The hottest job in tech didn't exist a year ago. AI isn't eliminating jobs—it's transforming them. Read Brix Co-founder Katherine Duan on why domain "taste" is the ultimate advantage, and how we hire it globally. 👇https://t.co/s4xQa8p0ES
Just this week in US employment law: Virginia voids low-wage noncompetes (Jul 1), Nebraska's mini-WARN hits Jul 17, and PE risk now triggers at 50% working time.
Now multiply that across every country you hire in. You can't track it. An EOR does.
#GlobalHiring#HRStrategy
The 2026 layoff story is really a reshuffle: Atlassian cut ~800 and opened ~800 in AI/ML. 56% of layoffs cite AI.
The winners aren't cutting headcount — they're re-hiring the right skills, fast, anywhere.
Need that talent across borders? DM "EOR".
#eor#GlobalTalent
BCG, Columbia MBA, and years moving between China and US — I've watched two very different AI races up close. First as a strategist, now as a founder building in the Bay Area.
One question followed me the whole way: as AI gets stronger, how do people stay needed, seen, trusted?
That question became @Brix_AI
We are building an AI-native recruiting and organization platform, incubated by HF0 and part of the NVIDIA Inception Program.
Our mission is to build a future where AI lets people meet beyond every border and work together through passion alone.
How we are building the new global work infrastructure:
AI Agents handle sourcing, initial screening, coordination, and the repetitive work.
Humans handle judgment, trust, taste, context, and the last mile.
Our platform includes:
Agent-led sourcing & ranking (not just keyword search)
Real-time calibration — you approve/reject, it learns
Auto-drafted outreach, ready to send
DM me, would love for you to try Brix: https://t.co/6RVYR8GPs4
And always looking to meet more AI founders and builders:)
Big tech is shedding thousands, and top talent is quietly reshuffling to where the real innovation is. The talent window is wide open—if you can find and legally employ them. We do both.
Learn more: https://t.co/okEHYZQOfu
#EOR#Hiring
US founders hiring in China: there is no "at-will" employment. Severance is strict (N+1) and compliance is complex. Brix handles your cross-border HR and legal risks from day one. DM "EOR" 👇
#eor#GlobalHiring
The competition for global talent is as fierce as the World Cup. ⚽️🌍 Don't spend weeks scouting.
Brix uses AI to screen 3,000+ candidates so you only interview the top 3.
AI does the volume. You make the winning call. 🏆
Most "AI recruiting" just spams more resumes at you.
Brix's does the opposite: narrows thousands down to the few who actually fit—skills, timezone, comp, culture—before a human ever reads one.
Faster shortlist, higher signal.
Want your next hire pre-screened? DM us👉
"Coders now refuse to work without AI." Honestly? Same energy as refusing to code without an IDE. The real story for hiring: we're no longer screening for "can you write it." We're screening for "can you direct it." Different candidate entirely. 🤖
#TechCulture#AICoding
2026's newest hire on recruiting teams?
An autonomous AI agent—sourcing, screening, scheduling, outreach, with its own permissions.
We built our stack this way from day one: AI does the volume, humans make the calls.
"Recruiting on autopilot" is here.
Want a demo? DM us.
France just put 3 past Sweden. Mbappé from the left, Norway's Haaland scoring across the bracket — the best players don't come from the biggest countries.
They come from everywhere. Great teams just go find them.
That's the whole idea behind Brix. ⚽
#EOR#GlobalHiring
Hot take on the "AI killed the entry-level job" panic:
The ladder didn't disappear. The bottom rung moved — to people who pair AI fluency with real judgment, often in places you're not looking.
Entry-level isn't dead. Geo-locked hiring is.
Talent without borders. 🌍
#AIJobs
A US startup we work with hired 2 engineers in China through Brix.
~1/3 the cost of a Bay Area hire. And with the time-zone gap, the product ships around the clock — your team sleeps, the build keeps moving.
Same budget. More output. 0 entity headaches.
Want this setup? DM.
#EOR
$100M offers. $1.5B packages. Big Tech is nuking the AI talent market.
Founders can't win that bidding war—but you don't have to. The best engineer for your team might be in Shenzhen, Hangzhou, or Shanghai.
Talent without borders. DM us to build globally.
#AITalent#TalentWar
190 founders at Demo Day, ~56 building "fully autonomous agents," and $800K ARR is suddenly the floor. Everyone's shipping the agent. Nobody's talking about who you hire to run a company where agents do the work.
Spoiler: those people are global, and scarce.
#YC#SiliconValley
91% of recruiters have spotted fake or inflated credentials this year — and it's worse when you hire across borders.
AI can surface candidates; it can't vouch for them.
Brix vets every global hire so you're not gambling on a résumé.
Trust is the product.
DM us 👇
Every deck this week: "goals, memory, planning, tool use, autonomy." Cool, your agent has all that.
Does it have a work visa, a payroll account, and a signed contract in 5 countries? Some things still need a (very real) employer of record. Asking for a friend. 🫠
#EOR#AIagents
95% of enterprise AI pilots never scale (MIT).
The 5% that win don't have better models — they have people who *redesign the workflow* instead of bolting AI onto old ones.
AI's bottleneck was never compute. It's talent.
Find the 5%-people. We'll help.
DM US Learn More✉️
In just 18 months, Brix reached a high 8-figure ARR serving 120+ tech companies. We're building the infrastructure for the AI era. Building an AI-native team and need global talent or expert human-data ops?
My DMs are open. Let's chat!✉️
The hottest job in tech didn't exist a year ago. AI isn't eliminating jobs—it's transforming them. Read Brix Co-founder Katherine Duan on why domain "taste" is the ultimate advantage, and how we hire it globally. 👇https://t.co/s4xQa8p0ES
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This is the exact workforce infrastructure we're scaling at Brix. We connect AI labs with global experts via our EOR, recruitment, and human-data ops.
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As models get smarter, cheap data isn't the bottleneck—trusted expert judgment is. Talent with true domain taste won't be replaced; they'll be fought over.