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Your weekly guide on everything AI marketing. Covering everything from AI marketing news, tips, deep dives, events, podcasts, jobs and much more. Never miss a beat with our 5-minute newsletter.
In today’s email:
Open Claw founder explains why 80% apps will no longer exist
Amazon explores a marketplace for licensing publisher content to AI builders
Snap and Gucci test whether luxury audiences will play with AI
Plus: Microsoft’s Mustafa Suleyman predicts AI hits most white collar tasks inside 18 months, AI startups turn to ever bigger stunts as the noise gets louder, and build an ROI calculator with Lovable in minutes
The top 3 stories
1. Amazon reportedly plans an AI content marketplace for publishers
Amazon is discussing an AI content marketplace that would let publishers sell content to companies building AI products. The reporting suggests it could sit alongside AWS AI tooling, making it easier to licence content at scale. This is the grown-up version of “scrape now, apologise later”. Publishers have been pushing for clearer rules and compensation, and this is a sign the negotiation is moving into product form.
Why it matters: If content licensing becomes a marketplace, marketers may get cleaner, more legitimate training and enrichment sources. It also sets expectations for what “paying for data” looks like in the AI era. 📰 Reuters
2. Startup marketing stunts turn extreme as AI space saturates
With over 90,000 AI startups globally and huge funding fuelling attention scarcity, some firms are resorting to increasingly theatrical marketing to break through the noise, from cowboy performances to dramatic public antics. The Guardian mapped the pattern across several US companies and framed it as a symptom of a market where differentiation is getting harder. When everyone claims breakthrough technology, spectacle becomes the shortcut. The risk is that attention arrives faster than credibility.
Why it matters: Extreme stunts can generate reach but they can also dilute trust and distract from product value. As competition tightens, marketers must balance memorability with authority. 📰 The Guardian
3. Snap and Gucci launch a Sponsored AI Lens for luxury
Snap partnered with Gucci on its first Sponsored AI Lens for a luxury fashion campaign. This is not “try a filter” marketing, it is AI-assisted interaction designed to keep users in an experience longer. Snap is positioning AI Lenses as premium brand storytelling, not just novelty. Luxury turning up here is the signal that AR is becoming more measurable and more brand-safe.
Why it matters: Interactive ad units are creeping up the funnel and stealing budget from static creative. If your creative team cannot design for participation, you will start losing share of attention. 📰 Media Post
One major reason AI adoption stalls? Training.
AI implementation often goes sideways due to unclear goals and a lack of a clear framework. This AI Training Checklist from You.com pinpoints common pitfalls and guides you to build a capable, confident team that can make the most out of your AI investment.
What you'll get:
Key steps for building a successful AI training program
Guidance on overcoming employee resistance and fostering adoption
A structured worksheet to monitor progress and share across your organization
More trending AI marketing news from last week
LinkedIn launched new AI features for recruiters and B2B outreach.
Mashable explains who owns AI.com and how the Super Bowl ad attempted to turn a curiosity spike into customers.
X introduced BrandRanx, a live AI tracker ranking which Super Bowl ads won the internet in real time.
London Business School researchers say consumers are bypassing traditional search and going straight to generative answers.
OpenAI are testing ads in ChatGPT’s free tiers, accelerating the arrival of paid visibility inside assistants.
Quote of the week
I think that we’re going to have a human-level performance on most, if not all, professional tasks … white-collar work, where you’re sitting down at a computer, … most of those tasks will be fully automated by an AI within the next 12 to 18 months."
Trending AI tools for marketers
Here are 4 trending tools to explore this week. Quick, practical upgrades to your AI marketing arsenal:
🖥️ happycapy – A new “agent-native computer” concept that frames AI as an operating layer, not an app.
📣 SuperX – A growth OS for creators that bundles planning, publishing and optimisation in one place.
🎯 Starnus – Find and reach your next customers on autopilot, built for outbound and prospecting workflows.
📩 Migma AI – Email production that turns briefs into campaigns without the usual copy paste chaos.
TV, podcasts & streaming
Y Combinator - OpenClaw founder: why 80% of Apps will disappear
A fast, builder-led interview on why agentic software feels different to “chat with a bot”. The OpenClaw founder talks through how agents collapse multiple tools into a single command surface and why that threatens traditional app experiences - watch it here.
AI training
Build an interactive ROI calculator with Lovable
The overview: With Lovable, you can create a live calculator prospects can use to estimate value from your product. The result is a conversion asset that supports sales, paid campaigns and outbound instantly.
Step-by-step:
Define the value equation
Open Lovable and describe the outcome you want users to calculate, including the inputs they will provide and the metric they receive.Create the input fields
Ask the tool to create fields for key variables such as volume, conversion rate, cost per action or time saved.Make the maths understandable
Generate the results logic and request simple, plain-English explanations next to each number so users understand the calculation.Gate the results
Add a results screen that captures email before revealing a downloadable summary or shareable output.Brand and pressure test
Apply your brand styling and publish the page, then test the calculator with real scenarios from your pipeline.
Pro tip: Save the framework and duplicate it for different industries or personas to multiply relevance without rebuilding.
The weekly deep dive
OpenClaw and the arrival of usable agents
Autonomous agents moved from theory to practical conversation this week. OpenClaw is at the centre of it.
From demo to delegation
The project captured attention because it can operate a real machine rather than chat about possibilities. People watched it clear inboxes, move files and complete multi step tasks. That behaviour feels closer to employment than assistance. Expectations changed overnight.
Why builders are excited
Open distribution means anyone can fork, modify and adapt the agent to niche workflows. Communities are already trading improvements and safety ideas. Momentum compounds quickly in environments like that. Corporate labs do not have a monopoly on iteration.
Why operators are nervous
Granting software broad access introduces obvious governance questions. Security teams worry about permissions, data leakage and accountability. The more capable the agent becomes, the sharper those questions get. Adoption may hinge on control layers rather than intelligence.
Our takeaway: Marketers should prepare for a world where tools execute, not just suggest. Competitive advantage will sit in orchestration and oversight.
📖 Read the full article at Fortune
That’s it today!
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