The Artificial Intelligence Show

150+ stories distilled into 10 trends: ranked, contextualized, and ready to make your head spin.

In this special episode, Paul and Mike distill 150+ topics from 12 weekly episodes into 10 ranked trends. From the nonstop model release frenzy and OpenClaw's rise to AI-driven layoffs going mainstream and a cultural "vibe shift" around AGI, this episode is your fastest path to catching up on everything that mattered in the last three months.

We will be back with regular weekly news episodes April 14th.

Show Notes: Access the show notes and show links here

Timestamps:

00:00:00 — Intro

00:05:14 — The Model Release Frenzy

00:11:20 — Big AI Becomes Big Lobbying

00:16:15 — Anthropic vs. the U.S. Government

00:22:37 — The Rise of OpenClaw

00:28:32 — Enterprise AI Adoption: The People Problem

00:36:22 — SaaSpocalypse

00:43:11 — Labs Pivot to AI Agents

00:50:58 — AI-Driven Layoffs Go Mainstream

00:55:54 — We’re Seeing More Move 37 Moments

01:02:38 — The Vibe Shift

This episode is brought to you by AI Academy by SmarterX.

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Five companies are about to decide the future of the economy, geopolitics, and your career… and two of them have been locked in a deeply personal feud since 2016.

This week, Paul and Mike dig into a Wall Street Journal investigation tracing the OpenAI vs. Anthropic rivalry back to broken promises and a San Francisco group house, explore what Anthropic's accidentally leaked "Mythos" model means for cybersecurity and the next leap in AI capability, react to Uber's CEO admitting AI will replace 70-80% of human work, and unpack nearly $300M in political money now flowing into AI deregulation. Plus: agent security risks, Apple's Siri overhaul, a new SmarterX use case spotlight, and an AI Academy deep dive on AI for Sales. 

Show Notes: Access the show notes and show links here

Click here to take this week's AI Pulse.

Timestamps:

00:00:00 — Intro

00:03:15 — AI Pulse Survey Results

00:05:30 — OpenAI vs. Anthropic

00:26:02 — Details Leak on Anthropic’s New Hyper-Powerful Model

00:35:34 — Brutally Honest CEO Perspectives on AI

00:48:29 — Anthropic Granted Preliminary Injunction in Fight Against the Pentagon

00:51:06 — This Week in AI Politics

00:56:55 — AI Agent Nightmares

01:02:15 — Apple's AI Reboot

01:05:21 — SmarterX Use Case Spotlight

01:17:53 — AI Academy Spotlight

01:22:59 — AI Product and Funding Updates

This episode is brought to you by AI Academy by SmarterX.

AI Academy is your gateway to personalized AI learning for professionals and teams. Discover our new on-demand courses, live classes, certifications, and a smarter way to master AI. Learn more here.

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Not a single company leader Paul has spoken with is fully prepared for what AI is about to do to their workforce. In this AI Answers episode, Paul and Cathy work through 15 real questions from a recent Scaling AI class, covering everything from the AI divide inside companies to why most AI strategies fail before they start.

Topics include job displacement and underemployment, why enterprises handed AI to IT and get stuck, the automation-vs-augmentation spectrum by seniority level, what knowledge work looks like in three years, and why showing a skeptical CEO results beats showing them prompts every time.

00:00:00 — Intro

00:06:09 — Is Amazon slowing its AI rollout a sign of maturity?

00:08:58 — Are large enterprises structurally disadvantaged in the AI era?

00:12:14 — Who owns the AI adoption and data readiness problem?

00:14:56 — Is there a growing AI divide between power users and everyone else?

00:21:16 — What AI take do most people disagree with?

00:22:47 — Can companies automate too much too fast?

00:26:19 — Does automation eventually take over or do we land in the middle?

00:28:24 — What does the average knowledge worker's job look like in three years?

00:35:02 — What are companies still getting wrong about AI strategy?

00:36:27 — How should leaders should decide what matters versus what’s noise?

00:40:21 —  What separates AI councils that drive progress from ones that don't?

00:41:47 — Where is governance necessary and where does it get in the way?

00:45:17 — Should you show leadership the AI system or the results?

00:47:19 — What's the no-brainer AI use case most companies still haven't tried?

00:49:36 — Why do people wait to be told how to use AI instead of experimenting?

Show Notes: Access the show notes and show links here

This episode is brought to you by AI Academy by SmarterX.

AI Academy is your gateway to personalized AI learning for professionals and teams. Discover our new on-demand courses, live classes, certifications, and a smarter way to master AI. Learn more here.

Visit our website

Receive our weekly newsletter

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Claude Code didn't just change one company's trajectory, it triggered a chain reaction across every major AI lab. In this episode, Paul Roetzer and Mike Kaput break down how OpenAI, Google, Meta, xAI, and Microsoft are all scrambling to catch up in the agent and enterprise race, and why the next three to six months could look radically different from anything we've seen. 

In rapid fire: Microsoft shakes up Copilot leadership, a Meta AI agent goes rogue and causes a security breach, the Anthropic-Pentagon legal battle intensifies, Google DeepMind proposes 10 traits for measuring AGI, and more.

Show Notes: Access the show notes and show links here

Click here to take this week's AI Pulse.

Timestamps:

00:00:00 — Intro

00:04:04 — AI Pulse Survey Results

00:05:50 — AI Labs Refocus on Agents and Enterprise

00:29:07 — New Polling on AI and Trump National AI Framework

00:45:46 — Company Transformation with AI (Offsite Recap)

00:59:52 — Nadella Takes Over Microsoft Copilot

01:06:06 — Meta's Rogue AI Agent

01:10:01 — Anthropic vs. Pentagon Continues

01:14:42 — DeepMind’s New AGI Scorecard

01:18:40  — What 81,000 People Want from AI

01:26:01 — AI Academy Spotlight

01:30:47 — AI Product and Funding Updates

This episode is brought to you by AI Academy by SmarterX.

AI Academy is your gateway to personalized AI learning for professionals and teams. Discover our new on-demand courses, live classes, certifications, and a smarter way to master AI. Learn more here.

Visit our website

Receive our weekly newsletter

Join our community:

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Looking for content and resources?

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Billable hours are in the past, human creativity gets its strongest case yet, and Paul explains what happens when ten AI agents start collaborating like a marketing team. Paul and Cathy tackle 16 real questions on career pivots into AI, the risks of over-reliance on productivity gains, enterprise training personalization, labor replacement pricing, whether AI actually reasons, and what leaders should do with the time AI is giving back.

00:00:00 — Intro

00:05:05 — How do you transition into AI without a coding background?

00:06:03 — What are the best AI skills to learn while job searching?

00:08:56 — Should consultants bill for time spent experimenting with AI?

00:11:44 — How do we make sure AI productivity isn't quietly weakening our thinking?

00:14:17 — What's the best reframe for creatives who see AI as a threat?

00:19:04 — How do you wrangle a Wild West AI free-for-all at your company?

00:20:45 — How do you personalize AI training at the enterprise level?

00:23:41 — How do you get legal stakeholders to enable AI adoption instead of blocking it?

00:28:06 — How will AI adoption pick up in traditional industries like manufacturing?

00:31:24 — Can companies behind on digitalisation leapfrog ahead with AI?

00:34:33 — Will AI companies eventually price based on the labor they replace?

00:37:55 — What is a swarm of agents and why does it matter?

00:43:34 — Do reasoning models actually reason or just predict the next word?

00:46:54 — Should AI companies be regulated to preserve diversity of thought?

00:49:34 — If AI can solve advanced math, why can't it solve technological unemployment?

00:52:40 — How do we make sure AI gives us time back instead of just more work?

Show Notes: Access the show notes and show links here

This episode is brought to you by Google Cloud: 

Google Cloud is the new way to the cloud, providing AI, infrastructure, developer, data, security, and collaboration tools built for today and tomorrow. Google Cloud offers a powerful, fully integrated and optimized AI stack with its own planet-scale infrastructure, custom-built chips, generative AI models and development platform, as well as AI-powered applications, to help organizations transform. Customers in more than 200 countries and territories turn to Google Cloud as their trusted technology partner.

Learn more about Google Cloud here: https://cloud.google.com/  

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