The AI Daily Brief: Artificial Intelligence News and Analysis - The Latest AI Job Loss Predictions
Episode Date: July 8, 2025In today's episode, we dive into the latest predictions around AI-driven job displacement, highlighted by Ford CEO Jim Farley's blunt warning that AI could eliminate half of all white-collar j...obs in the U.S. Farley's remarks at the Aspen Ideas Festival, echoed in a pointed Wall Street Journal article, underscore an emerging trend: executives outside Silicon Valley are increasingly acknowledging AI's profound workforce implications. We explore why Farley calls for urgent societal plans to support displaced workers, and what his comments signal for the broader conversation on AI and the future of work.Get Ad Free AI Daily Brief: https://patreon.com/AIDailyBriefBrought to you by:KPMG – Go to https://kpmg.com/ai to learn more about how KPMG can help you drive value with our AI solutions.Blitzy.com - Go to https://blitzy.com/ to build enterprise software in days, not months AGNTCY - The AGNTCY is an open-source collective dedicated to building the Internet of Agents, enabling AI agents to communicate and collaborate seamlessly across frameworks. Join a community of engineers focused on high-quality multi-agent software and support the initiative at agntcy.org Vanta - Simplify compliance - https://vanta.com/nlwPlumb - The automation platform for AI experts and consultants https://useplumb.com/The Agent Readiness Audit from Superintelligent - Go to https://besuper.ai/ to request your company's agent readiness score.The AI Daily Brief helps you understand the most important news and discussions in AI. Subscribe to the podcast version of The AI Daily Brief wherever you listen: https://pod.link/1680633614Subscribe to the newsletter: https://aidailybrief.beehiiv.com/Join our Discord: https://bit.ly/aibreakdownInterested in sponsoring the show? nlw@breakdown.network
Transcript
Discussion (0)
Today on the AI Daily Brief, the growing conversation about AI job displacement.
Before that, in the headlines, how Chad Shibati is shifting the business model of the internet.
The AI Daily Brief is a daily podcast and video about the most important news and discussions in AI.
All right, friends, quick announcements before we dive in.
Welcome back from the long holiday weekend for those of you who are in the U.S. and celebrating.
First of all, big thank you to today's sponsors, blitzie, plum, and super intelligent.
And to get an ad-free version of the show, go to patreon.com slash AI Daily Brief.
Ad-free starts at just $3 a month.
Today we're kicking off with a discussion of how the business model of the internet is changing
thanks to AI, LLMs, ChatGBT, GBT, etc.
And specifically, we're looking at new data from similar web that shows just how quickly
the flow of web traffic is changing.
The report found that referrals from ChatGBTBT are growing rapidly, but not fast enough
to offset the decline in clicks.
From the launch of Google's AI overviews in May of last year, the number of so-called
zero-click news searches rose from 56 to 69%.
These searches terminate with the users finding their information within the AI summary,
as opposed to, of course, heading off to some other website, which was always the bargain of
search engines.
Yes, you can index our websites in exchange for sending us traffic.
Well, now you're not necessarily sending them traffic.
Over the same period, organic traffic to news sites dropped from $2.3 billion to $1.7 billion,
a 25% decline.
Interestingly, there was a huge spike in traffic last summer.
Maybe a result of outrage over Google's AI features, but that quickly died off,
as users shifted to getting their news direct from AI overviews.
Simultaneously, news-related prompts in chat GPT grew by more than 200% since January of last year.
During that time, referrals to news websites from chat GPT grew from less than a million to more than 25 million.
This suggests that there is a new behavior happening where chat GPT users are clicking through to the original source,
but it is not enough to replace the traffic that's being lost from Google.
Similar web also noted that search rank isn't translating into web traffic in the same way it used to.
Some SEO consultants have noted that impressions have completely decoupled from clicks,
threatening in some ways the entire premise of SEO.
Digging into individual news sources, the sites experiencing the most additional traffic from
ChatGBTGPT are the biggies, Reuters, the New York Post and Business Insider.
Similar Web also looked at the most searched topics for ChatGBTGT as a news source,
finding that stocks and finance were a combined 54% of news-related prompts,
with sports and weather being at 17 and 15% respectively.
Economics, Politics, and tariffs were also above 10%.
TLDR, the AI format is absolutely having a foundational impact on the consumption of news.
Users seem to be moving away from passively consuming curated news stories, towards a more active
exploration of current events, which if you're an optimist could breed a lot of new opportunities.
Certainly not without some challenges in the meantime, though, and that is, of course,
I think the story with basically all the changes of AI. We have a very optimistic future and a very chaotic
in-between, and how well we navigate the in-between is going to dictate a lot about how well we get to
enjoy that future. If nothing else, there is a new,
for people who are designing entire new businesses around generative engine optimization or whatever
term you want to use for it. So expect a lot of entrepreneurial activity there. Now, speaking of Google
and AI overviews, the company is facing a new antitrust complaint in EU after publishers push back
on those AI overviews. As we just discussed, the doomsayers take on all of this is that the business
model of the web has been fundamentally undermined. And in the EU, publishers are not sitting around
and passively letting this happen. The independent publishers alliance argued, Google's core search engine
service is misusing web content for Google's AI overviews in Google Search, which have caused
and continue to cause significant harm to publishers, including news publishers in the form
of traffic, readership, and revenue loss. The complaint noted that publishers have no ability
to opt out of AI overviews without losing their ability to appear in traditional search
results. Google, however, is maintaining their position that AI overviews is net new demand for search,
stating, new AI experiences in search enable people to ask even more questions, which creates
new opportunities for content and businesses to be discovered. The reality is that sites can
gain and lose traffic for a variety of reasons, including seasonal demand, interests of users,
and regular algorithmic updates to search. Still, while Google is denying the impact in the press,
their actions do suggest that they know that back-end changes are required to sustain the open web.
Bloomberg, for example, reports that Google is considering modifications to their shopping
experience to comply with the EU's digital markets regulations. For travel and e-commerce searches,
Google is considering including a drop-down menu of various offers that link to external websites.
And although fines and lawsuits may be flying, there is still a general recognition that the era of
10 Blue Links is coming to a close. Even if Google buckles to demands, consumer preference is shifting
towards AI Search and many other companies are poised to take advantage. Andrew Yan, co-founder of AI
search startup Athena, said, companies have been spending the last 10 or 20 years optimizing their
website for the 10 Blue Links version of Google. That version of Google is changing very fast and is changing
forever. Like I said before, there are going to be so many interesting entrepreneurial innovations
in this space. For example, optimizing for agent searches instead of human searches. But for now,
again, this in-between period is going to be very, very messy.
Next up, some big acquisition news, Grammerly has acquired AI email client superhuman as part of their transformation into a full productivity platform.
In a press release, the company said that drafting emails is already their number one use case, so in that way, the acquisition makes a ton of sense.
Gramerly will now have a native platform for using their core product.
Still, their ambitions go much further.
The company wrote,
Gramerly is evolving into a productivity platform for apps and agents moving towards a multi-product company with hundreds of intelligent task-specific agents.
Email represents the ideal environment for this multi-agent assistance.
with professionals spending more than three hours daily in their inboxes and email remaining
foundational to any productivity suite. And I think hold aside the details, you now have multiple
labs racing to put together their own productivity suites, basically wanting to own a distribution
channel for their agentic workflows. Joy Guo writes, feels like all single feature SaaS will need
to pivot, e.g. Airtable becomes app builder, become multi-feature, e.g. Gramerlylyly acquire superhuman
or die. Still, some couldn't resist a little bit of a joke. Y.C. founder Hendricks Lou writes,
Superhuman plus grammarly. Now your emails will be fast, perfectly punctuated, and still ignored.
Next up, following up on the fallout of Zuckerberg's big poaching expedition,
Ilya Sutskhaver will be taking over as CEO of Safe Superintelligence following the departure of Daniel Gross.
In a post on X, Ilya confirmed that Gross has signed a deal to join META's superintelligence team as one of their key leaders.
He also announced that former OpenAI researcher Daniel Levy will be elevated to the role of president.
Addressing rumors that META had attempted to buy the company, Sutskaber wrote,
you might have heard rumors of companies looking to acquire us.
We are flattered by their attention but are focused on seeing our work through.
We have the compute, we have the team, and we know what to do.
Together, we will keep building safe superintelligence.
Writes TechCrunch, naturally Gross's departure may raise questions about the startup.
If safe superintelligence was close to its goal, surely a groundbreaking technology as it's
described, why would its co-founder leave to start something new seemingly at meta?
And this is a really interesting question.
I think assuming that this has much to do with where Ilya and his startup are is a little bit dangerous.
I think Future Search founder Dan Schwartz has the right of it when he writes,
Nat Friedman and Daniel Gross joining meta seems odd, but what would you do in their position if you were completely superintelligence-pilled?
They want A, a zillion GPUs, and B, a seat at the table.
Zuckerberg can offer that.
Lastly, today, if you are keeping track of pricing norms,
perplexity has joined rivals in introducing a premium $200 a month subscription.
The big selling point for Perplexity Max is unlimited access to the Labs feature.
Introduced in late May, the feature allowed users to spin up custom dashboards, web apps, and assorted
documents within the platform. The goal was to shift Perplexity away from being just an AI search engine
towards being, you guessed it, based on our previous conversation about Grammarly, an AI productivity suite.
Max also offers early access to new features, with the company's soon-to-be-released agendic browser
being the first on offer. So now we have OpenAI, Anthropic, Cursor, and Perplexity all offering
this $200 a month super premium subscription.
This will be a huge test of perplexity's user base to see how deep the devotion really goes.
In other words, is the average perplexity subscriber just a super user who's also subscribed to everything
else? It seems much less likely that that type of user is going to jump from $20 to $200.
Instead, the people who are going to be willing to spend $200 for perplexity are more likely to be
people who are actually using their specific features in a core way.
For that reason, I think it's a good move even if it doesn't have all that many subscribers,
in that it's extremely valuable for perplexity to understand who their core users really are.
Anyways, if nothing else, interesting to see how people are gravitating towards this $200 number.
For now, though, that is going to do it for today's headlines.
Next up, the main episode.
This episode is brought to you by Blitzy, the Enterprise Autonomous Software Development Platform with Infinite Code Context.
Blitzy is used alongside your favorite coding copilot as your batch software development platform
for the Enterprise-seeking dramatic development acceleration on large.
scale code bases. While traditional copilot's help with line-by-line completions, Blitzy works ahead of the
IDEE by first documenting your entire code base, then deploying over 3,000 coordinated AI
agents in parallel to batch-build millions of lines of high-quality code. The scale difference is
staggering. Copilots might give you a few hundred lines of code in seconds, but Blitzy can generate
up to 3 million lines of thoroughly vetted code. If your enterprise is looking to accelerate software
development, contact us at blitzie.com to book a custom demo or press get started to begin using
the product right away. Today's episode is brought to you by Plum. You put in the hours,
testing the prompts, refining JSON, and wrangling nodes on the canvas. Now it's time to get paid
for it. Plum is the only platform design for technical creators who want to productize their AI
workflows. With Plum, you can build, share, and monetize your flows without giving away your
prompts or configuration. When you're ready to make it,
improvements, you can push updates to your subscribers with a single click.
Launch your first paid workflow at useplum.com. That's Plum with a B and start scaling your impact.
Today's episode is brought to you by Superintelligent and I am very excited today to tell you about
our consultant partner program. The New Superintelligent is a platform that helps enterprises
figure out which agents to adopt and then with our marketplace go and find the partners that can
help them actually build by customize and deploy those agents. At the key of the key of the
that experience is what we call our agent readiness audits. We deploy a set of voice agents which
can interview people across your team to uncover where agents are going to be most effective in
driving real business value. From there, we make a set of recommendations which can turn into
RFPs on the marketplace or other sort of change management activities that help get you ready
for the new agent powered economy. We are finding a ton of success right now with consultants bringing
the agent readiness audits to their client as a way to help them move down the funnel towards
agent deployments, with the consultant playing the role of helping their client hone in on the right
opportunities based on what we've recommended and helping manage the partner selection process.
Basically, the audits are dramatically reducing the time to discovery for our consulting
partners, and that's something we're really excited to see.
If you run a firm and have clients who might be a good fit for the agent readiness audit,
reach out to Agent at B-Super.a.i with consultant in the title, and we'll get right back to you
with more on the consultant partner program. Again, that's agent at B-Supor.AI and put the word
consultant in the subject line.
Welcome back to the AI Daily Brief.
One of the biggest conversations surrounding AI is the threat of potential job displacement.
Over the last 12 months, but especially the last six months, this has definitely overtaken
any sort of robot uprising as the primary consideration and discussion point for people
who are concerned about how AI might negatively impact the future.
And part of that is, of course, being driven by a certain growing loudness in the way that
people are discussing the issue. You might remember that back in April, we got a wave of CEOs
from companies like Shopify and Duolingo saying that they were driving towards a more AI-native
strategy. Shopify's was the first, and the big banner headline of that one was a soft ban on new
hiring. Basically, Shopify teams would now need to prove that they couldn't do what they needed to do
with AI before they got approval for hiring new people. Duolingo, as I mentioned, followed Shopify,
but with an even more direct impact on their business, given that they were explicitly shifting a way,
from contractual content creators for learning modules and instead replacing them with AI-generated content.
Now, Duolingo tried to argue that they had always been constrained in their ability to create content
by the fact that they had to do it with humans. But there was definitely a bit more backlash around that one.
Klarna, meanwhile, has been something of a ground zero, always trying to be first when it comes to AI innovation.
And they made a bunch of news recently when they seemingly backtracked on their pure AI approach to customer service,
determining after some experimentation that there was always going to be some need or design.
for a premium level of human service. Amazon CEO Andy Jassy said in a recent note that he anticipated
that because of AI, there likely would be a smaller workforce, although they weren't putting any
goals around that now. And of course, the CEO of Fiverr had perhaps the bluntest assessment of the
situation saying that AI is coming for all of our jobs. Still, maybe the thing that got the most
headlines was when Anthropic CEO Dario Amadeh started putting some numbers around these estimates.
In a recent set of interviews, he said that he thought that AI could eliminate up to 50,
50% of entry-level white-collar jobs and lead to 10 to 20% unemployment overall.
And indeed, over the last couple of months, this focus on entry-level jobs and the lack of
structures that allow people to grow into new positions has definitely been a focus area for
people who are looking at the potential impact of this problem.
The New York Times encapsulated this in their piece.
For some recent, graduates, the AI job apocalypse may already be here.
The most recent leg of this story comes from comments from Ford CEO Jim Farley at the Aspen Ideas
Festival last week. And what it seems to represent is perhaps a shift in the discourse with Fortune
500 CEOs starting to acknowledge that AI adoption could have a pretty significant impact on the
workforce. At the Aspen Ideas Festival last week, Ford CEO Jim Farley said,
artificial intelligence is going to replace literally half of all white-collar workers in the U.S.
AI will leave a lot of white-collar people behind. With slightly less dramatic but still significant
numbers, Marion Lake, the CEO of J.P. Morgan Chase's consumer and community business, also told
investors recently that she saw its operations headcount falling by 10 percent, once again, thanks to
AI. The Wall Street Journal wrote, The Ford CEO's comments are among the most pointed to date from a
large company U.S. executive outside of Silicon Valley. His remarks reflect an emerging shift in how
many executives explain the potential human cost from the technology. Until now, few corporate leaders
have wanted to publicly acknowledge the extent to which white collar jobs could vanish. And what's
interesting, I think, about Farley's comments specifically, is that they are very clearly an attempt to start a
conversation from the basis of reality. He said,
We have to acknowledge that these new technologies are great. They'll make a lot of people's lives
better. But what are we going to do as a society for people that it leaves behind that are
valuable humans? For our society, we have to have a plan for sustainment and we don't have
a plan today. One example of perhaps not the conversation to have were comments from Microsoft's
Xbox games executive producer Matt Turnbull. In the wake of the recent round of layoffs at Microsoft,
Turnbull wrote on LinkedIn in a now deleted post, these are really,
really challenging times, and if you're navigating a layoff or even quietly preparing for one,
you're not alone and you don't have to go it alone. I know these types of tools engender strong
feelings in people, but I'd be remiss in not trying to offer the best advice I can under the
circumstances. I've been experimenting with ways to use LLM AI tools like ChatGPT or co-pilot
to help reduce the emotional and cognitive load that comes with job loss. Turnbull argued,
at a time when mental energy is scarce, these tools can help you get unstuck, faster,
calmer, and with more clarity. Brandon Sheffield, the director of Neckrosoft Games,
called the comments out for being tone-deaf posting, after thousands of people getting laid off
from your company, maybe don't suggest they turn to the thing you're trying to replace them
with for solace. Now, on the one hand, this does bring up a question of what the actual genesis
of Microsoft's layoffs are. I think as clean as the narrative would be if it was just AI,
there's also a lot of post-COVID realignment and reversion to the mean, as well as just preparing
for resilience and macro headwinds. But I think directionally, of course, it is accurate
to say that AI is on a longer time horizon, the big force that is going to shape the nature of the
workforce. And honestly, outside of a new headline, there hasn't been some big new story. The reason
we're covering it today is that it does feel like there's a shift in the nature of the discussion and a
new intentionality that's coming towards it as well. Bloomberg's chief U.S. economist Anna Wong
commenting on the Wall Street Journal story wrote, I'm glad this quiet part is being spoken. Let me speak
other quiet parts out loud. AI is disproportionately affecting jobs that had been in
from globalization, manufacturing jobs may be a hedge to loss of white-collar jobs.
I think that second part is particularly important because what it represents is that you're
starting to see people as we have this conversation start to wade in with their thoughts on what
might be done. So in Anna's case here, she's talking about a potential return of manufacturing
jobs and what that might look like. Then, of course, we've recently covered what Bernie Sanders
is arguing for with all this, which is basically that the productivity gains of AI should at least
be partially redistributed to workers in the form of a shorter standard workweek.
What I said when I covered that a couple of weeks ago was that regardless of what you think about that,
it's important to be having the conversation and actually advocating for policies that make sense in the context of these changes coming.
So from here, what I'm going to be looking for on this show is not only the latest evidence of how job losses are happening,
but also how the societal conversation around what we should do about it is changing.
As you can probably tell, I think that there are optimistic early signals, if too small to really call a trend,
of people acknowledging the reality of the extent of the change is coming,
and starting to try to think positively about how we can navigate it.
This is going to be a conversation for all of us
that implicates nothing less than a full revision
and re-evaluation of the social contract.
So, of course, I am glad to be here having that conversation with you.
For now that, that is going to do it for today's AI Daily Brief.
Appreciate you listening or watching, as always, and until next time, peace.
