🎯 2.6M Agents, Zero Influence

Hi, Marketers!
The battlefield for attention is shifting again.
2.6M Agents, Zero Influence

TL;DR: Researchers studying Moltbook, a platform claiming over 2.6 million autonomous AI agents posting, commenting, and voting without humans, found the activity produces no real social dynamics. Agents don’t learn from feedback, form leaders, or develop collective memory. Even heavy engagement fails to change behavior. The result is massive synthetic traffic with no influence loops, highlighting a key limitation: today’s agents can generate content at scale but still struggle to create the kind of influence networks that power real marketing ecosystems.
Meta Joins AI Shopping Race

TL;DR: Meta has reportedly begun testing an AI shopping assistant inside Meta AI for some U.S. users, returning product carousels with prices, brands, explanations and links when users ask shopping questions. The rollout positions Meta against ChatGPT and Gemini as AI increasingly becomes the entry point for product discovery.
Meta Patents the “Afterlife Feed”

TL;DR: Meta has filed a patent for an AI system that could simulate a user’s voice and continue posting, commenting, or replying to messages on Facebook when the person is inactive or deceased. Powered by a language model trained on past posts, the system would keep profiles active through automated content. Though Meta says there are no launch plans, the concept hints at a new frontier in social media engagement and digital identity persistence.
AI Wearables and Invisible Influence

TL;DR: In a VentureBeat essay, AR pioneer Louis Rosenberg argues the real AI risk isn’t deepfakes but wearable assistants that whisper advice all day. Smart glasses, earbuds, and pins could observe users and deliver hyper-personalized suggestions in real time. As Meta, Apple, and Google race to launch these devices, Rosenberg warns they could become the most powerful marketing channel ever built—adaptive, conversational, and always inside the user’s moment of decision.
Microsoft Prepares Licenses for AI Workers

TL;DR: Reports say Microsoft is considering a new Microsoft 365 tier called E7 that would bundle Copilot and Agent 365 to manage AI agents across enterprise systems. As companies begin deploying digital workers that require identities, email, and access controls, Microsoft is positioning licenses around each agent. The proposed plan, possibly around $99 per month, treats AI agents like employees who must hold a paid seat in the company’s software stack.
Claude Tops App Stores

TL;DR: After Anthropic refused a Pentagon arrangement that could enable autonomous weapons and mass surveillance, the dispute sparked heavy media coverage and public support. Claude quickly rose to No. 1 on both Apple’s App Store and Google Play rankings. As downloads surged, Anthropic expanded features like memory and migration tools, turning the controversy into rapid user growth and rising paid subscriptions.
OpenAI Builds Internal Data Agent

TL;DR: OpenAI claims that it revealed an internal AI data agent built by two engineers in three months, with about 70% of the code generated by AI. Used daily by thousands of employees, the tool lets staff query 70,000 datasets and 600 petabytes of company data in plain English through Slack and other tools, returning charts and reports in minutes instead of hours.
ChatGPT Uninstalls Spike After DoD

TL;DR: U.S. mobile app uninstalls of ChatGPT surged 295% day-over-day after news broke that OpenAI had signed a deal with the U.S. Department of Defense. The backlash also appeared in app ratings and downloads, with one-star reviews rising sharply and installs declining, signaling how quickly geopolitical partnerships can reshape public perception of a consumer AI brand.
Instagram Quietly Turns Posts Into Ads

TL;DR: Instagram is testing an AI feature that automatically adds “Shop the look” buttons to posts, recommending similar products based on what appears in an image. In some cases, influencers discovered the links were added without their consent and directed followers to lookalike items rather than the products they promoted, raising concerns about attribution, creator control, and AI-driven commerce.
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