Your group chat is probably already buzzing about the Fed today. Not because anyone thinks it'll cut rates, it won't, but because for once, "hold" might not be the boring outcome everyone expects.

At 2pm ET, the Federal Reserve decides whether to hold rates steady for a fifth straight meeting, and tonight, Microsoft and Meta report earnings that will show how much they're still willing to spend on AI. Those two numbers are more connected than they look.

The AI spending boom isn't running purely on cash anymore, and interest rates are quietly becoming a jobs story for anyone in construction, energy, or chips. We're getting into exactly how below, and it's not the take you've seen elsewhere this week.

Let's get into it.

Some of this year's "AI layoffs" might not really be about AI. Analysts are flagging a pattern nicknamed AI-washing: companies blaming artificial intelligence for cuts that look more like garden-variety overhiring corrections from 2021 and 2022. Tech layoffs have hit 322 events and over 205,000 workers in 2026, with 78% citing AI, but sorting the real automation stories from the convenient excuses is getting harder, not easier.

Venture capital just had its biggest half-year ever. Global startup funding hit $510 billion in the first six months of 2026, more than all of 2025 combined, and AI startups are soaking up 86 cents of every dollar invested. If you're job hunting, funded companies are where the actual hiring budgets are sitting this year.

Two economists who spent years telling everyone to relax about AI and jobs just did a public about-face. Over 200 economists and researchers, including some previously skeptical, signed a July letter warning that AI's economic shift could be "larger than the Industrial Revolution" and arrive far faster. When the skeptics flip, it's worth asking why.

Job postings mentioning "agentic AI" are up 587% year over year, and postings for "AI agents" specifically are up 503%, per Dice's tech hiring report. Three-quarters of all US tech postings now require at least one AI skill, up from 15% back in January 2024. If your resume doesn't have an answer for that yet, tonight's Try This is basically built for you.

Anthropic has quietly lined up bankers for a Nasdaq listing that could land as soon as October, at a valuation reportedly near $965 billion. It would join a growing 2026 class of AI IPOs, including Cerebras's $34 billion debut and SpaceX's record $75 billion raise, that's turning "AI exposure" into an actual tradable category.

Funding

Contracts

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At 2pm ET today, the Federal Reserve decides whether to hold interest rates at 3.50% to 3.75% for a fifth straight meeting, or raise them instead. Markets are pricing roughly two-to-one odds on a hold, but oil above $100 a barrel and a handful of outspokenly hawkish Fed officials have made a hike a real possibility this time.

Normally, that's a mortgage-and-credit-card story. This time, it's also an AI story, because Big Tech is on track to spend roughly $725 billion combined on AI infrastructure this year, and a growing share of that is financed with borrowed money instead of cash on hand.

Meta alone has guided to $125 billion to $145 billion in capital spending for the year, while its own headcount is smaller than it was two years ago. When building the AI boom gets more expensive to finance, the jobs riding on that buildout (construction crews, power infrastructure, chip manufacturing, data center operations) are the first ones exposed.

That's what makes tonight's Microsoft and Meta earnings calls, and tomorrow's Apple and Amazon reports, more than routine. Investors will be listening for whether capex guidance holds steady or gets trimmed, which is really a question about whether the AI hiring boom in those specific industries keeps its financing.

Why it matters: The Fed used to move the economy mostly through consumers: mortgages, car loans, credit cards. Now it also moves the economy through a few hundred billion dollars in AI infrastructure spending that didn't exist three years ago.

Watch capex guidance on this week's earnings calls, not just the Fed's statement, for the real signal. If you work anywhere near AI infrastructure (construction, energy, chips, data centers, or the recruiters staffing them), this week's numbers are a sharper leading indicator than any jobs report you'll see this quarter.

Senior-level job postings are up 14.7% year over year, while entry-level postings are down 7.5% and mid-level postings are down 6.7%, per Indeed Hiring Lab. Software development shows the sharpest version of this: senior roles now make up 69.3% of all developer postings, a huge jump from a few years ago.

A separate Stanford analysis of ADP payroll records tells the same story from another angle. Developer employment data shows workers aged 22 to 25 down nearly 20% since late 2022, while workers 35 and older, often at the very same companies, grew 6% to 12% over that span.

Put together, both data sets point at the same underlying shift, not two unrelated trends. Companies are paying up to keep senior judgment in-house, while software and cheaper contractors absorb the work that used to train the next generation of seniors.

Why it matters: The old career path assumed companies needed a training pipeline: get hired junior, prove yourself, get promoted to senior over years. Increasingly, they don't need that pipeline, they need senior judgment on demand and lean on AI to cover the rest.

If you're early-career, the fastest way to compete right now is to demonstrate senior-level judgment before you have the title, not wait for tenure to hand it to you. If you're managing a team, the shortage of trained-up mid-level talent in three years is a problem you're creating today by not investing in anyone below senior.

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With senior roles now the fastest-growing, safest slice of the job market (see Making Moves above), most job seekers just need their resume to read like someone who leads work, not someone who just does it. Here's a prompt to check that, copy it straight into Claude or ChatGPT:

"Here's my resume or LinkedIn summary: [paste it]. Here's a job description I'm targeting: [paste it]. Identify every bullet point that describes execution ('I built,' 'I supported,' 'I helped') rather than ownership ('I led,' 'I designed,' 'I decided'). For the three weakest bullets, rewrite them to honestly reflect any ownership, judgment, or strategic decisions I actually made, even in a supporting role. Don't invent anything I didn't do."

Run it before you apply anywhere this week, not after you're already sitting in a rejection pile.

Two of this week's biggest questions resolve before our next issue: the Fed's 2pm ET decision today, and Meta and Microsoft's earnings tonight. We'll bring you both results Friday.

For now, predict this: the Q2 2026 GDP advance estimate drops tomorrow morning, July 30 at 8:30am ET. Prediction markets currently give it only a roughly 1-in-5 chance of landing at 3.0% or higher.

Cast your vote: Below 2.0% / 2.0% to 2.9% / 3.0% or above.