AI is overheating, but Microsoft has a fix

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Another day, another dose of AI chaos … fried down to what actually matters. 👍

🤯 MYSTERY AI LINK 🤯

(The mystery link can lead to ANYTHING AI-related: tools, memes, articles, videos, and more…)

How Canva, Perplexity and Notion turn feedback chaos into actionable customer intelligence

Support tickets, reviews, and survey responses pile up faster than you can read.

Enterpret unifies all feedback, auto-tags themes, and ties insights to revenue, CSAT, and NPS, helping product teams find high-impact opportunities.

→ Canva: created VoC dashboards that aligned all teams on top issues.
→ Perplexity: set up an AI agent that caught revenue‑impacting issues, cutting diagnosis time by hours.
→ Notion: generated monthly user insights reports 70% faster.

Stop manually tagging feedback in spreadsheets. Keep all customer interactions in one hub and turn them into clear priorities that drive roadmap, retention, and revenue.

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MICROSOFT’S COOL NEW FIX FOR HOT AI CHIPS 🔥

What’s new? Microsoft has successfully tested a new microfluidic cooling system that removes heat from AI chips up to three times better than today’s advanced methods.

How does this work? Traditional cooling methods like cold plates sit on top of chips, but layers of packaging block direct contact with the hottest parts. Microsoft’s approach etches microscopic channels directly into the back of the silicon chip, allowing liquid coolant to flow through and absorb heat right at the source. The system also uses AI to map each chip’s unique heat patterns and direct the coolant more precisely. In lab tests, this technology reduced GPU temperature spikes by 65% and performed significantly better across varied workloads.

Why does this matter? Excess heat doesn’t just limit chip performance; it shortens hardware lifespan, drives up energy costs, and forces datacenters to waste space leaving servers farther apart. With AI chips running hotter every generation, better cooling means more reliable hardware, lower bills, and denser datacenters that can deliver faster, cheaper AI services without burning through extra power.

90% OF TECH WORKERS NOW USE AI ON THE JOB 👨‍💻

What’s up? A new Google study shows that 90% of tech workers now use AI on the job, a dramatic jump from just 14% last year.

Want the details? The report, based on 5,000 global responses, found that AI is being used for coding, troubleshooting, and even writing documentation. At Google, AI is embedded in nearly every stage of software development, with tools like Gemini Code Assist offering features from text prediction to system-wide troubleshooting. But trust is mixed: less than half of professionals say they strongly trust AI-generated code, and most agree it still needs human review.

Why is this significant? This study shows how AI is reshaping software engineering. While it may streamline repetitive tasks, however, it’s also contributing to fewer entry-level opportunities, making it harder for new graduates to break in.

MICROSOFT GIVES USERS ACCESS TO EXPERIMENTAL AI FEATURES 🦾

What’s new? Microsoft has started a new program called Windows AI Labs to let users try out experimental AI features in Windows apps before they’re officially released.

Want the details? The program was first noticed in early versions of Microsoft Paint, where testers saw references to new AI options. The program is designed to get fast feedback from users on whether new features are helpful and easy to use. This gives users access to cutting-edge AI tools and also emphasizes a collaborative way for Microsoft to build features that people actually find useful.

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• The biggest blockers slowing others down—and how to avoid them

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Download the report. Free when you subscribe to the Masters in Marketing newsletter.

Learn what’s working now, and what’s next.

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