For the Quietly Confident

AI is moving fast right now, and some of the most interesting work in content marketing is happening quietly. Not in the keynote decks. Not in the viral LinkedIn posts. In the actual day-to-day of people testing things, breaking things, and figuring out what's worth keeping.

That's the conversation I want to have with you this month.

Once a month, I host a small Zoom room called the Advanced AI for Content Marketing Meetup. It's where content marketers come together to share what's actually working, compare notes on new tools and models, walk through live demos, and ask the questions that are hard to ask anywhere else. Some folks are deep into agentic workflows. Some are building AI-powered client deliverables. Some are still finding their footing with the latest models. All of them are welcome, and all of them make the room smarter.

What I love about this group is how generous it is. People bring their real wins, their real workarounds, and their real questions, and everyone leaves with something they can use on Monday morning.

If you're doing this work, or want to be, I'd love to have you join us.

Friday, April 17, 9:00–10:00 AM PT, on Zoom.

Bring your curiosity and a question or two. That's where the best conversations always start.

RSVP here - Hope to see you there!

🔥 This Week's Hot Takes: AI Marketing Edition

From Segments to Customer Companions: A Step-by-Step AI-Powered STP Process (Lisa Peyton) I recently ran a full AI-powered STP for a client covering segmentation, targeting, positioning, and live AI personas for each segment, start to finish in about an hour and fifteen minutes.

Content Marketing in 2026: AI Saturation, Zero-Click Search, and What's Still Working (eMarketer) YouTube overtook Reddit as the top-cited source in AI-generated answers in early 2026, as models prioritize transcripts, metadata, and explanatory formats.

Brands vs. Bots: CMOs and Ad Agencies on Marketing to AI (Fast Company) Big brands are navigating the hype-filled world of generative engine optimization (GEO), trying to get noticed by ChatGPT, Claude, and Gemini. "The fight isn't for position one anymore," said one media executive. "It's for contextual inclusion inside the model's response."

Sam Altman's Superintelligence New Deal (Axios) OpenAI CEO Sam Altman told Axios that AI superintelligence is so close, so mind-bending, and so disruptive that America needs a new social contract, on the scale of the Progressive Era in the early 1900s and the New Deal during the Great Depression.

Anthropic Project Glasswing: Securing Critical Software for the AI Era (Anthropic) Anthropic has announced Project Glasswing, bringing together AWS, Apple, Broadcom, Cisco, CrowdStrike, Google, JPMorganChase, the Linux Foundation, Microsoft, NVIDIA, and Palo Alto Networks to secure the world's most critical software.

Google's Gmail Upgrade Decision: 2 Billion Users Must Act Now (Forbes) Google's Gemini integration into Gmail raises clear privacy trade-offs around having cloud-based AI compose, reply, summarize, and smart search through inboxes that likely contain private, sensitive, and confidential data.

The AI CMO: Growth Accountability Gets Next-Level (Forrester) Forrester's new report argues that AI doesn't signal the end of the CMO role. It creates an opportunity for CMOs to step into a new level of growth accountability, one that many have been pushing toward for years.

Canva Acquires Simtheory and Ortto, Pushes Into Agentic AI and Marketing Automation (CMSWire) Canva's dual acquisition signals a push beyond design into agentic AI workflows and full-stack marketing automation.

How Meta's AI Push Is Changing Ad Creation (Marketing Brew) Mark Zuckerberg has laid out a vision where advertising on Meta's platforms will one day be as simple as inputting a credit card number and a business goal, with AI handling the rest. The company has reportedly said that day could come as soon as the end of 2026. But media buyers and marketers say it's likely much further off, and reviews of the latest AI tools are mixed.

OpenAI's Industrial Policy for the Intelligence Age (OpenAI) OpenAI's 13-page document, "Industrial Policy for the Intelligence Age: Ideas to Keep People First," is designed as a conversation starter but also an attempt to define the agenda before governments do.

🧪 The Alchemist's Lab: Tools I've Been Testing

Netflix VOID Try the demo on Hugging Face

Netflix just released VOID as its first public open-source model, and it's genuinely interesting. It's a video object removal tool: you mark an unwanted element in a clip and VOID removes it, then fills the background naturally using the surrounding visual context.

For marketers, the immediate use case is cleaning up branded video content without reshoots. Remove a stray logo, a cluttered background element, or a distracting prop. The output looks native, not patched. Early tests show strong performance on static or slow-moving backgrounds; complex motion scenes are trickier.

Pricing: Open-source and free to test via Hugging Face. Production deployment costs depend on your infrastructure.

🎓 AI Marketing Master Class Moment

Marc Andreessen: Death of the Browser, Pi + OpenClaw, and Why "This Time Is Different" Watch on YouTube

Marc Andreessen unpacks why the current AI moment is categorically different from previous technology cycles, with a focus on the structural shift away from browser-based computing and toward AI-native interfaces. The discussion touches on new model releases and what they suggest about where the interface layer of the internet is heading.

For content marketers, the most practical thread here is the browser conversation. If browser-based search is losing its grip as the primary discovery channel, the places where your content lives and how it gets surfaced to AI systems matter more than keyword rankings.

🥊 Battle of the Week: Full AI Ad Automation vs. Human-Controlled Campaigns

The setup: Meta says full AI automation could arrive by end of 2026. Advantage+ campaigns already account for 60-70% of some agencies' Meta spending.

The case for full automation: Andromeda's new ad retrieval system reportedly produced a 14% improvement in ad quality on Facebook. Broader data pools mean better optimization signals. Speed and volume at a scale no human team can match.

The case for keeping humans in the loop: Most clients want to retain control because they put time and effort into crafting what their brand is. Marketers say they haven't yet come across a client that said, "You go for it." Brand voice, legal risk on AI-generated creative, and the "black box" problem with targeting all require human oversight that algorithms can't replicate.

My verdict: Full AI ad automation by end of 2026 is a headline, not a reality. The smarter frame is this: AI should handle the scale and iteration. Humans should handle the brief, the brand guardrails, and the call on what gets tested. The agencies learning to build that workflow now will be the ones whose clients stay.

Before You Go: Hit reply and tell me, what's your biggest AI marketing challenge right now? I read every response and it helps shape future newsletters.

That's a wrap on this week's AI marketing alchemy. Keep experimenting, keep transforming, and remember: the real magic happens when AI efficiency meets human judgment, not when one replaces the other.

Crafted with passion (and a dash of AI alchemy) by Lisa Peyton | AI Practitioner, Professor, and Pioneer

Let's connect: https://linktr.ee/lisapeyton

If you want a single place to find practical AI help for your marketing work, I put together a hub of resources that can support you at every stage. Take a look here for tools and learning that can help sharpen your AI marketing practice: https://lisapeyton.com/ai-marketing-resources/