Good morning. It's Wednesday, February 18, and we're covering workplace anxiety slowing AI adoption, brands optimizing for chatbots, humanoid robots building robots, and more.

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🦾 Unitree’s Humanoid Robots Build More Robots
Chinese robotics firm Unitree says its G1 humanoid robots are now working in its own factories to assemble new robots. The machines operate under the supervision of the UnifoLM-X1-0 AI model. The setup marks a step toward automated robot production. The company frames it as a real-world leap once confined to science fiction.

✨ Claude Sonnet 4.6 Debuts With 1M Context
Anthropic unveiled Claude Sonnet 4.6, delivering near-flagship AI performance at $3/$15 per million tokens—about one-fifth the cost of Opus models. It scored 79.6% on SWE-bench and 72.5% on OSWorld-Verified, rivaling higher-priced systems. Enterprises say it reduces the cost of running large-scale AI agents. The model also adds a 1M-token context window and stronger computer-use capabilities.

🕊️ Meta Patents AI to Simulate Deceased Users
Meta has been granted a patent for an AI system that could simulate a user’s social media activity, even after death. Filed in 2023 and approved in December 2025, it describes using past posts, messages, and interactions to generate new content mimicking the user. Meta says it has no plans to launch the feature, and previously suggested AI replicas would require user consent.

🍎 Apple Ramps Up Work on AI Wearables
Bloomberg reports that Apple Inc. is accelerating development of three AI-focused wearable devices, including smart glasses and AirPods equipped with cameras. The products are described as part of a broader push into AI-powered hardware beyond the iPhone and Mac. The reported glasses would expand Apple’s work in spatial computing, while camera-enabled AirPods suggest new visual AI features.

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Answer at the bottom! 👇

Watch Matt explore 21 insane OpenClaw use cases—from personal CRM and knowledge hubs to automated workflows, security checks, and a self-learning AI assistant.

Erin Eatough, Keith Ferrazzi, Wendy Smith, and Shonna Waters published new survey research arguing that AI adoption often stalls not because of poor execution, but because of industry-shaped employee anxiety about job security and professional identity. Drawing on surveys of more than 3,000 workers across the United States and Europe in 2025, they found that employees can simultaneously believe in AI's business value and fear its personal impact — a "belief-anxiety paradox." While 86% believe AI will improve work at least somewhat, 4 in 10 strongly believe in its business value while simultaneously fearing for their own job security and relevance. About 80% reported strong concern about at least one "AI angst" factor, including 65% who worry about being replaced by someone better at using AI. Technology and financial services workers showed the highest anxiety levels — about 48% higher than manufacturing and education — even as they expressed strong belief in AI's value.

The authors contend that unless leaders address perceived personal risk alongside rollout plans, high usage metrics may mask shallow adoption and weak returns. Employees with high AI angst reported using AI for 65% of their job tasks (vs. 42% for low-angst peers) but also registered more than double the resistance score (4.6 vs. 2.1), suggesting compliance can mask weak buy-in. → Read the full article here. (Paywall)

Companies are shifting marketing strategies to influence AI chatbots like ChatGPT, Claude, and Gemini as consumers increasingly rely on them for answers. Executives such as Athenahealth CMO Stacy Simpson say brands must now optimize for "answer engines," not just search engines, to ensure chatbots surface accurate, up-to-date information. OpenAI says 800 million people use ChatGPT weekly, while Google reports more than 750 million monthly users of Gemini — numbers accelerating brands' push into "generative engine optimization" (GEO). The shift is spawning a new ecosystem of AI marketing firms, exemplified by start-up Evertune, founded in April 2024, which has raised $19 million and signed more than 200 clients who collectively run about one million chatbot queries per month to audit responses. Athenahealth itself published 250,000 words of targeted content over six months to improve chatbot citations after discovering outdated or incomplete answers about its products.

The emerging GEO landscape raises fresh questions about accuracy, influence, and the durability of online reputations. Marketers say platforms like Reddit, LinkedIn, and Quora are disproportionately cited by AI models — one analysis found Reddit referenced in more than half of ChatGPT's "solution-seeking" responses over the past 30 days. Meanwhile, The New York Times has sued OpenAI and Microsoft over alleged copyright infringement tied to AI systems, underscoring tensions between publishers and chatbot makers. → Read the full article here. (Paywall)

AI startups in San Francisco are pushing employees into 12- to 16-hour days, often seven days a week, as competition intensifies and fears of job displacement grow. In a February 17, 2026 report, The Guardian details how founders and engineers are grinding to keep pace with rapidly evolving tools—and to prove their value in a labor market reshaped by automation.

Tech companies cut roughly 245,000 jobs globally in 2025, according to RationalFX, with AI frequently cited as a factor. Economists and executives warn that entry-level roles are already shrinking, making the sector a potential early signal for broader workplace disruption. → Read the full article here.

💪 Reddit’s Human Edge Holds Strong: The platform hit 121.4M daily users, up 19%, as people seek authentic advice amid AI-generated clutter—despite manipulation concerns.

👨‍💻 Figma Brings Claude Into Canvas: Figma unveiled Claude Code integration, letting designers generate and edit code alongside visual mockups, aiming to collapse the gap between prototyping and production workflows.

🚀 Cohere Launches Multilingual Models: Cohere unveiled Tiny Aya, a family of open-weight multilingual AI models supporting 70+ languages, at the India AI Summit on February 17, 2026.

📈 Emergent Hits $100M ARR Fast: India’s eight-month-old vibe-coding startup doubled ARR to $100M, reaching 6M users and 150,000 paying customers amid rising demand for AI-built apps.

🏗️ India Targets $200B AI Buildout: New Delhi targets $200B in AI infrastructure by 2028, expanding GPUs past 58,000 and offering tax breaks to position India as a global computing hub.

👨‍⚖️ EU Lawmakers Block AI Tools: The European Parliament disabled built-in AI on staff devices, citing cloud security and U.S. data access risks—highlighting tensions over tech sovereignty.

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Matthew Berman & The Forward Future Team

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