🚀 Microsoft launches Hey Copilot voice commands for Windows

Welcome back to the AI Business Summary newsletter!

The AI world continues to move at a record pace. This week is no different.

Below, we have all the updates you need to know from this week, specifically the AI news that you need to know for business…

The Big Lead: Microsoft adds voice as Windows' third input method. Say "Hey Copilot" and your AI assistant handles screen scanning, reservations, and more.

In Today’s Issue:

🚀 Microsoft launches Hey Copilot voice commands for Windows

🧬 Google's Gemma AI discovers new cancer therapy pathway

🤝 OpenAI partners with Broadcom for 10 gigawatt chip deployment

🛒 Walmart integrates ChatGPT for instant checkout shopping

🎵 Spotify partners with labels on artist-first AI music

👓 Apple pauses Vision Pro upgrade, shifts to AI glasses

⚡ Oracle launches AI agents across Fusion Applications

📱 Meta taps Arm Holdings to power AI recommendations

🧠 The Scoop:

The Scoop:

🚀 Microsoft launches Hey Copilot voice commands for Windows

• New wake word activates AI assistant on any Windows 11 PC.

• Vision scans screens and answers context questions about content.

• Actions mode books reservations and orders groceries from the desktop.

• Voice becomes the third input method alongside keyboard and mouse.

🧬 Google's Gemma AI discovers new cancer therapy pathway

• 27B parameter model identified silmitasertib as an immune system amplifier.

• Drug boosts antigen presentation 50% when combined with interferon.

• Prediction validated in human cell models, completely unseen during training.

• First AI-generated hypothesis confirmed through experimental lab testing.

🤝 OpenAI partners with Broadcom for 10 gigawatt chip deployment

• Custom AI accelerators designed by OpenAI, manufactured by Broadcom.

• Deployment starts in the second half of 2026 and will be completed by 2029.

• Uses Ethernet networking solutions for scale-up and scale-out.

• Embeds frontier model learnings directly into hardware design.

🛒 Walmart integrates ChatGPT for instant checkout shopping

• Customers can chat and buy through OpenAI's platform.

• Cuts fashion production timelines by up to 18 weeks.

• Customer care resolution times reduced by up to 40%.

• Moves beyond search bars toward predictive commerce experiences.

🎵 Spotify partners with labels on artist-first AI music

• Deals with Sony, Universal, Warner, and Merlin have been announced.

• Artists can opt in to AI tools and collect payments.

• New generative AI research lab and product team launched.

• DDEX labeling system identifies AI-generated music content.

👓 Apple pauses Vision Pro upgrade, shifts to AI glasses

• Vision Pro struggles against cheaper Meta Quest competitors.

• Meta holds 60.6% of the AR/VR smart glasses market.

• Extended Reality market is projected to hit $84.86 billion by 2029.

• AI glasses offer hands-free, context-aware digital interaction.

⚡ Oracle launches AI agents across Fusion Applications

• New agents automate payables, ledger, and planning tasks.

• HR agents handle team sync, talent advice, and management.

• Supply chain agents process quotes and fulfillment requests.

• Built using AI Agent Studio with marketplace integration.

📱 Meta taps Arm Holdings to power AI recommendations

• Arm-based chips now drive Facebook and Instagram personalization.

• Meta invests $1.5 billion in new Texas AI data center.

• Arm architecture promises higher performance, lower power than x86.

• Meta open-sources AI infrastructure improvements for wider adoption.

🌱 Bonus Thought

The gap between high-maturity and low-maturity AI organizations isn't closing. It's widening. Forty-five percent of high-maturity organizations keep AI projects operational for three years or more; laggards abandon theirs in months. Trust drives adoption; adoption unlocks value; value justifies investment. It's a flywheel, and most organizations aren't even spinning yet.

The pattern is clear: maturity breeds longevity. Organizations that appoint dedicated AI leaders (91% of high-maturity orgs already have), centralize strategy and infrastructure, and measure outcomes with real metrics aren't just executing better. They're building institutional muscle that competitors can't replicate overnight. Security, governance, and financial rigor become advantages, not overhead. Sixty-three percent of high-maturity organizations run ROI analysis and measure customer impact. That discipline compounds.

The future belongs to companies that treat AI as infrastructure, not experimentation. If your AI projects still live in quarterly pilots and PowerPoint decks, you're stalling. Maturity takes years to build, and the clock started yesterday.

The takeaway: AI maturity is a moat, and it's dug one quarter at a time.

📝 Business Prompt to Try

Prompt to Try

Why It Works

• Targets efficiency: quantifies success through reduced ticket volume and faster response times.

• Evidence-based: grounds analysis in real customer data for specific, relevant improvements.

• Low cost: leverages existing transcripts and accessible AI tools—no major platform change needed.

• Action-ready: turns customer pain points into deployable, testable automations.

💡 Quote of the Week