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Wednesday, March 4, 2026  ·  8 stories

AI Prepared Daily

The morning briefing for marketing & data professionals.

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

Your Executive Summary

  • Claude Surpasses ChatGPT in Downloads After Pentagon Standoff — Marketing teams evaluating AI tools should note shifting consumer sentiment around AI ethics—brand positioning on AI governance now directly impacts market share.
  • Anthropic Drops Memory Paywall, Launches ChatGPT Import Tool — Data portability between AI assistants is now a competitive differentiator—expect marketing workflows built on one AI platform to become more transferable.
  • Criteo Named First Ad Tech Partner for ChatGPT Ads Pilot — LLM-based ad environments represent a new frontier—marketing teams should start testing conversational ad formats now before the channel matures.
  • Google Launches No-Code Scenario Planner for Meridian MMM — Budget allocation decisions are becoming more data-informed at the marketer level—teams using tools like Scenario Planner will have structural advantages over spreadsheet-based planning.
  • dbt Adds Python UDFs in Fusion Engine for Snowflake and BigQuery — Marketing data teams can now embed Python transformations directly in dbt workflows, enabling more sophisticated ML feature engineering without leaving the analytics stack.
  • Snowflake Adds Explicit dbt Core Version Pinning — Version control for dbt workflows reduces environment instability—critical for marketing data pipelines where model drift can impact attribution and reporting.
  • AI Inference Startup Inferact Raises $150M at $800M Valuation — Faster inference means AI-powered marketing tools (personalization, bidding, creative generation) can operate with lower latency—watch for vendors integrating these optimization layers.
  • 2026 NewFronts Move to March, Focus on AI-Powered CTV Measurement — Video budget planning now starts earlier—teams waiting until Q2 for CTV strategy are already behind as streaming becomes a measurable performance channel.

▸ AI/LLM  ·  Axios

Claude Surpasses ChatGPT in Downloads After Pentagon Standoff

Anthropic's Claude became the #1 app in US downloads after refusing Pentagon demands to loosen AI safeguards for military use. The Trump administration labeled Claude a supply chain risk and blacklisted it from government use, but consumer backlash against OpenAI's Pentagon deal drove a 60% spike in Claude's free-tier signups.

The bottom line: Marketing teams evaluating AI tools should note shifting consumer sentiment around AI ethics—brand positioning on AI governance now directly impacts market share.

Check out the full article →

▸ MarTech/AdTech  ·  Digiday

Criteo Named First Ad Tech Partner for ChatGPT Ads Pilot

Criteo confirmed it is the first ad tech partner integrating with OpenAI's US advertising pilot in ChatGPT's free and Go tiers. Marketers can now tap Criteo's commerce data and activation tools within conversational AI interfaces, extending reach beyond traditional retailer sites.

The bottom line: LLM-based ad environments represent a new frontier—marketing teams should start testing conversational ad formats now before the channel matures.

Check out the full article →

▸ Data Engineering  ·  dbt Developer Hub

dbt Adds Python UDFs in Fusion Engine for Snowflake and BigQuery

dbt released Python UDF support in its Fusion engine for Snowflake and BigQuery users, alongside Advanced CI capabilities and a new dbt-Salesforce adapter in beta. The update also includes Cost Insights in private beta for tracking warehouse compute costs directly in the platform.

The bottom line: Marketing data teams can now embed Python transformations directly in dbt workflows, enabling more sophisticated ML feature engineering without leaving the analytics stack.

Check out the full article →

▸ Emerging Tools  ·  AIB Magazine

AI Inference Startup Inferact Raises $150M at $800M Valuation

Inferact secured $150 million in seed funding co-led by Andreessen Horowitz for its AI inference acceleration platform. The startup focuses on optimizing and scaling how AI models generate outputs, addressing bottlenecks that limit real-time AI deployment across industries.

The bottom line: Faster inference means AI-powered marketing tools (personalization, bidding, creative generation) can operate with lower latency—watch for vendors integrating these optimization layers.

Check out the full article →

In Other News

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