u/Leightoncy33

Quick numbers first, then what they actually mean:
Trade deficit: $83B in April → $105.8B in May. That’s a 27% jump in one month, biggest gap in over a year.
We exported less: down $11.8B, mostly energy and industrial stuff.

We imported way more: up $10.9B, hitting a 14-month high.

Here’s the part that matters for us: what drove the import spike wasn’t TVs or sneakers. It was computers, semiconductors, and telecom equipment. Basically, the guts of data centers.

Why you should care:
Companies keep telling their workers and shareholders the same story: “we’re cutting jobs so we can invest more in AI.” Turns out a big chunk of that “investment” is just money leaving the country to buy foreign-made chips and servers. It’s not building American factories or American jobs. It’s showing up as an import line item.

So picture this: a company lays off 500 people, says it’s “reallocating to AI infrastructure,” and that infrastructure spend partly shows up here, as a wider trade gap, not as new domestic hiring. The money goes out, the hardware comes in, and the workers don’t come back.

The export drop is a separate thing (weaker energy shipments abroad), but combined with the import surge it paints the same picture: cash flowing out, hardware flowing in, and not a lot of that showing up as jobs at home.

One thing to watch: data center orders can be lumpy, so this could be a one-month spike rather than a trend. We’ll get a fuller read when services trade data drops July 7. Worth checking back on this.

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.

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.

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.

We track the layoffs.

Now we’re helping you land the next role.

LayoffHedge has partnered with Wekruit, a job marketplace built for people actually affected by what we cover here.

If your role got cut, automated, or shipped offshore, check the board. See if there is a fit for you!

Skip the application process, make an account, interview today and land that next job!

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https://layoffhedge.com/jobs/

Drop a comment if you land something through it. We are rooting for you!

Every time we post about Cognizant, the comments fill up with people sharing how bad their experience was working there. We’ve seen enough of those responses to know there’s a bigger story worth telling.

So today we’re opening the floor.

If you’ve worked for Cognizant, we want your story.

Please include:

• The time frame you worked there (month/year start to month/year end)

• Your experience – what happened, what you witnessed, what you want people to know

We take every submission seriously. If the responses warrant it, we will find a way to surface this beyond the thread – whether that’s an investigative piece, a data breakdown, or a public-facing report.

Your story matters. Thank you in advance.

Governor Kim Reynolds just terminated 200 Iowa state IT workers. Their jobs are going to Cognizant Government Solutions. The workers are being told they can “apply” for positions at the company that just replaced them.

Let’s talk about who Cognizant is.

They are the #2 H-1B employer in America by USCIS approvals, with 2,837 foreign worker petitions approved in FY2024 alone and over 122,000 cumulative H-1B hires. They are not a traditional tech company. They are an H-1B staffing operation that contracts out largely Indian nationals to corporations and, now, state governments.

In October 2024, a federal jury found Cognizant intentionally discriminated against its non-Indian employees, terminating Americans and replacing them with “visa-ready” workers imported from India. Punitive damages were awarded. In 2019, two of their top executives were criminally charged with foreign bribery. Cognizant paid $25 million to settle.

Here is the part that should make every American worker furious: Cognizant has been cutting thousands of its own employees in 2026 under “Project Leap,” citing AI-driven workforce reductions. They are slashing their own staff while being handed 200 stable government jobs that came with Iowa state pension benefits.

Reynolds claims this saves $525 million over a decade. The actual contract price was never disclosed.

This is what the quiet outsourcing of American public sector jobs looks like. No factory closure headlines. No WARN Act fanfare. Just 200 Iowans handed an application form for the company that took their jobs.

Our data just made it to national television. Here’s what that means for this community.

A few days ago, we published a graphic and it was used by Fox News as the foundation for a story on fraudulent degrees being manufactured to game the H-1B visa system.

We want to be clear about something. That was not the story we were telling. We were presenting raw data. Numbers. Facts. What journalists, producers, and the public do with that data is entirely up to them.

And that is exactly the point.

LayoffHedge has never been about pushing a narrative. We do not cherry-pick outcomes. We pull from BLS, JOLTS, USCIS, DOL labor condition applications, WARN Act filings, and primary government sources. We publish what the data says. We let you decide what it means.

The reality is that the data we cover is emotional by nature. Layoffs are not abstractions. Visa displacement, AI-driven workforce reduction, silent layoffs structured to dodge federal reporting thresholds – these are people’s livelihoods. When you present that data honestly, some people will be angry. Some will be relieved that someone is finally saying it out loud. Some will weaponize it for agendas we do not share. We cannot control any of that. We just keep publishing.

What we can say is this: the fact that a national news outlet found our work credible enough to build a segment around tells us we are doing something right. Not because we want the spotlight. Because it means the data is reaching people who would otherwise never see it.

We are not slowing down.

The labor market is in the middle of a structural shift that most mainstream coverage refuses to name directly. AI is not coming for jobs. It is already here. The numbers prove it every single month. Our job is to keep tracking it, publishing it, and making sure it is impossible to ignore.

If you believe data should be free, accessible, and unfiltered – this community is yours. If you want to be part of something bigger than a subreddit, look into $LAYOFF. It is not just a token. It is a working-class hedge against the automation wave that the people in charge would rather you not think too hard about.

We are proud of this moment. We are more focused on what comes next.

Small business hiring intentions just hit their lowest level since May 2020, the month the economy effectively shut down. The difference is there’s no pandemic to blame this time.

A net 9% of small firms plan to add jobs over the next three months, and unfilled openings have fallen to a 6-year low. Businesses aren’t just slowing hiring, they’re quietly pulling back demand for labor altogether. What makes this harder to ignore is that reported labor costs simultaneously hit the highest reading in the survey’s history, which tells you margins are getting squeezed from both ends.

That combination doesn’t resolve itself quietly. When small businesses start pulling back in an environment with no obvious external shock, history tells us that tends to show up in the broader labor market a few months later. This is worth watching closely.

The U.S. holds 52.4M migrants, 17.2% of the entire global migrant stock of 304M. Recent data shows roughly 9 in 10 net new jobs are going to foreign-born workers right now. At that point you have to ask who the recovery is actually being built for, because it’s not an abstract debate anymore, it’s showing up in the numbers.

The rest of the list gets more interesting when you size-adjust. Germany has 16.8M migrants in a country of 84M (~20%), the UK has 11.8M across 67M people (~17%), and Canada sits at 8.8M out of just 40M (22%)total population.

These are countries already in active political fights over immigration and labor competition, and they’re absorbing a fraction of what the U.S. takes in.

The UAE is the outlier at the extreme end, 8.2M migrants in a population of roughly 10M, meaning nearly 9 in 10 residents weren’t born there. Every country on this list is dealing with some version of the same tension.

The U.S. just has the most people, the most migrants, and somehow the conversation here is still treated like it’s controversial to bring up.

The 60 days of notice is up, and the first of the 30,000 are hitting the door. All will be out by June 15.

As per Time Magazine, one long-tenured employee lost approximately $1 million in restricted stock units (RSUs) that were just four months from vesting.

Oracle did not accelerate unvested RSUs for any departing worker; any shares that had not cleared their vesting date by the termination date were forfeited permanently, even when those grants had been issued as retention incentives or in lieu of salary increases. Stock compensation made up roughly 70% of that employee's total pay.

At least 90 laid-off employees organized and signed a public petition asking Oracle to match the terms of comparable layoffs at Meta, Microsoft, and Cloudflare.

Meta's package began at 16 weeks of base pay plus two weeks per year of service. Microsoft's voluntary retirement program, offered to eligible long-tenured employees, provided stock vesting for six months post-termination, a minimum of eight weeks' pay, and additional weeks based on seniority. Cloudflare, which cut more than 1,100 employees globally at roughly the same time, offered base pay through the end of 2026 plus full healthcare coverage and equity vesting through August 15.

Oracle responded by email: the terms were final. Four weeks of base pay for the first year of service, plus one additional week per year of tenure, capped at 26 weeks. All unvested options forfeited.

The foreign-born share of the population hit nearly 16%. Compare that to under 5% in 1970.

WHY IT MATTERS. Since early 2020, nearly 9 in 10 of America's net new jobs went to foreign-born workers. Native-born workers captured almost none of the growth.

Here is how the country got here.

THE 1890s PEAK. There were almost no federal immigration limits, and a booming industrial economy pulled millions out of Europe. The foreign-born share reached 14.8% in 1890.

THE 1970 LOW. The 1924 quota laws slammed the door. The Depression and the war kept it shut. For four decades almost no one came, and the share fell to 4.7% by 1970, the lowest on record.

TODAY. The 1965 Immigration Act reopened the gates, and the share has climbed every decade since. The legal pipeline adds about 1 million green cards and 85,000 new H-1B workers a year (capped) and up to 60,000 more (uncapped from universities, non-profits, etc.)... plus 1.5 million foreign students who can roll straight into U.S. jobs through OPT. Most of these renew indefinitely, as shown by the 94% approval rate of H-1B renewals and transfers. The 2021 to 2024 border surge then pushed the total to a record 53.3 million.

Where do we go from here?

The Trump administration’s policies have begun to make progress. Net international migration has plummeted (due to illegal policies, mostly), and the foreign-born share has declined from its January 2025 record high of 15.8%, the first sustained drop in decades. That said, the absolute number of foreign-born residents remains near historic highs, and legal high-skilled pipelines (H-1B, OPT, green cards) continue, albeit with new restrictions and higher hurdles.

It feels like we are at an inflection point.

She is also asking you to report them. Over 3,000 submissions so far.

These centers are sold to towns as job machines. Will the temporary boom in construction jobs be worth the impact they have?

Data centers promise a lot to local governments: jobs, tax revenue, a piece of the digital economy. But residents often end up bearing the real costs.

These facilities gulp millions of gallons of water daily and put serious pressure on local power grids, sometimes driving up electricity bills for people who never asked for a server farm next door.

The jobs created rarely match the hype; most large facilities run on skeleton crews once construction wraps up. And day-to-day, neighbors deal with the hum of industrial cooling systems, diesel fumes from backup generators, and a creeping sense that their town’s character is being traded away for infrastructure they’ll never directly use.

Let’s talk about the most convenient pivot in Silicon Valley history.

For the past two years, the guys selling you the AI future were also the ones warning you it would destroy your career. Sam Altman said AI would “probably replace most of the jobs people do today” and that entire job categories would be “totally, totally gone.” Dario Amodei said up to half of all entry-level white-collar jobs would dissolve within five years, with unemployment potentially hitting 10–20%. “We, as the producers of this technology, have a duty and an obligation to be honest about what is coming,” he told Axios.

Now? They’ve changed their tune entirely.

Altman told an Australian bank CEO he was “pretty wrong” about AI’s economic impact and that he’s “delighted to be wrong about this.” Amodei, who once said half of white-collar jobs were at risk, now frames it as a productivity multiplier: “if you automate 90% of the job, then everyone does the 10% of the job,” which somehow scales back to 100% and boosts output tenfold.

That’s not a correction. That’s a magic trick.

Oh, and both companies are preparing trillion-dollar IPOs. Right now. This year.

Many believe this sudden narrative shift stems directly from impending public listings marked on the calendar for both companies this year. You want retail investors to buy in at $1 trillion valuations. You can’t do that while your CEO is on record saying the product will destroy half the workforce. Bad for vibes. Bad for the prospectus.

Meanwhile, back in the real world people actually live in:

Over 113,000 jobs have already been cut in 2026 as companies reorganize around AI. AI was cited as the cause of 26% of April’s job cuts alone. White-collar information sector payrolls have now fallen to their lowest level since March 2021, wiping out four years of gains, with 16 consecutive months of net job losses. That’s one of the longest peacetime declines in any major sector in modern labor history.

Amazon cut 30,000 white-collar workers. McKinsey cut 5,000 citing “AI efficiencies.” Oracle, Dropbox, Block, all restructuring around AI. Only 30% of 2025 graduates had found full-time work in their field by July, down from 41% the year before.

The prophecy is happening. They just don’t want to own it anymore.

And the public knows.

Eric Schmidt, former Google CEO and one of the architects of the world’s most powerful tech company, was booed at a University of Arizona commencement when he said AI “will touch every profession, every classroom, every hospital, every laboratory.” It wasn’t an isolated incident. It was at least the third graduation this month where speakers were booed off the stage for praising AI. Real estate execs. Music industry CEOs. All getting the same reception from 22-year-olds who can’t find jobs.

Schmidt tried to address the crowd: “I know what many of you are feeling about that. I can hear you.”

He could hear them. Altman and Amodei apparently can’t, or won’t, until the lock-up period expires.

Here’s the real tell: Altman tried delegating his Slack messages and email to AI, then switched back to doing it himself, and called that a revelation about human connection. That’s his evidence that jobs are safe. A personal email experiment, from a guy whose company’s tools are cited in mass layoff filings across the economy.

These men lit the fire, sold the gasoline, and are now saying actually the neighborhood looks fine from their window.

The apocalypse is on schedule. They just need you to not believe that for the next 6–12 months.

For context on how insane that number is: it’s larger than the GDP of Hungary, larger than FDI flowing into India, and larger than the combined national budgets of Pakistan and Bangladesh. One country’s diaspora is moving more money than most nations’ entire economies.

The numbers:

$135.4B in FY2024-25 — up from $129B the year before

India has held the #1 spot since 2008 and isn’t close to losing it, Mexico is a distant second at $68B

Still only 3.3% of India’s GDP, meaning this is a bonus on top of a diversified economy, not a lifeline

The shift that doesn’t get enough attention:

This used to be a Gulf story. UAE construction workers, Saudi laborers, Kuwait domestic workers, low-skilled migrants recycling oil money home. That era is fading. Advanced economies (US, UK, Canada, Singapore, Australia) now account for over 50% of flows. The US alone is at 27.7%, up from 22.9% just 7 years ago.

Sources: RBI Remittances Survey 2025, World Bank Migration & Development Brief 2024

In 2015, the United States was Canada's top source of foreign work permits, accounting for 13.4% of all permits issued, a figure that reflected decades of cross-border economic integration through NAFTA and shared industries.

A decade later, that number has inverted almost entirely: India now holds close to 29% of Canada's foreign work permit share, driven almost entirely by the international student-to-Post-Graduation Work Permit pipeline that expanded aggressively through the early 2020s.

The scale of the shift becomes clearer when you look at the raw numbers: across 5.7 million permits issued over this period from 171 countries, one nation has gone from minor contributor to structurally dominant. Meanwhile the United States has fallen to under 3%, now ranking behind Mexico, the Philippines, China, and several others.

Every mention of it, the stadium erupted. He asked them to let him finish. They didn't care.

Hard to blame them. Hundreds of thousands of workers laid off in 2026. 26% of cuts explicitly blamed on AI. Entry-level roles vanishing fastest. Graduating students now have a higher unemployment than the overall workforce. A billionaire telling a room full of debt-loaded graduates to "find a way to say yes" to the thing they think is replacing them before they even start did not hit well.

My honest question: are they right to reject it?

The market is tough enough with large companies off-shoring or hiring foreign labor. Given that, can graduates seriously reject AI at the same time?

Because the data also shows 275,000 AI jobs sitting open right now that laid off workers can't fill.

The ones who refuse to learn it aren't protesting. They're self-selecting out.

The students who booed loudest will graduate into the same market as the ones who didn't. Same debt. Same economy. The difference will be what they did next.

I truly believe we are headed into an era where a company will choose someone without a college degree but 4 years of experience in self-taught AI skills over the graduate without immersive AI experience.

Time will tell.

Mark Zuckerberg, in his own words, told Meta employees their devices are being tracked to train AI models.

His reasoning? Meta employees are smarter than the contract workers the rest of the industry uses for data labeling. So instead of hiring outside help, Meta is turning its own workforce into training data.

"The average intelligence of the people who are at this company is significantly higher than the average set of people that you can get to do tasks if you're working through these contractors."

He wants the AI to learn how "really smart people use computers" by watching employees work. He says the content is "stripped out" and none of it is used for surveillance or performance tracking.

Then he admitted the rollout was botched but said Meta intentionally kept employees in the dark because leaking competitive AI strategy would help rivals.

"It is not strategically in your interest for us to communicate everything in all the detail that we normally would on this."

Translation: We're watching you, we told you as little as possible, and we did it on purpose.

AI is replacing the contractor. Then the employee trains the AI. Then the AI replaces the employee.

This story and this company keeps getting weirder.