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    Technology

    Everyday AI Podcast – An AI and ChatGPT Podcast

    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. 

    Start Here Series Inner Circle Connect
    – 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. 

    Advertise

    Copyright: © 2024 Everyday AI Podcast – An AI and ChatGPT Podcast

    • Apple Podcasts
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    • Spotify

    Latest Episodes:
    EP 613: AI Agents: From automation to super agents. 10 AI Agents you should know in 2025 Sep 18, 2025
    Show notes

    There's hundreds of agents. 🤖
    Most you should ignore.
    These 10 though.... you've gotta know them.
    Today, we go over Agents 101, how they work, and the 10 you should be paying most attention to.
    AI Agents: From automation to super agents, 10 AI Agents you should know -- An Everyday AI Chat with Jordan Wilson


    Newsletter: Sign up for our free daily newsletter
    More on this Episode: Episode Page
    Join the discussion on LinkedIn: Thoughts on this? Join the convo on today's LinkedIn stream and connect with other AI leaders
    Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
    Website: YourEverydayAI.com
    Email The Show: info@youreverydayai.com
    Connect with Jordan on LinkedIn
    Topics Covered in This Episode:

    1. AI Agents Market Growth and Adoption
    2. Differentiating AI Agents vs. Chatbots
    3. Real vs. Fake AI Agent Identification
    4. Seven Categories of AI Agents Explained
    5. Enterprise AI Agent Use Cases & Risks
    6. Observability and Traceability in AI Agents
    7. Detailed Review: Top 10 AI Agents 2025
    8. Pros and Cons of Major AI Agent Platforms
    9. AI Agent Implementation Best Practices
    10. Five-Day Plan for AI Agent Adoption


    Timestamps:

    00:00 Navigating AI Agents Dilemma

    06:23 "AI Agents: Opportunities and Risks"

    07:44 Evolving Multi-Agent AI Systems

    11:32 AI Agents vs. Agentic Browsers

    14:32 "Empathetic AI Agents with Goals"

    17:53 "AI Oversight and Control Challenges"

    19:48 "Chat JCPT: Versatile AI Agent"

    23:12 Microsoft 365 Copilot Permission Challenges

    28:17 Agent Force: Salesforce Automation Tool

    30:13 Explore and Master AI Agent Tools

    33:35 "Replit Agent 3: Pros and Cons"

    38:23 "Genspark's Rapid Update System"

    39:40 "Manus AI: Autonomous Project Executor"

    43:36 Identify Automatable Problems First

    48:34 AI Podcast Recommendations

    49:21 "Subscribe for Daily AI Updates"


    Keywords:

    AI agents, agentic AI, autonomous agents, super agents, AI automation, AI-powered workflows, generative AI, agent washing, agentic browsers, AI chatbot, AI agent vs model, large language models, enterprise AI adoption, agentic model, self-correcting AI, planning AI, AI agent categories, autonomous software developers, general purpose task agents, enterprise workflow automators, specialized research agents, foundational platforms, agent frameworks, web automation agents, user interface automation, observability, traceability, governance, Microsoft Copilot Studio, ChatGPT agent mode, Claude Code, Google Project Mariner, AWS Bedrock agents,



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    EP 612: ChatGPT Connectors: What they are and why you NEED to rely on them daily Sep 17, 2025
    Show notes

    Remember RAG? 🤔
    When companies would spend multiple six or seven figures (and sometimes a year or more) trying to connect their enterprise data to LLMs?
    Now there's an easier way.
    ChatGPT connectors.
    In a few seconds, you can get like 80% of RAG's power for like free 99.
    Yet... so few people actually use them.
    Let's change that and put AI to Work this Wednesday.
    ChatGPT Connectors: What they are and why you NEED to rely on them daily -- An Everyday AI Chat with Jordan Wilson


    Newsletter: Sign up for our free daily newsletter
    More on this Episode: Episode Page
    Join the discussion on LinkedIn: Thoughts on this? Join the convo on today's LinkedIn stream and connect with other AI leaders
    Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
    Website: YourEverydayAI.com
    Email The Show: info@youreverydayai.com
    Connect with Jordan on LinkedIn
    Topics Covered in This Episode:

    1. ChatGPT Connectors Overview & Basics
    2. Connectors vs. Traditional RAG Comparison
    3. Setting Up and Using ChatGPT Connectors
    4. Supported ChatGPT Connector Integrations List
    5. ChatGPT Connectors Security and Permissions
    6. Modes: Chat, Deep Research, Agent, Synced
    7. Real-Time Data Access with Connectors
    8. Multi-Connector Workflow and Productivity Tips
    9. Business Use Cases for Connectors
    10. Connectors vs. RAG: Cost and Deployment
    11. Model Context Protocol (MCP) & Custom Connectors
    12. Time-Saving Connector Examples and Demonstrations
    13. Connector Best Practices for Enterprises


    Timestamps:

    00:00 "AI Weekly Workflow Overview"

    04:31 "ChatGPT Data Connectors Explained"

    09:05 Efficient App Connectors Overview

    10:12 "Enhancing Outputs with Language Models"

    13:14 "Gmail and Google Calendar Sync"

    18:36 "Setting Up AI Connectors Protocol"

    21:57 "GPT-5: Versatile Data Integration"

    24:05 "Optimize Connector Usage"

    27:37 Organizing and Formatting Information

    32:03 "Agentic Model Streamlines Document Tasks"

    34:05 "Optimizing HubSpot with GPT Connector"

    39:08 AI-Powered Task Automation Benefits

    41:16 "Maximize AI with ChatGPT Connectors"

    43:04 "Maximize AI with Data Connectors"


    Keywords:

    ChatGPT connectors, ChatGPT connector, connectors for ChatGPT, AI connectors, custom connectors, model context protocol, MCP, secure bridges, business data integration, ChatGPT integration, data sources, Google Drive connector, Outlook connector, SharePoint connector, HubSpot connector, deep research, chat search, synced connectors, agent mode, AI agents, retrieval augmented generation, RAG, mini RAG, context engineering, context sharing, proprietary data,


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    Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)


    EP 611: The Last Lectures: Why colleges still running from AI in 2025 will eventually die Sep 16, 2025
    Show notes

    If your kid's college is still banning AI.....they're not gonna make it ☠️
    ↳ Not allowing students to use ChatGPT? It'll be a useless degree.
    ↳ Using 'AI detectors' to police LLMs? Better to transfer now.
    ↳ Haven't ripped up their 2022 curriculum yet? That university is on death watch.
    I've been holding this in for a bit.
    Time for some hot takes. 🔥
    The Last Lectures: Why colleges still running from AI in 2025 will eventually die -- An Everyday AI Chat with Jordan Wilson


    Newsletter: Sign up for our free daily newsletter
    More on this Episode: Episode Page
    Join the discussion on LinkedIn: Thoughts on this? Join the convo on today's LinkedIn stream and connect with other AI leaders
    Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
    Website: YourEverydayAI.com
    Email The Show: info@youreverydayai.com
    Connect with Jordan on LinkedIn
    Topics Covered in This Episode:

    1. Collapse of US Higher Education Predicted
    2. AI Skills Gap in College Graduates
    3. College Blanket AI Bans and Policies
    4. Employer Demand for Generative AI Skills
    5. Quiet Hiring Trends and Entry-Level Jobs
    6. Plummeting Value of College Degrees
    7. Rising Cost of College Tuition
    8. AI Digital Divide in University Offerings
    9. Success Stories: AI-Forward Universities
    10. Universities Failing with AI Content Restrictions
    11. Future Predictions for Universities and AI
    12. Tech Companies Acquiring Struggling Colleges
    13. Shift to Subscription-Based Learning Models
    14. AI-Driven University Rankings and Metrics


    Timestamps:

    00:00 AI and Higher Education Concerns

    06:14 "AI's Impact on New Grad Jobs"

    09:22 University Closures and AI Policy Shift

    10:39 AI Usage Left to Instructors

    16:58 Grads Unprepared for AI Jobs

    20:58 "AI's Impact on Higher Education"

    24:25 College Costs Outpacing Inflation

    28:02 Universities Struggle with AI Detection

    30:20 Dartmouth's Confusing AI Policy

    33:10 AI Restrictions Outdated in Education?

    36:20 University Investment Disparity

    39:47 Universities Monetize Student Data

    42:24 AI Reshapes Education and Careers

    45:57 "AI's Impact on Higher Education"

    50:43 Ultimate AI Guide and Resources


    Keywords:

    AI in education, AI skills gap, colleges and universities, higher education collapse, university AI policy, blanket AI bans, generative AI, AI literacy, entry-level hiring trends, AI-driven job market, employability gap, AI skills requirement, AI digital divide, college degree value, recent college graduates, tuition inflation


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    Ready for ROI on GenAI? Go to youreverydayai.com/partner

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    EP 610: Microsoft and OpenAI change partnership, publishers partner against AI scraping, Oracle’s $300B AI play and more AI News That Matters Sep 15, 2025
    Show notes

    Microsoft and OpenAI are kinda breaking up. 😢
    Speaking of breaking up, some of the world's largest publishers have finally come together to (maybe) break up the Wild West of LLM scraping.
    Oh, and Oracle's officially putting $300 billion on the line for AI.
    Don't spend hours trying to keep up with AI. That's our job.
    Instead join us on Mondays as we bring you the AI News That Matters.
    Microsoft and OpenAI change partnership, publishers partner against AI scraping, Oracle’s $300B AI play and more -- An Everyday AI Chat


    Tune in now.

    Newsletter: Sign up for our free daily newsletter
    More on this Episode: Episode Page
    Join 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 lineup
    Website: YourEverydayAI.com
    Email The Show: info@youreverydayai.com
    Connect with Jordan on LinkedIn
    Topics Covered in This Episode:

    1. OpenAI and Oracle $300B Cloud AI Deal
    2. Oracle Joins Big Four Cloud Providers
    3. Anthropic Claude Launches File Creation Feature
    4. Claude File Creation for Enterprise and Teams
    5. Microsoft Integrates Claude Into Office 365
    6. Microsoft Copilot Adds Multi-Model AI Support
    7. Apple Loses Senior AI Executive to Meta
    8. OpenAI Adds Anthropic’s MCP Protocol to ChatGPT
    9. Major Publishers Launch Real Simple Licensing (RSL) Standard
    10. RSL Targets AI Web Scraping and Licensing
    11. Microsoft Building In-House AI Chip Clusters
    12. OpenAI–Microsoft Partnership Restructuring and Future IPO
    13. OpenAI Revenue Share with Microsoft Declines


    Timestamps:

    00:00 Generative AI Partnership Changes

    04:07 Oracle's Partnership with OpenAI: Implications

    07:43 Language Models Creating Files Explained

    14:27 Apple Struggles with AI Leadership

    16:20 OpenAI Integrates Anthropic's MCP in ChatGPT

    22:32 "Major Publishers Unite for AI Licensing"

    24:19 Impact of RSL on Publishing Industry

    29:46 Microsoft's Push for AI Independence

    31:59 OpenAI-Microsoft Partnership Restructures Future

    34:40 OpenAI-Microsoft Partnership Challenges

    39:09 Tech Updates: AI Innovations and Releases

    42:21 "Stay Updated with AI Insights"


    Keywords:

    Microsoft and OpenAI partnership, OpenAI, Microsoft, Oracle, $300 billion AI deal, Oracle Cloud Infrastructure, OCI, hyperscaler investment, generative AI demand, enterprise AI, cloud providers, Amazon Web Services, Microsoft Azure, Google Cloud, big four cloud


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    Ready for ROI on GenAI? Go to youreverydayai.com/partner


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    EP 609: The Recent Grad Crisis: How AI Broke Entry-Level Hiring Sep 12, 2025
    Show notes

    A new Oxford Economics report reveals a startling reality: since mid‑2023, 85% of the rise in unemployment has come from recent college grads — and AI is a central driver.

    We lay out the data, name the real culprits (outdated university policies and short‑term public‑company playbooks), and give clear, practical steps the younger generation can take to avoid a lost generation of talent.

    Newsletter: Sign up for our free daily newsletter
    More on this Episode: Episode Page
    Join 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 lineup
    Website: YourEverydayAI.com
    Email The Show: info@youreverydayai.com
    Connect with Jordan on LinkedIn
    Topics Covered in This Episode:

    1. AI's Impact on Graduate Unemployment
    2. University AI Skills Gap
    3. Corporate AI Quiet Firing Trend
    4. Future Workforce and AI Integration
    5. Structural Collapse in Entry-Level Hiring
    6. Greedy Fortune 500 CEO Practices
    7. Transformation in Knowledge Work
    8. Parental Actions for AI Education

    Timestamps:
    00:00 AI Impact on Recent Grad Jobs

    03:06 AI's Impact on Job Market

    06:09 Tech Shift Fuels Grad Unemployment

    10:25 Higher Education's Imminent Decline

    14:48 Innovation Stifled by Educational Leaders

    18:06 "Changing Employment Reality"

    21:57 Delayed Impact in Higher Education

    25:18 "Urgent Need for AI Policies"

    26:15 "Faculty: AI Literacy Resources Lacking"

    29:31 Rethinking Private Company Practices

    33:17 Embrace AI: Unlearn and Innovate

    37:43 Demand AI in Education

    42:17 AI Tools and Job Search Insights

    45:05 "Consider Transferring if AI Banned"

    47:23 Call Out Corporate Greed

    Keywords:
    AI unemployment, recent grads, Oxford Economics study, AI skills, universities banning AI, quiet firing, entry-level job crisis, structural shift, tech sector, workforce future, economic wheel, AI job displacement, societal shift, business leaders, recent college graduates, job placement rate, higher education, greedy CEOs, job prospects, new jobs creation, AI literacy, knowledge commoditization, generalist skills, private companies, public company playbook, baby boomer exit, silver tsunami, IP unlearning, micro credentialing, AI policy, employment prospects, Federal Reserve, slowing economy, accelerating inflation, job search shifting, higher education failure, educational leaders, business professionals, actionable information, thrive in job market, company growth, generative AI for growth, zig-zag opportunity, commoditized knowledge work, AI collaboration, recent grad card, parents' role in AI education

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    EP 608: NotebookLM Updates: How to use the Custom Reports, Flashcards, and more Sep 11, 2025
    Show notes

    You probably slept on this HUGE AI update.
    Over the past few days, Google has quietly turned NotebookLM into a powerhouse.
    (As if it wasn’t already.)
    With new customizations and features, our 2024 Tool of the Year got even more powerful. (Oh… did we mention it’s free?!)
    So, how do you use the new features?
    And what are some practical use-cases to help you get ahead?
    Join us and we’ll dish.

    Newsletter: Sign up for our free daily newsletter
    More on this Episode: Episode Page
    Join 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 lineup
    Website: YourEverydayAI.com
    Email The Show: info@youreverydayai.com
    Connect with Jordan on LinkedIn
    Topics Covered in This Episode:

    1. NotebookLM Custom Reports Feature Overview
    2. How to Use NotebookLM Flashcards & Quizzes
    3. Dynamic Report Suggestions in NotebookLM
    4. Dedicated Blog Post Report Template in NotebookLM
    5. New Audio Podcast Formats in NotebookLM
    6. 80+ Language Support for NotebookLM Reports
    7. NotebookLM vs. Gemini/ChatGPT Key Differences
    8. NotebookLM Studio: Audio, Video, Mind Map Tools
    9. Live Demonstration: NotebookLM Workflow Examples
    10. Real-World Use Cases for NotebookLM Updates

    Timestamps:
    00:00 "Revisiting Notebook LM Updates"

    05:13 "Intentional Use of Notebook LM"

    08:38 Dynamic Content Suggestions Unveiled

    09:33 New Audio Overview Formats

    14:37 Studio Interface Overview & Guide

    18:39 Missing Templates in Notebook Album

    20:12 User Engagement After GPT-5 Rollout

    23:04 Advanced Voice Mode Enhances Translation

    27:35 "Rerun and Verify: Expert Loop"

    31:08 AI Features and Skill Preservation

    34:24 Customizable Executive Podcast Briefings

    36:24 Consistent Custom Reporting Templates

    39:03 "Repost to Access Business Use Cases"

    Keywords:
    NotebookLM, Google NotebookLM, NotebookLM updates, custom reports, flashcards, quizzes, audio overviews, video overviews, AI-generated podcasts, Gemini 2.5 Flash, grounded in user data, hallucination prevention, dynamic report suggestions, dedicated blog post report, deep dive audio format, brief audio format, critique audio format, debate audio format, 80+ language support, generative AI, AI for business leaders, source-based AI, trust in AI, transparency in AI, AI-powered note-taking, AI learning tools, knowledge retention, meeting transcript analysis, competitive intelligence flashcards, standardized board reports, sales enablement AI, interactive learning AI, personalized AI study tools, AI mind maps, internal business documentation, AI-powered executive summaries, AI-driven quizzes, AI study aids, large language model applications, expert-driven AI, AI organizational tools, unlimited audio overview generation, customizable AI reports, hybrid AI models, AI memory, AI for company reports.

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    EP 607: How To Use Gems, GPTs & Projects for Real Business Results Sep 10, 2025
    Show notes

    You're probably opening a fresh chat in ChatGPT, Claude, or Gemini—and that might be sabotaging your productivity.

    Randomly starting conversations with no plan wastes time, fragments context, and lowers the quality of what you get from LLMs.

    Learn the essentials of Gemini Gem, GPTs, and Projects—how they differ, when to use each, and how to structure prompts and workflows so AI actually speeds you up instead of slowing you down.


    Newsletter: Sign up for our free daily newsletter
    More on this Episode: Episode Page
    Join 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 lineup
    Website: YourEverydayAI.com
    Email The Show: info@youreverydayai.com
    Connect with Jordan on LinkedIn
    Topics Covered in This Episode:

    1. Harnessing Custom GPTs for Efficiency
    2. Google Gems vs. Custom GPTs Review
    3. ChatGPT Projects: Features & Updates
    4. Claude Projects Integration & Benefits
    5. Effective AI Chatbot Usage Techniques
    6. Leveraging AI for Business Growth
    7. Deep Research in ChatGPT Projects
    8. Google Apps Integration in Gems

    Timestamps:
    00:00 AI Chatbot Efficiency Tips

    04:12 "Putting AI to Work Wednesdays"

    08:39 "Optimizing ChatGPT Usage"

    11:28 Similar Functions, Different Categories

    15:41 Beyond Basic Folder Structures

    16:25 ChatGPT Project Update

    22:01 Email Archive and Albacross Software

    24:34 Optimize AI with Contextual Data

    27:49 "Improving Process Through Meta Analysis"

    30:53 Data File Access Issue

    33:27 File Handling Bug in New GPT

    36:12 Continuous Improvement Encouragement

    41:16 AI Selection Tool Website

    43:34 Google Ecosystem AI Assistant

    45:46 "Optimize AI Usage for Projects"
    Keywords:
    Custom GPTs, Google's gems, Claude's projects, OpenAI ChatGPT, AI chatbots, Large Language Models, AI systems, Google Workspace, productivity tools, GPT-3.5, GPT-4, AI updates, API actions, reasoning models, ChatGPT projects, AI assistant, file uploads, project management, AI integrations, Google Calendar, Gmail, Google Drive, context window, AI usage, AI-powered insights, Gemini 2.5 pro, Claude Opus, Claude Sonnet, AI consultation, ChatGPT Canvas, Claude artifacts, generative AI, AI strategy partner, AI brainstorming partner.

    Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)


    EP 606: Inside MIT's Viral AI Study. The reasons why 95% of AI pilots do not fail Sep 09, 2025
    Show notes

    MIT’s ‘95% of AI pilots fail’ headline is a litmus test: will people think critically, or just swallow clickbait?
    Unfortunately, the latter won.
    The MIT ’95 % of AI pilots fail’ study has taken over the internet, and it’s one of the worst studies I’ve ever read.
    (And I’ve read thousands.)
    ↳ So, what’s the truth?
    ↳ Is AI a bubble that’s about to pop?
    ↳ Why is this study rubbish?
    ↳ And how does it impact you?
    Don’t miss out.

    Newsletter: Sign up for our free daily newsletter
    More on this Episode: Episode Page
    Join 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 lineup
    Website: YourEverydayAI.com
    Email The Show: info@youreverydayai.com
    Connect with Jordan on LinkedIn
    Topics Covered in This Episode:

    1. MIT AI Study Claims 95% Failure Rate
    2. Breakdown of MIT Study Methodology
    3. Impact of Viral MIT AI Study Headlines
    4. Flaws in MIT Study ROI Measurement
    5. Comparison With Reputable AI ROI Studies
    6. MIT Study’s Biased Participant Selection
    7. Nanda Project Marketing in MIT Report
    8. Five Major Red Flags in MIT AI Research
    9. Business Implications of Flawed AI Pilots Data
    10. How Media Sensationalizes AI Study Results

    Timestamps:
    00:00 "MIT AI Study Critique"

    04:16 AI Investments Trigger Stock Market Decline

    06:37 "Host's Background Overview"

    10:58 Flawed AI Study Critique

    13:28 MIT Study Highlights AI Implementation Challenges

    18:58 AI Work Trends & ROI Insights

    20:17 "Crossing the Gen AI Divide"

    23:25 Flawed Study with Misleading Claims

    29:34 "Uncritical Reposting Spurs Fake Study"

    30:30 "Read Studies, Not Summaries"

    Keywords:
    MIT AI study, 95% AI pilot failure, enterprise AI pilots, generative AI ROI, AI pilot success rate, AI project failure, state of AI in business, gen AI divide, MIT Media Lab, AI investment, AI implementation challenges, AI return on investment, AI research methodology, AI study critique, AI marketing, Nanda project, AI vendor solutions, agentic web, MCP protocol, A2A protocol, Fortune article, AI media coverage, stock market impact, NVIDIA stock drop, Palantir, ARM stock, qualitative AI data, AI structured interviews, AI industry surveys, IDC AI research, Snowflake ESG report, McKinsey AI analysis, Microsoft Work Trend Index, Boston Consulting Group AI study, AI adoption rates, enterprise AI transformation, sample size in AI studies, research limitations, AI productivity impact, AI workflow automation, AI business decisions, AI bubble, AI reporting in media, AI pilot timeline, enterprise AI tools, AI agent capabilities, AI autonomy, custom AI solutions, AI study bias, marketing disguised as research, sensationalized AI studies.


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    EP 605: Apple calls on Google for AI help, AI execs meet with Trump & more AI News That Matters Sep 08, 2025
    Show notes

    Although there were no huge LLM updates this week, the big AI companies were still making moves.
    ↳ Google avoided an AI breakup.
    ↳ The world's most prominent AI players met with U.S. President Trump.
    ↳ Apple had to get AI help from its biggest competitor.
    ↳ Anthropic suffered a $1.5 billion lawsuit loss.
    And that's barely the beginning of this week's AI news that mattered.
    Don't waste hours a day trying to keep up or miss an update that impacts your work.
    Tune in now!

    Newsletter: Sign up for our free daily newsletter
    More on this Episode: Episode Page
    Join 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 lineup
    Website: YourEverydayAI.com
    Email The Show: info@youreverydayai.com
    Connect with Jordan on LinkedIn
    Topics Covered in This Episode:

    1. OpenAI AI-Powered Job Board Announcement
    2. OpenAI ChatGPT Certification Launch Details
    3. Atlassian Acquires Browser Company for $610M
    4. AI Agentic Browsers Market Competition Update
    5. OpenAI Research on LLM Hallucinations Explained
    6. Apple Integrates Google Gemini in Siri
    7. Apple-Google AI Partnership for World Knowledge
    8. OpenAI Broadcom Partnership for AI Chips
    9. White House AI Execs Meeting with Trump
    10. Major AI Industry Data Center Investments
    11. Warner Bros Sues Midjourney Over Copyright
    12. Anthropic $1.5B Author Copyright Settlement
    13. Google Wins DOJ Search Monopoly Court Case
    14. AI Image Generator Ideogram Launches Styles
    15. Claude Rolls Out Chat Memory for Users

    Timestamps:
    00:00 OpenAI Launches AI Job Platform

    03:43 AI Skills Boost Salaries, New Platform

    07:59 Atlassian Acquires The Browser Company

    12:54 AI Models and Guesswork Issues

    15:08 AI Hallucinations vs. Uncertainty

    17:49 Apple-Google AI Integration Unveiled

    22:07 OpenAI Pursues Custom AI Chips

    28:59 "Warner Bros. Sues Midjourney"

    32:38 Anthropic Settles Copyright Lawsuit

    35:04 Google Avoids Chrome, Android Sale

    37:47 AI News: Rumors and Releases

    Keywords:
    OpenAI, AI news, Google, Gemini, Apple, Siri upgrade, large language models, AI hallucinations, AI job board, LinkedIn competitor, AI certification, ChatGPT, ChatGPT Enterprise, prompt engineering, Walmart AI training, Microsoft, AI salary premium, multimodal learning, NotebookLM, Perplexity Comet browser, AI agentic browser, Atlassian, The Browser Company, DIA browser, AI-powered browsing, enterprise AI, Anthropic, AI copyright lawsuit, Warner Brothers Discovery, Midjourney, Disney, Universal, AI intellectual property, image generation AI, AI model training data, Broadcom, AI chips, NVIDIA alternative, custom AI chip, data centers, US AI investment, Mark Zuckerberg, Meta, Apple manufacturing, semiconductor tariffs, federal regulation, China AI competition, humanoid robotics, Sam Altman, Sundar Pichai, Satya Nadella, Bill Gates, energy for AI, content licensing

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    EP 604: Beyond the Hype: Turning AI Ethics into Competitive Advantage Sep 05, 2025
    Show notes

    AI growth with no rules? That’s not bold.
    It’s reckless.
    Everyone’s racing to scale AI. More data, faster tools, flashier launches.
    But here’s what no one’s saying out loud:
    Growth without governance doesn’t make you innovative. It makes you vulnerable.
    Ignore ethics, and you’re building an empire on quicksand.
    In this episode, we’re breaking down how to scale AI the right way—without wrecking trust, compliance, or your future.


    Newsletter: Sign up for our free daily newsletter
    More on this Episode: Episode Page
    Join the discussion: Questions for Rajeev or Jordan? Go ask.
    Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
    Website: YourEverydayAI.com
    Email The Show: info@youreverydayai.com
    Connect with Jordan on LinkedIn


    Topics Covered in This Episode:

    1. Balancing AI Innovation with Ethical Governance
    2. Introduction of Rajeev Kapur and Eleven o Five Media
    3. Rajeev Kapur's Background in AI
    4. Companies Balancing AI Innovation and Ethics
    5. Formation of AI Ethics Board
    6. Data Management as Competitive Advantage
    7. Privacy and Ethics as Product Features
    8. Governance and Ethical Standards in AI Use
    9. Impact of Regulatory Changes on AI Use
    10. Deepfakes and Their Implications
    11. Encouragement for Companies to Lead Ethically in AI


    Timestamps:
    00:00 Navigating AI: Innovation vs. Risks

    04:00 "AI Startup's Spatial Audio Journey"

    06:49 AI Ethics Oversight & Governance

    10:04 Strategic AI Advisory Team Formation

    15:34 AI Strategy and Governance Essentials

    16:55 Global Standardization Needed for AI Policies

    22:47 AI Ethics: Innovation vs. Deepfakes

    25:48 "Regulate Deepfakes Like Nukes"

    27:17 Leadership Vision for Future Success



    Keywords:
    AI innovation, Ethical governance, Large language models, Data privacy, AI ethics board, AI governance, TDWI, Microsoft stack, Generative AI, AI algorithms, Spatial audio, Deep fakes, Data differentiation, Machine learning, Cyber security, Enterprise technology, Rajeev Kapur, 11:05 Media, AI safety, OpenAI, Data utilization, Ethical AI alignment, Regulatory aspect, AI models, Innovation vs. ethics, AI data privacy, Explainability, Data scientists, Third-party audits, Transparent AI usage, AI-driven growth, Monitoring feedback loops, Worst case testing, Smart regulations, Digital twins, Disinformation, AI bias mitigation, Data as new oil, Refining data

    Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)


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