400,000+ business leaders (and teams at IBM, AWS & Zapier) start their day with The AI Report. 5 minutes. Plain English. No hype.
ADVERTISE | PODCASTS | LAUNCH GUIDE | B2B TRAINING

• 1. 🤖 Multiply your work and life with the AI Executive System
• 2. ⚡️ Claude Design takes on Figma
• 3. 💼 Your Business Briefing
• 4. 🦾 Maximize the impact of AI-native analytics with Cube
• 5. ✍️ Today’s Policy Corner
• 6. 🗞️ The News Bulletin
Are you ready to launch AI transformation for your company?
TOGETHER WITH THE AI EXECUTIVE SYSTEM
Build AI agents and assistants to multiply your work and life – no tech skills required. The AI Executive System walks you step-by-step through building AI assistants for your professional and personal life — from a frontline "office team" to a strategic advisory council — with live coaching, proven templates, and a peer community behind you.
Latest in AI
Anthropic has launched Claude Design, a new tool that lets users collaborate with Claude to create polished visual work like designs, prototypes, slides, and one-pagers. The product is powered by Claude Opus 4.7, Anthropic's most capable vision model, and is rolling out in research preview for Claude Pro, Max, Team, and Enterprise subscribers.
Users describe what they need, then refine through conversation, inline comments, or direct edits. Teams can apply their own design system automatically, keeping output consistent with brand standards.
Use cases include realistic prototypes for user testing, wireframes for developer handoff, pitch decks, marketing collateral, and "frontier design" with voice, video, and 3D.
Designs export to Canva, PDF, PPTX, or HTML. Claude Design integrates with Claude Code, packaging work into handoff bundles developers can use with a single instruction.
For enterprise teams, Claude Design collapses the gap between idea and execution. Product managers can sketch feature flows without waiting on design resources, while marketers can create campaign visuals and loop in designers to polish. The design-to-code handoff feature makes it a direct competitor to tools like Figma, and shows Anthropic's intent to own more of the enterprise creative workflow.
THE BUSINESS BRIEFING: MARKETING (powered by Upscaile)
A mid-market Northeast Ohio e-commerce brand was burning $15,000/month on Google Ads with a 2.1% conversion rate and barely profitable 2.1x ROAS. Their team spent 15+ hours weekly on manual bid adjustments and ad copy rewrites. Worse, they had no cross-channel attribution—Google, Meta, and email each told different stories about what was working. They implemented an AI campaign management system that unified attribution across all channels, automated bid optimization every 15 minutes based on time-of-day patterns and profit margins, and deployed an AI copy engine that tested 47 headline variations in the first month alone.
Tool used: Custom AI campaign management system with cross-channel attribution, automated bidding, and generative ad copy testing.
Result: Ad spend cut from $15K to $6K/month (60% reduction) while maintaining revenue. Conversion rate jumped from 2.1% to 5.4%. ROAS climbed to 6.1x. Team time dropped from 15 hours/week to weekly check-ins.
The lesson: Cross-channel attribution changed everything. Once they could see the full customer path, they stopped pouring money into channels getting false credit. Meta retargeting was doing the heavy lifting while certain Google keywords just burned cash.
Steal this: Audit your attribution model this week. If Google Ads, Meta, and email all claim 100% credit for the same sale, you're optimizing blind. Map 20 recent customer journeys manually—track every touchpoint from first click to purchase. Spot the patterns your dashboards are hiding.
TOGETHER WITH CUBE
AI agents are only as good as their underlying data foundation. At the Agentic Analytics Summit, practitioners from Brex, Patagonia, Jobber, and PURE Insurance share how they're using the semantic layer to ship AI-native analytics that are accurate, governed, and production-ready.
Virtual and free.
THE POLICY CORNER
The U.S. General Services Administration released AI procurement rules on March 6 requiring systems to remain ideologically neutral, including avoiding DEI-related positions. California countered on March 30 with an executive order requiring vendors to demonstrate safeguards against bias and civil rights protections. Both use government purchasing power to set AI standards without passing legislation. Vendors selling to both jurisdictions must now meet opposing requirements — the federal government demands neutrality while California mandates bias prevention measures.
Deadline: Federal rules apply to new contracts now. California guidelines due within four months (by July 30, 2026).
Your move: Review current government contracts and RFPs. Document your AI system's governance structure, bias monitoring protocols, and explainability measures now, you'll need flexible reporting that satisfies both regulators. If you sell to government, assume you'll face audits from both sides.
AI News
🇬🇧 UK launches $675M sovereign AI fund: Government backs startups with capital, GPU access, and fast-track visas to keep AI innovation domestic. FULL STORY
🔧 Google DeepMind forms strike team for coding models: Team led by Sebastian Borgeaud targets long-term coding tasks after Anthropic's tools outperformed Gemini in internal benchmarks. FULL STORY
💼 3 in 4 executives prioritizing AI investment despite economic uncertainty: KPMG report shows strong commitment but widening gap between AI leaders and laggards in realized returns. FULL STORY
🎯 Adobe launches CX Enterprise for agentic AI orchestration: New platform unifies content, customer data, and AI-driven personalization across channels as discovery shifts to AI agents. FULL STORY
Trending AI Tools (Sponsored by the AI Leaders Guide)
A curated look at the AI tools quietly transforming how teams work.
Apollo — AI sales platform where users book 46% more meetings using the AI Research Agent
Adversea is an AI-driven background check and risk assessment platform for individuals and organizations
Innovatiana is an ethical data labeling service for AI training datasets
⚡️ Looking for the exact AI tools our team uses to run The AI Report?
The Money: AI independence becomes a buying signal
The two biggest AI funding rounds this week both targeted alternatives to Nvidia's ecosystem, one in chips, one in regional AI stacks. As compute costs and supply dependencies mount, investors are betting that sovereignty (technical or national) commands premium valuations.
Deals to know:
Euclyd and Fractile (Early-stage rounds, amounts undisclosed) -- AI chip architectures promising efficiency gains vs. Nvidia's H100. Betting on analog computing and disaggregated memory to crack CUDA's lock. Investors: Multiple VCs seeking the "next Nvidia"
Sarvam AI (Series B, $320M-$350M at $1.5B valuation) -- India's localized AI stack targeting enterprise and public sector in Indic languages. Assembles compute + cloud + distribution. Investors: Nvidia, Amazon, HCLTech, Bessemer, Prosperity7, Peak XV, Lightspeed, Khosla
Signal: Capital is flowing to AI infrastructure that reduces dependency, whether on a single vendor or foreign models. Expect sovereign AI and chip diversification plays to pull multiples above pure-play model companies through 2027.
Thoughts on today's edition?Hit me up on LinkedIn, I read every message. |
Refer a Friend
Latest episode: $70K/Month by Selling to AI Agents Instead of Humans → Listen here
Want to reach 400k+ decision-makers? → Sponsor us
Until next time, Arturo and Liam.
P.S. Unsubscribe if you don’t want us in your inbox anymore.