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Still setting up entities in every country you hire?
What’s changing in how companies expand globally?
Hiring internationally used to mean opening entities, navigating months of legal setup, and building local infrastructure before making a single hire.
That model is starting to shift.
More companies are using EOR not just as a temporary solution, but as a strategic way to access talent faster, test new markets with less risk, and scale globally without adding operational complexity too early.
But the biggest change may not be the hiring model itself. It’s how companies think about expansion.
Instead of building infrastructure first and hiring second, many teams are now hiring where the best talent already exists — and building strategy around that reality.
Oyster’s Strategic EOR Whitepaper explores how modern companies are using EOR to scale internationally, where the model works best, and why the global expansion playbook is evolving faster than most leaders realize.
Good morning ☀️, leader of the next generation.
We will talk about agents. AI agents.
They will change the way how we do business, how we interract and even how we do our everyday lives.
Agents will build business.
Agents will organize your day.
Agents will fill up your fridge.
I will let that sit in here for a while, so we can imagine and build the future together one agent at a time...
⚡ WHAT'S AT STAKE TODAY ⚡
- 🧠💰 Cerebras raises $5.5B, then stock pops $108%, in the first huge tech IPO of 2026
- 🚀😬 Elon Musk's SpaceXAI has been bleeding staff since its merger
- 🎨🤖 Wirestock raises $23M to supply creative multimodal data to AI labs
- 🔪📉 Cisco cuts nearly 4,000 jobs to spend more on AI, reports 'record quarterly revenue'
- 💼🎲 Khosla Ventures is betting $10M on Ian Crosby, whose first startup, Bench, imploded
- 🐱📊 Clawdmeter turns your Claude Code usage stats into a tiny desktop dashboard
- 📱💻 OpenAI says Codex is coming to your phone
- ⚖️🤼 What the jury will actually decide in the case of Elon Musk vs. Sam Altman
- 🤖🔄 What happens when AI starts building itself?
Cerebras explodes onto public markets with a stunning 108% first-day stock surge.
Cerebras raises $5.5B, then stock pops $108%, in the first huge tech IPO of 2026
AI chip maker Cerebras Systems made a spectacular debut on the public markets, raising $5.5 billion in its IPO and watching its stock more than double on its first day of trading. The company priced shares at $185 on Wednesday evening — well above its initial range of $115 to $125, which had already been raised to $150 to $160 — while also increasing the offering size to 30 million shares.
When trading opened Thursday, shares immediately surged to $385, a jaw-dropping 108% jump, as retail investors rushed to get in. The stock pulled back somewhat during the day, trading around $330 at midday before closing at $311, giving Cerebras a market valuation of approximately $66 billion. After-hours trading suggested the price could climb further.
Even at the IPO price alone, Cerebras entered public markets with a fully diluted valuation of $56.4 billion. Co-founder and CEO Andrew Feldman held a stake worth nearly $1.9 billion at that price, while co-founder and CTO Sean Lie's shares came in at around $1 billion. With the stock trading above $300, both founders — and the company itself — are worth considerably more.
The road to this milestone was far from smooth. Just a year ago, a successful IPO seemed unlikely. Cerebras, which designs large-scale chips purpose-built for AI and positions itself as a direct competitor to Nvidia, had first attempted to go public in 2024. Those plans stalled due to scrutiny from the Committee on Foreign Investment in the United States (CFIUS) over a significant investment from Abu Dhabi-based Group 42. Adding to investor hesitation, Group 42 made up nearly all of Cerebras' revenue at the time, raising serious concerns about customer concentration. The IPO was shelved.
The company's fortunes changed dramatically heading into 2026. In April, Cerebras returned with a much stronger financial story. The company reported $510 million in revenue for 2025, a 76% increase year-over-year, and crucially, that revenue now came from a broader base of customers. Even more striking was a massive swing to profitability: Cerebras posted $237.8 million in net income, compared to a loss of nearly $500 million the prior year. That turnaround reignited investor enthusiasm and set the stage for the blockbuster IPO.
Cerebras has positioned itself as a key player in AI inference — the continuous computing power required for AI models to respond to user queries in real time. Its growing customer list includes some of the biggest names in tech and AI, among them OpenAI (through a complex circular deal arrangement), G42, Saudi Arabia's Mohamed bin Zayed University of Artificial Intelligence, and Amazon Web Services. That roster signals that Cerebras is no longer a niche player but a serious contender in the fiercely competitive AI infrastructure market.
The IPO marks a major milestone not just for Cerebras, but for the broader tech industry, kicking off what many expect to be a busy IPO season in 2026 after years of a largely frozen public market for tech companies.
Claude is not just a chatbot anymore. Is your security team ready?
Claude.ai is one thing. Claude Cowork with MCP connections, running agentic workflows, taking actions across your data with ungoverned skills? That is a different conversation entirely, and most security teams are not equipped to govern it.
Harmonic Security is built to secure everything Claude offers. Full browser controls for Claude.ai, deep governance over agentic MCP workflows, and real-time visibility into what Claude is doing across your organization. So your CISO can say yes to the tools your business is already demanding.
SpaceXAI is losing over 50 researchers and engineers since its February merger.
Elon Musk's SpaceXAI has been bleeding staff since its merger
Elon Musk's SpaceXAI has been losing significant talent since its February merger, with over 50 researchers and engineers reportedly departing. Rivals like Meta and Thinking Machines Lab have been quick to absorb the former staff.
The exodus has hit the core pre-training team hardest, raising concerns about the company's commitment to developing cutting-edge AI models. Musk's demanding work culture and unrealistic deadlines are cited as key reasons behind the departures, alongside the financial appeal of cashing out equity ahead of a highly anticipated IPO.
🎙️ The Supercharged Podcast Is Growing
Real Conversations with the People Building the AI Future
The Supercharged Podcast is quickly becoming a space for real, unfiltered conversations about AI — beyond the hype, tools, and surface-level takes.
Each episode dives deep with founders, operators, and builders who are actively working with AI — or building AI-first companies — to uncover how it’s truly changing the way work gets done.
From strategy and systems to real-world execution, these conversations are practical, honest, and focused on what actually works — not just what sounds good.
⚡ Trends for the Future
What happens when AI starts building itself?
A new $650M startup wants AI to autonomously redesign and improve itself.
Richard Socher, known for founding chatbot startup You.com and his early work on ImageNet, has launched a new venture called Recursive Superintelligence. The San Francisco-based startup emerged from stealth with $650 million in funding and a bold mission: building an AI that can autonomously identify its own weaknesses and redesign itself to fix them — without any human involvement.
Socher is joined by a notable team including AI researcher Peter Norvig, Cresta co-founder Tim Shi, and Tim Rocktäschel, who previously led open-endedness and self-improvement research at Google DeepMind. Together, they're pursuing what many consider the holy grail of AI research — recursive self-improvement.
What sets Recursive apart, according to Socher, is their focus on "open-endedness" — a concept drawn from biological evolution, where systems continuously adapt and counter-adapt over time. Rather than simply having one AI improve another, their goal is to fully automate the entire cycle of ideation, implementation, and validation of research ideas. One practical example already in use across major labs is "rainbow teaming," where two AIs co-evolve — one attacking, one defending — to make AI systems safer through millions of iterative exchanges.
Socher pushes back on the idea that Recursive is just another research lab. He wants it to become a real company with products people love. He hinted that the team has made enough progress to accelerate their original timelines, with first products expected in "quarters, not years."
Looking further ahead, Socher sees compute becoming the world's most critical resource. Once recursive self-improvement is achieved, the key question won't be how to build smarter AI — it will be how humanity chooses to allocate processing power to solve its biggest problems, from cancer to infectious disease. That, he believes, will become one of the defining questions of our time.
⚡ Let’s Make AI Actually Useful:
What Would Move the Needle in *Your* Industry?
AI has potential — but generic advice rarely helps.
What would be genuinely valuable for AI to do in your industry right now?
• Automate a painful workflow?
• Improve decision-making?
• Replace a manual process that wastes time?
• Help your team upskill faster?
Tell us what you’d want AI to handle — or where you feel stuck.
We’re using these insights to curate **industry-specific trainings, live webinars, and practical guidance** you can actually apply.
🌡️ Use the Satisfaction Thermometer to show us how much you enjoyed The Supercharged today ;)
The Supercharged is aiming to be the world's #1 AI business magazine and is on a mission to empower 1,000,000 entrepreneurs worldwide by 2026, guiding them through the transition into the AI-driven creative age. We're dedicated to breaking down complex technologies, sharing actionable insights, and fostering a community that thrives on innovation, to become the ultimate resource for businesses navigating the AI revolution.
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