Here’s a new episode of The Reddy Rundown, crafted so you don’t have to frantically follow everything in the AI news space wondering what you’re missing as an exec in 2025 trying to keep up.

I’m Shawn Reddy — CEO of AI Advantage Agency. At my core, I’m a marketing systems architect. And I’ll be honest — most AI news is loud. But buried inside the noise are real signals: new software, new strategies, new ways to scale how we reach and convert customers.

This week, I’m breaking down what actually matters for your marketing operation: from non-invasive brain-computer interfaces (yes, really) to shadow AI risks inside your org, to Figma’s shockingly competent AI designer.

Let’s dive in.

From Thought to Action: BCI + AI Gets Real

UCLA’s engineers just demoed a non-invasive brain-computer interface (BCI) that lets paralyzed patients control a robotic arm — using only thought and AI interpretation of EEG signals.

But here’s what I’m thinking about: This is proof that AI is bridging the gap between human intention and machine execution in real time. Sound familiar? It should. That’s what modern marketing systems should do — remove friction between intent and output.

Just like these BCIs let someone move a cursor with their mind, marketing teams need systems that turn creative strategy into campaigns without 15 Slack threads and 3 approval cycles. BCI tech may be medical today — but the same underlying lesson applies to funnels, CRMs, and outreach stacks.

My takeaway: If AI can interpret neural signals, it can certainly optimize your lead scoring logic. The only thing stopping most companies is latency — not in software, but in mindset.

Figma AI: Junior Designer or Trojan Horse?

Figma dropped a major update that lets you design full app prototypes from a text prompt. Buttons, logic states, working UIs — all generated with smart defaults and builder-friendly refinements.

I tested it: It's a legit copilot for fast iteration. But this also opens up a new marketing reality:

• Speed wins — but only if your creative systems are AI-native.

• Design is now language-driven. If your team can prompt, they can prototype.

• Differentiation moves upstream. Everyone can build. Not everyone can brief.

  
  

My takeaway: Creative teams need prompt engineering skills as much as they need design chops. Start training them yesterday. Because the best marketing campaigns of 2025 will be generated, not just designed.

The Hidden Risk: Shadow AI and Trust Marketing

Fuel iX dropped a report showing that 57% of employees have entered sensitive company data into tools like ChatGPT and Claude without approval.

I’ve said this before — trust is your new brand moat. And in marketing? That trust is fragile.

If your campaigns are trained on — or fueled by — leaked or inconsistent data, you’re not just risking security. You’re risking message integrity. The wrong dataset in the wrong GPT prompt can surface in your next ad copy.

My takeaway: Shadow AI is more than an IT concern. It’s a brand safety issue. Your marketing ops stack needs boundaries. But it also needs visibility.

AI is Rewriting How We Speak (Literally)

New research shows AI-favored buzzwords like “delve” and “meticulous” are seeping into unscripted content — podcasts, YouTube, even your next marketing brief.

It’s subtle, but significant. Why? Because AI’s voice is becoming the default.

We’re not just using AI tools — we’re starting to sound like them.

My takeaway: This is a wake-up call to keep your brand voice human. Don’t let your copy sound like your chatbot’s cousin. Authenticity is still a conversion lever.

MIT’s Vaccine AI: A Forecasting Lesson for Marketers

MIT’s VaxSeer beat WHO’s vaccine strain predictions 15 out of 20 times. It did this by analyzing decades of viral data to identify the best protection months in advance.

What’s the marketing insight here?

Forecasting isn’t dead. It just needs better data.

Your campaign calendar shouldn’t be based on gut feels. Train your CRM, email cadences, and promo timing on historical conversion data — not just "what worked last quarter."

My takeaway: The same way MIT is using viral data to predict outbreaks, marketers should use behavioral data to predict when to launch, retarget, or pause. Smart timing = exponential lift.

Tools I’m Exploring This Week (with Marketing Use-Cases)

Let’s talk stack. Here are a few tools I tested this week — and how you might fold them into your marketing systems:

Figma AI Turn text prompts into interactive app designs Use it to prototype landing pages, campaign microsites, or demo flows in minutes

Fuel iX Shadow AI Report Deep dive on unregulated AI usage at work Use it to audit your marketing team’s AI use — especially when working with freelancers

Vanta Compliance Tools Automate SOC 2, GDPR, and compliance workflows Build trust into your customer journey from day one — not after the breach

VaxSeer (MIT) AI-driven vaccine success predictor Not a direct marketing tool, but an example of how deep training beats surface-level intuition. Translate this to your content calendars and ad cycles.

Final Thought: Speed ≠ Strategy (Without Systems)

The tools are getting flashier. But your job as a modern exec isn’t to test everything — it’s to build systems that scale without breaking.

That’s what I’m doing at AI Advantage Agency. Whether it’s AI-driven outreach systems, multi-channel CRM automations, or internal dashboards that drive decisions — the architecture is what gives the edge.

Looking for a community of like-minded individuals who are interested in AI and Entrepreneurship? Join our free community here to get started: The AI Advantage Community Thank you for reading! -Shawn