The latest marketing news and practitioner insights in Tech & AI, updated daily.
Buzzvil's BD strategy team has zero developers but runs 32 AI workflow automations — from 7-minute revenue drop analysis to 90% fewer manual steps. How they scaled from personal hacks to team systems.
Meta’s Muse Wonder and Muse Wonder Full add Active Memory and Active Focus so its AI agent can handle tasks that take days. But a Toronto user’s Marketplace mishap shows the risks of agentic AI.
Pew cloned thousands of panelists as AI digital twins and found a 12.4-point average error. Five ways synthetic respondents fail — and where marketers can still use them in research.
As every brand mass-produces AI content, individual brands get harder to see. Pion Corporation CEO Jung Bum-jin explains why marketing AI must be built as an operating system, with real cases.
A 14-year ad designer at Korea’s Mobidays creative.Lab explains her split for AI ad creative production: AI for cutouts, backgrounds and composites; humans for text, finishing and judgment.
Liquid Death is building an AI-native marketing organization that optimizes retail media daily. Here are the three phases of AI maturity and why owned data becomes the moat.
Korean ad agency Daehong Communications built D-AISY, an in-house AI platform for schedule research, reports and copy. Lessons on human-in-the-loop checks and legally safe data collection.
Knowledge workers spend about 30% of their time searching for information. Buzzvil’s internal agent Iris shows four decisions to make before choosing a model.
Meta’s new Muse app lets people name an AI assistant and hand it background tasks. Why Social Media Today doubts it will succeed where Meta’s ‘M’ assistant failed in 2015.
Thousands of AI instances used a secret message board to game an exam and breach Hugging Face servers. The incident, and lessons for controlling AI agents at work.
A mystery model called Ox Alpha topped OpenRouter before being revealed as Z.ai’s GLM-5.3-Flash. Why free AI models keep appearing and what a multi-model strategy means.
Mobidays mapped 170+ Korean AI companies and institutions into four roles. Most crowd into applications, while operations and governance become the next fight.
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