breaking Job News: Meta Cuts Jobs to Focus on AI & Gartner Predicts 100% of IT Work Will Involve AI

The question isn’t whether AI will reshape your job; it’s how soon.

From Meta’s latest layoffs inside its Superintelligence Lab to Gartner’s forecast that 100% of IT work will involve AI by 2030, these job market headlines connect the dots between automation, opportunity, and what it all means for your career.

Host Pete Newsome starts with Meta’s 600 job cuts and what “streamlining decisions” really means: a leaner team built around AI infrastructure, with elite hiring on one side and quiet reductions on the other. Then, we dig into a new survey showing 72% of U.S. companies now use AI, but over half admit they’re not equipped to use it effectively. That gap between access and application is where the next wave of winners and losers will emerge.

Then Pete unpacks why AI enablement, workflow redesign, and clear guardrails are the new essentials, plus how job seekers are already adapting by using AI for resumes, interviews, and skill-building. And finally, he looks ahead to Gartner’s 2030 vision: every IT role shaped by AI, with humans guiding 75% of work and automation handling the rest.

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News Articles:
1. Axios Meta Layoffs: https://www.axios.com/2025/10/22/meta-superintelligence-tbd-ai-reorg
2. Gartner CIO survey: https://www.gartner.com/en/newsroom/press-releases/2025-10-20-gartner-survey-finds-all-it-work-will-involve-ai-by-2030-organizations-must-navigate-ai-readiness-and-human-readiness-to-find-capture-and-sustain-value
3. Express Employment AI survey: https://www.expresspros.com/newsroom/news-releases/news-releases/2025/10/72-percent-of-companies-use-ai-but-55-percent-say-they-lack-training-and-resources-as-job-seekers-fear-replacement

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Episode Transcript

Pete Newsome (00:00):
Today's job market headlines include new data
showing how many US companieshave adopted AI and CIO
predictions for AI replacing ITwork.
But first, there's a new layoffcoming from one of the Mag 7.
Meta just announced that it'scutting 600 jobs inside its
superintelligence lab, whichincludes AI research product and

(00:21):
infrastructure teams.
The only group currentlyuntouched is what they call the
TBD lab, which is focused onbuilding AI systems that could
eventually outperform the humanbrain.
Okay, I wouldn't want to laythose folks off either, whoever
they are.
Now, this news was delivered inan internal memo as reported by
Axios, where Meta Chief AIofficer Alexander Wang wrote, by

(00:44):
reducing the size of our team,fewer conversations will be
required to make a decision, andeach person will be more load
bearing and have more scope andimpact.
Wow, that is an unnecessarilyelaborate way to say, hey
everyone, we're just going to domore with less.
And if you happen to still behere, well, you're going to have

(01:05):
to pick up the slack of the 600that we're getting rid of.
I mean, are you kidding me?
Load bearing?
Who says that?
Anyway, that's what's going onat Meta, and it's just another
continuation of what's alreadybeen happening.
They laid off 3,000 people inFebruary, and then another 5% of
the workforce was cut inJanuary.

(01:26):
So although Meta is spendingbillions recruiting top AI
researchers, we're sure you'veseen that reported, it seems
that these high-value researchjobs are being created, but at
the same time, hundreds oftechnical and support roles are
just kind of quietly beingeliminated along the way.
And so for me, the story is thatyes, Meta is doing great

(01:47):
things, making great progress,but this should also serve as a
reminder that the AI revolutiontaking place isn't going to lift
all boats equally.
And I can't help but wonderwhen reading this story, in
fact, it was the first thingthat popped into my mind, is
they're replacing AI jobs, butconveniently didn't say how many

(02:09):
of those are being replaced byAI agents.
What are the odds that it'szero?
They didn't mention it, butinstead they were focused on
yes, people are going to makefaster decisions and be
load-bearing and all of that.
But look, there's real jobsbeing cut and real people losing
them.

(02:29):
So I would want to know howmany are being replaced by AI
along the way.
If I'm a meta employee, that'spretty telling for the future.
So this is an interesting cyclethat we're in, to say the
least.
But Meta is not alone in tryingto figure all this out.
Most companies say they're allin on AI, but more than half

(02:49):
admit they don't know how to useit effectively.
A new survey from ExpressEmployment showed that 72% of US
companies now use AI, andthat's up from 66% last year,
but 55% of those using it saythey lack the training and
resources to help theiremployees use it productively.
Now, my first thought whenreading this is what about the

(03:10):
28% who aren't yet using AI atall?
What are you doing?
You're so far behind, you'renot even in the game at this
point.
You really need to catch up.
But yes, adoption in AI iseasier said than done.
It was a chief complaint that Iheard at a big conference two
weeks ago where there were lotsof AI vendors.
Companies are trying new toolsand services, but just not

(03:34):
getting the right level ofacceptance and use internally.
And it's something that I'veexperienced at my own company
with some of the early toolsthat we implemented.
So using it and then using itwell just seem to be very
different things in the AI spaceright now.
And the workers who participatein this survey, they're also
being impacted by AI.

(03:54):
No surprise there.
64% worry that AI will reducetheir job opportunities, and
almost half who took the surveyfear that their own jobs could
disappear entirely.
That fear seems to run highestamong Gen Z and lower income
workers.
And interestingly, more menthan women say they fear being
replaced.
52% of men versus 43% of women.

(04:17):
I have no idea why, but I dofind that a very interesting
stat.
So as this worry continues togrow, it seems that workers are
at least taking advantage of AIalong the way and helping with
their next job opportunity.
The survey showed that 82% areusing it to write resumes and
cover letters.
Okay, some of you are stillwriting cover letters out there.

(04:39):
I didn't miss that.
And 69% are using it forheadshots and more than half for
AI interview prep.
So good for all of you, butpleased with the AI interview
prep.
Leave it there.
Don't use it for AI answersduring your interview.
That won't end well for anyone.
And I think this is a goodsnapshot of just where we are

(04:59):
right now.
Shows people are nervous aboutAI, but also sort of excited
about the future and where it'sheading, but making the most of
it while they can.
And I think that is a reallyimportant thing to do right now.
Make sure that you're one ofthe ones using it, become that
subject matter expert inwhatever it is you do, and don't
be caught off guard by therapid pace of change.

(05:22):
But speaking of rapid change,here's another one for you.
This next story really showswhat the future of work looks
like when AI becomes mandatory,not optional.
Within five years, every IT jobwill involve artificial
intelligence, whether you'reready or not.
That's straight from Gardner's2025 CIO survey, which found
that by 2030, 0% of IT work willbe done without AI.

(05:47):
Instead, 75% will be done byhumans augmented with AI, and
25% will be handled entirely byAI systems.
Gardner says that to prepare,organizations need two types of
readiness.
What they call AI readiness,meaning technology, costs, and
vendors are all in alignment,and human readiness, where
employees are prepared to use AIeffectively.

(06:09):
We keep seeing that a lot.
It's not just aboutimplementation or adoption, it's
about the proper training andeducation along the way.
And of course, getting thebuy-in from your entire team.
Gardner also warned that ifworkers rely too heavily on AI,
that they will have skillsatrophy, meaning they'll lose
their ability to thinkcritically or communicate

(06:32):
effectively because AI will bedoing all the thinking for them.
I think that's happeningalready.
We keep seeing signs of that.
They also urge leaders to stophiring for repetitive or low
complexity roles and insteadreposition employees into areas
that drive revenue andinnovation.
That sounds nice, doesn't it?

(06:53):
Just move everyone into arevenue generating role.
No big deal.
Okay, enough sarcasm from me onthat.
But look, here's what stood outthe most in this survey that
Gartner predicts AI's overallimpact on jobs will be neutral
through 2026.
Okay, I can buy off on that,even though I think that's a

(07:15):
little optimistic.
But by 2036, it will havegenerated 500 million net new
jobs worldwide in IT.
So 500 million net new humanjobs created.
That sounds wonderful.
That also sounds like wishfulthinking to me.

(07:36):
I admittedly am extremelyskeptical over these thoughts
that AI is not going to resultin job displacement.
It's just going to enhancejobs, or in this case, it's
going to create lots of jobs.
And I want to be wrong, noquestion about it.
I guess we'll have to checkback in 2036 to find out.

(07:58):
But I'd much rather be wrongthan caught off guard.
And I wish that for everyoneelse too.
Time will tell.
And look, one thing we know forsure from these stories today
is that AI is transforming theworkplace.
The train has absolutely leftthe station.
It's picking up speed.
And just make sure you're onit.
So before we go today, here'syour fun fact.

(08:21):
The gig economy got its namefrom musicians.
Musicians play gigs,freelancers work gigs, it all
ties in together.
And I that is compared to, Iguess, well, working permanently
somewhere, of course, right?
Although there's some musicianswho do that out in Vegas,
right?
Or those called residencies, Ithink.
Anyway, so the gig economy,there you go.

(08:42):
Now you know where it camefrom.
Thank you for listening today.
Please like, share, andsubscribe.
I would certainly appreciate itthat a lot.
And thanks for listening.
Talk to you tomorrow.