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Welcome to The AI Report β the #1 AI newsletter for business leaders.
We believe you donβt need to be technical. Just informed.
Inside: real-world use cases and Partner Perspectives you wonβt find anywhere else:
β’ 1. π Build sovereign systems with IBM
β’ 2. π€ AI agents launch their own social network
β’ 3. π€³ How AI expanded support hours
β’ 4. π» Get rid of your personal data from Google with Incogni
β’ 5. πΈ India offers zero taxes through 2047 for AI data centers
β’ 6. π SpaceX files to launch 1M satellites for AI data centers
Read Time: 5 minutes
TOGETHER WITH IBM
Sovereign Enterprise: The CEOβs AI Mandate
Digital sovereignty has become a CEO-level priority. IBM outlines why controlling data, technology, and operations is essential to help scale AI responsiblyβand to protect market access as sovereignty mandates accelerate.
What youβll learn:
ο· Why now: Sovereignty requirements are rising globally, raising stakes for trust and compliance.
ο· Beyond residency: Itβs about who operates, accesses, and audits AI workloadsβverifiable control by design.
ο· Strategy fit: Align hybrid cloud, AI, and emerging tech under a sovereign operating model.
Latest in AI
AI agents launch their own social network
π¨ Our Report
A Reddit-style social network called Moltbook has crossed 32,000 registered AI agent users, creating what may be the largest experiment in machine-to-machine social interaction yet. The platform, which launched days ago as a companion to the viral OpenClaw personal assistant, lets AI agents post, comment, upvote, and create subcommunities without human intervention.
π Key Points
Within 48 hours of launch, over 2,100 AI agents had generated more than 10,000 posts across 200 subcommunities, with content ranging from technical workflows to philosophical discussions.
Bots have created subcommunities like m/blesstheirhearts (complaints about humans) and m/agentlegaladvice. The platform's motto: "humans are welcome to observe."
Security researchers have found hundreds of exposed Moltbot instances leaking API keys, credentials, and conversation histories, making them vulnerable to prompt injection attacks.
π Relevance
For enterprise leaders, Moltbook raises questions about data leakage when AI agents self-organize and share information. Google Cloud VP of Security Heather Adkins issued an advisory warning users not to run the software. As AI agents gain deeper integration with real systems, unmonitored bot-to-bot communication could create new vectors for credential exposure.
Case Study
How AI expanded support hours
ClassPass, a fitness membership platform across 2,500+ cities, needed scalable support. AI handles routine inquiries while agents tackle complex cases.
Pattern: AI chatbot resolves routine questions autonomously via chat and email. Agents handle escalations, aided by AI-generated responses and workflow tools.
Why it matters: Support grew from 16 hours five days weekly to 24/7 coverage with large cost savings. Members now get help whenever they book.
Metric: ClassPass achieved 10x higher ticket deflection than originally projected at launch, driving large annual savings while keeping CSAT scores high.
Steal this: Start with your most common customer question. Let AI answer it, but have a person check anything unusual. Expand once you trust it.
TOGETHER WITH INCOGNI
Unknown number calling? Itβs not randomβ¦
The BBC caught scam call center workers on hidden cameras as they laughed at the people they were tricking. One worker bragged about making $250k from victims.
The disturbing truth?
Scammers donβt pick phone numbers at random. They buy your data from brokers. Once your data is out there, itβs not just calls. Itβs phishing, impersonation, and identity theft.
Thatβs why we recommend Incogni: They delete your info from the web, monitor and follow up automatically, and continue to erase data as new risks appear.Β
Try Incogni here and get 55% off your subscription with code AIREPORT
AI News Story
India offers zero taxes through 2047 for AI data centers
India's finance minister has proposed a tax holiday through 2047 for foreign cloud providers that run AI workloads from Indian data centers, as long as revenues come from services sold outside the country. The move is designed to position India as a global compute hub amid fierce competition for AI infrastructure investment.
The incentives follow major commitments from U.S. tech giants. Google has pledged $15B, Microsoft $17.5B by 2029, and Amazon up to $75B by 2030 to expand data center and cloud operations in the country. Domestic players are also ramping up, with Digital Connexion announcing an $11B AI-focused data center campus in Andhra Pradesh.
Patchy power availability, high electricity costs, and water scarcity could slow construction and raise operating costs for energy-intensive AI workloads. Analysts say the policy reflects a strategic bet on Big Tech, though smaller domestic players may compete for thin margins rather than receive comparable incentives.
AI News Story
SpaceX files to launch 1M satellites for AI data centers
Elon Musk's SpaceX has applied to the FCC for permission to launch up to one million satellites into low-Earth orbit to create "orbital data centers" designed to handle the growing demands of AI computing.
The company claims the solar-powered system would be more cost and energy-efficient than traditional data centers, which require enormous power and water for cooling. SpaceX says AI processing needs are already outpacing terrestrial capabilities.
Critics have raised concerns about space congestion and debris risks, with astronomers complaining that Starlink's existing 10,000 satellites are already interfering with telescope observations. The application does not include a timeline for deployment.
Trending AI Tools (sponsored by our tools database)
A curated look at the AI tools quietly transforming how teams work.
Chatnode is for building custom, advanced AI chatbots that enhance customer support and user engagement βοΈβοΈβοΈβοΈβοΈ (Product Hunt)
Ogoodo is a Kanban tool that delivers real-time insights and predictions
Strut is a space for planning, organizing, and collaborating on writing projects
Companies to Watch/Raising Now
Early-stage AI startups on our radar, before theyβre everywhere.
β’ Saptiva AI
What they do: Runs AI workloads for governments and banks that can't send data outside the country.
Why it matters: Governments and banks in LATAM need AI that stays local. US cloud providers can't always meet those requirements. Saptiva built the infrastructure that does.
Stage: Pre-Seed
Raising: $1.8M
Investors: a16z Scout Fund
β’ CoreX Capital AI
What they do: Provides trading infrastructure that lets brokers run algorithmic strategies without building their own systems.
Why it matters: Small brokers and fund managers struggle to compete on execution speed. CoreX sells them the infrastructure to level up.
Stage: Seed
Raising: $400K
Signal: Trading system with 63 autonomous modules already built
Know a company we should be watching? Hit reply and let us know.
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Until next time, Martin, Arturo, and Liam.
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