{{first_name | Leader}}, welcome back.

The AI race is no longer just about building the best technology. It's about proving ROI, navigating regulation, and finding smarter ways to win. 

These are today's updates: 

  • Get direct access to investment opportunities before they turn profitable *

  • Why SK Hynix's record quarter disappointed investors

  • Apple's alternative path to AI leadership

  • xAI's latest legal challenge

  • AI tools, jobs, resources, and an executive AI Readiness Scorecard ⬇️ 

. Together with USVC

The companies shaping AI, software, and the future economy often create most of their value before they ever go public.

USVC is designed to give everyday investors exposure to a broad portfolio of venture investments, an opportunity that was once largely limited to institutions and accredited investors.

Inside you’ll discover:

  • The (potentially) great capital unlock of 2026 and what breakout startup may be next to IPO

  • How private shares actually change hands and the fees to participate that few talk about

  • 5 vehicles for startup investing, including a new one that is open to non-accredited U.S. investors starting at $500

    Disclosure: Educational purposes only. Not investment advice. Not an offer of securities.

. Top News.

SK Hynix posted another record quarter, with revenue up 257% and operating profit up 557% year over year, driven by strong demand for AI memory chips. Yet both figures came in slightly below analysts' expectations, sending the stock sharply lower as investors looked past record growth.

AI spending is moving quickly towards "show me the ROI" phase. Vendors will need to prove sustained returns, not just rapid growth.

Elon Musk's xAI filed a lawsuit challenging a new Minnesota law that restricts certain AI-powered image manipulation tools. The company argues the law is overly broad and conflicts with free speech protections, while maintaining that its own platform already blocks harmful uses.

AI compliance is quickly becoming a product requirement, with new features regularly facing increasing legal and regulatory scrutiny.

Apple briefly became only the second company ever to reach a $5 trillion market value. Unlike rivals that are pouring hundreds of billions into AI infrastructure, Apple has focused on integrating AI into its products, relying on partners for much of the underlying AI technology. 

AI leaders are discovering that distribution and user adoption are creating more value than building the biggest model.

. Poll.

AI investment priorities

What's your biggest AI priority for the next 6 months?

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. Market.

Funding

Roles In AI

Socials

. Prompt of the Day.

AI Readiness Scorecard

When to use this?
When you want to understand whether your company is actually ready to scale AI, beyond running a few pilots.

You are an enterprise AI transformation consultant.

Assess my organization's AI readiness using the framework below.

Evaluate each category on a scale of 1-10, explain your reasoning, identify risks, and recommend practical improvements.
Categories:

Executive leadership and AI vision 
Data quality and accessibility 
AI infrastructure 
Security and governance 
Compliance and risk management 
Employee AI adoption 
Technical talent and skills 
Change management 
Existing AI use cases 
ROI measurement 
Vendor ecosystem 
Budget and executive sponsorship 

Then provide:
Executive Summary
Overall AI Readiness Score (/100) 
Readiness Level (Beginner, Emerging, Advanced, AI-First) 
Biggest strengths 
Biggest weaknesses 
Recommendations
Five high-priority improvements 
Three quick wins that can be completed in 30 days 
Three long-term initiatives 
The recommended order of execution 

Present everything as a board-ready report with tables, scores, and a final executive summary.
Examples:
[paste 2–5 examples of routine work: emails, summaries, reports, task lists]

P.S. Get more such prompts in the Prompting Playbook (free for you)

Stay curious, {{first_name | leaders}}

PS. If you missed yesterday’s issue, you can find it here.

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