{{first_name | Leader}}, welcome back.

Behind the scenes, AI infrastructure is starting to creak under its own weight. At the same time, consumer-facing experiences keep getting smoother and more magical. Here are today’s updates.

  • The only software development agents that work everywhere you do*

  • Intel eyes SambaNova AI chip acquisition

  • AI data centers strain infrastructure resources

  • Google adds real-time headphone translation

  • Tools, resources, and a prompt for resetting focus when progress feels stalled ⬇️

IN PARTNERSHIP

Available across interfaces, including your IDE, CLI, and CI/CD, Droid lets you hand off real work like refactors, migrations, and incident response without changing your tools or workflow. Droid is the number 1 coding agent across every model.

The future is agent-first, with developers moving faster by orchestrating many agents in parallel instead of relying on incremental autocomplete.

NEWS UPDATES

Intel moves closer to buying SambaNova

Intel is reportedly in late talks to acquire AI chip startup SambaNova for around 1.6 billion dollars, including debt. The deal would help Intel strengthen its AI accelerator lineup as it tries to catch up with Nvidia and AMD in data center AI.

This points to more consolidation in AI hardware. Fewer but larger players could mean deeper integration across chips and systems, with real implications for pricing, performance choices, and long-term vendor bets.

AI data center boom starts hitting real limits

AI data center construction is now competing with public infrastructure projects for labor, materials, and capital. Governments are issuing record debt for roads and transit, while private data centers chase the same resources, creating bottlenecks.

This is a reminder that AI scale is not just a software problem. Cloud availability, regional capacity, and rollout timelines could face pressure as physical infrastructure struggles to keep up.

Google Translate brings live headphone translation

Google is testing real-time translation directly through headphones, powered by Gemini. It supports over 70 languages and focuses on preserving tone, slang, and natural conversation flow.

This is more of an interface signal than a strategy shift. It shows how fast AI is moving into real-world, hands-free experiences, even if the immediate impact stays mostly consumer-focused.

BEST LINKS

Productivity Tools

💡 TheySaid - Turns user feedback into clear insights and product direction.

🌞 Sunbeam Asklet - AI-powered customer questions and insights from conversations.

🔁 SwytchCode - Helps teams refactor and modernize codebases faster with AI.

🧠 AI Context Flow - Chrome extension to improve AI context handling across tabs.

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Useful Resources

STRATEGIC AI DECISION

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MARKET

💰 Funding

💼 Roles in AI

  • Senior Cloud Site Reliability Engineer, AI/ML Infrastructure at Intuitive (US)

  • Lead Edge AI Engineer at Source, Inc. (US)

🐦 The Biggest Misunderstanding in AI Coding

PROMPT TUTORIAL

What Decision Am I Avoiding?

When to use this? When you need to reset focus when progress feels stalled.

You are my executive coach.
Based on the update below, identify:

The decision I’m likely avoiding

Why it’s being delayed (risk, data gaps, politics, timing)

The cost of not deciding in the next 30 days

A low-risk way to move forward this week

Keep it direct and practical.

Update: [paste a short business update or current situation]

Correct Input Style:

Update:
Two vendors shortlisted for CRM upgrade.
Teams disagree on the implementation timeline.
Sales pushing for speed, IT cautious.
Decision deferred twice.

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

Yesterday's POLL RESULTS

Q. What’s the biggest benefit of using AI for predictions in business?

Stay curious, {{first_name | leaders}}

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

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