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Friday, March 13, 2026  ·  6 stories

AI Prepared Daily

The morning briefing for marketing & data professionals.

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

Your Executive Summary

  • Zendesk Acquires Forethought for Self-Improving AI AgentsEnterprise software is consolidating AI capabilities rapidly; expect your customer service vendors to add agentic resolution features that can autonomously execute multi-step workflows without manual retraining.
  • IAB Tech Lab Launches CoMP Protocol for AI Content PaymentMarketing data pros should prepare for a new data licensing landscape where AI platforms must negotiate terms before accessing content—this could reshape how first-party content generates value.
  • Replit Raises $400M at $9B Valuation for AI App BuildingMarketing teams can now prototype apps, dashboards, and internal tools without waiting for engineering resources—democratized app development is becoming table stakes for data-savvy marketers.
  • Mind Robotics Raises $500M to Bring AI Into Factory FloorsPhysical AI is moving from demos to deployment—data teams should expect new use cases around industrial IoT, computer vision data pipelines, and real-time inference at the edge.
  • Ayar Labs Closes $500M to Scale Optical Interconnects for AIAs AI workloads scale, data infrastructure bottlenecks shift to interconnects—optical networking will power the next generation of training and inference clusters that handle enterprise data pipelines.
  • Anthropic Hits $14B Revenue Run Rate After $30B Series GClaude's enterprise penetration signals that AI coding and knowledge work tools are moving from pilots to production—marketing data teams should evaluate Claude Code for analytics automation and pipeline development.

AI/LLM  ·  TechCrunch

Zendesk Acquires Forethought for Self-Improving AI Agents

Zendesk announced a definitive agreement to acquire Forethought, the 2018 TechCrunch Battlefield winner that pioneered AI customer service automation. The deal positions Zendesk to lead in agentic AI for customer service, with the company claiming its AI agents already resolve over 80% of interactions and expecting AI to handle more service interactions than humans this year.

The bottom line: Enterprise software is consolidating AI capabilities rapidly; expect your customer service vendors to add agentic resolution features that can autonomously execute multi-step workflows without manual retraining.

Check out the full article →

MarTech/AdTech  ·  IAB Tech Lab

IAB Tech Lab Launches CoMP Protocol for AI Content Payment

IAB Tech Lab released the Content Monetization Protocol (CoMP) Specification v1.0, establishing standardized payment rails for AI systems using publisher content. The framework aims to create commercial agreements before any LLM crawling occurs, addressing traffic declines exceeding 50% for some publishers from AI-driven search changes.

The bottom line: Marketing data pros should prepare for a new data licensing landscape where AI platforms must negotiate terms before accessing content—this could reshape how first-party content generates value.

Check out the full article →

Emerging Tools  ·  TechCrunch

Replit Raises $400M at $9B Valuation for AI App Building

Replit closed a $400 million Series D led by Georgian, tripling its valuation to $9 billion in just six months. The platform now serves 85% of Fortune 500 companies and targets $1B ARR by year-end with Agent 4, which lets non-technical users build production apps through conversational prompts and visual canvases.

The bottom line: Marketing teams can now prototype apps, dashboards, and internal tools without waiting for engineering resources—democratized app development is becoming table stakes for data-savvy marketers.

Check out the full article →

Data Engineering  ·  Ayar Labs

Ayar Labs Closes $500M to Scale Optical Interconnects for AI

Co-packaged optics startup Ayar Labs raised $500 million in Series E funding backed by Nvidia, AMD, and MediaTek at a $3.75 billion valuation. The company's TeraPHY optical engines replace bandwidth-limited copper with optical connectivity, enabling thousands of GPUs to operate as unified systems while using a fraction of the power.

The bottom line: As AI workloads scale, data infrastructure bottlenecks shift to interconnects—optical networking will power the next generation of training and inference clusters that handle enterprise data pipelines.

Check out the full article →

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