Friday, November 7, 2025
Read time: 5-6 min
Read this article online
Hi, it’s Chad. Here’s what you need to know about AI this week:
1. Sound Waves: Podcast Highlights
This past Monday, I sat down with Nick Damoulakis, founder and CEO of Prospero.ai, to talk about something every middle-market leader is wrestling with: how do you actually deploy AI when your team is already stretched thin? Nick’s built an AI-powered business intelligence platform specifically for organizations that don’t have data science teams, and he shared the three-question framework his clients use to identify which processes to automate first. If you’re tired of AI pilots that never make it to production, this conversation will save you six months of false starts.
Coming Monday: My boots-on-the-ground report from MIT Technology Review’s EmTech 2025, where I’ll break down the agent-driven internet shift and what it means for your business strategy.
Hit one of the below links to check it out:
Subscribe for free today on your listening platform of choice to ensure you never miss a beat. New episodes release every two weeks.
2. Algorithmic Musings. The Internet Is Being Rebuilt (And Your Website Is Already Obsolete)
I just got back from MIT’s EmTech Conference, and here’s what became crystal clear: the internet as we know it is being rebuilt right now. Not in five years. Not “eventually.” Right. Now. The web your business relies on – the one built for human browsers, clicks, and credit cards – is giving way to an agent-driven internet built for autonomous software that negotiates, transacts, and decides without human intervention. Imagine a world where your customers don’t visit your website – their AI agents do. These agents aren’t browsing or scrolling through product pages. They’re querying structured data, evaluating options across dozens of competitors simultaneously, and executing transactions in milliseconds. Multiple researchers and founders at EmTech centered entire sessions on this exact transition, and here’s what stopped me cold: you’ve got an 18-month window to get your digital infrastructure ready before this shift goes mainstream.
In this coming week’s episode of AI for the C-Suite, I’m breaking down what I heard from MIT researchers, platform leaders, and founders who are building this new infrastructure. I’ll walk you through the three moves middle-market leaders need to make this quarter, what “agent-ready” actually means for your website and business model, and the uncomfortable question you need to ask Monday morning: “If 30% of our customer interactions were with AI agents instead of humans within 18 months, what breaks?” If you’re still optimizing for SEO and page rankings, you’re designing for a world that’s already fading.
3. Research Roundup: What the Data Tells Us
EDGE AI FOR MANUFACTURING: CUT YOUR DEPLOYMENT TIME BY 80%
Here’s what caught my attention: New research just quantified something I’ve watched manufacturers struggle with for years – getting AI deployed fast enough to actually matter. Turns out there’s a solution hiding in edge computing.
The numbers that matter: An agent-based Edge AI framework reduced deployment time by 80% versus traditional manual methods while maintaining sub-200 millisecond response times. Real-world testing in food production showed 65% less equipment downtime and 20% better energy efficiency. Predictive accuracy held steady above 95%.
What this means for your Monday morning: If you’re running a production line, I’ve got validation for something you already suspected: the delay between detecting a problem and fixing it is bleeding money. Now we know exactly how much.
The catch: Your IT team will need to shift from cloud-first thinking to edge-first architecture. This means investing in local processing infrastructure and modular frameworks. Budget 2-3 months for your team to get comfortable with the approach, but remember – you’re still coming out ahead with that 80% deployment time savings.
Action item: Walk your plant floor this week and identify one quality control checkpoint where 200-millisecond response time would prevent defects or waste. If you’re catching even 5 defects per shift, the ROI math on a pilot is straightforward. That’s your starting point.
Read our full analysis of this and all other analyzed research papers at AI for the C Suite.
4. Radar Hits: What’s Worth Your Attention
OpenAI trains ChatGPT on investment banking work. Project Mercury hired 100+ former bankers at $150/hour to teach ChatGPT financial modeling and deck building. This matters because OpenAI is going after enterprise revenue by targeting professional services tasks that actually pay the bills. If AI can handle analyst-level work in banking, it can handle similar grunt work in your finance department. If you’re still using AI for basic summaries and email drafts, you’re playing in the shallow end. The competitive advantage is moving to domain-specific work that requires judgment. Time to get more ambitious with your use cases.
OpenAI’s Company Knowledge connects ChatGPT to your Slack, Drive, and SharePoint. It’s powered by GPT-5 and costs $25/month versus Microsoft Copilot’s $30. The catch: it arrived months late and requires manual toggling for each conversation. Your move: Don’t rush to deploy just because it’s new. Microsoft’s had 12 months to iron out Copilot’s enterprise quirks. Unless you need specific ChatGPT features that Copilot lacks, let OpenAI work through the integration bugs on someone else’s dime. But do start testing one of these tools—waiting for perfection means watching competitors pull ahead.”
Anthropic’s research shows Claude can detect its own internal thoughts. The models are right about 20% of the time, but this “introspective awareness” gets better as models get smarter. Translation for executives: AI systems are becoming less of a black box, which helps with debugging and trust. The flip side: models that can monitor their thoughts might also learn to hide them. Worth watching as you negotiate AI vendor contracts: the companies investing in transparency today are building the trust infrastructure for tomorrow. Ask your vendors what they’re doing about model interpretability – their answer tells you how serious they are about enterprise adoption.”
5. Elevate Your Leadership with AI for the C Suite
I’m working with middle-market leaders who are done with pilots and ready for production-scale AI deployment. If you’re wrestling with the gap between “this sounds promising” and “this is driving revenue,” let’s talk strategy. The organizations making real progress aren’t the ones with the biggest budgets – they’re the ones asking the right questions.
Book a strategy call by replying directly to this email.
And if this newsletter delivered value this week, forward it to one executive who needs practical AI guidance. Every Friday, we’re cutting through the hype to focus on what actually works.
Until next Friday – Chad
P.S. Your website was built for humans with credit cards. The internet’s being rebuilt for agents with algorithms. That 18-month window? The clock’s already ticking.