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🍪 NVIDIA sees $1 trillion in AI chips by 2027
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Welcome to The AI Report — the #1 AI newsletter for business leaders.
We believe you don’t need to be technical. Just informed.
Inside: real-world use cases and Partner Perspectives you won’t find anywhere else:
• 1. 💬 Turn your customer feedback into actionable insights with Unwrap
• 2. 🍪 NVIDIA forecasts $1 trillion in AI chips by 2027
• 3. 💼 Your Business Briefing
• 4. 🛰️ Systemize and polish your drafts with Orbit Flows
• 5. ✍️ Today’s Policy Corner
• 6. 🗞️ The News Bulletin
Are you ready to launch AI transformation for your company?
TOGETHER WITH UNWRAP
Powerful insights for powerful brands!
Unwrap’s customer intelligence platform brings all your customer feedback (surveys, reviews, support tickets, social comments, etc.) into a single view, then uses AI + NLP to surface the most actionable insights and deliver them straight to your inbox.
Unwrap works with product, CX, support, operations, and data teams to cut through thousands of pieces of feedback, ensure no customer voice gets lost, and get data-backed insights to inform their roadmaps.
Trusted by Stripe, Lululemon, WHOOP, Clay, Ro, DoorDash, Southwest Airlines, and others. If your team is still relying on time-consuming manual processes (or even a mix of manual work and AI), there's a much better way to aggregate and analyze feedback.
With Unwrap you get:
All customer feedback auto-categorized into a single view
Natural language queries to explore feedback instantly
Real-time alerts, custom reporting, and clear sentiment tracking
Latest in AI
NVIDIA forecasts $1 trillion in AI chips by 2027
🚨 Our Report
At its annual GTC developer conference in San Jose, Nvidia CEO Jensen Huang announced that revenue from the company's AI chips could reach $1 trillion through 2027. That's a major jump from the $500 billion the company projected for 2026, a sign that demand for AI infrastructure is accelerating faster than expected.
🔓 Key Points
Huang declared that "the inference inflection has arrived," unveiling new chips and an AI system built on technology from Groq, which Nvidia licensed for $17 billion in December.
The company introduced its Vera Rubin chips for handling the "prefill" stage of AI requests, along with a next-generation chip called Feynman, named after the late American physicist.
Even as customers like Meta build their own custom processors, Nvidia remains central to the global AI ecosystem, with market value now exceeding $4.3 trillion and its CUDA software serving as a competitive moat.
🔐 Relevance
For enterprise leaders, the doubling of Nvidia's revenue forecast from $500 billion to $1 trillion shows that AI infrastructure investment is not slowing down. The shift from training to inference computing is reshaping the market: companies that spent billions training AI models are now focused on serving hundreds of millions of users in real time. Businesses planning AI deployments should expect sustained high demand for compute resources.
The AI Report Podcast
How Coursera Is Reskilling 7,000 Companies on AI — From the VP Leading It (Anthony Salcito)
THE BUSINESS BRIEFING: MARKETING (powered by Upscaile)
SPANX (global apparel, 500+ employees) was burning budget on email blasts to unengaged subscribers. Open rates stalled around 18%, and broad campaigns pushed too many sends to inactive profiles who'd never convert. They deployed Orita to segment audiences based on engagement probability before each send, cutting list bloat and focusing spend on high-intent subscribers.
Tool used: Orita -- AI-powered email segmentation that predicts engagement before you hit send.
Result: +31% campaign revenue growth. Deliverability improved, unsubscribes dropped, and marketing spend shifted to subscribers who actually buy.
The lesson: AI segmentation only works when you give it clean signals to learn from. SPANX paired Orita with clear campaign strategy -- the tool sharpened execution, but humans set the direction.
Steal this: Audit your last 10 email campaigns this week. Flag subscribers who haven't opened in 90 days and test a re-engagement sequence before your next broadcast. If they don't bite, remove them. Smaller, engaged lists convert better than bloated databases.
TOGETHER WITH ORBIT FLOWS
Unlock AI’s full potential for human-grade copywriting + 10x your content.
Copywriters and content agencies are using Orbit Flows to:
Leverage every major LLM side-by-side for smarter drafts
Build brand voice profiles and context AI won’t forget
Train AI on your unique thought process and stop wasting time on complex prompts
Systemize and scale your output for predictable revenue, without extra overhead.
THE POLICY CORNER
Federal contractors selling AI capabilities to the government must now certify they use only AI systems manufactured, developed, and controlled by U.S. entities. GSA's proposed clause 552.239-7001 bans foreign AI components, requires 72-hour incident reporting, grants the government sweeping data rights, and mandates compliance with "Unbiased AI Principles" prohibiting partisan or ideological outputs. Contractors are responsible for downstream compliance by all commercial vendors and subcontractors who provide AI systems.
Deadline: Comments due March 20, 2026. Mass modification expected April 2026 with 60-day acceptance window.
Your move: Review your AI vendor stack this week. Verify manufacturing origin, data handling practices, and training methodology. If using foreign-developed models or can't document "American" production, flag for legal review before the comment window closes.
AI News
🏭 Cognizant launches AI Factory with Dell and NVIDIA: Multi-tenant cloud platform cuts AI deployment costs 50-60% and accelerates processing 30% through proprietary fractional GPU tech built on NVIDIA MIG. FULL STORY
📊 Google AI Studio adds project spend caps: Developers can now set monthly dollar limits per project with 10-minute enforcement delays, plus automatic tier upgrades based on payment history and usage growth. FULL STORY
🛍️ Shopify preps for agentic shopping takeover: President Harley Finkelstein says AI agents will act as merit-based personal shoppers, surfacing long-tail merchants and bringing context to product discovery beyond mass retailers. FULL STORY
⚖️ Moltbook shifts liability to humans after Meta acquisition: New terms require operators over 13, make humans solely responsible for agent actions, and add disclaimers advising against reliance on AI-generated content for decisions. FULL STORY
Trending AI Tools (The Full 2026 Tool Stack PDF Included Here)
A curated look at the AI tools quietly transforming how teams work.
Meco is a distraction-free space for reading and discovering newsletters, separate from the inbox.
Craft is a comprehensive workspace for notes, tasks, and planning that functions offline
Wethos is a platform for freelancers and agencies to streamline proposals, invoicing, and teamwork
⚡️ Looking for the exact AI tools our team uses to run The AI Report?
We just launched the 2026 AI Tool Stack…
The Money: Hyperscalers solve AI's hidden bottleneck
AI's growth constraint isn't compute anymore -- it's the infrastructure that keeps it cool and running. As Meta commits $135B to AI capex this year, investors are backing the picks-and-shovels layer that prevents thermal throttling and delivers guaranteed capacity at scale.
Deals to know:
Frore Systems (Series D, $143M) -- Thermal cooling platforms for data centers and edge devices. Hit $1.64B valuation solving AI's heat problem with 75% higher heat transfer efficiency. Investors: MVP Ventures, Fidelity, Qualcomm Ventures
Nebius (Infrastructure deal, $27B) -- Dutch AI cloud provider secures five-year Meta commitment for $12B dedicated capacity plus $15B optional compute. Stock jumped 14%. Investors: Nvidia ($2B stake)
Signal: Smart money betting on infrastructure constraints, not model capabilities. Companies removing physical barriers to AI scale command hyperscaler premiums through 2028.
📘 Want to go deeper?
The AI Leaders Launch Guide includes a 16-lesson playbook, HubSpot AI workflows, and 5 custom GPTs.
Refer a Friend
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Until next time, Arturo and Liam.
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