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Microsoft has openly admitted that its Copilot AI is not working as reliably as expected, and that honesty sets the tone for a broader reality check for corporate professionals who should remember that even AI needs supervision and a backup plan. At the same time, Meta is placing a $3 billion bet on AI agents by acquiring Manus, which signals that while today’s tools stumble, tomorrow’s workplace will be filled with smarter bots that work nonstop and still expect you to manage them. And as Google turns a simple selfie into a full body virtual try on experience, it becomes clear that AI is rapidly moving from fixing your emails to shaping daily decisions, giving professionals a chuckle and a warning about how much of work and life they are ready to hand over.

Here's what's making headlines in the world of AI and innovation today.

In today’s AI Pulse

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• 📈 The AI Report – Daily AI updates for people who lead.

• ⚠️ Microsoft – Admits Copilot Is Not Reliable.

• 🤖 Meta – Bets Big On AI Agents.

• 👗 Google – Turns Selfies Into Virtual Try-Ons.

• ⚡ Quick Hits – IN AI TODAY

• 🛠️ Tool to Sharpen Your Skills –🎓 AIGPE® 8D Problem Solving Specialist (Accredited)

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🔧 Satya Nadella Admits Copilot Is Broken

🧠The Pulse

Microsoft CEO Satya Nadella admitted to senior managers that Copilot’s integrations with Gmail and Outlook aren’t working well. He’s personally filing bug reports, hosting weekly engineering sessions and recruiting talent to fix the product. Research shows AI agents fail 70 % of tasks, fuelling urgency to improve Copilot quickly now.

📌The Download

• Admission of flaws: Microsoft CEO Satya Nadella told senior managers that Copilot’s Gmail and Outlook integrations “don’t really work” and acknowledged the product needs significant improvement to meet customer expectations. His remarks surprised employees used to polished messaging.

• Hands‑on leadership: Nadella is personally filing bug reports, holding weekly meetings with engineers and recruiting AI specialists to accelerate fixes. He even calls engineers directly for updates, demonstrating how seriously Microsoft views Copilot’s shortcomings.

• Performance concerns: Independent research shows AI agents fail about 70 % of tasks, raising questions about the readiness of generative assistants and fuelling user frustration. Early adopters complain that Copilot features on Windows and smart TVs are unreliable and often intrusive.

• Competitive pressure: With Google, Apple and startups racing to launch productivity agents, Microsoft fears losing share. The company’s internal focus aims to catch up and deliver a reliable digital worker before competitors dominate this nascent market now.

💡What This Means for You

As you experiment with AI assistants, expect bumps along the way. Microsoft’s honesty shows maturity, but it also warns users not to rely on unproven integrations for critical tasks. Build contingency plans, provide feedback and monitor competitors’ offerings before committing your workflow to a single platform for daily productivity now.

🤖 Meta’s $3B Manus Grab Shows AI Agents Are Hot

🧠The Pulse

Meta is acquiring startup Manus for an estimated $2–3 billion. Manus developed a general AI agent that’s said to outperform competitors. Having relocated from China to Singapore amid geopolitical tension, Manus will bring its agent into Meta’s ecosystem, strengthening AI capabilities across Messenger and WhatsApp in the coming years globally.

📌The Download

• Price tag: Meta is paying between $2 billion and $3 billion to acquire Manus, making it Meta’s largest AI deal and signalling appetite for proprietary generative models despite industry caution. Sources say the purchase is expected to close quickly.

• Agent advantage: Manus built a general AI agent capable of complex tasks; early tests show it outperforming DeepResearch, giving Meta a competitive edge in agentic systems. Its agent can summarise documents, chat and perform research tasks.

• Geopolitical move: Manus relocated from China to Singapore amid U.S.–China tensions, with investors including Benchmark, Tencent and Alibaba. The move allowed the company to attract capital while sidestepping geopolitical scrutiny.

• Integration strategy: Meta plans to fold Manus’s agent into Meta AI and leverage WhatsApp’s business footprint to deliver smarter support and commerce tools, which analysts see as a natural fit for adoption. The acquisition underscores Meta’s strategy to build AI capabilities across messaging and commerce.

💡What This Means for You

Meta’s purchase hints that AI agents will soon permeate everyday tools. Professionals using Meta’s platforms for customer service or marketing should anticipate smarter chatbots that can summarise, research and assist. However, competition among AI agents may bring rapid changes and potential compatibility challenges as standards evolve and regulations loom quickly.

👗📸 Selfie Try‑On Revolution

🧠The Pulse

Google’s virtual try‑on tool now only requires a selfie to create a full‑body digital avatar. Using the Nano Banana model, the AI generates a realistic image showing how clothes fit. U.S. shoppers can try billions of products more conveniently and personally, enhancing online fashion shopping.

📌The Download

• Selfie‑based try‑on: Google’s virtual try‑on tool now lets U.S. shoppers generate a digital avatar using only a selfie. No full‑body photo is required, simplifying the process for online fashion exploration and lowering barriers to adoption.

• Generative model: The tool uses Google’s Nano Banana model to produce images of users. After selecting a preferred image and size, shoppers can virtually try on clothes from billions of products across Google Shopping, seeing realistic fits.

• Personalisation: By showing how garments look on your body type and style preferences, the tool aims to reduce returns and increase confidence. Personalised previews can improve satisfaction and encourage experimentation with new looks easily.

• Integration: The try‑on feature works within Google Shopping and across the Shopping Graph, highlighting how generative AI can personalise e‑commerce. It ties into Google’s broader effort to enhance online retail experiences with powerful visuals.

💡What This Means for You

For shoppers and marketers, the selfie‑based try‑on makes e‑commerce more engaging. Expect improved product personalisation and potentially fewer returns. Retailers should prepare for customers demanding accurate fit previews and adapt inventory and marketing strategies accordingly to leverage generative AI’s personalisation and stay ahead of competition globally.

IN AI TODAY - QUICK HITS

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Short, sharp updates to keep your finger on the AI pulse.

• DeepFleet Robots Optimise: Amazon announced it has deployed its one millionth warehouse robot and introduced a generative‑AI foundation model called DeepFleet to coordinate its robotic fleet. The AI improves route efficiency by about 10 % across fulfilment centres, speeding deliveries and lowering costs while strengthening Amazon’s robotics leadership around the globe.

• Pro Models Expanded: Google expanded Gemini 3 Pro and Nano Banana Pro models to nearly 120 countries in AI Mode for Search. These Pro tiers provide advanced reasoning and generative imagery. U.S. users receive free access while subscribers get higher usage limits, signalling Google’s push to democratise sophisticated AI for professionals.

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🙌 About Us

AI Pulse is the official newsletter of AIGPE®. Our mission: help professionals master Lean, Six Sigma, Project Management, and now AI, so you can deliver breakthroughs that stick.

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