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• 3. ⚡️ SpaceXAI drops Grok 4.5
• 4. 💼 Your Business Briefing
• 5. 🔐 Take control of your data with Incogni
• 6. ✍️ Today’s Policy Corner
• 7. 🗞️ The News Bulletin
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TOGETHER WITH GLEAN
Guest Lectures at Glean Academy returns for a third season, turning the Work AI Index 2026 into a practical, three-part series for leaders who want to close the performance gap.
Enroll now to hear AI researchers and experts at MasterCard, Target, Emory University, and more, explore the hidden human labor behind AI, how high performers avoid botsitting and botshitting, and what makes successful AI leaders.
Enroll now to save your spot and win one of ten free Glean:GO 2026 tickets
📊 2026 AI Tool Stack Guide (20+ pages)
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📝 Claude + ChatGPT Prompt Library (75+ prompts)
AND you can gain access to your choice of two resources available in our premium Leaders Launch Program for free.
Latest in AI
SpaceXAI has released Grok 4.5, its first major model since going public, with Elon Musk claiming it matches Anthropic's Opus-class performance at significantly lower cost and faster speeds.
SpaceXAI says Grok 4.5 delivers "twice greater token efficiency" than leading competitors, pricing it at $2 per million input tokens and $6 per million output tokens, undercutting Opus 4.7's $5/$25 pricing.
Musk posted on X that internal assessments show Grok 4.5 is "roughly comparable to Opus 4.7, but much faster," with the combination of capability, speed, and cost positioning it as competitive against Anthropic and OpenAI.
The release lands days before OpenAI launches GPT 5.6, which had been delayed by the Trump administration over security concerns and is being marketed as OpenAI's "strongest model yet."
For enterprise buyers evaluating AI vendors, Grok 4.5's aggressive pricing could reshape procurement decisions if SpaceXAI's efficiency claims hold in production workloads. The timing puts pressure on both Anthropic and OpenAI to defend their premium pricing as the model war intensifies across cost, speed, and capability. Organizations with high token volumes should benchmark Grok 4.5 against current deployments to assess potential savings.
The AI Report Podcast
The hardest part of adopting AI isn't finding tools, it's knowing which ones are actually worth using.
That's why we've upgraded our Tool Database into a completely redesigned Tool Index, featuring 5,500+ AI tools, structured comparisons, powerful search and filtering, and a new AI Stack Builder that recommends the best tools for your business based on your team, budget, and existing workflow.
Spend less time researching and more time implementing AI.
THE BUSINESS BRIEFING: MARKETING (powered by Upscaile)
Daye North America (outdoor power equipment, small e-commerce team) was drowning in data spread across POS systems, inventory databases, paid media platforms, and customer feedback tools. Manual analysis took days to compile and produced insights already outdated by the time they were finished. They deployed NinjaCat's AI agent platform to connect Snowflake data with automated analysis across five functional areas: sales support, digital shelf, paid media, SEO content, and UX.
Tool used: NinjaCat -- AI agent builder that connects marketing and operational data for automated analysis and cross-functional intelligence.
Result: 80% reduction in manual data analysis. 15+ hours saved weekly on product page copy. $1.5M+ in sales impact from inventory intelligence that identified stock gaps before revenue was lost.
The lesson: AI agents amplified expertise the team already had. The inventory agent caught demand signals because the team understood how weather patterns translate to purchase behavior in outdoor power equipment. No platform supplies domain knowledge on its own.
Steal this: Map where your data lives this week. If POS, inventory, and marketing metrics sit in separate systems requiring manual synthesis, you're operating on stale insights. Connect one data source to your analysis workflow before adding AI on top.
TOGETHER WITH INCOGNI
Your phone number, address, DOB, even your SSN can show up in a Google search. Marketers buy it, scammers exploit it, and in the worst cases, it ends up for sale on the dark web.
Incogni Unlimited helps you take control. Our privacy agents hunt down and remove your personal data from an unlimited number of sites. With automation across 420+ broker types—including People Search platforms and private databases—Incogni erases your information where others can’t reach.
Protect your identity before it’s too late. Use code AIREPORT for an exclusive 55% discount on unlimited removals.
THE POLICY CORNER
Ireland finalizes enforcement law for EU AI Act, fines and reporting requirements now active
Ireland's parliament is set to pass the Regulation of Artificial Intelligence Bill 2026 this week, establishing a new AI Office of Ireland with power to audit compliance and issue fines. The law applies to any business developing, importing, or deploying AI systems covered by the EU AI Act within Ireland. This includes high-risk AI systems (once that regime takes effect in 2027-2028) and general-purpose AI models already subject to requirements since August 2025. The Office will enforce technical documentation, transparency disclosures, copyright compliance, and serious incident reporting.
Deadline: Expected to pass by July 17, 2026. GPAI model requirements already in effect since August 2025. High-risk AI rules delayed to late 2027 or mid-2028.
Risk: Financial penalties for non-compliance. Audit exposure for businesses operating in Ireland or serving Irish customers with AI systems. Incident reporting failures create liability trail.
Your move: If you provide or deploy GPAI models, verify you have technical documentation, copyright disclosures, and integration details ready for audit. If you develop high-risk AI, start compliance planning now, regulatory sandboxes will be available to test implementations before enforcement begins.
📚 RETHINKING YOUR CAREER? START HERE
If you're rethinking your career path (or just want to make sure you're spending your working years well), this one's worth a look.
Todd breaks down how to find work that's genuinely fulfilling and makes a real impact: practical, research-backed advice rather than vague "follow your passion" platitudes. Great pick for anyone weighing next steps or feeling stuck in a career rut.
AI News
🎙️ OpenAI launches GPT-Live-1 voice models for real-time conversation: New full-duplex models can speak and listen simultaneously, handle natural interruptions, and connect to GPT-5.5 for search and reasoning while maintaining conversation. FULL STORY
🏗️ Meta commits $9B to first Canadian data center: The 1 gigawatt facility in Alberta will take two to three years to build and support over 3,000 construction workers at peak, as the company explores selling excess AI capacity through a new cloud computing business. FULL STORY
💬 Slack connects Slackbot to full Salesforce platform via MCP: Integration lets users pull CRM data, generate Tableau visualizations, and trigger DocuSign approvals from chat messages, with Salesforce IT claiming thousands of custom coding hours saved annually. FULL STORY
🇨🇳 China weighs export restrictions on advanced AI models: Beijing is considering a "silicon curtain" around sought-after AI models, potentially limiting foreign access to Chinese-developed systems as geopolitical tensions escalate. FULL STORY
Trending AI Tools (Sponsored by the AI Executive’s Pass)
A curated look at the AI tools quietly transforming how teams work.
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Evolv AI is an AI platform for continuous UX experimentation and conversion optimization
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⚡️ Why pay for 4–6 separate AI tools at full price when the AI Executive’s Pass fixes that?
The Money: Debt markets bankroll AI's physical footprint
Banks that once syndicated loans for real estate and oil majors are now assembling credit lines for AI infrastructure plays barely two years old. Nscale's $900M revolving facility drew a 12-bank syndicate including J.P. Morgan, Goldman Sachs, and Morgan Stanley, the kind of roster usually reserved for investment-grade corporates. The shift signals lenders see AI compute as essential infrastructure, not speculative tech.
Deals to know:
Nscale (Revolving credit facility, $900M) -- Flexible borrowing for US, Europe, and APAC data center buildout. Company raised $2B Series C at $14.6B valuation in March. Investors: J.P. Morgan, Goldman Sachs, Morgan Stanley, MUFG, Bank of America, Deutsche Bank, plus six others
SambaNova (Series F first close, $1B at $11B valuation) -- AI chip maker securing supply chain for inference hardware; JPMorganChase named as enterprise customer for on-premises deployment. Investors: General Atlantic, T. Rowe Price, BlackRock, Qatar Investment Authority, Intel
Signal: Capital is flowing to companies that own the physical layer of AI, whether that's data centers or chips. Banks and institutional investors are treating inference infrastructure as the next utility-scale asset class.
Thoughts on today's edition?Hit me up on LinkedIn, I read every message. |
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Until next time, Arturo and Liam.
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