It’s Monday, January 5: This week, we cover Meta acquiring Manus for over $2 billion to fast-track agentic automation, Zhipu AI filing a $560 million Hong Kong IPO days after open-sourcing GLM-4.7, and CES 2026 setting the hardware and compute agenda for the year ahead.
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The AI news you need to know: weekly 🤝 by AJ Green.
1️⃣ Meta Acquires Manus for $2B+ in Landmark Deal
News: Meta’s agreement to acquire Singapore-based Manus for over $2 billion marks one of the first multibillion-dollar acquisitions of an AI-agent native startup by a U.S. tech giant. The deal brings Meta a revenue-generating autonomous agent platform that achieved $100M ARR in just 8 months, positioning Meta to rapidly accelerate its push into agentic automation across consumer and enterprise products.
Details:
Meta is acquiring Manus in a transaction valued at more than $2 billion with all existing investors bought out, making it one of Meta’s largest acquisitions alongside WhatsApp and Instagram-scale deals.
Manus went from zero to over $100M ARR in 8 months, the fastest revenue ramp in startup history, demonstrating unprecedented product-market fit in the autonomous agent category.
The company builds general-purpose autonomous AI agents marketed as “virtual colleagues” capable of planning and executing complex work including market analysis, coding, and data evaluation, with $100M+ in current annualized revenue serving millions of users globally.
Meta plans to maintain Manus’s standalone subscription service and integrate its agent technology directly into Meta AI, messaging-based assistants, and business automation tools across its ecosystem.
Why it matters: This acquisition represents Meta’s definitive entry into the agentic AI race, an arena where it’s been perceived as trailing OpenAI and Google’s ecosystems. Rather than building agent capabilities entirely in-house, Meta is choosing to buy proven technology with real revenue and user traction, a strategic shift that signals how hyperscalers are positioning for 2026-2027 competitive dynamics. We’re watching the foundation model era give way to the agent era, and the megacaps are moving aggressively to own the infrastructure before the window closes.
Editor’s Note: Huge congratulations to the entire Manus team - proud of how far they’ve come. In fact, Peak (co-founder) said our first event together was one of their favorite moments of the entire year. Here’s the story from our first event together →
2️⃣ Zhipu AI Launches $560M Hong Kong IPO, Becoming World’s First Public Foundation Model Company
News: Zhipu AI is raising $560 million in its Hong Kong IPO at a $6.7 billion valuation, with trading starting January 8, 2026 on HKEX under ticker 2513. The timing is deliberate, landing days after open-sourcing GLM-4.7, its coding model that tops benchmarks and matches Claude Sonnet 4.5 on core programming tests.
Details:
The company is offering 37.4 million H-shares at HK$116.20, with cornerstone investors (Taikang Life, GF Fund Management, Hillhouse High Yield) committing $387M of the raise.
Zhipu operates China’s largest independent MaaS platform serving 2.7M+ developers, with revenue growing from $8.1M in 2022 to $44.6M in 2024 (130% CAGR) and H1 2025 revenue up 325% year-over-year at 50%+ gross margins.
70% of proceeds fund general-purpose AI model R&D through 2028; the remainder goes to MaaS expansion and ecosystem partnerships.
R&D spend accelerated from $12M in 2022 to $314M in 2024—the IPO is capital to sustain frontier-scale training while GLM-4.7’s benchmark performance proves Chinese labs can compress the 12-18 month Western development lag.
Why It matters: Zhipu is saying: we compete at the frontier, we have revenue traction, and we’re going public first. The GLM-4.7 release into IPO transforms the narrative from “Chinese AI company needs capital” to “frontier lab with proven open-source flagship entering public markets.”
Your pulse on what to look for this week in AI.
📅 Events We’re Watching
This week, the must-watch CES 2026 is happening in Las Vegas. The focus of this year’s conference will be on the massive gains in infrastructure and hardware ready to deploy exciting new capabilities.
January 4 – January 9: CES 2026 (Las Vegas)
Today, 3 keynotes will outline the compute roadmap for 2026. Look for emerging details on NVIDIA’s post-Blackwell architecture (1:00 PM PT), AMD’s volume ramp for the MI450 to meet its OpenAI commitments (6:30 PM PT), and Intel’s Panther Lake launch (3:00 PM PT), which brings significant local inference capacity to the laptop market for the first time.
Also, look out for an ambitious new floor plan emphasizing physical AI deployment. Over 58% of humanoid robot exhibitors this year are Chinese firms, alongside Boston Dynamics’ first public Atlas demonstration. The North Hall’s dedicated Robot Pavilion features the K-Humanoid Alliance showcasing operational units already deployed in warehouses, retail, and manufacturing.
🔦 Spotlight On: White House Policy at CES
Michael Kratsios, the President’s Science and Technology Advisor, will deliver a fireside chat on January 7 at 11:30 AM PT at the Fontainebleau. This marks his first major public forum since the Trump administration signed an executive order on December 11, 2025, titled “Ensuring a National Policy Framework for Artificial Intelligence,” which directs federal agencies to challenge state AI laws and calls for a uniform federal framework that would preempt state regulations.
📝 Community Notes
💻 MiniMax M2.1: SOTA for Real-World Workflows and Agentic Systems
MiniMax-M2.1 is a fully open-source, state-of-the-art coding and agent model built for real production workflows. It scores 72.5% on SWE-Multilingual and 88.6% on VIBE-Bench, outperforming closed models like Claude Sonnet 4.5 and Gemini 3 Pro. Built on a 10B active / 230B MoE architecture, M2.1 delivers fast inference, lower token usage, and local deployment, with strong performance across Rust, Java, Go, C++, Kotlin, Objective-C, TypeScript, and JavaScript. On Code Arena, it ranks #1 among open-source models, and it is currently #1 on Hugging Face, with 200k+ builders already shipping with M2.1 in 2026.
M2.1 is built for developers shipping apps, agents, and automation at scale. It’s available via the MiniMax API, included across all Coding Plans, powers MiniMax Agent, and supports local deployment for teams that want full control.
Try MiniMax-M2.1 via the API, Coding Plan, or local deployment and put it up against your own workflows. See the announcement on X here.
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About the Authors
About Noah Frank
Noah is a researcher, innovation strategist, and ex-founder thinking and writing about the future of AI. His work and body of research focus on aligning governance strategies to anticipate transformative change before it happens.
About AJ Green
AJ Green is a founder, writer, VC scout, chairman, and respected community leader in the AI and startup space. A former athlete turned tech entrepreneur, AJ is on a mission to make AI the great equalizer scaling startups, connecting ecosystems, and turning disruption into opportunity.