{{first_name | Leader}}, welcome back.
The last 24 hours connected some unlikely dots. Infrastructure, theory, and creativity are starting to move in sync as AI scales.
Why most enterprise AI projects fail and the patterns that actually work*
Alphabet buys Intersect Power to fuel AI
Yann LeCun launches world-model AI startup
Qwen enables layered, editable AI images
Tools, resources, and a prompt to clean up the piled-up ‘special cases’. ⬇️
Most AI apps never make it past the prototype phase because of compliance gaps, security issues, and weak infrastructure. This guide outlines how successful teams move quickly from idea to launch.
WorkOS gives you the APIs and enterprise features—SSO, SCIM, RBAC, and Audit Logs—so your team can go from prototype to production, and fast.
Alphabet is buying Intersect Power for about 4.75 billion dollars, giving it direct access to clean energy for its expanding AI data centers. This move is less about energy as a side bet and more about securing the basics needed to scale AI reliably.
Power is now a first-order AI constraint. Where energy is available will shape cloud capacity, pricing, and how fast new AI workloads can actually come online.
Yann LeCun is launching a new AI startup focused on world models, with early talks valuing it at over 5 billion dollars. The idea challenges pure LLM scaling and argues that real intelligence needs a grounded understanding of the world.
For AI leaders, this is a long-term marker. It shows growing momentum behind alternatives to today’s dominant architectures, even if practical enterprise use is still years away.
Qwen released a new image model that breaks a single image into semantic layers, more like a Photoshop file than a flat picture. You can move, remove, or recolor objects without breaking the rest of the image.
For teams working with visuals, this is a practical upgrade. It reduces rework and cleanup in design and marketing workflows, especially when assets need frequent updates.
Productivity Tools
🛠 CodeRabbit - Cut Code Review Time & Bugs in Half. Instantly. Supports TypeScript, Python, Java, and more.*
✨ Flick - Helps plan, write, schedule, and analyze social media content in one place.
✍️ Writesonic - Generates SEO-focused content using trends and keyword intelligence.
🎨 Typeset - Turns plain text into polished visual designs using AI.
Get featured tomorrow: How do you use AI for business/personally? Interesting stories will be shared with 100K curious readers.
One Chart That Matters
European households are strongly focused on financial safety nets (emergency savings, debt control) rather than higher‑risk investing,
💰 Funding
SafeBooks AI raised $15M to automate accounting and financial operations with AI.
A2Z Radiology AI raised $4.5M to expand AI tools for medical imaging workflows.
💼 Roles in AI
🐦 Did you read this memo?
Exceptions Audit
When to use this?
When too many special cases piled up this year and you want to clean them up before they stick.
You are my operations and governance advisor.
Based on the update below, identify:
Exceptions we allowed this year (pricing, approvals, process shortcuts, tools)
Which exceptions should be formalized into a clear rule
Which exceptions should be removed in Q1
Risk of keeping each exception (low, medium, high)
Keep it practical and under 180 words.
Update: [paste examples of special approvals, overrides, or one-off decisions]Correct Input Style:
“Update:
Sales approved custom pricing for 6 enterprise deals.
Security reviews were skipped for two pilots.
Marketing bypassed standard approvals for one launch.
AI tools were adopted by some teams without central review.”
P.S. Get more such prompts in the Prompting Playbook (free for you)
Q. AI “clones” are suddenly everywhere. What are your views about it?
Stay curious, {{first_name | leaders}}
PS. If you missed yesterday’s issue, you can find it here.