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Hey fam 👋 Luis & Rui here with your Thursday AI coffee break.
This week, Sam Altman says the AI “jobs apocalypse” he once feared isn’t happening, Anthropic is on the brink of passing OpenAI as the most valuable AI company on earth, and Microsoft just launched its first homegrown image model.
Plus Claude agents that live inside your firewall and the first commercial humanoid robots heading into a US warehouse.
Grab your coffee!
(3-minute coffee break ☕)
*together with
Cuey – AI sounds confident even when it’s wrong. The free Chrome extension that cross-checks ChatGPT, Claude, and Gemini in one tab so you catch hallucinations before they burn you.
👉 Install Cuey free — enter AIBREAK for 2 months of Pro on us.
AI News around the world 🌍
🧑💼 OpenAI’s Sam Altman says AI is unlikely to cause a “jobs apocalypse,” admitting fewer entry-level white-collar roles have vanished than he once feared. (continue reading)
💰 Anthropic is about to close a $30B funding round at a $900B valuation, set to surpass OpenAI as the world’s most valuable AI startup. (continue reading)
🧠 Microsoft AI launched MAI-Image-2.5, its first in-house image model, debuting at No. 3 on the LMArena text-to-image leaderboard. (continue reading)
🤖 Anthropic unveiled Claude Managed Agents that run in self-hosted sandboxes and connect to private MCP servers inside enterprise security boundaries. (continue reading)
🚗 Figure signed its first commercial humanoid deal with JCPenney-parent Catalyst Brands, deploying robots at a Reno distribution center. (continue reading)
Trending AI Tools 🛠
🤖 NoimosAI: An all-in-one autonomous AI marketing platform for SEO/GEO, social media, growth strategy, competitor intelligence, multi-channel marketing workflows, and more — helping individuals and companies scale marketing operations from one unified system. 👉 Start your 7-day free trial
🏠 Floor Plan AI: Turn a single sentence describing your dream home into a 2D floor plan or 3D model in seconds.
💰 DOBS AI: An end-to-end AI platform for financial due diligence that turns messy data rooms into production-ready workbooks.
📚 Knowly: A proactive AI learning companion that saves anything you read, auto-organizes it by topic, and builds multi-page guided learning journeys from your sources.
Tutorials 📝
Career & Capital 💼
AI Job Board
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🧠 Apple: Machine Learning Research Engineer, Generative AI – $147,400 to $272,100 (view job)
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⚖ Delaware Department of Justice: Senior Artificial Intelligence Policy & Technology Fellow – $45,000 to $64,666 (view job)
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💼 Renesas: Senior Staff AI Engineer – $139,500 to $185,000 (view job)
Investments in AI
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🚀 Cognition AI: Maker of autonomous AI software engineer Devin raised over $1B at a $26B valuation (co-led by Lux, General Catalyst, 8VC) as enterprise usage grew 10x year-to-date. (link)
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🧱 OpenRouter: The multi-model AI gateway routing 25T tokens/week across 400+ models raised $113M Series B at a $1.3B valuation, led by Alphabet’s CapitalG. (link)
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🏦 Catena Labs: Circle cofounder Sean Neville’s AI-native bank raised $30M Series A (Acrew + a16z crypto) and filed for a national trust bank charter to power agentic finance. (link)
Prompt of the Week 🧠
SaaS Stack Audit → Find the redundant subscriptions quietly draining your bank account.
Prompt:
You are my SaaS portfolio analyst. I'll paste my current software stack below — tool name, monthly cost, # of seats, primary use case, and last login date if I have it. Stack: [PASTE YOUR TOOL LIST HERE — one per line: Tool | Monthly cost | Seats | What we use it for | Last active] My company context: - Team size: [X people] - Stage: [pre-seed / seed / Series A / bootstrapped / etc.] - Top 3 workflows that MUST keep working: [e.g., sales outreach, customer support, financial reporting] Do the following: 1. Cluster every tool by job-to-be-done (e.g., "comms," "CRM," "design," "analytics"). 2. Flag every cluster with 2+ tools and rank the overlap from "fully redundant" to "complementary." 3. Identify zombie tools (low usage, high cost) and propose a kill list with estimated annual savings. 4. For each consolidation opportunity, name which tool to keep, which to cut, and the migration risk (low/medium/high). 5. Output a 30-day action plan: week-by-week, what to cancel, what to migrate, and what to renegotiate. 6. End with one number: total estimated annual savings if I execute everything. Be ruthless. Assume I'd rather have fewer tools used deeply than many used shallowly.
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🙌 That’s a wrap for today’s AI Break
Thanks for hanging out → don’t forget to hit subscribe, drop your thoughts below and share this update with your fellow AI enthusiasts.
Luis & Rui
PS: Catch us on X @sousa_brothers for daily updates on the latest AI developments.
PPS: If you enjoyed today’s AI Break, sharing is caring (and our algorithms are 😉 programmed for gratitude)
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