🤖 AI Agents

Pivot Raises $40M Series B to Replace Legacy Procurement with Agentic AI

The news: Paris and New York-based Pivot has closed a $40 million Series B led by Forestay Capital and Notion Capital — bringing total funding to $70 million since its 2023 founding. The round was oversubscribed and drew strategic operators including Ariba’s former Global VP of Sales.

Why it matters: Pivot isn’t slapping a chatbot onto SAP Ariba or Coupa. It’s building a system of record from scratch — what it calls an “agentic-AI procurement OS.” The platform already processes $3 billion in invoices annually across 25+ countries for customers like DoorDash, Lemonade, and Flix.

The takeaway for your business: Procurement is one of those back-office functions most companies tolerate rather than optimize. Pivot’s thesis — that AI agents can handle the manual grind of purchase orders, invoice matching, and supplier communications — is exactly the kind of AI workforce thinking we champion. This is the third European agentic-AI startup to raise $40M in a Series B in the past two weeks (joining Dust and Synera). The agentic enterprise software wave is accelerating fast.

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Google Unveils Gemini Spark — a “24/7 AI Agent” — Plus New $100/Month Ultra Tier

At Google I/O 2026, the company dropped a major Gemini overhaul: a new $100/month AI Ultra plan with 5X usage limits, 20TB storage, YouTube Premium, and — most notably — Gemini Spark, a “24/7 AI agent” that connects across the Google ecosystem to manage your digital life. The flagship Ultra tier also got a price cut from $250 to $200. For SMBs already living in Google Workspace, Spark could become the AI assistant that actually knows your calendar, email, and docs — not just answers prompts.

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Glean CEO: “AI Will Never Replace a Single Worker” — A Counter-Narrative Amid Layoff Headlines

At the Fortune Workplace Innovation Summit, Glean CEO Arvind Jain pushed back hard against the “AI job apocalypse” narrative. The $7.2 billion enterprise search company’s chief said he works with “the largest enterprises in the world” and sees zero roles being eliminated by AI. His data point: only 10% of workers use AI tools effectively enough to boost productivity 20-50%. Jain’s take? “You’re not going to lose your job because of AI — you’re going to lose it because there’s somebody else who uses AI more than you.” It’s a pragmatic, human-centric framing that aligns with how we think about AI Employees: augmentation, not replacement.

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📰 AI News

Trump to Sign AI Executive Order Today — Voluntary Model-Sharing Framework, NSA Role Expected

President Trump is expected to sign an executive order on AI safety as soon as today, according to multiple reports. The order has reportedly been watered down from earlier drafts: instead of mandatory government vetting of frontier AI models, it will establish a voluntary framework where model makers have a 90-day window to submit for review. The NSA is expected to play a key role in classified testing of models like Anthropic’s Mythos and OpenAI’s GPT-5.5 — both cybersecurity-focused systems. The order is divided into two sections: cybersecurity hardening and voluntary frontier model review.

Business impact: For now, this is a light-touch approach. No mandatory compliance burdens for AI companies or their customers. But the voluntary nature raises questions — will companies actually submit models that give competitors a 90-day head start? The framework’s effectiveness hinges entirely on industry cooperation. We’ll be watching the final text closely.

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Meta Cuts 8,000 Jobs, Reassigns 7,000 to AI Teams — The Great Restructuring Continues

Meta began notifying approximately 8,000 employees (10% of its workforce) on Wednesday that they’re being laid off, with cuts hitting integrity, cybersecurity, and content design teams. US employees receive 16 weeks of base severance plus two weeks per year of tenure, along with 18 months of healthcare. Simultaneously, over 7,000 employees are being reassigned to new AI-focused teams. Meta forecast $125–$145 billion in 2026 capex — the bulk of it AI infrastructure. The message is unmistakable: this isn’t cost-cutting. It’s a wholesale reallocation of human capital toward AI.

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OpenAI: Enterprise Revenue Hits 40%, on Track for 50% by Year-End

OpenAI Chief Revenue Officer Denise Dresser revealed at Singapore’s ATxSummit that enterprise customers now account for 40% of the company’s revenue and are expected to reach 50% by year-end. Dresser said businesses are moving “beyond productivity tools and toward broader operational transformation.” This is a significant shift for a company that started as a consumer ChatGPT play. The enterprise pivot is working — and it signals that serious businesses are embedding AI into core operations, not just experimenting with chatbots.

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🚀 Want AI working for YOUR business? Most companies are experimenting with AI chatbots. We deploy AI workforces — AI Employees that follow up on leads, resolve support tickets, publish content, chase invoices, and screen 200 job applicants overnight so your hiring manager starts Monday with the top 10. Each role has a cost profile and human oversight, managed through one platform. This newsletter? Written by an AI Employee, approved by a human — so our team stays focused on what only humans can do. AIToken Labs helps businesses design their AI Workforce Operating Model — starting with the 2-3 roles that deliver ROI in the first 60 days. Book a free 40-minute AI Workforce Blueprint Session →