The Everyday AI podcast is a daily livestream, podcast and free newsletter where we help everyday people grow their careers with AI. The Everyday AI podcast is hosted by Jordan Wilson, a former journalist who's now the owner of a boutique digital strategy company with 20 years of martech experience.  Our main focus is to help you keep up with AI trends to make your job easier. Get your work done faster. Increase your output.  - Sign up for our free Prime Prompt Polish ChatGPT course: https://podPPP.com- Make sure to sign up for our daily newsletter at: https://youreverydayai.com- Email us: info@youreverydayai.com- Connect with Jordan on LinkedIn: https://www.linkedin.com/in/jordanwilson04/In the Everyday AI podcast, we'll cover all things artificial intelligence, machine learning, and practical tips on how to use both in your daily life. We'll include a touch on a variety of topics, software and applications. We may be covering the latest AI news from Microsoft, Google, Facebook, Adobe and social channels like Snapchat, Tiktok, and Instagram. Or, we may be diving into software like ChatGPT, Midjourney, Bard, or Runway ML.Â
The Everyday AI Podcast – An AI and ChatGPT Podcast is truly a remarkable podcast that has been a game-changer for me. From the first episode I listened to, it became clear that this podcast was going to be something special. The host, Jordan Wilson, has an incredible ability to engage his guests and captivate the audience with his manner of speaking and beautiful dialogues. The topics covered on this podcast are diverse and informative, ranging from future careers in AI to the impacts of AI on HR. Each episode is carefully crafted to provide valuable insights and knowledge to the listeners.
One of the best aspects of this podcast is Jordan Wilson's interviewing style. He has a unique approach of engaging the guest on every episode, which keeps the audience paying rapt attention throughout. His ability to dive deep into various topics and extract valuable information from his guests is truly admirable. I have found myself eagerly awaiting each new episode, as I know I will come away with new ideas and perspectives.
Another great aspect of this podcast is its practicality. As an instructional designer and college instructor trying to incorporate AI into my work, I have found this podcast to be an invaluable resource. The information provided is not only insightful but also highly applicable in real-world scenarios. It has helped me expand my understanding of AI and provided me with the tools necessary to integrate it effectively into my classroom and work environment.
However, there are no major downsides to this podcast that I can identify. Some may argue that certain episodes might go off-topic or veer into tangents during conversations, but personally, I find that these unexpected turns lead to even more interesting discussions. Overall, The Everyday AI Podcast remains engaging and informative throughout.
In conclusion, The Everyday AI Podcast – An AI and ChatGPT Podcast is undoubtedly one of the best podcasts available today. It offers a wealth of knowledge on various aspects of AI while keeping the audience engaged through captivating interviews and thought-provoking discussions. Whether you are a beginner looking to learn more about AI or an expert seeking new insights, this podcast has something for everyone. I highly recommend giving it a listen and following Jordan Wilson on LinkedIn and YouTube for even more valuable content.
Jeetu Patel knows a few AI secrets. As the President of one of the largest companies in the world, he's helped pave the AI adoption roadmap. At Cisco, they provide full-stack, enterprise AI solutions spanning infrastructure, security, observability, and operations to the world's largest companies. So naturally, Jeetu could write a legit playbook on what's slowing enterprises down in the AI fast lane and how they can overcome those bottlenecks. And naturally, Jeetu is gonna share it all with us. The 3 Big Obstacles Holding AI Adoption Back -- An Everyday AI Chat with Cisco President Jeetu PatelNewsletter: Sign up for our free daily newsletterMore on this Episode:Episode PageJoin the discussion on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:Enterprise AI Adoption Rates & ChallengesAI Workflow Automation Phase ExplainedThree Big Obstacles to AI AdoptionInfrastructure Constraints for Enterprise AITrust Deficit in AI SystemsData Gaps Impacting AI SuccessMeasuring ROI on Enterprise AI DeploymentFuture Trends: Agentic AI and Original InsightsTimestamps:00:00 AI Adoption Challenges in Enterprise05:18 AI Adaptation: The Key Strength08:56 AI Infrastructure and Trust Challenges10:23 Building Trust and Harnessing Data13:27 Unsatiated Demand Signals Growth19:12 Proactive AI Model Safeguards22:07 AI Strategy and Business Growth26:09 Key Metrics for AI Success28:10 Guardrails for AI Vulnerabilities31:34 AI Unlocking Revolutionary DiscoveriesKeywords:AI adoption, obstacles to AI adoption, enterprise AI, generative AI, AI strategies, chatbots, autonomous agents, workflow automation, business productivity automation, infrastructure for AI, AI power consumption, data center capacity, compute capacity, GPUs, Nvidia, AMD, network bandwidth, CapEx in AI, AI bubble, national security and AI, economic growth and AI, AI trust deficit, securing AI, AI safety, AI hallucinations, large language models, model unpredictability, AI guardrails, algorithmic jailbreak, AI security stack, AI defense, company data as moat, AI data pipeline, data gap in AI, machine data, human data, synthetic data, time series data, data correlation, AI model training, AI ROI, trust in AI systems, agentic workflows, future of AI, robotics, humanoid AI, physical AI, original insights with AI, economic prosperity with AI, AI-generated knowledge, workflow automation with AI agents, scaling AI in enterprisesSend Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Ready for ROI on GenAI? Go to youreverydayai.com/partner
Did AI end up being a political force this year?
Don't lie -- when you open ChatGPT, you're looking for a quick copy-and-paste solution. We've all been there. What if I told you that was kinda the worst way possible to use some of the world's most powerful technology. Spoiler alert: it kinda is. Make sure to catch today's episode for some creative frameworks to change how you use LLMs. Creative Frameworks for Problem-Solving with Generative AI -- An Everyday AI Chat with Jordan Wilson (PS - Was hoping to have the PT. 2 Roadmap review ready to go, but feeling under the weather. Pt 2 will drop soon!)Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion:Thoughts on this? Join the convo and connect with other AI leaders on LinkedIn.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:Creative Frameworks for Generative AI Problem SolvingHuman Agency vs. AI Efficiency DebateUsing Large Language Models as Thought PartnersPrompt Engineering vs. Context Engineering EvolutionGeneric Parts Technique for Abstract ThinkingSCAMPER Framework for Business InnovationHuman-AI Collaboration: Enhancing Creative OutputsOvercoming Cognitive Biases in AI-Assisted StrategyTimestamps:00:00 "Using AI as Thought Partner"04:06 "AI's Role in Creative Problem-Solving"08:13 "Broadening Problem-Solving Approaches"13:11 "Using Multiple Tools for Insight"15:07 "SCAMPER Framework Explained"17:32 "Rethinking Problems with SCAMPER"22:24 "Embracing Difference in Expertise"24:45 "Building Creative Confidence"Keywords:Generative AI, problem solving frameworks, creative frameworks, large language models, AI thought partner, augmenting human intelligence, creative problem solving, prompt engineering, context engineering, agency over output, human-AI partnership, divergent thinking, convergent thinking, psychological distance, cognitive bias, creative confidence, creative agency, generic parts technique, SCAMPER framework, substitute, combine, adapt, modify, put to another use, eliminate, reverse, creative velocity, innovation, agentic capabilities, iterative problem solving, model reasoning, human in the loop, decision making, strategy, domain transfer, abstraction, functionally fixated thinking, solution exploration, pain point analysis, authentication, friction reduction, workflow improvement, technology product management, practical AI use cases, collaborative AI techniques, business problem solving, structured problem solving, metacognition, challenging output quality,Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Ready for ROI on GenAI? Go to youreverydayai.com/partner
We don't do AI predictions lightly. Everyday AI is trusted by millions each year to help guide them through the muddy AI waters. So in the same way you'd want transparency out of your AI models, we're rolling back the clock on our January 2025 AI predictions we dished with our Roadmap Review. We're busting out the receipts. At the time, these AI predictions seemed nutty. So, did we lead you astray? Or, did we pave the road to paydirt? Let's dive in y'all. 2025 AI Roadmap Rewind: From AI Agent Orchestrators to Deepfakes. The New Tech Order -- An Everyday AI Chat with Jordan WilsonNewsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion:Thoughts on this? Join the convo and connect with other AI leaders on LinkedIn.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:AI Agent Orchestrators as Job TitleAI Agents in Company Hiring TrendsEnterprise Reasoning Data Collection GrowthAI Driving Professional Services Pricing CrisisUniversal Basic Income and AI Job LossOpen Source AI Models Surpassing ProprietaryChinese AI Model Global Market ImpactPerplexity Answers Engine Business PivotFrontier AI API Price DropsVC Funding Surge in Embodied AIAdvancements in AI Video Generation ToolsAI's Disruption of Traditional Internet ModelsSocial Media Deepfake Misinformation SurgeTimestamps:00:00 "2025 AI Predictions Explained"04:02 "2025 AI Predictions Insights"08:49 AI Agents Classified as Employees11:23 "Transformers vs. Reasoning Models"16:15 AI Impact on Consulting Jobs18:51 "AI Impacts Jobs, Spurs UBI"23:12 Open Models Surge in AI27:13 "Perplexity's AI Pivot Journey"29:23 "Embodied AI Sector Growth"31:36 "Embodied AI Transforms Logistics"36:42 "AI-Driven Internet Future"39:16 Deepfake Fraud Crisis Escalates42:25 AI Success Roadmap RevealedKeywords:Agent orchestrators, AI agent orchestration, AI job titles, orchestration engineer, AI agent architect, human-AI collaboration leader, Adobe agent orchestrator, AO, AI agents, digital FTEs, digital full time employees, AI agent hiring, agent compute costs, Agent Force, hiring digital labor, reasoning models, company reasoning data collection, reasoning token consumption, synthetic data generation, private reasoning engines, unstructured data, proprietary data, professional services pricing crisis, law sector AI disruption, consulting AI transformation, accounting Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Ready for ROI on GenAI? Go to youreverydayai.com/partner
Weird week in AI.
AI investments? Everywhere. AI training? .......
Algorithms and automations have been buds for a decade plus.
Capabilities? Through the roof? Usage? Ground floor.Claude Agent Skills might be one of the most useful features of any front-end LLM. Yet....it's crickets in terms of chat around it. For this 'AI at Work on Wednesday' episode, we're breaking it down for beginners and will have you spinning up your own Claude Agent Skills in no time. Claude Skills: How to build Custom Agentic Abilities for beginners -- An Everyday AI Chat with Jordan WilsonNewsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion:Thoughts on this? Join the convo and connect with other AI leaders on LinkedIn.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:Claude Skills Agentic Features OverviewDifferences: Claude Skills vs. GPTs vs. GEMSModular Agentic Workflow File StructureStep-by-Step Guide: Building Claude SkillsClaude Skills YAML/Markdown Setup ProcessTesting and Validating Custom Claude SkillsAdvanced Capabilities: Executable Code & Sub-AgentsCommon Troubleshooting for Claude Skills CreationTimestamps:00:00 "Claude Skill Library Unveiled"06:27 "Claude Skills Explained"07:29 Custom GPTs and Gems Explained11:18 Claude Skills vs Projects17:31 "Refining Skill Triggers Effectively"20:17 "Beginner Cloud Skills Best Practices"23:39 "Preferring GPT and Memory Tools"25:54 "Saving Skill File Properly"28:09 Creating Skills on Claude33:43 "Creating AI News Searcher"35:36 Claude Skills Now Available37:39 "Optimizing Claude for Knowledge Tasks"41:05 "Skill Builder Library Access"Keywords:Claude skills, Claude agent skills, custom agentic abilities, large language model, agentic workflows, specialized tasks, coding capabilities, file creation, executable code, skills library, skill builder, skill creator, markdown file, skill.md, folder structure, YAML front matter, composable skills, modular instructions, automation, prompt engineering, skill triggers, skill testing, advanced features, API skill versioning, governance and efficiency,Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Vibe coding is dead simple. Head to AI.Studio/build to create your first app. Vibe coding is dead simple. Head to AI.Studio/build to create your first app.
OpenAI is (reportedly) in full panic mode.
OpenAI has launched a code red.
How can you scale AI at the enterprise, yet still hit your climate goals? And can heavy AI usage and an enterprise's ESG mission co-exist? Ashutosh Ahuja lays it out for us. Aligning AI With Climate And Business Goals -- An Everyday AI Chat with Jordan Wilson and Ashutosh AhujaNewsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion:Thoughts on this? Join the convo and connect with other AI leaders on LinkedIn.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:AI's Environmental Impact and Climate ConcernsCompanies Aligning AI with ESG GoalsAI Adoption Versus Carbon Footprint TradeoffsMetrics for Measuring AI's Environmental ImpactBusiness Efficiency Gains from AI AdoptionReal-World Examples: AI Offsetting Carbon FootprintIndustry Opportunities for Sustainable AI IntegrationFuture Trends: Efficient AI Models and Edge ComputingTimestamps:00:00 Everyday AI Podcast & Newsletter05:52 Balancing Progress and Legacy07:03 "Should Companies Limit AI Usage?"12:02 "Sentiment Analysis for Business Growth"17:07 "Energy Efficiency Impacts ESG Metrics"19:40 Robots, Energy, and AI Opportunity21:41 AI Efficiency and Climate Balance25:04 "Trust Instincts in Investments"Keywords:AI and climate, climate goals, aligning AI with ESG, environmental impact of AI, carbon footprint, energy use in AI data centers, water cooling for GPUs, sustainable business practices, enterprise AI strategy, ESG compliance, climate pledges, AI adoption in business, carbon footprint metrics, machine learning for sustainability, predictive analytics, ethical AI, green AI solutions, renewable energy sector, AI in waste management, camera vision for waste sorting, delivery robots, edge AI, small business AI implementation, AI efficiency, sentiment analysis, customer patterns, predictive maintenance, IoT data, auto scaling, cloud computing, resource optimization, SEC filings, brand sentiment tracking, LLM energy consumption, environmental considerations for AI, future of AI in climate action, business efficiency, human in the loop, philanthropic business practices, sustainable architecture, large language models and climate, tech industry climate initiatives, AI-powered resource savings, operational sustainability.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Ready for ROI on GenAI? Go to youreverydayai.com/partner
You're probably using AI agents without even knowing it.
This is Vibe Coding 001. Have you ever wanted to build your own software or apps that can just kinda do your work for you inside of the LLM you use but don't know where to start? Start here. We're giving it all away and making it as simple as possible, while also hopefully challenging how you think about work. Join us. Beginner's Guide: How to visualize data with AI in ChatGPT, Gemini and Claude -- An Everyday AI Chat with Jordan WilsonNewsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion:Thoughts on this? Join the convo and connect with other AI leaders on LinkedIn.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:Combining Multiple Features in Large Language ModelsVisualizing Data in ChatGPT, Gemini, and ClaudeCreating Custom GPTs, Gems, and ProjectsUploading Files for Automated Data DashboardsComparing ChatGPT Canvas, Gemini Canvas, and Claude ArtifactsUsing Agentic Capabilities for Problem SolvingVisualizing Meeting Transcripts and Unstructured DataOne-Shot Mini App Creation with AITimestamps:00:00 "Unlocking Superhuman LLM Capabilities"04:12 Custom AI Model and Testing07:18 "Multi-Mode Control for LLMs"12:33 "Intro to Vibe Coding"13:19 "Streamlined AI for Simplification"19:59 Podcast Analytics Simplified21:27 "ChatChibuty vs. Google Gemini"26:55 "Handling Diverse Data Efficiently"28:50 "AI for Actionable Task Automation"33:12 "Personalized Dashboard for Meetings"36:21 Personalized Automated Workflow Solution40:00 "AI Data Visualization Guide"40:38 "Everyday AI Wrap-Up"Keywords:ChatGPT, Gemini, Claude, data visualization with AI, visualize data using AI, Large Language Models, LLM features, combining LLM modes, custom instructions, GPTs, Gems, Anthropic projects, canvas mode, interactive dashboards, agentic models, code rendering, meeting transcripts visualization, SOP visualization, document analysis, unstructured data, structured insights, generative AI workflows, personalized dashboards, automated reporting, chain of thought reasoning, one-shot visualizations, data-driven decision-making, non-technical business leaders, micro apps, AI-powered interfaces, action items extraction, iterative improvement, multimodal AI, Opus 4.5, Five One Thinking, Gemini 3 Pro, artifacts, demos over memos, bespoke software, digital transformation, automated analyticsSend Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Ready for ROI on GenAI? Go to youreverydayai.com/partner
You've been lied to about AI.
Claude Opus 4.5 has entered the Chat.
"... best model in the world..."
Even if you've banned AI, your employees are 100% using it.
Wildest week in AI since December 2024.
Yeah, agnetic browsers can do your work for you.
Richard Seroter is a Chief Evangelist at Google.
You ever see a new AI model drop and be like.... it's so good OMG how do I use it?
Gemini 3 is officially here. ✨ ✨ ✨For about 8 months, Gemini 2.5 Pro has mostly maintained its standing as the top LLM in the world yet Google just unleashed its successor in Gemini 3.0. So, what's new in Gemini 3? And whether you're a developer or casual user, what does Google's new model unlock? Join us as we chat with Google's Logan Kilpatrick's for all the answers. Gemini 3: What's new and what it unlocks for your business with -- An Everyday AI Chat with Google DeepMind's Logan Kilpatrick and Jordan WilsonNewsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Thoughts on this? Join the convo and connect with other AI leaders on LinkedIn.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:Gemini 3 Release Overview & FeaturesState-of-the-Art AI Benchmarks ExceededGemini 3 in Google Ecosystem ProductsGemini 3 Vibe Coding Capabilities DemoNon-Developer Use Cases for Gemini 3Multimodal Understanding and VisualizationsAgentic AI Tools: Gemini Agent & Anti GravityBusiness Growth with Gemini 3 AI IntegrationTimestamps:00:00 Gemini 3: State-of-the-Art AI05:59 "Gemini 3: Build Ambitiously"08:16 "AI Studio: Bringing Ideas Alive"12:44 Gemini App Agents & Anti-Gravity14:57 "Enhancing AI as a Thought Partner"17:01 AI Studio: Build Apps FasterKeywords:Gemini 3, Gemini 3 Pro, Google AI, AI Studio, Vibe Coding, multimodal model, agentic coding, tool calling, anti gravity, generative interfaces, Gemini app, APIs, AI capabilities, interactive experience, visual dashboard, bespoke visualization, state-of-the-art model, developer platform, agentic developer tools, benchmark results, code editor, IDE integration, product experiences, infrastructure teams, triage inbox, personal assistant, proactive agents, 2.5 Pro, model capability, product feedback, code generation, gallery applets, build mode, ambition in AI, software engineering, feature enhancement, thought partner, AI-powered building, on demand experience, interactive visualizations, coding advancements, user engagement, real-time rollout.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Head to AI.studio/build to create your first app. Head to AI.studio/build to create your first app.
Buckle up AI world. OpenAI released a new model, and apparently they're not done. Google is reportedly dropping Gemini 3 in hours. Jeff Bezos is going back hands-on building a new AI company. And that's just the tip of the AI iceberg this week. Don't get drowned out in the noise. On Monday, we cut it straight with the AI news that matters. Gemini 3 close to release, OpenAI drops GPT-5.1, Bezos to lead new AI startup and more AI News That MattersNewsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Thoughts on this? Join the convo and connect with other AI leaders on LinkedIn.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:OpenAI GPT-5.1 Release & FeaturesGPT-5.1 Personality Controls ExplainedGPT-5.1 Thinking vs. Instant ModelsGoogle NotebookLM Deep Research UpdateNotebookLM Image & File Type SupportAnthropic $50B AI Data Center ExpansionAnthropic Claude Cyberattack IncidentOpenAI ChatGPT Group Chat Pilot LaunchJeff Bezos Project Prometheus AI StartupMeta AI Chief Yann LeCun Exit RumorsMicrosoft Fairwater AI Data Center LaunchGoogle Gemini 3 Anticipated Release UpdateNano Banana Pro Image Generator LeaksMulti-Agent Systems in Gemini EnterpriseOpenAI GPT-5.1 Prompt Cookbook ReleaseTimestamps:00:00 OpenAI Launches GPT 5.107:06 "GPT 5.1: Better, Yet Wordy"09:08 "AI Updates and Insights"11:19 NotebookLM Updates with Spreadsheet Support16:38 "ChatGPT Group Chat Collaboration"21:00 Bezos Co-CEO of AI Startup25:29 Meta's AI Overhaul Sparks Chaos28:13 "AI Exploited for Cyberattacks"30:53 "Microsoft Expands AI Data Centers"35:37 "Nano Banana Pro & Gemini 3"40:12 AI Updates: GPT-5.1 Features40:58 "AI News & Insights Weekly"Keywords:Gemini 3, Google AI, AI model release, GPT 5.1, OpenAI, AI conversational model, reasoning behavior, personality controls, compliance improvements, auto routing feature, thinking vs instant models, data center investment, Anthropic,Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Head to AI.studio/build to create your first app. Head to AI.studio/build to create your first app. Head to AI.studio/build to create your first app.
Everyone knows AI needs your data to truly work. But, what about your company's reasoning?
What happens when the web is all bots and AI?
You probably missed these NotebookLM updates.
Apple is paying Google $1 billion because it failed at AI.
Could a model named…. Kimi K2 Thinking wreak havoc on the U.S. AI scene?
There's like a bajillion AI agents.
Is it AI failure or AI success?
Three words to Google Gemini and you can kiss your PowerPoint woes goodbye.
OpenAI: reportedly losing $12 billion a quarter.
Big AI deals.
ChatGPT Agents and Atlas have taken all the spotlight.
In an AI push, Amazon has already axed 14,000 jobs and that total is reportedly going to hit 30,000.
One small but fatal flaw of most LLMs?
ChatGPT ads are coming.
Apparently this week was the week of Agentic Browsers?
Blink and you've missed a few dozen Microsoft AI updates. And obviously agentic browser updates in Edge. If you missed Microsoft's Copilot Sessions Fall Update, then you might be stuck scratching your head trying to decipher AI updates like that one street sign that no one understands. Don't worry. We did the homework for you. Join us as we break down Microsoft's most important announcements — yes, including new agentic browser features for Edge — in an easy-to-understand episode.Microsoft's surprise AI updates: 5 categories of new AI tools and features — An Everyday AI chat with Jordan WilsonNewsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Thoughts on this? Join the convo and connect with other AI leaders on LinkedIn.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:Microsoft Copilot Fall AI Updates OverviewFive Categories of New AI FeaturesCopilot Groups Collaborative AI Chat FunctionMico Animated Copilot Avatar IntroductionCopilot Memory and Personalization ToolsLong-Term Memory and Forget ControlsCopilot Real Talk Conversational ModeNew Copilot Connectors for Google and MicrosoftProactive Actions for Deep Research SessionsMicrosoft Edge Copilot Agentic Browsing FeaturesHands-Free Voice Browsing and Tab ReasoningCopilot "Hey Copilot" Wake Word IntegrationCopilot Vision On-Screen Content AnalysisCopilot Home: File Opening and SummarizationTimestamps:00:00 Everyday AI for Business Growth04:48 Microsoft's AI Strategy: Following Leaders09:21 Shared AI Sessions Revolutionize Collaboration13:29 Copilot's Work-Focused Utility14:22 Chat Referencing and Context Resumption18:59 Microsoft Copilot Updates Explained23:45 Copilot Settings and AI Actions25:48 Copilot: Auto-Organized Topic Journeys30:00 Hey Copilot: Hands-Free Productivity32:41 Copilot Home: AI-Driven Productivity34:40 Copilot Fall Release ReviewKeywords:Microsoft AI updates, Copilot, Copilot Fall Release, Microsoft Edge, agentic browsing, AI features, Copilot mode, AI tools, Mico, Clippy AI, animated avatar, Copilot groups, group chat AI, collaborative AI chat, persistent long term memory, AI memory features, conversational forget controls, real talk mode, AI personalization, AI context window, connectors, Google integration, OneDrive, Outlook, GmailSend Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Make NotebookLM your personal expert. Try it at notebooklm.google.com Make NotebookLM your personal expert. Try it at notebooklm.google.com
(Kinda) Hot take
ChatGPT just released their agnetic browser, Atlas.
Uber is paying its drivers as little as $1 to train LLMs.
Could the combo of ChatGPT and Wal-Mart take on Amazon?
AI hype is well over.
Jeetu Patel knows a few AI secrets. As the President of one of the largest companies in the world, he's helped pave the AI adoption roadmap. At Cisco, they provide full-stack, enterprise AI solutions spanning infrastructure, security, observability, and operations to the world's largest companies. So naturally, Jeetu could write a legit playbook on what's slowing enterprises down in the AI fast lane and how they can overcome those bottlenecks. And naturally, Jeetu is gonna share it all with us. The 3 Big Obstacles Holding AI Adoption Back -- An Everyday AI Chat with Cisco President Jeetu PatelNewsletter: Sign up for our free daily newsletterMore on this Episode:Episode PageJoin the discussion on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:Enterprise AI Adoption Rates & ChallengesAI Workflow Automation Phase ExplainedThree Big Obstacles to AI AdoptionInfrastructure Constraints for Enterprise AITrust Deficit in AI SystemsData Gaps Impacting AI SuccessMeasuring ROI on Enterprise AI DeploymentFuture Trends: Agentic AI and Original InsightsTimestamps:00:00 AI Adoption Challenges in Enterprise05:18 AI Adaptation: The Key Strength08:56 AI Infrastructure and Trust Challenges10:23 Building Trust and Harnessing Data13:27 Unsatiated Demand Signals Growth19:12 Proactive AI Model Safeguards22:07 AI Strategy and Business Growth26:09 Key Metrics for AI Success28:10 Guardrails for AI Vulnerabilities31:34 AI Unlocking Revolutionary DiscoveriesKeywords:AI adoption, obstacles to AI adoption, enterprise AI, generative AI, AI strategies, chatbots, autonomous agents, workflow automation, business productivity automation, infrastructure for AI, AI power consumption, data center capacity, compute capacity, GPUs, Nvidia, AMD, network bandwidth, CapEx in AI, AI bubble, national security and AI, economic growth and AI, AI trust deficit, securing AI, AI safety, AI hallucinations, large language models, model unpredictability, AI guardrails, algorithmic jailbreak, AI security stack, AI defense, company data as moat, AI data pipeline, data gap in AI, machine data, human data, synthetic data, time series data, data correlation, AI model training, AI ROI, trust in AI systems, agentic workflows, future of AI, robotics, humanoid AI, physical AI, original insights with AI, economic prosperity with AI, AI-generated knowledge, workflow automation with AI agents, scaling AI in enterprisesSend Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Ready for ROI on GenAI? Go to youreverydayai.com/partner
You haven't used ChatGPT's Apps yet?
Will this be AI's 'App Store Moment'?
OpenAI debuted the future of ChatGPT with Agents and Apps. How will that impact work?
Breaking: Google just released Gemini Enterprise.
How can you measure ROI on GenAI for your team?
Have you been sleeping on NotebookLM?
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