{{first_name | Leader}}, welcome back. Today’s updates:
Free workshop on turning a prompt into a revenue-producing GenAI app to $100K ARR.*
AI power constraints are beginning to impact enterprise scaling
Microsoft continues refining its humanist superintelligence approach
ChatGPT’s app ecosystem keeps expanding with new integrations
Tools, resources, and a prompt to turn scattered deal notes into a clear, story-driven case study. ⬇️
Join Vishal Virani, Founder & CEO of Rocket, for a free live workshop: “How to Go from Prompt to $100K ARR.” Vishal leads a $15M-funded startup that has empowered over 600K users across 180 countries to build millions of apps using Rocket’s vibe solutioning platform.
In 60 minutes, you’ll get a roadmap to launch production-ready GenAI apps that generate revenue, control costs, and scale efficiently. Learn to pick the right price lane, translate $100K ARR into actionable targets, design workflows that deliver measurable outcomes, estimate unit costs, and implement hybrid packaging with Seats, Credits, and Overage.
See a live micro-demo showing how Rocket turns a prompt into an app, how “/” and “@” commands help execute repetitive tasks precisely and accelerate iterations across Day 0 (solutioning), Day 1 (getting started), and Day 2 (deployments).
Walk away with a checklist, templates, a simple GTM flywheel, and a special bonus offer to kickstart your AI app journey. Seats are limited—secure your spot today.
I am seeing more leaders quietly admit that their biggest AI constraint is not GPUs anymore, it is power. AI workloads are pulling far more electricity than current grids can handle, and the gap is widening faster than utilities can upgrade. That is why so many data centers are falling back on fossil-heavy backup sources, even when their sustainability targets say otherwise.
If this does not get solved, AI timelines will slip, training budgets will balloon, and ESG commitments will get harder to defend. The smartest teams I know are now treating power availability as part of their AI strategy, not an afterthought. Over the next few years, competitive advantage might come from securing stable energy, not just training bigger models.
Microsoft is starting to talk publicly about how it wants to build superintelligent systems, and the message is intentionally cautious. They are emphasizing steady progress, transparency, and tight alignment with human values. In other words, they want enterprises to see powerful but grounded AI, not runaway leaps.
For anyone building on Azure, this matters. Microsoft’s philosophy shapes everything from future Copilot models to governance tooling and how they will position AI for regulated industries. This is the early framing of how your long-term AI vendor plans to earn trust at super-scale.
OpenAI has added the Peloton and TripAdvisor apps inside ChatGPT, and I think this is another step in turning ChatGPT into a multi-service platform, rather than a single assistant. You can plan workouts, map trips, and pull recommendations without leaving the chat interface. It is a small but telling shift in how everyday users interact with services.
For enterprises, the immediate impact is low, but the direction is important. Integrated AI workflows inside a single interface are becoming normal. The real takeaway is not Peloton or TripAdvisor, but rather that consumer behavior is shifting toward app-like ecosystems within AI chats, and enterprise software will eventually follow the same pattern.
Productivity Tools
🌐 Join Vishal Virani, CEO of Rocket, for a free live workshop on how to turn AI prompts into revenue and scale your GenAI app to $100K ARR. Save a Seat.*
Kombai - A new AI model that can understand and code UI designs like a human.
CrystalSound - An ultimate real-time noise-cancelling & voice changer app.
Vercel - A cloud platform for deploying and hosting websites, apps, and serverless functions seamlessly with speed, scalability, and simplicity.
Get featured tomorrow: How do you use AI for business/personally? Interesting stories will be shared with 100K curious readers.
One Chart That Matters
What is the biggest barrier to scaling AI across organizations today?
💰 Funding
Nationwide announced a $1.5B investment to accelerate technology and AI modernization across its operations.
VAST Data secured a $1.17B partnership with CoreWeave to power next-generation AI infrastructure and high-performance compute.
💼 Roles in AI
🐦 McKinsey’s 2025 AI report
Deal Narrative Builder
When to use this?
When you need to turn scattered deal notes into a clear, story-driven case study or sales win summary that your team can actually reuse.
You are a B2B storytelling strategist.
I’ll share short notes from a recent closed deal.
Turn them into a 1-page Deal Narrative that includes:
Client background (industry, scale, key challenge)
Problem statement — what they were struggling with
Solution overview — how our product or service solved it
Results — tangible ROI or improvements
Quote or takeaway line to use in marketing/sales decks
Keep it concise (under 200 words) and written in an enterprise tone.Correct Input Style:
“Client: Fortune 500 retailer.
Challenge: data silos between e-commerce and store inventory.
Solution: implemented AI inventory forecasting tool.
Results: 18% reduction in stockouts, $4M saved annually.”
P.S. Get more such prompts in the Prompting Playbook (free for you)
Q. How long does it typically take your organization to move an AI initiative from concept to production
Stay curious, {{first_name | leaders}}
PS. If you missed yesterday’s issue, you can find it here.