Microsoft wants agents running everything

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🤖 Microsoft wants to become the operating system for AI agents

Microsoft used Build 2026 to unveil new models, hardware, agent tools, and developer platforms, all centered on a vision where AI agents become active participants across work, software, and computing environments.

The Decode:

Microsoft expands its AI lineup - Microsoft introduced seven new MAI models covering reasoning, coding, voice, image generation, and transcription, while launching Scout, its first always-on OpenClaw-powered agent for Teams.

Majorana 2 reaches milestone - unveiled Majorana 2, a quantum chip partly designed with AI assistance that delivers a reported 1,000x reliability improvement and could speed practical quantum computing timelines.

Local AI takes center stage - Microsoft launched Aion 1.0 Instruct and Aion 1.0 Plan for local reasoning and planning, positioning Windows and Microsoft 365 as the foundation for future agent workflows.

Enterprise knowledge gets connected - New Web IQ, Work IQ, Foundry IQ, and Fabric IQ systems provide agents with access to web information, company knowledge, development workflows, and business data.

New devices target AI workloads - Microsoft introduced the Surface RTX Spark Dev Box with 1 petaflop of AI compute and support for 120B-parameter models, while previewing Project Solara and future agent-focused devices.

Microsoft's strategy goes far beyond building chatbots or AI assistants. The company is betting that the next phase of AI will be won by whoever controls the environment where agents access data, use tools, collaborate with teams, and get real work done.

Together with Planable

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A buyer chose a competitor last quarter because the AI recommended them. Not because of price. Not because of product. Because their brand showed up where the decision was already being made and yours didn't.

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🏛️ AI policy battle takes shape

The U.S. government and lawmakers unveiled two very different AI proposals this week. One is focused on speeding model releases and staying competitive with China, while the other aims to give the public a direct financial stake in the AI boom.

The Decode:

🇺🇸 Trump scales back AI review plans

The Trump administration finalized an AI executive order that asks labs to voluntarily submit certain frontier models for a 30-day government security review before launch, cutting the originally proposed 90-day window.

The order also confirms there will be no mandatory licensing system for AI models, while directing federal agencies to focus enforcement efforts on AI-powered cyberattacks and hacking activity.

💰 Sanders proposes public AI fund

Bernie Sanders previewed new legislation that would place half the equity of the largest AI companies into a public sovereign wealth fund, with returns flowing back to Americans.

Sanders said the proposal would also give the government voting rights and board representation at major AI firms, arguing that the benefits of AI should be shared more broadly across society.

The conversation around AI is increasingly shifting from what models can do to who controls them and who benefits from their success. These proposals highlight two competing visions for the future of AI: faster innovation with limited oversight versus broader public participation in the industry's economic gains.

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🏆 Tools you Cannot Miss:

📈 Natiad – Helps brands rank higher on Google and increase their chances of being cited by AI search engines like Gemini for long-term traffic growth.

🎙️ Cleanaudio – Removes background noise, echo, traffic sounds, and microphone hum to deliver studio-quality audio with one click.

🗣️ VoiceOS – Lets you control apps and complete tasks using voice commands to work faster and reduce manual effort.

🤖 AIsa – Provides the infrastructure AI agents need for reasoning, actions, payments, and deployment with pay-per-use pricing.

🏠 Manifest – Builds and manages a home inventory from photos, receipts, or voice notes while tracking warranties, recalls, insurance records, and resale value.

🚀 Quick Hits

💧 Google unveiled a plan to become water positive by 2030, pledging to replenish more water than its data centers consume, invest in local water infrastructure, and use alternative water sources as AI-driven data center expansion accelerates.

⚖️ The UK’s CMA ruled that Google must let publishers opt out of AI Overviews, AI Mode, and AI training, while requiring clearer attribution and links. Google has begun testing new publisher controls and plans a broader rollout. 

👀 Meta has scaled back its Model Capability Initiative (MCI) after employee backlash. Staff can now pause tracking for up to 30 minutes, while employees handling sensitive content, working remotely, or facing device concerns can be exempt. 

💸 Uber capped employee AI tool spending at $1,500 per month per tool after exhausting its entire annual AI budget in just four months. 

🏢 OpenAI expanded Codex beyond coding, reporting 5 million weekly active users and 6× growth since February. It launched six enterprise-focused tools, plus new Sites and Annotations features for knowledge workers.

🧩 Prompt of the Day

Form Field Reduction That Increases Conversions

Most forms ask for more information than they need. Every extra field creates friction, increases abandonment, and reduces completion rates.

Turn your forms into fast, low-effort conversion paths.

Paste the prompt: Drop this into ChatGPT, then fill in your form details.

Prompt to paste

Create a form field reduction strategy for [Insert sign-up form, checkout flow, or lead capture page]. Audit all current form fields and classify each as essential, optional, or unnecessary. Identify opportunities to reduce data collection without impacting business goals, and recommend a streamlined version of the form. Explain how each removed field could improve completion rates, user experience, and conversions. Focus on minimizing friction while still capturing the information needed for sales, fulfillment, or customer onboarding.

🤳AI Nugget of the Day

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