r/LayoffHedge

Pulled DOL LCA data (FY2015 through FY2026 Q1) to see which county files the most H-1B applications in each state. Silicon Valley isn’t just winning, it’s lapping the field.

And the disparity between top states and bottom states shows just how concentrated skilled-labor sourcing really is in America. This is basically a heat map of corporate hiring pipelines, county by county.

The numbers:
Top 5 counties overall (by LCA filings):

Santa Clara, CA — 513,533

New York, NY — 382,578

King, WA — 317,292

Dallas, TX — 241,764

Cook, IL — 191,648

Biggest gap: Santa Clara’s #1 county total is roughly 1.3x New York’s, and nearly 1,000x Albany, WY’s (523).
Notable outliers: Fairfax, VA tops out at 83,936, while states like West Virginia (Monongalia, 1,553) and Wyoming barely register.

Full 50-state breakdown in the graphic. Sources and raw filings at layoffhedge.com/h1b.

Wednesday: Meta jumped 8.8%, its best day in six months, after Bloomberg reported "Meta Compute," a plan to rent out spare AI capacity and its models. Wall Street loved it for exactly one day.

Thursday: down 5%. Here is what changed overnight.

Wolfe Research ran the numbers. A real cloud business pushes Meta's 2027 capex to $200 billion, up from prior estimates of $160 billion, and probably forces a capital raise. Margins fall before any cloud revenue shows up.

SoftBank crashed the party. One day after Meta's news, it announced SB Neo, a US venture renting out AI chips and data center capacity, targeting 10 gigawatts by 2030. OpenAI is rumored as an early customer. The compute rental trade got crowded in 48 hours.

Analyst Richard Windsor flagged the obvious problem: Meta has no spare compute to sell. CoreWeave and Nebius supply Meta today because Meta does not have enough. Renting capacity out means slowing its own AI work.

Collateral damage: CoreWeave fell 14% Wednesday and kept sliding Thursday, over $7.5 billion in market cap gone. Nebius dropped 17%. CoreWeave's junk bonds are selling off. Chip names like Micron got dragged down too.

$200 billion in capex and a possible capital raise on deck. Spending pressure like that is how hiring freezes and new layoff rounds start.

Sen. Chris Murphy introduced the Living Wage For All Act today. It would raise the federal minimum wage to $25/hour, more than triple the current $7.25 floor that’s been frozen since 2009.

Realistically, this bill is not passing anytime soon. But it’s a useful thought experiment. Let’s run the numbers on what actually happens if it did. The scale of this is hard to overstate

This isn’t a tweak. It’s the largest minimum wage increase in US history, by a wide margin. About 45% of the US workforce, roughly 66 million workers, currently earns less than $25/hour according to EPI. There’s no real historical precedent to model this against. Every past minimum wage study (Seattle, NYC, Card-Krueger, Neumark-Wascher, all of it) looked at much smaller jumps, usually well under doubling the wage floor.

Small businesses get squeezed hardest
Thin margins mean labor costs eat a bigger share of revenue. The likely playbook: cut hours, slow hiring, automate faster, or get bought out by bigger competitors who can absorb the hit. Restaurants, retail, and other high-labor/low-margin businesses feel this first and worst.

The bill tries to soften this with a two-track phase-in. Large employers hit $25 by roughly 2031-32. Small employers get until 2038-39. That sounds reasonable on paper, but it also means a multi-year stretch where big companies compete on a higher cost base while smaller rivals undercut them on labor. Could go either way for who actually wins market share.

Large companies are better positioned, but not immune
More capital, more automation infrastructure, more room to absorb cost into thin per-unit margins. Some big employers (Amazon, for example) already pay close to $25 in many states. The real bind shows up where companies have been using cheap regional labor as a deliberate cost strategy, mostly the South and Midwest.

This also accelerates the trend LayoffHedge tracks constantly: layoffs financing automation, not layoffs from AI replacing jobs directly, but capital reallocation toward machines that no longer compete with a $25/hour human.

Two competing theories, both with real evidence behind them:

• Monopsony theory: employers in concentrated labor markets have wage-setting power and underpay workers below their actual value. A floor increase here can boost employment, not hurt it.

• Standard competitive theory: a wage floor set above market-clearing levels prices out the lowest-skill workers, causing job loss.

At a jump this large, hitting nearly half the workforce, most economists across the spectrum would expect to move past the “ambiguous, small effect” zone seen in $15 studies into “meaningfully significant disemployment for some segment” territory. The CBO’s modeling on $15 federal proposals projected job losses in the hundreds of thousands to low millions. A jump to $25 doesn’t scale linearly from that since it touches a much bigger chunk of the labor market.

Wages above the floor also move
This is the part people miss. When the floor jumps, employers usually don’t just raise the bottom and leave everyone else flat. Wage compression and spillover effects kick in. Research suggests pay adjustments often ripple up to workers earning ~150% of the new minimum, to preserve some gap between entry-level and experienced pay. That could mean wage increases touching well over half the workforce, not just the 45% technically below $25 today.

Prices: this is where it gets real for consumers
Labor cost pass-through to prices is one of the most consistent findings in minimum wage research, especially in labor-intensive consumer services. Past studies found price increases in the 1-3% range for every 10% minimum wage hike in dining specifically. Scale that logic toward a 244% wage increase and sectors like fast food, retail, childcare, and home health care, where labor is the dominant cost and automation isn’t easy, could see real, possibly double-digit, price increases. Overall CPI impact would likely be smaller since labor isn’t the dominant cost everywhere, but in labor-heavy service categories, expect it to show up on receipts.

The honest takeaway: TLDR
Supporters have a real argument: monopsony correction, demand-side stimulus from more spending power at the bottom, ending subminimum wages for tipped and disabled workers. Critics have a real argument too: job loss concentrated in low-margin small business, meaningful price inflation in labor-intensive services, and a policy with zero historical precedent at this scale to actually model against.

Nobody fully knows what happens at $25. That’s not spin, that’s just the honest state of the research. Worth sitting with before picking a side.

That graphic says it plainly: AI is 45% of the S&P 500, up from roughly a quarter when ChatGPT launched in late 2022. Eight names alone account for nearly 36 points of that, and there are 30+ more AI-adjacent names layered on top.

Here’s the part most people miss. If you have a 401(k), a Roth IRA, or just a boring target-date fund, you didn’t choose to bet on AI. The index did it for you. “Diversification” in 2026 increasingly means owning the same handful of chip and hyperscaler stocks eight different ways.

Today is the receipt.

The AI/chip trade is in its second straight day of getting hammered. The Nasdaq Composite shed 580 points, or 2.2%, marking a second straight day of losses after a 1.3% decline on Monday. A global selloff in chipmaker shares dragged US indexes sharply lower amid doubts about the sustainability of the AI-fueled tech rally.

The damage is concentrated exactly where the index concentration is:

Nvidia tumbled 3.2%
Micron sank 11.4%
Taiwan Semiconductor fell 5.2%

Alphabet was down nearly 2% on Tuesday after its worst day in more than a year on Monday, when concerns over losing AI talent to rivals sent the stock down about 5%.
The drop has put names like Meta and Microsoft into bear market territory, down at least 20% from recent peaks.

South Korean chipmakers got hit even harder overnight, dragging the Kospi down sharply, which shows how global and interconnected this “AI trade” really is

The same AI buildout companies are citing to justify layoffs is the buildout that just wiped out two days of gains across the entire market, not just tech bros’ RSUs. When Alphabet or Microsoft “right-size” headcount in the name of AI efficiency, their stock is also the thing propping up your index fund. The hedge isn’t really diversification anymore. It’s all one trade, both on the way up and on the way down.