Tech Layoff Tracker

A CS professor at a mid-tier state university just sent me their internal placement data Fall 2023: 89% of their graduates had offers by graduation. Average starting salary $94k Spring 2024: 71% placement rate. Average dropped to $78k Fall 2024: 43% placement rate. Those who got offers averaged $61k Spring 2025: 31% of graduates employed in software roles six months out This semester? 19% placement rate and falling Faculty meeting last Tuesday got heated when the department chair suggested "pivoting curriculum toward AI collaboration skills" One professor stood up and said "we're teaching students to build the systems that eliminate their own jobs" The career fair last month had 12 companies show up. Half were MLMs and insurance sales Students keep asking why they're learning data structures when the job postings all say "3+ years experience with LLM integration" Professor told me the hardest part is the parent meetings "My daughter took out $140k in loans for this degree and she's working at Starbucks" Meanwhile the university is still running ads promising "94% job placement rates in high-growth tech careers" The disconnect is crushing everyone involved Faculty knows the industry has fundamentally shifted but the marketing department is still selling the 2019 dream These kids mortgaged their futures for careers that evaporated while they were in class

Source at a major cloud provider just confirmed what we all suspected They've been screen recording every engineer's desktop for 6 months. Not for productivity. For training data. 183 senior engineers across infrastructure, platform, and ML teams. Every keystroke, every debugging session, every architecture decision captured in 4K. The recordings are feeding their internal "DevMind" model. Teaching it how their L7s troubleshoot distributed systems, how they optimize database queries, how they architect for scale. Each engineer generates roughly 8 hours of premium training data per day. That's 1,464 hours per engineer over 6 months. The model can already replicate 73% of their senior debugging workflows. It knows which logs to check first, which metrics correlate with outages, which config changes fix common issues. Two L4 contractors in Bangalore are now shipping infrastructure fixes faster than the original L7 team using this internal model. The engineers have no idea. They think the "new productivity monitoring tool" is just tracking merge requests and deployment frequency. HR sent a survey last week asking about "knowledge documentation practices" and "mentorship capacity." They're preparing the narrative. One architect realized what was happening when he saw his exact debugging methodology show up in the model's output. His unique problem-solving patterns, his specific variable naming conventions, his particular way of structuring logs. 15 years of expertise extracted into training weights. His replacement is already shipping code that thinks exactly like him. The knowledge extraction is complete. The humans are now redundant. But hey, at least they got to train their successors.

Meta just confirmed 16,000 layoffs but I'm hearing the real number is closer to 22,000 Sources inside are saying this isn't just about AI efficiency gains - it's full workforce replacement One senior engineer told me they've been documenting every decision tree, every debugging process, every architectural choice into "knowledge management systems" for the past 8 months Turns out those systems were feeding training data to internal AI agents The AI can now handle 73% of the codebase modifications that used to require human engineers Middle management got the directive last week: identify which engineers are "AI-multipliers" and which are "legacy dependencies" Word is they're keeping 1 senior engineer per team and replacing the rest with a combination of Claude API calls and offshore contractors running Cursor The offshore team costs $28k per engineer annually versus $240k for Bay Area talent Performance reviews next month aren't actually reviews - they're knowledge extraction sessions Engineers think they're mentoring junior teammates and training the next generation They're actually teaching the AI systems their last remaining institutional knowledge One source showed me the internal productivity metrics: teams with heavy AI integration are shipping 340% faster with 60% fewer engineers The scariest part? The engineers being laid off are the ones who built the AI tools in the first place They spent two years automating themselves out of existence and calling it innovation Badge deactivations start Monday But sure, keep telling people Meta is "investing in the future of work"

A source inside a major cloud platform just sent me the most dystopian spreadsheet I've ever seen Engineering manager got handed stack rankings for her 23-person team on Monday morning 30% forced into "below expectations" bucket. That's exactly 7 people who have to get the rating. She knows these 7 names become the layoff list in January. HR made her sign something saying the ratings are "completely independent of workforce planning decisions" But the Outlook calendar invites are already sent. "Workforce optimization discussions" scheduled for January 15th through 22nd Her skip-level just told her the remaining 16 engineers will be "right-sized for our AI-augmented development model" The 7 getting managed out? All her solid performers. The ones who ship features but don't have the political capital to survive stack rank Meanwhile the 3 people getting "exceeds expectations" are the ones who built the internal AI coding assistant that's about to replace half the org She's watching her people celebrate their holiday bonuses while she's already seen the termination timeline The real kicker: she has to deliver these ratings with a straight face during their 1:1s next week "This is about performance, not headcount reduction" But the badge deactivation requests are already in the system January 23rd. All 7 gone the same day. The stack rank was never about performance. It was about manufacturing legal cover for the cuts they already decided

@yanjunma1 Suck my balls tech worker

@TechLayoffLover Sounds made up. December 2025 graduation? The graduation is usually in June…

Tech recruiting data just dropped and it's an absolute bloodbath University of Washington CS program graduated 487 students in December 2025 63 have full-time offers. That's a 13% placement rate. Last year's class of 456? 312 had offers by graduation. 68% placement rate. The remaining 424 graduates are working at coffee shops, driving rideshare, or taking unpaid "AI training internships" that are just data labeling One kid I know personally: 3.9 GPA, published research, internship at a major cloud provider. Applied to 1,247 positions since September. Got 4 phone screens. Zero final rounds. Every rejection mentions "current market conditions" and "AI-driven efficiency initiatives" His former internship manager? Just got managed out. Entire team of 9 replaced by 2 contractors in Eastern Europe using Claude Sonnet The career center is still hosting "Breaking Into Big Tech" workshops while companies automate away entire engineering ladders Most brutal part: these kids spent 4 years learning data structures and algorithms while the industry decided it needed prompt engineers instead Half the class is now enrolled in 6-month bootcamps to "learn AI tools" - paying another $15k to learn the systems that eliminated their jobs The university won't update their marketing materials. Still advertising "94% job placement rates" from 2023 data CS enrollment applications are down 31% year-over-year but the damage is already done These 424 graduates represent $67M in student debt walking into an industry that stopped hiring humans But sure, keep telling kids that "software engineering is recession-proof"

Block just confirmed 4,000 layoffs — 40% of their global workforce — with Jack Dorsey explicitly citing "growing capability of AI tools to perform a wider range of tasks" Sources inside are telling me the real story is way darker Word is they've been running shadow operations for 8 months. Teams of 3 offshore contractors with Claude and Cursor rebuilding entire product features that used to require 15-person squads I'm hearing the Cash App team that was 47 engineers is now 12. Same features shipping. Same uptime. Faster iteration cycles. One source walked me through their internal "AI Impact Assessment" — basically a spreadsheet ranking every role by "automation probability." Anything above 73% got flagged for elimination The customer support org? 1,200 people down to 180. AI agents handle 94% of tickets now. The remaining humans just handle the 6% that break the automation But here's the kicker — I'm hearing this 4,000 number is just wave one Internal planning docs supposedly show another 2,800 cuts planned for Q3. They're calling it "AI-native operational efficiency" The senior engineers who built these AI systems? Half of them got walked out yesterday. They automated themselves into obsolescence and didn't even see it coming One L7 told me: "I spent 18 months building the prompt chains that replaced my entire team. I literally trained my own firing squad" Dorsey's been telling investors this is the "largest single AI displacement event in tech history" — like he's proud of it If you're at Block and still have badge access... start looking. The knowledge extraction phase is complete

LAYOFF ALERT: CRYPTO.COM 12% of its workforce citing AI integration after they spent $70M on the domain ai.com last month. CEO: “Companies that move immediately will achieve scale that was previously impossible.” The list grows daily.

Source at a major cloud platform just texted me from the bathroom Their entire infrastructure team - 67 engineers - got mandated to document "every single process, decision tree, and tribal knowledge" into Confluence by January 31st No exceptions. Every debugging workflow. Every performance optimization trick. Every edge case handling procedure. Every "this is how we actually fix X when Y breaks at 3am" runbook The documentation templates came pre-built. Suspiciously detailed. Almost like someone already knew exactly what they wanted extracted 147 pages of templates covering every possible scenario their platform team has encountered over 8 years of scaling Meanwhile 23 "transition specialists" started onboarding in Bangalore last Tuesday. Getting admin access to all the same systems. Same Slack channels. Same PagerDuty rotations My source says the Bangalore team lead was asking very specific questions about the documentation timeline during yesterday's "knowledge sharing session" The platform team thinks they're building a "knowledge base for better collaboration and reduced bus factor" The executives keep saying "this will make everyone more efficient and reduce operational overhead" But the math is simple: $340k average salary for senior platform engineers in Seattle versus $31k for equivalent talent in Bangalore with full access to their documented playbooks The knowledge extraction ends January 31st The "organizational restructuring to optimize for AI-driven operations" announcement is scheduled for February 3rd My source is updating his resume tonight but honestly where do you even go when every cloud company is running the exact same playbook The institutional knowledge of 8 years scaling from 10k to 50M users is getting packaged up and shipped offshore in 6 weeks If you're still documenting your job into Confluence thinking it's job security... it's not

**BREAKING** Crypto.com just announced a 12% workforce reduction across the board. People inside say the official explanation about “preparing for the next cycle” barely scratches the surface. Leadership has spent the past few months staring at internal usage metrics after rolling out aggressive AI tooling to product, engineering, compliance, support, and ops. The data jumped off the screen: logged working hours collapsed for a large portion of the company. Plenty of employees are now putting in far less than a full week’s effort while key metrics—new listings, case closures, fraud flags caught, marketing assets produced—stay level or actually improve. One product lead pulled the reports and saw it clearly: same amount of work getting done, but the human time invested dropped sharply. The conclusion was simple and merciless. When tools let one person cover the ground that once needed three, keeping three on payroll stops making sense. That realization is pushing the real cuts well beyond the headline 12%. This isn’t just about trimming during a quiet market. It’s about discovering that big sections of the organization now generate what looks like full-time output in what registers as part-time hours. The polished “realignment for sustainable growth” messaging is window dressing. They’re quietly reshaping entire teams so agents handle what used to require constant human attention. The internal directive is straightforward: Reduce headcount. Shift more to automation. Keep pushing the efficiency curve higher. If you work at Crypto.com and figure your role is protected because it’s “too crypto-specific” or “AI can’t handle the nuance”… think again. The numbers on those dashboards override everything else. A 40-hour position can suddenly appear as 12–15 hours of measurable value. DMs are open if you’re there right now and seeing the next round take shape. Share which departments are bleeding worst, any leaked internal figures, dashboard shots, anything real. No hype. No fluff. Just what’s actually happening.

It’s over for Meta employees. Time for you overpaid babies to go to trade school

You heard it from Tech Layoff Lover first. Crypto dot com whacked 12% of workforce. DM’s open if you have other confidential stories

Jessica finished her CS degree at a top-tier public university in December with $174k in federal loans and a 3.91 GPA She's submitted 1,203 applications since graduation Got callbacks from exactly 7 companies. Made it to final rounds at 2. Both went with "no junior hires this cycle" The feedback is always the same: "We're looking for someone who can hit the ground running with AI tooling" Last week she interviewed at a Series B fintech that posted an "Associate Software Engineer" role The engineering manager was honest: "This role used to be for bootcamp grads and new CS majors. Now we need someone who can manage 3 AI agents and review their output at senior level" The salary range dropped from $95k to $68k because "the AI does most of the actual coding" Her algorithms professor still brags about 98% job placement rates from 2019-2022 Jessica's working retail at Target while her loan payments kick in next month $1,847 monthly minimum on a $16/hour Target salary She keeps getting LinkedIn ads for "AI Bootcamps" promising to make her "recession-proof" The same bootcamps now cost $24k because they know desperate CS grads will pay anything Her former classmates who got hired? They're all at consulting firms or doing product management The ones still coding are mostly maintaining legacy systems at banks, waiting for those to get automated too Yesterday she got an email from her university asking for a donation to the new "AI Ethics Research Center" But sure, keep telling kids that computer science is a stable career path

Source inside a major cloud platform just told me something that made my blood run cold They created an "AI Center of Excellence" in January and moved 200 engineers into it with massive fanfare Told them they were the chosen ones. The future of the company. Building next-generation AI infrastructure that would "transform how we deliver value" Each engineer got a $15k retention bonus and stock refresh. Leadership kept saying "this is where the magic happens" The CoE has been running for 7 months now with zero shipped features No product roadmap. No customer deliverables. Just endless "research sprints" and "foundational architecture planning" 200 engineers burning $47M in annual salary to build proof-of-concepts that never see production Meanwhile their old product teams got "AI-augmented" - meaning 3 contractors in Bangalore with Cursor replaced 8 full-time engineers per team My source realized what was happening when finance started asking the CoE for detailed "individual contributor impact metrics" last week They're not building the future. They're in a holding pen The real AI transformation already happened on the product side. Headcount down 60% with same velocity Q3 reorg is going to "sunset the Center of Excellence due to strategic realignment" 200 engineers who thought they were untouchable are about to discover they've been training their offshore replacements for 7 months The retention bonuses? They vest in Q4. One quarter after the layoffs hit If you're in an "AI Center of Excellence" anywhere... the excellence they're measuring isn't yours

My source at a major enterprise software company just forwarded me their internal "Digital Transformation Excellence Program" slides 273 customer support engineers just signed up for what they think is career advancement training 90 days of "AI collaboration workshops" teaching them to build automated workflows, document decision trees, and create "intelligent response templates" The engineers are pumping out LinkedIn posts about "embracing the future" and "becoming AI-native" What the slides don't mention: the program includes mandatory screen recording of every training session Every troubleshooting conversation gets transcribed and fed into their knowledge base Every escalation decision gets documented with timestamps and reasoning The support engineers are literally building the training data that will replace them Week 12 deliverable: "comprehensive workflow documentation for common customer scenarios" Translation: they're writing the playbook for the AI agent that launches in Q3 Headcount projections I saw show 47 support engineers remaining after "program completion" The other 226 get "graduated" into "new opportunities" - aka managed out with their own documentation The kicker: they're calling it professional development and the engineers are asking for LinkedIn recommendations The knowledge extraction is happening in real time and they're celebrating it If you're in a reskilling program that involves documenting your daily workflow... RUN

Just heard from someone at a major cloud provider - RTO mandate just dropped internally with 5 days notice 3 offices in Austin, Denver, and Portland being consolidated into their main Seattle campus Zero relocation assistance. Zero remote exceptions. Zero negotiation period. 2,847 employees affected. 1,712 of them have been fully remote for 3+ years with families, mortgages, kids in local schools The Seattle office has desk space for maybe 800 people max Internal Slack already lighting up with resignation letters. 127 posted in the first 2 hours after the announcement Finance team ran the numbers - they're budgeting for 1,680 voluntary departures by the deadline That saves them $340M in severance they'd have to pay for layoffs One director told his team straight up: "They want 60% of you gone and they want you to quit so they don't have to explain it to shareholders" The remaining 40% will be so desperate they'll take any conditions, any workload, any pay freeze Meanwhile the job market is completely frozen. These people have nowhere to go HR is calling it a "return to collaborative excellence" while accounting calls it "voluntary workforce optimization" If you got hit by this... the math was never about productivity They're using your mortgage against you

Recruiter I know has been placing tech talent for 15 years Never seen numbers like what she's tracking now Role that used to get 50 applications now pulls 1,200. Senior Android position last week hit 2,847 before they pulled the posting Her placement rate dropped from 73% in 2022 to 11% this year Companies ghost her after final rounds. She'll shepherd a candidate through 5 interviews, references checked, verbal offer given, then radio silence for 3 weeks One hiring manager told her straight: "We're not actually hiring. We're just seeing what's available before we decide between AI agents and offshore" She placed a DevOps engineer at a logistics company in September. Same role got posted again in November. Asked her contact what happened "Oh we kept him 6 weeks to document everything, then replaced him with 3 contractors in Chennai and a monitoring AI that costs $400/month" Another company she's worked with for 8 years just sent her their 2025 headcount planning Engineering org going from 67 people to 23. "AI productivity gains" they called it She's watching entire teams get "reskilled" in January only to get managed out by March once the knowledge transfer is complete Her biggest client told her yesterday: "We don't need talent acquisition anymore. We need talent extraction" 22 years building relationships in this industry Now she's updating her own resume The machines didn't just take the jobs. They took the people who found the jobs too

The CEO of Microsoft AI just said on camera that most white collar work will be fully automated within 12 to 18 months. This isn't some random guy on a podcast. This is the person in charge of building the tools that will do it. And he's telling you the timeline out loud.

@abram2k1 He is @John_Chungus_5

@TechLayoffLover Ai slop. Even if it’s not you should intentionally go out of your way to make sure It doesn’t appear that way. “A buddy”. Just total bullshit. Post his name so people can help and his handle.

A buddy from college hit me up last night out of nowhere. Dude was a senior product manager at Google. Pulled $320k+ TC no problem. House in Austin, three young kids, wife who stepped back from her career to handle the family chaos. Got cut in the latest restructure wave. Now he's watching the savings bleed out at $5,800+ a month just to keep the lights on and the kids fed. Mortgage, daycare for the toddler, school supplies, two car notes, health insurance COBRA kicking in soon. He crunched the numbers stone-cold: maybe four months before it's game over. He was always the loud one in the group—bragging about the stock grants, the remote flex, how Big Tech was bulletproof forever. Last night on the call he was quiet. Shaky. Admitted he's waking up at 3 a.m. staring at the ceiling thinking about what happens when the account hits zero. He's blasting applications. 250+ out the door. A couple recruiter DMs that fizzle. Screens that end with "we'll be in touch" and then silence. The market is ice-cold and every job posting gets 500+ applicants overnight. He said flat-out: "We thought we had it figured out. House, kids' college funds starting, vacations planned. Now I'm refreshing job boards at midnight wondering if we'll have to move in with my in-laws." You never think it'll be you. Until the access gets revoked, the calendar turns into a ghost town, and the mortgage statement shows up anyway. If you're still collecting fat TC at a FAANG or big tech shop thinking the golden handcuffs and network will always catch you… wake the fuck up. The runway disappears faster than you expect. DMs open if you're in the same spiral or watching someone you know crack under it. No judgment. Just real talk.

Meta just confirmed 15,800+ layoffs but I'm hearing the real number is closer to 22,000 Sources inside are saying this isn't about AI infrastructure costs - it's about replacement velocity One team lead told me they've been running "knowledge extraction sessions" since October. Senior engineers think they're training AI assistants. Really they're training their replacements. Word is Meta built an internal tool that converts any engineer's work patterns into prompt libraries. Screen recordings. Decision trees. Code review styles. Everything. The pilot program replaced 47 engineers with 12 "AI coordinators" and offshore contractors running the extracted workflows Productivity metrics show the new model ships 34% faster with 73% fewer bugs A director in Reality Labs said they're not even pretending anymore. Told his team straight up: "We're documenting your expertise. When we're done, we won't need most of you." The 90-day severance isn't generosity - it's how long they need to finish knowledge extraction on the remaining teams One L7 architect realized he's been training an AI system that thinks exactly like him. Same debugging approach. Same architecture decisions. Even mimics his code comments. His manager just assigned him two junior contractors in Bangalore who have access to his "AI mentor" and are shipping features he used to own Meta's calling it "workforce optimization." Internally they're calling it "human deprecation" The scariest part: other FAANG companies are studying Meta's playbook If you're still there documenting your processes for "AI alignment"... you're building your own exit ramp