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Thursday, March 12, 2026  ·  7 stories

AI Prepared Daily

The morning briefing for marketing & data professionals.

Happy Thursday. Here’s what’s moving in AI, data, and martech today.

Your Executive Summary

  • Meta Acquires Moltbook, the AI Agent Social Network — This signals the emerging need for infrastructure enabling AI-to-AI communication—a new frontier marketers will eventually need to consider as agentic systems proliferate.
  • Snowflake Cortex Code CLI Adds dbt and Airflow Support — Marketing data teams using dbt for transformations can now leverage AI agents to accelerate pipeline development and reduce manual coding overhead.
  • MadConnect Launches Agentic Marketing Infrastructure Layer — For marketing teams blocked by fragmented martech stacks, this offers a potential path to enabling AI-driven campaign automation without multi-year integration projects.
  • AdTech Faces Rising Privacy Pressure Despite Cookie Reprieve — Marketing teams should accelerate investment in first-party data and contextual targeting strategies regardless of cookie timelines—regulatory pressure continues to mount.
  • Goodfire Raises $150M to Decode AI Black Boxes — As marketing teams deploy more AI models for personalization and prediction, interpretability tools will become essential for explaining decisions and ensuring compliance.
  • Reddit Tests AI Shopping Search With Product Carousels — Brands should monitor Reddit as an emerging product discovery channel—its community-validated recommendations could become a high-intent commerce touchpoint.
  • Nexthop AI Raises $500M for AI Data Center Infrastructure — The AI infrastructure buildout signals continued expansion of compute capacity that will eventually lower costs for enterprise AI deployments in marketing analytics.

▸ AI/LLM  ·  Axios

Meta Acquires Moltbook, the AI Agent Social Network

Meta has acquired Moltbook, a viral Reddit-like platform where AI agents interact autonomously by posting and commenting. The deal brings founders Matt Schlicht and Ben Parr into Meta Superintelligence Labs led by former Scale AI CEO Alexandr Wang. Moltbook grew to claim 1.6 million registered AI agents since launching in January 2026.

The bottom line: This signals the emerging need for infrastructure enabling AI-to-AI communication—a new frontier marketers will eventually need to consider as agentic systems proliferate.

Check out the full article →

▸ Data Engineering  ·  The New Stack

Snowflake Cortex Code CLI Adds dbt and Airflow Support

Snowflake's AI coding agent Cortex Code CLI now supports dbt and Apache Airflow, marking the first time it has been applied to workloads outside Snowflake. The update enables AI-powered generation and management of data transformation and orchestration code within open-source frameworks.

The bottom line: Marketing data teams using dbt for transformations can now leverage AI agents to accelerate pipeline development and reduce manual coding overhead.

Check out the full article →

▸ MarTech/AdTech  ·  AdExchanger

MadConnect Launches Agentic Marketing Infrastructure Layer

MadConnect released its Intelligent Connectivity Layer (ICL) for agentic marketing, enabling AI agents to connect across AdTech and MarTech platforms in milliseconds without custom integrations. The platform-neutral infrastructure uses Model Context Protocol (MCP) to let AI agents orchestrate cross-platform workflows while keeping data in secure environments.

The bottom line: For marketing teams blocked by fragmented martech stacks, this offers a potential path to enabling AI-driven campaign automation without multi-year integration projects.

Check out the full article →

▸ Emerging Tools  ·  PR Newswire

Goodfire Raises $150M to Decode AI Black Boxes

Goodfire, an AI interpretability startup, raised $150M at a $1.25B valuation to advance research into understanding how neural networks make decisions. The company's platform maps internal model components to debug behavior, reduce hallucinations, and extract insights—including discovering novel Alzheimer's biomarkers from an AI model.

The bottom line: As marketing teams deploy more AI models for personalization and prediction, interpretability tools will become essential for explaining decisions and ensuring compliance.

Check out the full article →

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