Everyday AI Podcast – An AI and ChatGPT Podcast

40,000+ AI-linked job cuts in two weeks. 😬

But AI is also supposed to create millions of new jobs.

So are we watching traditional work slowly die while the replacements don't exist yet?

And did we really spend decades building expertise just to babysit AI agents that are smarter and faster than us?

Join us live to find out.

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More on this Episode: Episode Page
Join 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 lineup
Website: YourEverydayAI.com
Email The Show: info@youreverydayai.com
Connect with Jordan on LinkedIn

Topics Covered in This Episode:
 AI-Driven Job Cuts and Layoffs Analysis
The AI Labor Shift: Timeline Predictions
Big Tech AI Infrastructure Investments
AI as Layoff Scapegoat and "AI Washing"
Capability Gap: AI Use vs. Potential
Roles Most at Risk in AI Labor Shift
Codified vs. Tacit Knowledge Job Impact
Three-Step Survival Guide for AI Careers
Domain Expertise Plus AI Skills Premium
New AI Job Roles and Emerging Opportunities

Timestamps:

00:00 "AI Jobs, Investments, and Displacement"
06:18 AI's Impact on Jobs
08:20 "AI Layoffs and Overhiring"
11:36 Driving AI Value with Section
16:00 AI's Workforce Impact Gap
18:25 "AI Impact on Work Dynamics"
20:25 AI-Driven Workflows Mainstream by 2030
24:25 "AI Impact on Job Security"
27:47 "Emerging AI Roles and Expertise"
31:17 "Surviving the AI Labor Shift"
33:38 "Boost AI Adoption with Section"

Keywords: 
AI labor shift, AI job displacement, AI and employment, AI job loss, AI job creation, traditional employment decline, future of work, AI workforce transformation, AI layoffs, tech layoffs,
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Who will win the AI race in 2026? 🏇

Will Google finally catch OpenAI in users? 

Has Claude surpassed ChatGPT in capabilities? 

And.... how can your company avoid the AI battles and just pick its lane? 

So many AI questions. We've got your AI answers. 

As part of our ongoing 'Start Here Series' we tackle one of the most important questions for most enterprises: Who will win the AI race and how do you decide? 

The State of the AI Race. Who will win in 2026: OpenAI, Microsoft, Google Or Anthropic -- An Everyday AI Chat with Jordan Wilson

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More on this Episode: Episode Page
Join 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 lineup
Website: YourEverydayAI.com
Email The Show: info@youreverydayai.com
Connect with Jordan on LinkedIn

Topics Covered in This Episode:
AI Race 2026: OpenAI, Microsoft, Google, Anthropic
Chatbot Era Ending: Rise of Agentic Systems
OpenAI vs Google vs Anthropic User Stats
Large Language Model Benchmark Comparisons
Enterprise AI Adoption Trends
Agentic Workflow Automation: Business Impacts
Microsoft Copilot and Governance Features
Anthropic Claude’s Premium Intelligence Integration

Timestamps:

00:00 "2026 AI Race Predictions"
04:01 "AI's Daily Driver Era Arrives"
08:31 AI Revenue and IPO Trends
10:10 "Revenue Success with Fewer Users"
13:42 AI Integration and Market Impact
19:49 Microsoft's Role in OpenAI Investments
21:00 "Microsoft vs Google: AI Investments"
26:42 "Anthropic's Focus on Specialized AI"
30:34 Microsoft Copilot's AI Evolution
31:28 Microsoft Copilot: CEO's Hands-On Vision
35:13 AI Coding Models Market Trends
38:44 "Modular AI for Enterprise Success"
42:06 "Everyday AI: Subscribe Now"

Keywords: 
AI race, state of AI 2026, OpenAI, Microsoft, Google, Anthropic, enterprise AI, consumer AI, agentic systems, AI workflow, large language models, multimodal AI, Gemini, ChatGPT, Copilot, Claude, Claude Opus, Claude SONNET, AI operating system, AI agent,
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Why can't most companies show their ROI on GenAI? 

Because their implementation is backwards.

If you're using the same digital transformation playbook that you used for the social media and cloud eras, you're in trouble. 

On this 'Start Here Series' episode, we break down what your company is doing wrong and the 7 Step process to properly calculate ROI on your AI efforts. 

Measuring AI ROI: Why you’re doing it wrong and the 7 Steps to fix it -- An Everyday AI Chat with Jordan Wilson

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More on this Episode: Episode Page
Join 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 lineup
Website: YourEverydayAI.com
Email The Show: info@youreverydayai.com
Connect with Jordan on LinkedIn

Topics Covered in This Episode:
Proving and Measuring AI ROI in Companies
OpenAI’s GDP Benchmark: AI vs Experts
Debunking MIT’s Viral Zero ROI Study
Quantitative AI ROI Data from Business Studies
Invisible Productivity: AI Savings Pocketed by Workers
Limitations of Pre-AI Job Roles and Metrics
ROI Calculation: Time Saved and Cost Reduction
Five Main Reasons AI ROI Isn’t Measured
Seven-Step AI ROI Measurement Blueprint
Importance of Ongoing AI Model Retesting
AI ROI: Training, Education, and Implementation Gaps

Timestamps:

00:00 "AI ROI: Fixing the Debate"
04:50 "AI ROI Debate is Pointless"
08:03 AI Implementation Yields Positive ROI
12:13 AI Reshaping Work Structures
15:08 AI ROI Challenges
20:11 "Baseline Assessment Before AI Implementation"
23:49 "AI Operating System Discussion"
24:35 "Standardized Testing for AI Models"
28:26 "Rethink AI ROI Urgency"
31:37 "Everyday AI: Subscribe & Explore"

Keywords: 
measuring AI ROI, AI return on investment, generative AI ROI, GenAI ROI measurement, ROI on artificial intelligence, AI productivity, time saved with AI, cost reduction with AI, AI-driven revenue increase, AI risk avoidance, AI implementation, baseline assessment of AI, BASE framework, pre-AI baseline, digital transformation and AI, quality metrics in AI, cost per task AI, error rates AI, throughput AI, AI utilization rate, AI pilot evaluation, AI business impact, AI model benchmarks, 
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If your entire company was using ChatGPT in 2022.... good chance you ended up in some trouble. 😬

Now if you're company is NOT using AI in 2026.... you'll definitely be in trouble. 

But a different kind. 

That's how quickly AI has changed the business landscape. What was once a megaviral party trick in 2022 is not the lifeblood of the American Enterprise. 

So.... how the heck did it happen so fast? 

In our 10th volume of the 'Start Here Series,' we break it all down. 

From AI Chatbot to Autonomous Coworkers: How Consumer AI Has Changed and What's Next - An Everyday AI Chat with Jordan Wilson

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More on this Episode: Episode Page
Join 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 lineup
Website: YourEverydayAI.com
Email The Show: info@youreverydayai.com
Connect with Jordan on LinkedIn

Topics Covered in This Episode:
Five Phases of AI-Enabled Work
From Chatbots to Autonomous AI Coworkers
Large Language Models Evolution Timeline
Business Chat AI and Team Integration
Agentic AI Era—Models with Reasoning
Desktop AI Agents and Local File Access
Security and Governance for Desktop AI
Scheduling Layer in AI Agents
Key AI Agent Products and Comparisons
Actionable Strategies for AI Implementation

Timestamps:

00:00 From Chatbot to Autonomous Coworker
03:14 AI's Desktop Agent Revolution
06:47 AI Phases and Overlap Explained
10:55 "Early AI Models Were Ineffective"
13:51 AI Transforming Work by 2025
17:14 "Shift to New Era AI"
21:20 "AI Agents Controlling Computers"
24:11 "OpenAI's Multi-Agent Claude Launcher"
28:21 "Future of AI in Business"
30:21 "Proactive AI Revolutionizing Work"

Keywords: 
AI chatbot, autonomous coworker, consumer AI, five phases of AI-enabled work, AI agents, desktop AI, agentic era, business chat, scheduling AI, scheduled tasks, large language models, generative AI, ChatGPT, November 2022 AI launch, Microsoft Copilot, Anthropic Claude, Google Gemini, reasoning models, agentic browsers, AI coworkers, virtual AI agents, Codex, Claude Cowork, Claude Code, 
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The perfect AI storm happened, and no one has noticed yet. 😬

And when everyone finally realizes, they'll be too busy focused on the shiny new AI capabilities to see the straight up agentic nightmare looming right in front of them. 

I'll be honest though. 

↳ Yeah, there's a dark side to AI agents. 
↳ Yeah, it's worse than you think. 
↳ Yeah, we're gonna talk about. 

Agent Risk, Security, and AI Sprawl in 2026: Why AI That Acts Changes Everything – An Everyday AI Chat with Jordan Wilson (Start Here Series Volume 9)

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 LinkedIn 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:
Evolution of AI Agent Risk (2022-2026)
Agentic AI Security Threats Explained
Types of Agent Sprawl & Dark AI
Key Differences: Chatbot vs Agent Risk
Major AI Labs' Risk Response Strategies
Agent Actions, Outputs, and Enterprise Risk
Monday Morning Playbook for AI Security
Agent Skill Marketplace & Supply Chain Risk

Timestamps:

00:00 AI Risks: A Rapid Evolution
06:22 "Applying Buzzwords to Practice"
07:31 AI Evolution: Dumb to Proactive
13:23 "Expanding Blast Radius with Tools"
14:04 "AI Actions: Enterprise Nightmare"
17:16 "Start Here: AI Basics"
22:50 "Agentic Web and Business Value"
24:09 "Advances Driving AI Agent Efficiency"
27:30 AI Labs: Balancing Risk and Research
32:04 "Autonomous AI Model Concerns"
33:43 "Managing Autonomous Agent Risks"
37:08 "Foundations First for Future Success"
41:00 "Understanding Risks and Opportunities"

Keywords: 
AI risk, agent risk, security risk, AI sprawl, AI agents, agentic AI, AI model actions, business AI risk, corporate AI security, agent risk mental model, OpenAI, Google, Anthropic, Microsoft, governance, audit logs, isolation protocols, agentic capabilities, smart AI models, proactive AI, autonomous agents, agent hallucination, rogue AI agents, prompt injection, malware agents, spyware agents, ransomware agents, agent input risk, tools risk, outputs to actions, enterprise AI nightmare, shadow AI, 
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