🎯 AI Picks Influencers Now
Hi, Marketers!
Marketing didn’t evolve — it overfit.
AI Picks Influencers Now
TL;DR: Digiday reports that agencies are increasingly using AI systems to automate influencer discovery and selection, turning what was once intuition-driven casting into a data-driven process. Tools like Dentsu’s CATS analyze trends, engagement, and performance to recommend creators at scale, enabling brands to work with far more influencers. Human judgment remains for top-tier talent, but most campaigns are becoming algorithmically managed.
Pinterest Pushes Performance Ads
TL;DR: Pinterest is reportedly restructuring its ads business around measurement to prove performance and attract more small and mid-sized advertisers. By aligning product, engineering, and data under new leadership, the platform aims to make ad results clearer and more repeatable, expanding beyond branding use cases and increasing SMB revenue share from its current 15%.
AI Marketing Turns Spammy
TL;DR: Ben Cera, founder of Polsia, admitted that his fully AI-driven company platform triggered a wave of outbound spam as thousands of users deployed identical growth strategies at scale. Once effective, high-signal outreach quickly degraded into noise as AI templates hardened. Polsia subsequently introduced strict rate limits, exposing a core flaw of AI GTM: when execution scales universally, so-called AI-driven best practices break down.
Marketing Built, Marketing Broke
TL;DR: Allbirds fell from a $4.1 billion IPO peak in 2021 to a $39 million acquisition in 2026, erasing 99% of its value. Fueled by over $500 million in funding and positioned as a “tech-enabled” DTC brand that used a strong "Obama" narrative, it failed to sustain growth as revenues declined and losses mounted. The brand lost its scarcity, product innovation lagged, and storytelling outpaced reality. Without a second growth engine beyond narrative, the company is now being absorbed into a discount-focused brand portfolio, marking a full reversion to traditional retail economics.
Claude Audits Google Ads
TL;DR: A marketer released a Claude Cowork skill that audits entire Google Ads accounts in under five minutes using MCP-connected live data. With one prompt, it generates a health score, wasted spend breakdown, and prioritized fixes, replacing manual analysis workflows and tools like Ahrefs, which cost $500/month, and is being shared free as a downloadable skill file.
Legal Blow, Minimal Impact
TL;DR: Courts in New Mexico and California ruled against Meta and YouTube for harming young users through addictive design, awarding hundreds of millions in damages. Despite headlines, advertisers are not pulling budgets, and immediate market impact appears limited. However, legal momentum is building, with similar lawsuits likely to follow, potentially forcing long-term platform design changes around addictive feeds.
Lego Rebuilds Commerce Model
TL;DR: Adweek reports that Lego is restructuring its operations through an in-house agency to unify brand, commerce, and retail into a single connected system. Led by VP Jennifer Berry, the shift focuses on seamless consumer experiences across channels, recognizing that customers don’t think in silos. AI is used to streamline execution, allowing teams to prioritize higher-impact creative work.
E.l.f. Uses AI for Workflows
TL;DR: Digiday reports that E.l.f. Beauty, a digital-native cosmetics brand, is using AI across its business to reduce employee workload, focusing on automating repetitive tasks in marketing and operations. As the company experiments with different use cases, it is also defining where AI should and should not be applied, establishing internal guidelines while integrating AI into daily workflows.
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