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Igniting Strategy: How Copilot’s announcements change your creative strategy

OpenAI targets Google with browser plans, Apple reportedly working on conversational Siri, Anthropic secures $4 billion from Amazon and more!

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Everyday AI
November 22, 2024

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“We’re not being as creative as we can be when we think about AI,” says Microsoft Chief Scientist and Technical Fellow Jaime Teevan.

She joins the WorkLab podcast to discuss how leaders can unlock the full potential of AI for better brainstorming, idaeation, and collaboration.

Learn more on WorkLab, available wherever you get your podcasts.

Outsmart The Future

Today in Everyday AI
6 minute read

🎙 Daily Podcast Episode: With Microsoft’s new Copilot announcements changing the way we work, we need to adapt accordingly. How do we do that? We lay out how to approach your creative strategy to grow your biz. Give it a listen.

🕵️‍♂️ Fresh Finds: Gemini and o1 tie for #1 LLM, NVIDIA releases small hybrid model and Coca-Cola responds to AI ad backlash. Read on for Fresh Finds.

🗞 Byte Sized Daily AI News: OpenAI targets Google with browser plans, Apple reportedly working on conversational Siri and Anthropic secures $4 billion from Amazon. For that and more, read on for Byte Sized News.

🚀 AI In 5: We found one of the best GPTs yet! See how it’ll save you tons of time. See it here

🧠 Learn & Leveraging AI: We’re laying out a creative strategy on how to implement AI like Copilot into your business successfully. Keep reading for that!

↩️ Don’t miss out: Did you miss our last newsletter? We talked about Copilot Studio, a new LLM beating o1 model, OpenAI deleting data in NYT lawsuit, and Trump's AI policy reversal. Check it here!

Igniting Strategy: How Copilot’s announcements change your creative strategy 💡

What happens when a company like Microsoft changes the rules of work, seemingly overnight?

We have to change the way we play the game.

In today's episode of Everyday AI, we're not just breaking down what's new in Microsoft Copilot, but how everything Microsoft announced at Ignite is going to change your biz strategy.

Carolina Milanesi, President and Principal Analyst at Creative Strategies, joins us to discuss.

Join the conversation and ask Jordan and Carolina questions on AI strategy here.

Also on the pod today:

• AI and Business Strategy 🧠
• Adoption and Implementation of AI 🤖
• AI and Work Culture Transformation 🏢

It’ll be worth your 26 minutes:

Listen on our site:

Click to listen

Subscribe and listen on your favorite podcast platform

Listen on:

Here’s our favorite AI finds from across the web:

New AI Tool Spotlight – Polymet is an AI product designer, Magic Inspector is an AI web test automation platform and Nuvio provides AI-powered financial management.

Google – Google DeepMind has released a new Gemini update that puts it tied at #1 with OpenAI’s o1.

Trending in AI – Coca-Cola has responded to the backlash from a recent AI-generated AI and stands by its decision.

We’ll actually have the Global Head of AI on the show soon to chat about it!

AI Startups — AI chip startup company Matx raised $80 million, securing a $300+ million valuation from the ex-Google employees.

AI Studies — OpenAI is reportedly funding a study into ‘moral AI.’ 

YouTube – YouTube Shorts’ Dream Screen feature can now generate AI video backgrounds.

NVIDIA – NVIDIA has released Hymba, a new small hybrid model.

AI Search - Brave Search has added an AI chatbot for follow-up questions after your initial query.

AI in Media – Netflix has removed an AI-generated poster of the show Arcane and the show creators has swiftly responded to backlash.

AI in Education - A US judge has ruled that a Massachusetts student's punishment for AI use can stand.

AI in Society – A Swiss church has installed an AI-powered Jesus.

1. OpenAI Targets Google with Browser Plans 🔍

OpenAI is reportedly considering the development of its own web browser, integrating its popular ChatGPT to challenge Google's dominance. This comes as the company explores partnerships with major players in various sectors, including travel and retail, suggesting a significant expansion of its AI capabilities.

Furthermore, discussions are underway to enhance devices from Samsung, a crucial ally of Google, potentially reshaping the competitive landscape of tech giants.

2. Apple Reportedly Working on Conversational Siri 🗣

Apple is gearing up to transform Siri into a more conversational assistant, dubbed “LLM Siri,” with a planned rollout set for spring 2026, according to Bloomberg. This overhaul aims to enhance Siri's capabilities, enabling it to tackle advanced tasks and interact with third-party apps more seamlessly.

Interestingly, while Apple is moving toward a more sophisticated AI model, Craig Federighi emphasized that Siri's practical functions—like managing your smart home or sending texts—will remain its core strengths.

3. Anthropic Secures $4 Billion from Amazon 💰

Anthropic has raised an additional $4 billion from Amazon, solidifying AWS as its primary training ground for generative AI models. This collaboration will see Anthropic utilizing Amazon's custom-built Trainium chips to advance its AI capabilities, amid ongoing discussions about a potential $40 billion valuation.

As Anthropic continues to innovate with its Claude models, the partnership aims to enhance the deployment of AI technologies across various sectors, including U.S. intelligence.

4. Musk's Grok Faces Scrutiny in Medical AI Push 🏥

Elon Musk's AI chatbot, Grok, is taking a bold step into the medical field by encouraging users to upload their medical images for analysis, but early results reveal some serious missteps. While Grok has successfully identified certain conditions like breast cancer, it has also confused tuberculosis with a herniated disk and misinterpreted benign breast cysts as testicles, raising concerns among medical professionals.

Experts warn that relying on user-uploaded data may compromise both the accuracy of diagnoses and patient privacy.

5. MIT's New Algorithm Makes AI Training Easier ✅

A new study from MIT reveals a game-changing algorithm that dramatically boosts the efficiency of training reinforcement learning models, making them more reliable for complex tasks like managing urban traffic. By strategically selecting critical tasks, researchers achieved performance improvements five to 50 times greater than standard methods, meaning AI systems could learn to navigate city intersections with far less data.

This breakthrough not only improves decision-making capabilities in AI but also paves the way for applications in various fields, from robotics to smart city planning.

How to save hours with the Voxscript GPT

We found a GPT that might be one of the best and most robust GPTs out there.

Not only will it save you tons of time, but it also has some features that allow you to do things that default ChatGPT can’t.

🦾How You Can Leverage:

Apparently we just fast-forwarded 10 years into the AI future. 

Traditional ROI metrics for AI implementation just kinda died at Microsoft Ignite this week. 

Creative Strategies' President Carolina Milanesi revealed the dirty secret: Your employees are already using AI behind your back. Without guardrails. Without oversight. Without your permission.

That's not even the real problem, y’all. 

The true crisis? Enterprise leaders are still measuring AI success by time saved. Meanwhile, Microsoft just unveiled AI agents that don't just save time – they're fundamentally rewiring how global teams operate.

Milanesi stopped by Everyday AI today to reveal why most enterprise AI strategies are doomed to fail – and what the winners are doing differently. After decades analyzing tech's impact on business, she's spotted a transformation that most leaders are missing entirely.

Your competitors aren't just implementing AI. They're weaponizing it to unlock human potential in ways your quarterly metrics can't capture.

Here’s what you need to know. 👇

1 –The Hidden Talent Exodus Your AI Policy Is Triggering 👋

Carolina said your best people aren't waiting for permission to use AI. They're using it in the shadows, feeding potentially sensitive data into unauthorized models.

But banning AI isn't the answer.

The cost of replacing a single mid-level manager dwarfs any perceived risk from AI adoption. Top talent is already jumping ship to companies that get it.

The new competitive edge? It's not AI adoption speed. It's understanding how AI agents transform your humans from process managers into strategic powerhouses.

Try This

Here's how to unlock your team's hidden potential: Start by shadowing your top performers for a week. Note every task that makes them pause, every process that slows their momentum. These are your AI agent opportunities.

Next, match each friction point with Microsoft's new AI capabilities. But don't stop at automation. Design each agent to amplify your team's unique strengths.

The real measure of success? Watch as your stars tackle increasingly complex challenges. Monitor how their projects evolve from routine to revolutionary.

2 – The Fatal Flaw in Current AI Implementation 😵 

Carolina emphasized that technology and innovation alone don't create transformation – people do.

Consider this: Sales teams now deploy agents that digest years of customer history, surface pain points, and predict objections before calls even start. Three-month sales cycles compress to three weeks.

Traditional ROI metrics can't capture this shift. It's not about doing things faster. It's about doing things that were previously impossible.

Try This

Transform your client relationships with this systematic approach: Begin with your most valuable customer partnership. Map out every interaction, from casual check-ins to critical meetings.

Now, deploy AI agents as relationship amplifiers. Let them handle the heavy lifting of data analysis, meeting prep, and follow-up documentation. Your team focuses purely on deepening client connections.

Track success through relationship velocity – how quickly you can understand and act on client needs. Measure the number of meaningful insights your team surfaces in each interaction.

3 – Change your role️ 🧍

Carolina explained that AI won't necessarily do the work for you – it helps you do it more efficiently, better, and bigger. With a ton of agentic automation.

Your current AI approach treats technology as the star. That's backward. The breakthrough comes from identifying core business challenges first, then deploying AI agents specifically calibrated to amplify human expertise.

Microsoft's latest Copilot feature proves it. Non-native speakers can finally contribute at full intellectual capacity, unconstrained by language barriers.

Try This

Start with a deep dive into your team's superpowers. Gather your group and identify each person's unique expertise – those invaluable skills that no AI can replicate.

Create your human-AI amplification blueprint. Column one: list these distinctive human capabilities. Column two: current limitations holding them back. Column three: specific AI agents that can eliminate these constraints.

Measure progress by tracking breakthrough moments – those instances when your team achieves outcomes that seemed impossible just months ago. Success isn't about time saved; it's about human potential unleashed.

Stop playing catch-up with AI implementation. Start weaponizing it to unlock human potential. Your competitors already are.

⌚

Numbers to watch

96%

According to Intuit, 96% of SMBs who have tried AI believe it to be an effective tool.

Now This …

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