If you work anywhere near a law firm, you've probably heard the joke that AI is coming for the associates. This week, one AI company's Manhattan real estate bet told a much bigger story about how AI companies are actually building their workforces.

It's not the only AI company making a move like this, and the numbers behind it are bigger than one company's press release. Zoom out and it looks like proof that the same industry can be cutting junior jobs and creating hundreds of new ones at the same time.

Meanwhile, the economy handed us its own puzzle this week, a GDP report that looks weak on the surface and stronger underneath, plus a Fed that's still not ready to cut rates.

Below: what Legora's story says about AI companies and the new workforce, what the GDP-Fed combo means for your next raise, and where the rest of this week's hiring and funding money is moving.

Let's get into it.

The GDP headline undersells how strong parts of the economy actually are. The economy grew 1.5% annualized last quarter, down from 2.1% and below expectations, but strip out the trade deficit (mostly AI data-center imports) and underlying demand grew 3.9%, the strongest pace since late 2023. The Fed held rates at 3.50%-3.75% on Wednesday anyway, since core inflation has sat above 3.3% for four straight months. Translation: growth is real but concentrated in AI infrastructure, and cheaper borrowing (or a bigger raise) isn't coming before fall.

AI use might be the difference between keeping your job and losing it. A Gallup survey of 23,000+ workers found 62% of people who'd been laid off were AI non-users, compared to 50% of people still employed. Tech workers who rarely touch AI face an 18% layoff rate versus 6% for regular users, a gap that holds even after controlling for age and industry. Almost nobody in the survey blamed AI for their own layoff. The data suggests otherwise.

Monday.com is cutting 20% of its staff while raising its profit forecast. The company filed notice it's cutting about 620 jobs, taking $45-55 million in charges, at the same time it's raising full-year operating margin guidance from 13% to 15%. Leadership says this is a go-to-market restructuring, not an AI-replacement story. Believe that framing or don't, but the math (fewer people, higher margin, same growth targets) is becoming a familiar shape this year.

A sandwich chain just went public at a $7.3 billion valuation. Jersey Mike's debuted on the NYSE Thursday, the biggest restaurant IPO since Krispy Kreme in 2021, even though shares slid almost 9% on their first day. Founder Peter Cancro started working at the original shop at 14 years old in 1971. Not every growth story this week involves a data center.

The usual off-ramp for burned-out consultants is a lot narrower right now. The national quits rate sits at 1.9%, near a decade low, meaning the PE firms and corporate strategy teams that used to absorb ex-consultants within weeks have also slowed their hiring. That's landing at the same moment McKinsey, Accenture, Deloitte, and KPMG are cutting mid-level roles by the thousands, even as some of them keep expanding entry-level hiring. If you've been planning your exit for "whenever the market's better," that window hasn't fully opened yet.

The wage premium for AI skills just hit 62%, and it's not a tech-only story anymore. PwC's Global AI Jobs Barometer found the premium has climbed from 25% in 2024, with AI-skill job postings growing 144% year over year, nearly eight times the overall market's pace. More than half of AI-related postings are now outside traditional IT roles entirely. Wherever you work, "worked with AI tools" is turning into a line item that pays.

Funding

Contracts

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AI companies keep landing on the same paradox: the technology cutting some jobs is creating brand new ones just as fast, often in the same industry. Legora, an AI startup that builds tools for law firms, just put hard numbers behind it, signing a 10-year lease for the entire 11th floor of SL Green's 11 Madison Avenue in Manhattan, 98,420 square feet in one of the city's most prominent towers.

New York Governor Kathy Hochul's office says the expansion comes with 550+ new jobs over the next few years, backed by up to $10.5 million in state tax credits. It's not the only AI company making this bet on new headcount either, Anthropic just leased an entire building in Hudson Square, roughly 500,000 square feet, on its way to nearly doubling its New York headcount toward 1,000 people this year.

The money behind this was already flowing before the lease. Legora's valuation tripled to $5.6 billion this spring, and rival Harvey hit $11 billion the same month.

Legora isn't just leasing space and hiring, it's also buying its way to scale. On Wednesday it announced its fifth acquisition this year, picking up London-based litigation-data startup Wexler.

None of this makes the new AI workforce a straightforward win for everyone, though. Big Law's summer-associate classes at the largest firms are the smallest they've been since 2012, and firms including Clifford Chance have already cut jobs while pointing to AI-driven efficiency, according to Axios reporting from earlier this year.

Why it matters: This is what the AI-and-jobs story actually looks like up close, growth and disruption happening inside the same company, sometimes in the same week. Legora is hiring hundreds of people in New York while its own AI tools quietly shrink how much junior legal work firms still need done. Watch whether its 550+ jobs land in engineering and legal-engineering roles, genuinely new categories, versus relabeled traditional legal-support work, because that ratio is the real answer to what kind of workforce AI companies are actually building. If you work in or around law, the safer bet this year is becoming the person who can run the AI tool rather than defending the workflow it's replacing.

Software development postings are up roughly 15% since Claude Code's launch in February 2025, even as overall postings fell 7% over the same stretch. That's a real reversal for the occupations that saw the steepest declines when AI first arrived.

Here's the catch. Indeed found 71% of that increase came from senior roles, and 37% came from postings that explicitly mention AI in the title.

This isn't a comeback for entry-level developers. It's demand concentrating around people experienced enough to direct AI tools rather than compete with them, which lines up with what entry-level hiring data has shown all year.

Why it matters: If you're a mid-career professional wondering whether to invest in AI fluency, this is your answer, the jobs are coming back for people who can already do the job well and direct an AI tool on top of it. If you manage a team, treat this as a hiring roadmap: pairing experienced people with AI tools is winning out over hiring more junior headcount right now.

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This week's data says the jobs are going to AI-fluent, experienced people, not entry-level ones. So here's a prompt to help you surface AI-adjacent work you've probably already done but haven't been calling out.

The AI-Fluency Resume Audit. Paste your resume and a target job description into Claude or ChatGPT with this prompt:

This works because most people undersell the AI-adjacent parts of jobs they already had. You weren't "using ChatGPT to draft emails faster," you were piloting a new tool to cut turnaround time. Same work, very different resume.

The July jobs report drops next Friday, August 7. June's number was an ugly miss, just 57,000 jobs added versus roughly double that expected. Will July beat, meet, or miss the ~130,000 consensus forecast?

A) Beats expectations (130,000+), the "low-hire, low-fire" market is finally stabilizing

B) Misses again (under 100,000), the slowdown is real and deepening

C) Lands right in the consensus range (100,000-130,000), steady as she goes

Reply and let us know your pick. We'll cover the actual number, and how you called it, in our next issue after the report drops.