• Anthropic has posted an "events lead, brand" role on its careers page.
• The role offers up to $400,000 a year — more than similar events roles at the company.
• Silicon Valley figures, including Marc Andreessen, posted about the role on X.

As artificial intelligence floods the internet, Anthropic will pay up to $400,000 for something decidedly human: in-person events.

The AI company behind Claude and Claude Code has an open listing for a brand events lead role based in San Francisco or New York, with a salary range of $320,000 to $400,000.

It's a notably human layer in an industry that's defined by automation.

The role caught the attention of some of Silicon Valley's biggest names, including venture capitalist Marc Andreessen.

The hire would be responsible for producing anything from small, invite-only gatherings to large-scale conferences. The posting emphasizes live demos, technical deep dives, and face-to-face conversations with policymakers and academic audiences.

Anthropic also says the hired human must be "comfortable with significant travel," and says that 30% to 40% of the job will be on the road.

Applicants still need to provide a cover letter. They also need to write a 200- to 400-word essay explaining why they want to work at Anthropic.

The position pays more than similar events roles at the company, including an enterprise-focused position that pays up to $320,000 and a Europe, Middle East, and Africa events role that tops out at £200,000.

The hiring push comes as AI companies race to reshape their own narratives.

OpenAI acquired TBPN in April, in part to work on its product communications. Meanwhile, Elon Musk's xAI has leaned heavily on its ownership of X (formerly Twitter) to control distribution and narrative.

Those efforts come as tech leaders, including OpenAI CEO Sam Altman, have acknowledged that public sentiment around AI has cratered amid warnings that their technologies could gradually reshape the job market and drive up energy demand.

Anthropic has built its identity around a far more cautious approach to deploying powerful AI systems. Now, instead of just broadcasting that message, it's looking to hire a well-paid human to take that message on the road.

"We believe that the highest-impact AI research will be big science," the company wrote in the posting. "We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science."

This is part of a new series on jobs in emerging fields. Are you hiring for a cool job? Did you see an unusual job listing? Email bshimkus@businessinsider.com, or reach out via the secure messaging app Signal at bshimkus.41

• AI has become a hiring buzzword, and four employees explained how they added it to their job titles.
• An AI engineer said showcasing side projects was pivotal to transitioning from software engineering.
• Two non-technical Microsoft employees said having a humanities background was a strength.

AI is the buzziest word on the job market — and many workers want to know how to pivot into it.

As many technical workers upskill to stay on the cutting edge, others are moving into AI-focused roles from entirely different industries.

Many companies are pouring an eye-watering amount of money into AI, cutting some roles while adding new positions tied to the technology.

Against that backdrop, moving into AI could be a way for workers to future-proof their careers as the employment market reshuffles. AI engineers, consultants, strategists, and researchers rank among the top five fastest-growing roles in the US, according to LinkedIn's Jobs On the Rise 2026 report.

There's no single path into AI, and Business Insider spoke with four workers who took very different ones. Read on to learn how they pivoted their careers.

Natasha Crampton, Microsoft chief responsible AI officer

Natasha Crampton got her start as an attorney and is now Microsoft's first chief responsible AI officer.

Her job includes working side-by-side with engineering, sales, and research teams to ensure they uphold principles as they build AI systems. It also includes external work, such as helping establish new laws and standards in the space,

Crampton studied information systems in addition to law, and said she always had an interest in the intersection of technology, law, and society. During the strictly legal phase of her career, she said she always worked on technological issues, such as helping Microsoft draft contracts.

She said people looking to move into tech from other fields should start by using the technology themselves. She added that many technical skills are learnable, so coming from a different background shouldn't limit someone's ability to help shape it. She said, "a huge amount of the value" lies at the intersection of technical knowledge and insights from the social sciences.

Georgian Tutuianu, Hubspot AI engineer

Georgian Tutuianu has had several transitions in engineering, from structural to traditional to software to AI at HubSpot.

Tutuianu said that his ability to get technically in the weeds was an asset during the interview process, and showed he had experience with AI.

He also highlighted that his résumé has a section dedicated to personal projects. Tutuianu said he included one AI project, but it was enough. He said it came up naturally in the interview because he was asked about a time he used or built an AI agent.

"It was a juicy project where I could talk about it, and that was good enough," Tutuianu said.

Tutuianu said he also had to do a take-home coding assignment and review it with the hiring manager afterward, but there was no algorithmic component to the interview.

"Instead of the typical software engineering way that these interviews go, which is 'go solve this algorithm in front of me,'" Tutuianu said. "It's more of 'can you build the things that we care about? Show me."

Jai Raj Choudhary, StackAI engineer

Jai Raj Choudhary transitioned from a data-focused role to an AI engineer at AI agent startup StackAI.

The 24-year-old said he got his job by reaching out to StackAI's cofounder multiple times on LinkedIn. Choudhary said he had used the company's platform as a student, so he messaged the cofounder and started posting about StackAI, offering advice to the company.

He said he thinks he got offers from StackAI was because he understood data quality, the edge cases for the clients, the matrix, and the failure modes of the AI model or any LLM systems that were being used.

He said moving to San Francisco, where 9-9-6 culture existed, helped open his opportunities in the space.

"It's not like a 9-to-5 cushy job," Choudhary said. "We work 9-to-9, six days a week. You wake up, you think about the problem that a client had, and you sleep thinking about what is not fixed yet."

Also, taking a job at a startup that helped him grow and devoting himself to continuous learning made a big difference. Choudhary said he spent hours studying every day.

Brit Morenus, Microsoft senior AI gamification program manager

Brit Morenus, a 37-year-old senior AI gamification program manager, studied English, communications, and marketing in college. She started at Microsoft about 13 years ago as an executive assistant, and for the first five and a half years at the company, she was a contract worker.

She later moved into a role focused on gamification — using game mechanics to teach and market Microsoft's products.

She spent about a year getting certifications that taught her about game mechanics, and in that position, she became a full-time employee. Six years later, she had the opportunity to start gamifying learning about AI, and spent three months learning about it.

Her advice to others who want to transition is to resist letting fear keep you from stepping outside your comfort zone. She also said that with AI roles, you need to learn how it works, not just use it. Morenus added that she doesn't regret her English degree because it's now more important than ever to understand how to apply the English language to AI.

"A lot of it is more English language than it even is AI," Morenus said.

Did you pivot into an AI role? We want to hear from you. Contact the reporter via email at aaltchek@insider.com, or via secure-messaging platform Signal at aalt.19.

• Apple's outgoing CEO, Tim Cook, expanded the iPhone's size during his tenure, delighting some fans.
• The standard iPhone grew from 3.5 inches to over 6 inches, and Cook introduced larger-format models.
• Cofounder Steve Jobs initially dismissed the larger phones, calling them impractical.

Apple's outgoing CEO, Tim Cook, proved his predecessor, Steve Jobs, wrong: some people love a large iPhone.

Jobs, the cofounder and driving force behind the iPhone, once knocked smartphones larger than 4 inches. "You can't get your hand around it," he said in a 2010 press conference. "No one's going to buy that."

When Cook took the reins in 2011, he began expanding the iPhone's size. In 2012, the release of the iPhone 5 increased the phone's screen size from 3.5 inches to 4 inches. Later base models reached up to 5.8 inches before landing at around 6.3 inches in the latest iteration, the iPhone 17.

Cook also introduced larger-format iPhones, starting with the Plus series in 2014, which had a display size of 5.5 inches that year.

Cook deftly leaned into larger models as the world turned to video streaming and on-the-go viewing. Netflix, for example, shifted its business around 2011 to focus more on streaming, and YouTube was growing rapidly around that time.

In 2025, Apple introduced its largest iPhone model yet, the iPhone 17 Pro Max, which topped out at 6.9 inches.

The shift to larger sizes has been working out for Apple. Cook said in January that iPhone demand was "staggering" and "unprecedented" in the holiday quarter. Apple posted $85 billion in iPhone revenue for the period.

Early data also showed that demand for the 17 Pro Max was stronger in the first two weeks of availability than other models in the 17 lineup, according to market research firm Counterpoint Research.

Apple's larger-format phones are an example of how the tech giant prioritizes putting its own spin on technology rather than being first-to-market with an idea.

"We could have done a larger iPhone years ago," Cook told PBS News' Charlie Rose in 2014. "It's never been about just making a larger phone. It's been about making a better phone in every single way."

Thanks, Tim.

• Nvidia CEO Jensen Huang urged all workers, from farmers to electricians, to embrace AI.
• He told podcaster Lex Fridman that the technology could elevate blue-collar jobs, such as carpentry.
• Blue-collar has generally been viewed as less likely to be affected by AI disruption than white-collar jobs.

Artificial intelligence isn't only coming for office jobs — Nvidia CEO Jensen Huang says blue-collar workers should be paying attention, too.

Huang leads one of the biggest chipmakers fueling the AI revolution. He joined Lex Fridman's podcast in an episode published Monday to discuss everything from AI in space to work.

While blue-collar jobs have been considered relatively safe from AI disruption compared to tech roles like engineering, Huang said workers in every profession, including farming and electrical work, should use artificial intelligence to help future-proof their jobs.

"If I were a farmer, I would absolutely use AI. If I were a pharmacist, I would use AI," Huang said. "I want to see what it could do to elevate my job so that I could be the innovator to revolutionize this industry myself."

For example, he said coding represents a big opportunity for carpenters, and he would go "completely berserk" using AI if he were in that line of work.

"A carpenter with AI is also an architect," he said. "They've just increased the value that they could deliver to the customer. Their artistry just elevated tremendously."

Huang has said before that he is "certain 100% of everybody's jobs will be changed" by artificial intelligence, and that while he expects some jobs to be lost, many will also be created.

Many tasks, for example, will be automated, and those jobs will be highly disrupted, he said on Fridman's podcast.

But, he said, "If your job's purpose includes you … then it's vital that you go learn how to use AI to automate those tasks."

Anxiety grows alongside AI

As AI advances, so has anxiety around job security. The fears aren't unfounded. Companies have slashed thousands of jobs in the name of prioritizing new technology and automation.

Huang's solution: Become an expert in AI, no matter what your job function is.

It could be the difference between landing a job and ending up unemployed. In almost every case, Huang said he'd rather hire the candidate who's an AI expert over one who isn't.

"Every college student should graduate and be an expert in AI," Huang said.

It could help them stay ahead of the curve as AI quickly advances.

The next phase of AI is already here

Artificial general intelligence is a form of AI that elicits anxiety or excitement among the field's most advanced minds. It's the idea that AI will one day meet or surpass human intelligence. Huang said that the age of AGI is already here.

Fridman asked if AI could do Huang's job of starting, growing, and running a successful tech company worth more than $1 billion.

It's possible, Huang said.

He also said, "It's not out of the question" that chatbots like Anthropic's Claude could design an app that billions of people would use for $0.50 apiece, and then go out of business shortly after, similar to websites that went bust in the dot-com era.

Even his job running one of the most successful tech companies today isn't immune to the effects of AI, he said, encouraging everyone to jump on the technology before they're left behind.

"Go see what it can do to transform your current job, elevate yourself," Huang said.

• Marie Pabelonio, a Google editorial lead, graduated from college with an English degree in 2009.
• She highlights the value of her English degree in adapting to AI's impact in the tech industry.
• AI helps her meet deadlines and focus on the bigger picture, but a human touch is still essential.

This as-told-to essay is based on a conversation with Marie Pabelonio, a 38-year-old editorial lead at Google, based in the Bay Area. This story has been edited for length and clarity.

I've been at Google since 2019, and as a writer, I knew AI would affect my role.

Looking back on my career trajectory, it feels like nothing short of a miracle that I ended up where I am. I graduated with an English degree in 2009, right after the financial crisis, and I'm now an editorial lead in people operations at Google, where I co-lead a small team that drafts and editorializes about 4,500-plus pages of HR policies. I've used AI to automate processes, refine drafts, templatize, and meet deadlines that would be impossible otherwise.

At this point, anyone, regardless of whether they're a writer or not, has felt it: Is AI going to automate me? Is it going to eventually just replace my job? I don't think I work more or less because of AI; I just work very differently.

I was a humanities major and fell into Big Tech

The job market felt very volatile when I entered it, which I think a lot of young people entering the workforce today feel.

I didn't have a career plan. I was an English major because I loved reading and writing, and if I found a job where I could do that and build a specific skill set on top of it, I would be OK.

My first job was as a fact-checker for the publishing arm of an industrial supply company, and then I became a copywriter in the advertising and marketing space. In 2016, I moved from Chicago to the Bay Area and became an editor at Amazon's subsidiary, Goodreads. I stayed in the Bay Area and made my way to Google by 2019.

I wasn't surprised that AI changed my job right away

We've heard the word "unprecedented" so much in the last six years or so that nothing surprises me anymore, including AI.

My team works with stakeholders and policy designers to interpret and draft policies, whether they're return-to-office, hybrid work, or immigration policies. There are areas where AI is useful in our work, and the tool has helped us regain more strategic time by automating tactical parts of our process.

This includes training the AI on standard article structure, to include four sections like background, key details, process, and related resources, formatting consistencies, including where headlines, a bulleted list, or a table would be used, and five to seven non-negotiable details the user needs to know from the policy.

I think there's still a lot of room for that human touch in that process. Once I have the output, I spend my time on the more strategic pieces, like verifying tone and voice, determining whether the article actually achieves the user goal, and how it fits with the broader content strategy of other articles.

In our writing, the goal is to inject humanity and warmth as much as possible, especially when explaining human resources topics like an employee's health insurance, compensation, performance reviews, and career growth. AI can't do that by itself.

AI saved me when I had a tight deadline

Around the time we started using AI, I had a big project to update existing policies, and I was on a tight deadline. I spent a lot of time upfront strategizing about how I could use AI to accelerate my work and meet my goals.

To address the overwhelming number of first drafts, I used AI to template a structure for readability, created a checklist for tone, style, and quality, and because of that was able to focus more on streamlining stakeholder reviews to check for accuracy. I met my deadline with a few days to spare. This was when it clicked for me that AI was changing things in a huge way, when this deadline looked really impossible, and then it wasn't.

Still, there were many times I had to validate and tweak the outputs. I never felt I could use AI as my secretary and leave it alone to do whatever it wanted.

Studying the humanities gave me a particular edge in the AI job market

I think there will be more of a premium on how we think, not what we know.

When it comes to writing, it's about being able to articulate the reasons behind your choices. Why this phrase and not that? Why put this insight here and not there? There's a rationale behind your judgment.

In job interviews, the question of how you use AI at work will inevitably come up now, and your AI output is only as good as your input. Good writers can get better, but bad writers can get worse, and just because you're writing fluently doesn't mean you're writing well. Studying literature so closely helped me reflect more on questions instead of answers.

This is the time to brag about how you develop your own sound judgment and how you use that judgment in your AI inputs. As good as it is to develop hard skills, it's just as important, now more than ever, to focus on soft skills too.

Do you have a story to share about your writing job in tech or AI? Contact this reporter, Agnes Applegate, at aapplegate@businessinsider.com.

• Kanav Bhatnagar's job title, forward deployed engineer, has been described as the "hottest role in AI."
• He said his job is to be a customer-facing engineer who tailors products for clients.
• Context-switching and communication are important skills for FDEs, he said.

This as-told-to essay is based on a conversation with Kanav Bhatnagar, 24, a forward-deployed engineer at Rippling, an HR tech company, who lives and works in New York City. The following has been edited for length and clarity.

I got into software development because I wanted to build cool stuff.

Amazon hired me as a software engineer out of college, and it was a big learning opportunity, teaching me the fundamentals of engineering.

But it was a behemoth of a company, and I eventually wanted to work in a smaller environment where I could take more personal ownership over product decisions and learn more on the job.

After 2 ½ years at Amazon, I interviewed at a sales startup called Actively AI, where I landed a role in forward-deployed engineering.

The "FDE" role was popularized by Palantir, and it has been described as the "hottest role in AI." I liked that it combined software engineering with understanding business.

I spent roughly six months at Actively AI before I joined the AI-forward HR tech company Rippling as a senior FDE, in October 2025.

I've now been an FDE for roughly a year. Put simply, I'm a customer-facing engineer who tailors our product to each client. They describe their challenges and needs, and I build solutions and customizations.

Here's what my day-to-day is like, and the skills you need to break into this role.

My primary job is listening to customers. The results are very rewarding.

Software engineers can feel far removed from customers, because they often can't see their impact. In this job, I'm closer to the front lines.

A core software engineer can build something that serves the majority of use cases, but AI tools usually need more customization to work properly than regular software features. That's when an FDE steps in.

For example, a restaurant chain might have a labor-intensive process for tracking their payroll data that involves spreadsheets and manual data entry, which I'd help them to eliminate within Rippling's platform by using custom code and AI.

My primary job is listening to customers and understanding their problems, which was a learning curve for me, coming from a software engineering background. On a day-to-day basis, I'm in a lot of customer meetings, including visiting businesses who use our product to talk with employees about their experience with it. I probably spend an equal amount of time coding solutions and interacting with our core product teams.

Context-switching is an important skill to master in this job, where you could go from talking to a customer to debugging something to jumping onto another customer call shortly after.

I don't rely on an engineer to code something for me. I make a lot of decisions about the shape of the product and how to execute on it, which I really enjoy. It's very rewarding when a customer looks at what I've built after multiple iterations and says, "This is exactly what I wanted."

Technical and communication skills are equally important as an FDE

I think it would be pretty hard, although not impossible, to become an FDE without a technical background. With the dawn of vibe coding, it might become easier, though.

In my experience, FDE interviews feature technical rounds that test your coding skills, like in traditional software engineering interviews. You also have to show you can talk with any customer, including non-technical people, by asking the right questions to understand a customer's problem, and talk through how you'd design the solution.

To prepare for interviews, I have used consulting industry interview questions, which require you to explain how you'd meet client requests. I think both fields overlap, requiring rapid diagnosis, clarifying questions, and a clear plan of action.

There's probably more breadth than depth of technical knowledge required. In today's age of rapidly evolving technology, I try to spend time outside of work understanding what's new in the AI world and what new AI tools I can be using in my workflow by talking to colleagues and researching online.

I think my job is preparing me to be a founder one day

I'm interested in founding my own company one day, and I've previously heard someone describing the FDE role as a founder bootcamp. It provides a good foundational layer for entrepreneurship, helping you understand how a business functions from the sales process to how to build things.

The FDE role is evolving and no one really knows what direction it's heading in. Even if AI turns out to be unprofitable, I think FDEs will still have a place because of the demand for customer software. Products are becoming easier to build, and people in this role will be needed to handle large contracts with clients.

Palantir is an example of a company that's had FDEs since the 2010s, even before AI was mainstream.

• Nancy Hagans is an intensive care unit nurse in NYC and union president.
• She told Business Insider about how health tech has changed during her 39-year career.
• Each shift is intense, but Hagans said nursing is the most rewarding job she's ever done.

This as-told-to essay is based on a conversation with Nancy Hagans, a nurse in the intensive care unit at New York City's Maimonides Medical Center and president of the New York State Nurses Association. The union ended a 41-day strike in February, securing raises and layoff protections for staff. This conversation has been edited for length and clarity.

I wake up 5:30 a.m. each morning, say my daily prayer, have a cup of coffee, and arrive at work at least half an hour early.

I've been a registered nurse for the past 39 years, and most of my work is in the surgical intensive care unit. I start my shift by greeting the night nurses and checking on my patients, but there's rarely a routine day at the ICU — it could be quiet one minute and the next minute, everything is happening. My hospital is a trauma center, so I could walk into an emergency before I even put my coat down.

I decided to become a nurse because I'm from Haiti, and my Haitian patients were discriminated against. Going to the hospital was very hard, and I wanted to be in a situation where I could make a difference for immigrant communities.

The profession is extremely rewarding. The nurse is the first person patients see when they walk in, and the last person they see when they leave. In stressful situations, the patient depends on their nurse. I may have to walk away, wipe my eyes, and take a deep breath, but then I go back to their room and think: What is it that I could do to make this person better? How can I alleviate their anxiety?

If you're nervous, odds are the patient is nervous, and the family is nervous. I have to be the advocate for my patients. It's my job to make sure they are receiving the proper medications and are seen quickly by the doctors. Every patient is a VIP, and I treat them with the highest quality of care — regardless of their religion, background, and immigration status.

Technology has changed throughout my career, and I welcome the help. When I first became a nurse, I had to do everything myself. I calculated medication doses and hand-wrote patient reports. Computers are much faster at organizing these treatment notes, doing math, and protecting sensitive information. It's not a replacement for the human touch, but it helps us document our care more effectively and spend more time with patients.

When it comes to care, we are not going to cut corners. We're not going to stop fighting for our patients, our colleagues, our pay, and safe staffing ratios at our workplaces — because more nurses means better care. I need people to know that nurses are the front line, they're the backbone of every hospital. The medical field can't operate without us. We keep our patients alive.

I would encourage students to think about nursing as a profession. About a year-and-a-half ago, I ran into a former patient in a supermarket. Standing in the aisle, this former patient told me, "You don't remember me, but I could never forget you."

It's the most rewarding job I've ever done.

• The Federal Reserve will announce its March interest rate decision on Wednesday afternoon.
• It's likely the FOMC will hold rates steady, especially as the Iran war has sent oil markets into chaos.
• The Fed will also release its first economic projections of 2026.

It's been a tumultuous few weeks for the US economy, and the Federal Reserve is paying attention.

The central bank will announce its second interest-rate decision of 2026 on Wednesday afternoon, with CME FedWatch predicting a near-total chance of a rate hold based on market moves. The Fed cut rates three times in the second half of 2025, and has penciled in at least one rate cut for the new year. For consumers, these policy decisions affect inflation, the job market, and borrowing costs.

At the March meeting, Fed leaders will consider the dismal February job growth report, steady inflation rate up through last month, first-quarter business outlook, and the budding energy and oil crisis in Iran. This is also Jerome Powell's second-to-last meeting as chair. He's set to be replaced by ex-Wall Streeter and Trump appointee Kevin Warsh in May if Warsh is confirmed by the Senate.

Here's what you need to know ahead of the decision.

The Fed has a near-total chance of holding rates

It's likely that the Fed will take a conservative approach to monetary policy in March. Holding rates steady could help control inflation. The ongoing Iran war has raised the price of gas and oil — something that's likely to impact everything from plane tickets to grocery costs over the next several months unless the situation improves. The February consumer price index, released March 11, increased 2.4% year over year, the same rise as in January. However, this figure doesn't yet reflect the spike in energy prices, as the overwhelming majority of the data predate the start of the conflict.

The Strait of Hormuz — a major trade throughfare between the Persian Gulf and the Gulf of Oman — has been largely closed by Iran's leadership since early March. The move is cutting off about 20% of global oil production, causing market volatility. Oil prices recently surged past $100 a barrel, and while they've calmed slightly, the key commodity is still far more expensive than it was before the war.

Mark Hamrick, senior economic analyst at Bankrate, told Business Insider the oil shock "creates a real problem for consumers in the broader economy at a time when affordability challenges have already been first and foremost in terms of the major issue that voters and consumers have been railing against."

Oil isn't the only commodity choked off by the closure of the Strait — the hit to fertilizer prices could soon cause food costs to rise if the war continues.

The job market, meanwhile, is showing clear signs of weakness. The disappointing February jobs report showed that US lost 92,000 jobs that month. The unemployment rate also inched up to 4.4%. This is a contrast from January growth and the central bank's optimistic employment outlook at their last meeting.

"The January report saw a really stark reversal from the slow movement in 2025, and there was a lot of expectation that this momentum would continue and keep pace. And that was not the case for February," Nicole Bachaud, an economist at ZipRecruiter, said.

Cory Stahle, an economist at Indeed Hiring Lab, advised people to look at the broader job market trend after the US got one good January report and a bad one in February. Still, as Stahle pointed out, the US basically hasn't created jobs in the past six months.

The Fed will also release its quarterly economic projections on Wednesday, offering a window into its rate decisions for the remainder of the year. With a recent track record of policy disagreements among Fed leaders, it's possible there will be a wide range of predictions.

What the Fed's decision means for consumers

Fed decisions impact mortgage and credit card rates, auto loans, inflation, and job market churn over time. Lower rates may juice a sluggish job market, at the risk of pushing consumer prices higher. Powell and the Federal Open Market Committee will weigh which side of their dual mandate to prioritize. The bank's inflation goal is 2%.

If the Fed holds rates, Americans' finances will remain largely unchanged. Mortgage, auto, and credit rates tend to fluctuate alongside the federal funds, though it takes a pattern of decisions before interest rates change noticeably for consumers. Businesses and job seekers hoping for cheaper borrowing and a hotter labor market might have to wait until later this year.

Powell said at the last Federal Open Market Committee press conference in January that America's economy is coming into the year "on a firm footing," but "policy is not on a preset course, and we will make our decisions on a meeting-by-meeting basis."

Leadership changes are imminent

Trump has nominated Warsh, a former bank executive and central bank governor, to succeed Powell as Fed chair. Warsh has a reputation for hawkish monetary policy and for being tough on inflation, and it's unclear whether he will follow through on Trump's request for more rate cuts.

Matt Colyar, an economist at Moody's Analytics, said the inflation story will be interesting to follow.

"You got a Fed chair tapped because he got the job because of his stated intention of lowering interest rates, and now you're going to get an inflationary shock that's going to push up prices with no real clear end game in sight," Colyar said about the oil shock and spillover effects from the Iran war.

Warsh's nomination is shadowed by tensions between the central bank and the White House. Fed Governor Lisa Cook's case was heard by the Supreme Court earlier this year after Trump accused her of mortgage fraud, which her legal team denies. Powell also announced in January that the Department of Justice launched a probe — which is still ongoing — into the Fed's handling of construction at its Washington, DC, buildings.

The probe sparked major concerns about political pressure on interest rates and Fed independence. Last week, federal judge James Boasberg squashed two subpoenas from the DOJ as part of the probe.

"A mountain of evidence suggests that the Government served these subpoenas on the Board to pressure its Chair into voting for lower interest rates or resigning," Boasberg said.

Senators from across the aisle, including retiring North Carolina Republican Thom Tillis, who sits on the Senate Committee on Banking, Housing, and Urban Affairs, have signaled that they will oppose a confirmation vote for Warsh or any of Trump's Fed picks because of the DOJ probe. These confirmation hearings have not yet been scheduled, though Powell's term ends May 15.

The president hopes to see a rate cut sooner rather than later.

"Where is the Federal Reserve Chairman, Jerome 'Too Late' Powell, today?" Trump posted on March 12. "He should be dropping Interest Rates, IMMEDIATELY, not waiting for the next meeting!"

• Hiring has slowed, but firms are getting better at matching workers to jobs, according to Goldman Sachs.
• The economists found that fewer early job exits suggest both sides finding better matches.
• Tools like LinkedIn and AI may help firms avoid bad hires, reducing churn in the labor market.

Hiring has slowed sharply across many advanced economies, but companies may simply be getting better at picking the right people, according to Goldman Sachs.

That's due in part to a decline in short-term job separations: workers leaving or losing jobs soon after being hired. That decrease suggests firms and workers are increasingly finding better matches from the start, even as labor markets cool after the post-pandemic hiring surge.

"Most of the pullback in churn reflects a decline in job separations within one or two quarters after hiring, a pattern that suggests that workers and firms have gotten better at identifying 'good' matches over time," Goldman's economists wrote in a Tuesday note.

Historically, short-term separations have been common because some hires turn out to be poor matches between employers and workers. However, they have steadily fallen across developed economies over the past two decades, and the decline accelerated after the pandemic.

The trend is borne out by US Census Bureau data and Canadian labor force data.

Fewer bad hires

The decline appears broad across industries. It's explained by changes in the workforce composition, suggesting a structural shift in how workers and firms form job matches.

"In our opinion, the best explanation of the decline in short-term separations is that increased information and improved screening processes have increased both firms' and workers' ability to identify 'good' matches," wrote the Goldman economists.

Platforms such as LinkedIn, Glassdoor, and Indeed give workers insight into company culture and working conditions before they accept a role. At the same time, employers are increasingly using digital screening tools — including AI — to evaluate candidates and screen applicants.

Those tools may help reduce hiring mistakes, the economists wrote.

Better matches mean fewer early job exits — and less need for companies to hire replacements.

The shift could also make the labor market more efficient overall. With fewer failed job matches, there is less frictional unemployment — the type of joblessness that occurs when workers move between jobs.

Goldman's analysis comes amid debate about the current labor market, which some economists describe as a "low hiring, low firing" environment.

In such an environment, a further drop in hiring could push unemployment higher more quickly because displaced and younger workers have fewer opportunities.

• A version of this story originally appeared in the BI Tech Memo newsletter.
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A few Fridays ago, I was feeling smug. I'd just sent another Tech Memo edition telling subscribers to stop worrying about AI eating tech jobs because Anthropic, the leading AI company pushing this narrative, is hiring so many engineers.

So clever! Until I got an email from a reader, Kiran Maya Sheikh. She has a computer science degree from the University of California, Irvine. It's a great school, and she graduated with an impressive GPA. And yet, she's struggling to land that all-important first full-time software engineering job.

"It's bad advice to 'not worry,'" she wrote. "AI is causing disruption in this job market. Employers are prioritizing hiring experienced workers, but not new graduates."

This week, I interviewed Kiran for Tech Memo. It was an eye-opening view into the realities of the new AI economy. Here are the highlights from our chat, edited for clarity and length.

Alistair: What did you think you were signing up for when you first chose computer science as a degree?

Kiran: After getting into UC Irvine in 2020, I took my first coding class and I really enjoyed it. The prospects at this time were that people were going into this major to get great jobs and it was very rewarding and I ended up liking the work.

What did you believe a career in computer science would give you financially, socially, and emotionally?

The dream at the time was definitely everyone was saying, "Let's go work for Google and the FAANG companies and get a six-figure salary." My motivation was just getting a stable job, getting enough money to take care of my family — what everyone wants. I expected that computer science would put me in a position to grow as a software engineer, first and foremost, and then maybe take me to more of the strategic side, the management side. The main thing that I did figure out was that I wanted financial stability and maybe financial independence as well.

Fast forward to late 2022, when ChatGPT launched. Did you see that as a tool at the time or a threat?

I was a hater at the beginning. Then, friends of mine started using ChatGPT and they're like, "Oh, you can just use it like Google. You can just text it and it'll give you the answer." And honestly, my first thought was like, "That's a bit lazy. You can get more learning out of doing the work yourself." But the more time went on, the more that people were using it, and they started using it for class. Suddenly, I was ahead in class. I was doing the assignments well and understanding more.

Was there a moment when you thought generative AI might reduce the need for junior engineers, or do you even believe that?

We all know the current job market. It's not too hot and a lot of companies are citing AI as part of the reason for layoffs — but maybe that they were going to cut those jobs anyway. At the time though, while I was in school and using ChatGPT, I honestly didn't think it would get this far. I expected AI would be integrated into software engineers' work and companies would start integrating it, but I didn't realize there would be potential for it to take over jobs that I was looking for.

I don't think I was very attentive to the job market situation at the time, and I wasn't really thinking that far ahead. More of my worries at the time were just getting that first entry-level position. And I just thought it would be simple: I just get my degree and I would find a company that's hiring. Looking back, it was my mistake to not really research the current job market and maybe what some people were predicting about AI.

I didn't see it coming either. Few people did. Anyway, describe the moment when you realized the job market had changed?

I was already graduating, so this was after June 2025. I was getting into the reality of having to find my first job, and that's when I definitely started noticing something was wrong. A lot of my classmates, I haven't really heard of them getting any opportunities. Everyone's submitting so many resumes and there's a race to use AI to enhance resumes and send them out as fast as you can. And it seemed a lot more intense than I was prepared for.

A lot of my classmates and even students I know who are still in school are not even landing internships right now. It's not looking great. It's a very tough battle right now. So many people are quitting or getting fired or pivoting and there's new grads. Everyone is bracing, and it's a bloodbath right now.

Do you feel like you're competing against AI or laid-off senior engineers or both, or something else?

My fight is definitely with AI and all the competition with entry-level graduates — especially because AI is known to take over more junior roles. So it's important that we stay more relevant and offer something that AI can't. Scrolling through LinkedIn and on my job portals, I see more offers for mid-level positions, but I don't see as many for entry-level roles. So it's like I'm fighting AI and all these other graduates for roles that don't exist yet.

This job search so far, what has it done to your confidence?

I try to be optimistic. I am lucky to have a better situation than some other people do. I'm living at home with family, so I don't have to worry as much about expenses. Still, if I weren't doing anything about my situation, I would feel pretty bummed. I'd feel kind of trapped.

But I've been trying to work on building my network, finding people I know and learning from other people, just finding communities to be involved with. That's really helped my confidence because I find professionals that are trying to help — they are aware of the job market and they know how hard it is to get that first job. The one saving grace in this tough situation is definitely the community I've found and the people I know who are helping me through it.

Did you ever question your decision to study computer science?

Yes, I did question it. But I remember that I do like computer science and I did like what I learned. I really enjoyed my classes and programming. And instead of turning to a new discipline, I think I prefer to just specialize and find out new information and stay ahead of the news. And like I said, offer something that AI can't.

Do you feel like you were trained for a version of the tech industry that no longer exists?

I am a little salty, about this, if that's the right word. During my time at school, a lot of what the degree was about was learning the basics of software engineering. You learn programming languages and you learn how to set up your development and deployment. But right now there are so many more tools and I think that's the constant thing with the software engineering and the tech industry. There's always new technology and there's a lot of learning you have to keep up with.

But with AI in particular, I felt like I graduated a bit too early. Because now AI will probably be more integrated into learning. I had so many professors that were more welcoming towards AI. I remember a really cool professor who shared a website that would let you make your own LLM. And it's really useful stuff, but it wasn't part of the curriculum. It will be now, but I won't be there to see that change.

What I'm doing to help with that, and make the amends, is volunteering and doing more work on the side that involves newer technologies to just stay fresh and relevant and use all these new AI tools and see how I can leverage it.

If a high school senior asked you today whether they should major in computer science, what would you tell them?

It depends on what interests them about computer science. If it's absolutely something they're interested, they love learning about the technology and they want to code, I would still say go for it, but I would recommend how to position yourself for after college.

You need to start much earlier now, networking and knowing how to speak with people and how to apply, how to write a resume. And those all are also much more important now at the start of college, especially getting internships, if at all possible.

So, I would definitely recommend studying computer science, but being realistic about the opportunities available and keeping up with the news and the job market.

What would you say to potential employers out there?

The focus should still be in hiring entry-level talent if possible. I know it's tough with the current market and the economy and what's going on in the world right now. But entry-level talent is still important because you need to build this generation of professionals so that the future will have people to rely on. AI is still uncertain right now. People are still figuring out how it is impactful and it doesn't help to just force it upon your company.

Sign up for BI's Tech Memo newsletter here. Reach out to me via email at abarr@businessinsider.com.