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🔵 TOP AI + MARKETING NEWS

Transforming marketing with AI
BCG | 6-minute read
BCG argues that AI will reshape marketing by changing how decisions get made, not just how fast assets get produced. The shift is from campaigns to systems: dynamic segmentation, always-on testing, and creative personalization that updates itself.
My take: The real power of AI is not “make more content.” It's “make fewer, smarter decisions.” Most teams are still catching up to that idea.

Chime’s Vineet Mehra on brand-building in the AI era
OpenAI | 5-minute read
Chime’s CMO shares how they’re using AI to scale emotional storytelling, creative testing, and personalization across channels. The goal isn’t to replace human creativity but to free up space for it.
My take: Love this interview! It actually treats brand as a craft. Helpful framing for teams trying to stay human while scaling.

If the AI bubble bursts, marketing could take the first hit
MarTech | 4-minute read
Marketing is often the first function to adopt new tech and the first to lose budget when optimism fades. The article warns that hype without measurable outcomes will trigger cuts.
My take: This is the “show receipts” era. If AI work doesn’t ladder to revenue or retention, it’s just a slide in a deck.

Marketers: stop anthropomorphizing AI
CMSWire | 4-minute read
The article argues marketers project personality onto AI models instead of understanding how they actually work, which leads to unrealistic expectations and bad briefs. Treat the model like a tool, not a team member.
My take: “Our AI knows our brand” is wishful thinking. It knows patterns, not taste. That’s still our job as marketers and brand strategists - yay!

Five ways AI is changing influencer and affiliate strategy
MarTech | 5-minute read
Affiliate and creator performance is shifting as algorithms increasingly determine who gets surfaced, not follower counts. AI is driving micro-influence and niche recommendation ecosystems.
My take: Influence is now distributed, not centralized. The new “influencer” is whoever the algorithm thinks is credible at that moment.

Getting human-driven, AI-assisted marketing right
Adweek | 4-minute read
The strongest results come from pairing human insight with AI scale, instead of trying to automate the creative process end-to-end. Teams are reorganizing around hybrid workflows.
My take: Hybrid is the only model that works. AI drafts. Humans make it make sense.

Stats to know: Retail media, AI, and TikTok Shop
Marketing Week | 4-minute read
A new data roundup shows retail media budgets keep rising, TikTok Shop continues to drive impulse buying, and AI is reshaping measurement expectations.
My take: The funnel is now: Entertain. Inspire. Buy. Traditional attribution has no idea what to do with that.

What to know about AI browsers (ChatGPT + Perplexity)
MarTech | 5-minute read
AI browsers are mediating search results, brand visibility, and product recommendations. Brands need schemas, structured data, and clear category positioning to show up.
My take: SEO is shifting from keywords to identity. If you can’t answer “what are we known for,” the browser won’t either.

AI is your key to better market research and planning
MarTech | 4-minute read
AI is quietly improving qualitative research synthesis, persona refinement, and trend forecasting more than flashy creative use cases. The value is in pattern detection.
My take: AI is basically a research assistant with no ego. Use it for thinking, not just output.

Gamma raises funding to build AI-native brand tools
The New York Times | 5-minute read
Gamma secured major funding to build AI-first creation and communication tools aimed at teams producing decks, campaigns, and brand narratives. Investors see this as a new productivity category.
My take: I love Gamma tbh! I used it to create my last LinkedIn listicle image This is an actual tool that is game-changer for marketers. Congrats Gamma team!

Why authenticity still wins in AI-heavy social feeds
Observer | 4-minute read
As AI content floods feeds, low-production, personal-feeling posts are outperforming polished brand assets. Audiences are calibrating quickly to spot “synthetic shine.”
My take: The more AI content we see, the more human mess starts to feel luxurious.

AI shapes Black Friday: Amazon experiments with personalized deal surfacing
Fast Company | 4-minute read
Amazon is using AI to reshuffle deals in real time based on browsing and predicted preferences. The sale becomes individualized instead of one-size-fits-all.
My take: If every shopper sees a different store, brand recognition becomes behavioral, not visual.

How Corona Cero mixed AI and human insight for Olympic storytelling
Marketing Dive | 4-minute read
Corona combined AI audience research with on-the-ground cultural insights to identify a more emotionally resonant Olympic campaign direction. AI helped narrow; humans deepened.
My take: AI surfaces possibilities. People choose meaning. Both matter.

How AI is reshaping agency strategy and storytelling
Fast Company | 6-minute read
Agencies are reorganizing around AI-first creative pipelines, real-time optimization, and experimental brand narratives. The pitch process itself is changing.
My take: Agencies that survive this shift will be the ones that treat AI as a collaborator, not a threat.

🟣 LINKEDIN POSTS YOU SHOULDN’T MISS

Steve Nouri - “McKinsey report: AI in 2025, hype vs reality”
Steve highlights the newest McKinsey report and that while 88 % of companies now use AI, most are still stuck in pilots, only 23 % have scaled AI in any function and just 39 % report enterprise‑level impact. He argues that true ROI requires redesigning workflows and putting CEOs at the center of AI.
See Post

Hootsuite (Rachel Karten) – “The Shareability Test: A Framework for Marketers”
Hootsuite notes that shares—more than likes or comments—signal true advocacy and can move audiences from awareness to consideration faster than paid impressions. The company partnered with social‑media expert Rachel Karten to create a “Shareability Test,” helping marketers evaluate whether their content is truly worth it.
See Post

MJ Jaindl – “How to Write Great ChatGPT Prompts for Better Results”
MJ claims most people prompt ChatGPT incorrectly; he shares a framework (Role → Goal → Context → Output) and other strategies like iterative refinement, the expert triangle, and show‑don’t‑tell examples. He warns that bad prompts waste time while good prompts can deliver 10× better.
See Post

Alex Greenshpun – “How to manage AI chat memory: 11 tips”
Greenshpun explains that current AI chat “memory” is limited to a finite context window, so long conversations quickly lose earlier details. She offers 11 tips—such as summarising chats, activating only relevant info and periodically clearing old data—to help users manage this pseudo‑memory and get better responses.
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