Everyday AI Podcast – An AI and ChatGPT Podcast

Agentic AI is equally as daunting as it is dynamic. So…… how do you not screw it up? 

After all, the more robust and complex agentic AI becomes, the more room there is for error. 

Luckily, we’ve got Dr. Maryam Ashoori to guide our agentic ways. 

Maryam is the Senior Director of Product Management of watsonx at IBM. She joined us at IBM Think 2025 to break down agentic AI done right. 

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Website: YourEverydayAI.com
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Topics Covered in This Episode:

1. Agentic AI Benefits for Enterprises
2. Watson X's New Features & Announcements
3. AI-Powered Enterprise Solutions at IBM
4. Responsible Implementation of Agentic AI
5. LLMs in Enterprise Cost Optimization
6. Deployment and Scalability Enhancements
7. AI's Impact on Developer Productivity
8. Problem-Solving with Agentic AI

Timestamps:
00:00 AI Agents: A Business Imperative

06:14 "Optimizing Enterprise Agent Strategy"

09:15 Enterprise Leaders' AI Mindset Shift

09:58 Focus on Problem-Solving with Technology

13:34 "Boost Business with LLMs"

16:48 "Understanding and Managing AI Risks"

Keywords:
Agentic AI, AI agents, Agent lifecycle, LLMs taking actions, WatsonX.ai, Product management, IBM Think conference, Business leaders, Enterprise productivity, WatsonX platform, Custom AI solutions, Environmental Intelligence Suite, Granite Code models, AI-powered code assistant, Customer challenges, Responsible AI implementation, Transparency and traceability, Observability, Optimization, Larger compute, Cost performance optimization, Chain of thought reasoning, Inference time scaling, Deployment service, Scalability of enterprise, Access control, Security requirements, Non-technical users, AI-assisted coding, Developer time-saving, Function calling, Tool calling, Enterprise data integration, Solving enterprise problems, Responsible implementation, Human in the loop, Automation, IBM savings, Risk assessment, Empowering workforce.

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OpenAI is making moves to go public. Apple and Anthropic are teaming up for vibe coding. And Google is quietly continuing its dominance with a quiet update to the world's most powerful AI model.

Once again, the big names are shaking up the AI space. 

Don't burn hours a day trying to keep up. Spend your Mondays with Everyday AI and our weekly 'AI News that Matters' segment. 

You'll be the smartest person in AI at your company.

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Topics Covered in This Episode:

1. Anthropic and Apple AI Partnership
2. Apple AI Coding with Anthropic's Claude
3. OpenAI's Wind Surf Acquisition
4. AI Search Engines in Apple's Safari
5. OpenAI and FDA Drug Approval Talks
6. Google Gemini 2.5 Pro IO Edition
7. Amazon AI Coding Tool Kiro
8. OpenAI's Nonprofit Control Decision

Timestamps:
00:00 "Everyday AI: Podcast and Newsletter"

03:44 Apple Eyes External AI Partnerships

07:12 OpenAI's Wind Surf Acquisition Disrupts Coding

10:28 Windsurf Model Selection and Future

14:24 Apple's AI Search Engine Shift

20:45 FDA-OpenAI AI Drug Approval Talks

22:50 AI Literacy Challenges

27:14 "Gemini 2.5 Pro Unveiled"

31:27 Advanced AI Coding Tools Emerging

34:50 OpenAI Governance and Structure Shift

36:50 OpenAI-Microsoft Partnership Revamp Talks

42:40 Tech Giants Shake Up AI Landscape

Keywords:
Anthropic, Apple, Vibe coding, Google Gemini, 2.5 pro IO edition, OpenAI, Microsoft partnership, IPO, Artificial General Intelligence, AI coding models, Claude SONNET, Swift Assist, Anthropic's Claude, Wind Surf, $3 billion acquisition, AI IDE, Race car driver analogy, AI search engines, Safari, Perplexity AI, ChatGPT, Search engine market, FDA, Drug approval process, AI-assisted scientific review, Google IO edition, Web dev arena leaderboard, Amazon Web Services, AI-powered code generation, Kiro, Multimodal capabilities, OpenAI nonprofit arm, Public Benefits Corporation, Equity stake, Microsoft partnership renegotiation, $13 billion investment, SoftBank, Oracle, Stargate project

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Still experimenting with AI?

Cool. 

While you tinker with prompts and pilot projects, real businesses are stacking wins—and actual revenue.

They’re not chasing shiny tools.
They’re building unfair advantages.
They’re automating what matters and scaling faster than their competition can.

And no, it’s not just Big Tech.

It’s manufacturers. Retailers. Healthcare companies. Real people solving real problems—with AI that works today.

You’ve got two options:
🛑 Stay stuck in “research mode”
✅ Or see how the pros are doing it and steal their playbook

Ajay Malik—former Google exec and CEO of StudioX—joins us to share how real businesses are crushing it right now with AI.

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Topics Covered in This Episode:

1. Role of AI in Business Competition
2. Studio X's AI Platform for Businesses
3. Challenges Businesses Face with AI Adoption
4. Real Applications for Top Line Growth with AI
5. Improving Products with Predictive Features
6. Increasing Bottom Line with Operational Efficiency
7. AI's Role in Automating Repetitive Tasks
8. Enhancing Business Operations through AI
9. AI Steering Committees for Continuous Evaluation
10. Specific Metrics for AI Success in Companies

Timestamps:
00:00 AI Surpasses Turing Test

03:48 AI Milestones and Product Updates

09:54 AI-Driven Revenue Strategies

10:38 AI Enhancing Product Usability

14:36 Automate Repetitive Tasks

17:33 "Unlearning Manual Task Habits"

22:45 Maximize Productivity with AI

26:40 Embracing AI's Rapid Business Shift

27:44 "Identify Business Pain Points Together"

31:09 Leading With AI in Business

Keywords:
Generative AI, Large Language Models, Enterprise companies, Smaller businesses, Increase top line revenue, Increase bottom line efficiency, Real businesses, AI platform, AI adoption, ROI versus hype, Supply chain management, Predictive analytics, AI voice control, Embedded inspection, Retain customers, Operational efficiency, Repetitive tasks, Automated processes, Google, Skill differentiation, AI assistant, AI augmenter, AI-enabled products, Sales opportunities, Knowledge management, Error reduction, Demand forecast, Course correction, Steering committee, Business metrics, Lead generation, AI use cases, Measurable applications, Think big, Scale fast.

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Maybe we should just skip the whole AGI thing? 

And instead focus on something ..... useful?

Ruchir Puri thinks that's the way forward. 

Ruchir, IBM Research & IBM Fellow, knows a thing or two about AI and how to make it useful. 

For decades, he's helped develop the world's biggest AI breakthroughs, like IBM Watson. 

Don't miss this convo if you're ready to make AI a bit more useful. 

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Topics Covered in This Episode:

1. Allocation of AGI Focus vs. AUI (Artificial Useful Intelligence)
2. Ruchir Puri’s Background in Automation and AI at IBM
3. Discussion of AGI’s Unclear Definition and Historical Milestones (Deep Blue and Watson)
4. Breakdown of Intelligence into IQ, EQ, and RQ
5. Emphasis on AUI’s Practical Uses in Daily Life and Business
6. Evolution of Human Work Due to AI Advancements
7. IBM's Software Engineering Agent for Developer Productivity
8. Importance of Feedback Systems and Intelligent Agents
9. Steps for Business Leaders: Education, Strategy, and Skill Development

Timestamps:
00:00 Everyday AI Podcast & Newsletter

03:57 Debating AGI and Scaremongering

09:31 Evolution of Knowledge Work

10:47 Seamless Language Generation's Impact

13:57 AI's Growing Reasoning Abilities

19:18 "Software's Dominance and Developer Focus"

22:22 AI Solutions for Cybersecurity Challenges

26:40 ChatGPT Struggles with Math

29:32 Preparing Human Skills for AI's Rise

30:35 "Embrace and Strategize with AI"

34:00 "Subscribe for Daily AI Insights"

Keywords:
artificial intelligence, AI podcast, large language models, LLMs, artificial general intelligence, AGI, artificial useful intelligence, AUI, IBM, AI in business, AI strategy, AI implementation, machine learning, deep blue, jeopardy, Watson, Granite models, reasoning AI, agentic AI, AI in software development, AI tools, AI automation, generative AI, EQ, RQ, IQ, AI reasoning, AI technology, AI in careers, AI and human skills, AI in enterprises.

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One of the biggest downsides of consumer AI?

It doesn't have up-to-date access to your enterprise data. 

Even as frontier labs work tirelessly to connect and integrate AI chatbots with your data, we're a far way off from that happening. 

Unless you're using a platform like IBM's watsonx. And if you are using watsonx, your go-to enterprise AI platform just got a TON more powerful. 

IBM just unveiled updates across its watson ecosystem at its Think 2025 conference. We've been here covering every step of it, so we're jumping into what you need to know.

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Topics Covered in This Episode:

1. IBM Think Conference 2025 Highlights
2. IBM's Watson AI Platform Updates
3. Enterprise Workflow with Watson x Orchestrate
4. Build Your Own AI Agents Features
5. Prebuilt Domain Agents Overview
6. New Agent Catalog with 50+ Agents
7. IBM and Salesforce AI Collaboration
8. IBM's Partnership with Oracle for AI

Timestamps:
00:00 Amazon's Advanced AI Coding Tool Kiro

03:52 AI Delivers Victim's Court Statement

07:12 "IBM Conference Insights and Updates"

12:52 Rise of Small Language Models

16:03 Watson x Orchestrate Overview

17:13 "Streamlined Internal Workflow Automation"

21:02 DIY AI Agents Revolution

23:52 AI Trust Through Transparent Reasoning

28:23 Prebuilt AI Agents Boost Efficiency

31:20 IBM Watson AI Traceability Insights

35:14 AI Platforms Crossover: Watson and Salesforce

41:10 IBM's AI Data Platform Enhancement

44:59 IBM Watson x Q&A Invitation

Keywords:
IBM Think 2025, AI updates, Enterprise work, IBM Watson, Generative AI, Enterprise organizations, IBM products, Watson AI platforms, AI news, Amazon Kiro, Code generation tool, AI agents, Technical design documents, OpenAI, Google's Gemini 2.5 Pro, Web app development, Large Language Models, Enterprise systems, Dynamic enterprise data, Enterprise-grade versions, Meta's Llama, Mistral models, Granate models, Small language models, IBM Watson x, AI agent creation, Build your own agents, Prebuilt domain agents, Salesforce collaboration, Oracle Cloud, Multi agent orchestration, Watson x data intelligence, Unstructured data, Open source models, Consumer grade GPU, Data governance, Code transformation, Semantic understanding, Hybrid cloud strategy.

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You prolly missed this HUGE AI drop.

Google quietly updated its NotebookLM behemoth to a thinking model and went FULL on multilingual. 

Millions of people are instantly getting a AI assistant overnight, but probably don't even know. 

So.... we're breaking it down. 

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Topics Covered in This Episode:

1. NotebookLM's Major 2024 AI Tool Updates
2. Google's Gemini 2.5 Flash Multilingual Features
3. NotebookLM's Gemini Model Integration Details
4. AI Reasoning Models in NotebookLM Explained
5. AI Audio Overviews in 50+ Languages
6. Exploring NotebookLM's Mind Map Feature
7. Discover Sources Function in NotebookLM
8. Using Deep Research with NotebookLM
   
   

Timestamps:
00:00 "Google Notebook AI Updates"

06:27 ChatGPT-Controlled IBM Updates Demo

08:48 Notebook LM Gains Global Attention

13:18 Modeling Challenges and Learning Paths

14:01 "Gemini 2.5 Flash: Powerful & Affordable"

18:55 AI Struggle: Defining Chicago

21:49 "Notebook LM Source Integration Guide"

26:30 "Notebook LM: Studio and Mind Map"

29:47 Watson x AI Updates Overview

31:36 Mind Map: Chaos to Clarity

36:39 "Adding Sources: Manual vs. Auto"

39:02 Analyzing Watson x Updates Monthly

41:08 IBM Watson x Trends Overview

44:25 Evaluating John's Performance in Marketing

48:05 "Leveraging Data with AI"

Keywords:
NotebookLM, Google Gemini, AI update, Gemini 2.5 flash model, Multilingual audio overviews, Large Language Model, Deep research tools, Google AI Studio, AI-powered deep dives, Gemini 2025, OpenAI, ChatGPT, AI-driven mind maps, IBM Watson x, Enterprise governance, AI reasoning model, Language support, AI-powered conversation, Audio overview features, AI flash model, Multimodal AI, Data protection, AI Studio integration, AI capabilities, Gemini reasoning, Machine learning advancements, AI feature updates, Enterprise AI solutions, Google Gemini thinking model, AI-driven insights, Language model updates, AI-driven research.

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Wait.... how's this make sense?

↪ Meta is going after ChatGPT's business. (AI app) 
↪ ChatGPT is going after Amazon's business. (Shopping) 
↪ Amazon is going after Google's business (Powerful LLM) 
↪ And Google is going after..... OpenAI's business? (AI mode) 

The tech trillionaires are at it again, going blow for blow with drool-worthy AI updates. 

Don't spend hours on your own trying to catch up. 

Spend your Mondays with Everyday AI as we bring you the AI News That Matters. 

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Topics Covered in This Episode:

1. Amazon's Nova Premier AI Model Launch
2. Meta AI App Powered by Llama 4
3. Google's AI Mode Available in US
4. Duolingo Replaces Jobs with AI Tools
5. Trump AI Pope Image Controversy
6. Apple and Google's Gemini AI Integration
7. Anthropic Claude's New App Integrations
8. NotebookLM Enhanced with Gemini 2.5 Flash
9. OpenAI's ChatGPT Shopping Feature Introduction

Timestamps:
00:00 Amazon AWS Unveils Nova Premier AI

05:11 Meta Unveils AI Competitor to ChatGPT

09:14 Duolingo Replaces Contractors with AI

12:52 AI's Growing Impact on Hiring

14:32 AI Image Mocking Catholics Sparks Outrage

20:49 "Zapier Enhances Claude's Research Utility"

25:09 Gemini 2.5 Update Enhancements

26:19 "Gemini 2.5 Flash Enhancements"

29:55 "ChatGPT Enhances Product Research"

34:06 OpenAI Ventures into Affiliate Marketing

37:29 Weekly AI News Highlights

Keywords:
Meta AI app, Llama four, generative AI, Amazon, AWS, Nova Premier, AI model, enterprise applications, text and image inputs, long form video, 1,000,000 token context window, model distillation, AWS bedrock, Google, chatGPT, OpenAI, Meta, social media integration, Ray-Ban smart glasses, user preferences, conversational AI, Google Shopping, AI mode, search labs, AI-enhanced local business features, Duolingo, AI first business model, contract worker replacement, Donald Trump AI image, AI-generated content, political controversies, Apple, Google, Gemini AI model, Siri enhancements, Claude, AI integrations, Jira, Confluence, Zapier, Anthropic, advanced research mode, NotebookLM, Gemini 2.5 Flash, Google AI, shopping buttons, OpenAI shopping feature, affiliate fees, conversational product recommendations, Nespresso, Amazon AI, Rufus AI, personalized shopping experience, 2025 technology trends.

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You're outsourcing your brain to AI. Bad idea?

AI can write your SQL queries. Build your dashboards. Even brainstorm your next big idea.

It’s saving you hours. Maybe days.

But here’s the catch—it's also stealing your critical thinking. Making you reliant.

Maybe even... dumber.

Sumit Gupta knows this first-hand. He’s built data strategies at Notion, Snowflake, and Dropbox. 

And, he’s here to break down how AI is both supercharging productivity and quietly eroding our problem-solving skills.

Are we trading our brains for convenience? 

Let’s find out.

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Topics Covered in This Episode:

1. Personal use of Generative AI and productivity vs. intelligence dichotomy
2. Introduction of Sameet Gupta as a guest
3. Role and experience of Sameet Gupta at Notion
4. The impact of AI on productivity and critical thinking
5. Examples of AI tools used by Sameet Gupta
6. Challenges of balancing AI use with retaining critical skills
7. Potential risks and costs of over-reliance on AI
8. White coding and its implications
9. Recommendations and personal strategies to maintain skills alongside AI use
10. The influence of AI on different age groups, particularly students
11. Discussion on cost implications of using AI improperly
12. Notion's capabilities in enhancing productivity and retention
13. The future impact of AI on knowledge workers and the workforce
14. Practical advice for business leaders on AI integration and maintaining productivity

Timestamps:
00:00 "Using AI to Stay Sharp"

06:02 Streamlining Dashboards with AI

8:48 "GPT for Quick Code Debugging"

12:34 Guardrails Needed for Costly AI Mistakes

15:27 AI for Repetitive Tasks

18:35 Growing Business with AI Expertise

21:20 AI's Impact on Younger Generation

26:04 AI’s Impact on Future Workforce

28:12 "Notion: Beyond Note-Taking"

31:22 "Validate or Lose Job Security"

32:25 Balancing Productivity and Uniqueness

Keywords:
Generative AI, large language models, productivity, dumber, balance, knowledge work, NVIDIA conference, GTC, OpenAI, advanced AI models, voice models, transcription, text to speech, API, real-time streaming, customizable voice presets, word error rate, noisy environments, 100 plus languages, competition, Gmail, Google, AI-powered search, email results, keyword search, Amazon, Claude, real-time access, web search feature, AI assistant, misinformation, AI hallucinations, Brian, Midroll, Notion, BI engineer, Sumit Gupta, SQL query, Tableau reports, productivity improvement, Microsoft study, critical thinking, knowledge retention, white coding, AWS, Google search, education, midterm exams, critical thinking, second brain.

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AI or you're fired?

That's kinda been the trending train of thought recently with Duolingo and Shopify's new statements on AI in the workplace. 

Some people are shocked. We're not. 

We'll explain why this seemingly shocking workplace rulebook will become the new norm. 

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Topics Covered in This Episode:

1. AI Hiring Rulebook: Use It or Be Fired
2. Duolingo & Shopify's AI Initiative Analysis
3. AI Native Organization Best Practices
4. AI's Impact on Hiring Practices
5. Duolingo's Shift to AI-First Operations
6. Shopify's AI Proof Requirement Explained
7. Effect of AI on Entry-Level Jobs
8. Company Adaptation to AI Workforce

Timestamps:
00:00 AI or Be Fired?

02:50 Daily AI News

09:34 Workplace Software Recommendations

13:53 AI First, Human Second

15:15 Duolingo Shifts to AI-Driven Courses

20:23 AI's Transformative Impact on Business

24:38 "AI Boosts Productivity in Enterprises"

25:45 AI Impact on Entry-Level Jobs

29:15 AI's Impact: Adapt or Pivot

34:19 AI Hiring: Balancing Benefits and Overreliance

37:22 Strategic Staffing and AI Integration

40:31 Embrace AI, Evolve Workforce

42:58 AI Impact on Job Security

Keywords:
AI native, AI first, Duolingo, Shopify, AI hiring rulebook, employee AI usage, AI-generated code, Microsoft, Sadia Nadella, AI code generation, Python, Google Gemini, Apple Intelligence, Sundar Pichai, Tim Cook, AI models, competitive AI ecosystem, AI-powered tools, AI sector growth, workplace AI adaptation, AI anxiety, AI proof of necessity, AI productivity, online learning, automated course production, scalability with AI, customer service AI, data collection, AI-driven projects, AI-founded roles, workforce AI integration, AI proficiency, AI literacy, AI upskilling, AI training, digital transformation, exec dissatisfaction, AI implementation, hiring AI systems, local AI regulation, AI in education, workforce transformation.

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AI didn’t just rewrite the rules—it burned the old playbook.

The idea of long-term "job security"? Gone.

But here's the twist:
This isn’t a threat. It’s a wake-up call.

Because the people who adapt aren’t just surviving—they’re winning.
The rest? Still playing by rules that no longer exist.

Let’s talk about what to do next.

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Topics Covered in This Episode:

1. AI's Impact on Job Security
2. Future of Full-Time Employment
3. Clarity AI CEO's Personal Experiences
4. Coping with AI Layoff Anxiety
5. Shopify's AI Workforce Strategy
6. Upskilling to Future-Proof Careers
7. Personal Branding & Networking Importance
8. Emergency Plans for AI Layoffs

Timestamps:
00:00 "Job Security's End in AI Era"

03:59 Navigating AI Layoff Anxiety

08:00 Future-Proofing Company Leadership

11:34 "Why Companies Struggle with Training"

14:35 "AI Predictions Impacting Job Security"

20:17 "Financial Preparedness & Career Resilience"

22:30 "Future-Ready Skills for Developers"

24:53 Work Trends and Future Job Security

Keywords:
Job security in the age of AI, Future of work, Upskill, Reskill, Full-time employment, AI tools, Clarity AI, AI layoffs, Layoff anxiety, Personal branding, Networking, Gig economy, Upwork, Video editing, Debugging generated code, AI systems, Senior positions, Entry-level jobs, Skill set changes, Emergency plan, Financial stability, AI prototyping, Data solutions, Freelance, Income diversification, Automation, Digital twins, Roadmap to careers, AI influencer, Modern careers, AI-driven marketplaces, Team restructuring.

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