What Amazon’s New AI Ad Tool Means for Small Biz
Hey there,
The AI world never sleeps, does it? Just when you think you’ve got a handle on everything, three new developments pop up that completely change the game.
This week brought some fascinating updates that I think you’ll find pretty interesting. From Amazon making ad creation ridiculously simple to researchers predicting health issues years in advance, we’re seeing AI move into some seriously practical territory.
Let me walk you through what caught my attention and why it matters for your business.
This Week’s Insights
Amazon’s New AI Ad Creator Changes Everything
Amazon just rolled out an AI chatbot that creates ads from simple text prompts. Feed it your product info, and it spits out everything from static images to full video scripts with voiceovers and music. “The new agentic AI tool is powered by Amazon’s extensive retail insights which enable an in-depth understanding of the advertiser’s brand and products, including what features make a product stand out. By combining customer shopper signals with information from the advertiser’s product pages, Brand Store, and website, the tool generates ideas that truly bring a brand to life and designs ad creative that will resonate most with customers.”
Why this matters: You can now create professional-grade marketing materials in minutes, not weeks. This levels the playing field in a big way.
The best part? It pulls from your existing brand information, so the output is designed to feel like your business, not some generic template. Does it really? We haven’t tested it yet and we’ll report back. If you test it out, let us know!
Just reply to the email and let us know what you think. As marketers, we have a skilled discernment that AI doesn’t always capture. As one of the worlds largest retailers, Amazon’s data is likely to do a really good job at this.
AI Can Predict Future Health Risks
Researchers have created an AI model, Delphi-2M, that can predict a person’s health problems more than a decade into the future by analyzing patterns in medical records. This technology, similar to the models that power chatbots, can forecast the likelihood of over 1,000 different diseases. While it’s still in the research phase, the vision is to use it to identify high-risk patients for preventative care and help hospitals plan for future demands.
My take: While this might not be a direct business tool, it’s a perfect example of AI’s broader impact. For businesses in healthcare, insurance, or wellness, this kind of predictive power could reshape everything. Imagine an insurance company using this to offer personalized wellness plans to high-risk clients, or a hospital using it to proactively allocate resources. This isn’t just about efficiency; it’s about a fundamental shift in how we approach proactive care. The implications for society are huge, and it’s something every business leader should be watching.
Healthcare advance: Tempus wins FDA clearance for upgraded cardiac MRI AI
What happened: Tempus received FDA Special 510(k) clearance for an updated version of its Pixel platform, adding inline T1/T2 mapping to support more precise cardiac MRI analysis. Tempus
Why it matters for business: Health systems and imaging centers can expand reimbursable advanced cardiac imaging without swapping scanners, which can translate to higher throughput, more accurate reads, and better care pathways—practical ROI for radiology service lines.
My take: This is the kind of incremental, high-signal clinical AI that gets adopted: it slots into existing MRI workflows and improves quantification. If you need to go to a cardiologist, wouldn’t you want the fastest, most accurate care?
From MIT-IBM: a practical guide to smarter LLM training budgets
What happened: MIT-IBM Watson AI Lab researchers published a new method for building “scaling laws” that estimate how a larger LLM will perform using results from smaller models in the same family—helping teams right-size compute and cost. (MIT News) MIT News
Why it matters for business: If you’re training or fine-tuning custom models, this is a roadmap to avoid over-spend. Better forecasting of performance-per-dollar means tighter budgets and faster iteration cycles for internal AI initiatives.
My take: With CFOs scrutinizing AI line items, this is gold. Use it to set checkpoint gates: scale up only when the smaller model’s curve predicts meaningful gains for your use case.
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Tools Worth Trying This Week
- Jasper.ai – Generate polished content while maintaining brand voice (especially important as IP becomes more scrutinized)
- HeyGen – Create studio-quality videos with AI avatars for your marketing materials
- Opus Clip – Chop up long form videos into short form content for social media.
How to Use Clip Anything of Opus Clip
Clip Anything is the first-ever multimodal AI clipping tool that allows you to capture any moment from ANY video using visual, audio, and sentiment cues even from videos with little to no dialogue. Here’s how you can make the most of it:
- Upload Your Video
- Drop your video link or upload a file directly.
- Select the “ClipAnything” Model
- Under the Clip model options, choose “ClipAnything.”
- Optional Customizations
- Select Video Genre: Choose the genre of your video to enhance accuracy (optional).
- Type a Prompt: Use natural language to find specific moments. For example:
- “Find all the touchdowns.”
- “Highlight moments most likely to go viral on social media.”
- Save Your Settings
- Save your favorite clip settings (model, genre, and presets) as defaults to streamline your workflow and ensure consistency.
- Process Videos with Minimal Dialogue
- For videos with little to no talking, ClipAnything is highly recommended to improve the quality of your clips.
AI isn’t a future plan anymore it’s a current reality reshaping everything from ads to compliance. Whether you’re running a small business or leading an enterprise team, the time to experiment and adopt is now..
Cheers,
-Nicole Donnelly
Founder, AI Smart Ventures
P.S. What AI things are you most excited about? Hit reply and let me know. I read every response.
