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Meta Cuts 10% + Google Reinvents Search After 25 Years | AI News in 5
Tuesday, May 26, 2026 • Duration 05:41
Meta is cutting 10 percent of its workforce and moving thousands of employees into AI roles. Google just announced the biggest change to Search in over 25 years. And Elon Musk has officially lost his legal battle against OpenAI.
This week, Meta lays off staff and reorganizes 7,000 employees around AI across product, infrastructure and research, Google brings AI agents directly into Search to help users complete tasks not just find information, Amazon adds a feature to Alexa Plus that generates full podcast style audio episodes on demand, the Vatican forms a new committee on the ethical implications of AI, and Elon Musk's lawsuit against OpenAI is dismissed with the jury siding with Sam Altman.
If you are a founder, operator or executive trying to keep up with AI, this is your weekly five-minute briefing every Tuesday.
Stories Covered This Week:
Meta announces 10% layoffs and moves 7,000 employees into AI focused roles across the business
Google announces the biggest update to Search in 25 years bringing AI agents directly into the product
Amazon adds podcast style audio generation to Alexa Plus
The Vatican forms a new AI ethics committee focused on labor and human decision making
Elon Musk officially loses his lawsuit against OpenAI with the jury siding with Sam Altman
Episode Timestamps:
00:00 Intro
00:21 Meta cuts 10% and reorganizes around AI
01:16 Google reinvents Search with AI agents
02:11 Amazon Alexa Plus generates podcast episodes on demand
03:17 The Vatican forms an AI ethics committee
04:11 Musk loses his lawsuit against OpenAI
05:02 Outro
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Inside the Rise of AI Employees and Autonomous Workforces | Swati Trehan
Thursday, May 21, 2026 • Duration 01:05:23
In this episode, Swati Trehan, co-founder of Ema, breaks down what AI agents actually are, how “AI employees” work inside Fortune 500 companies, and why the future of enterprise software may look nothing like today’s SaaS tools.
Swati explains how Ema’s platform orchestrates teams of AI agents that can autonomously handle HR, IT, finance, onboarding, payroll, employee support, and customer service workflows across massive organizations. She also reveals how companies like Hitachi are already deploying AI employees at scale, why traditional automation failed, and how enterprise AI is evolving beyond simple copilots into fully agentic systems.
The conversation dives deep into the technical infrastructure behind agents, including memory, orchestration layers, knowledge graphs, model routing, and why Ema uses multiple LLMs simultaneously to optimize for cost, latency, and accuracy. Swati also shares why Excel remains one of AI’s hardest unsolved problems, why video is the next frontier for agents, and how the “SaaS apocalypse” is reshaping software businesses.
If you’ve been hearing terms like agents, autonomous workflows, AI employees, copilots, or agentic AI, this is one of the clearest explanations of where the technology is heading and what it means for the future of work.
Key Topics Covered:
What AI agents actually are (explained simply)
The difference between copilots, agents, and AI employees
Why traditional automation and RPA failed
How Fortune 500 companies are deploying AI employees today
Why HR is becoming the entry point for enterprise AI adoption
How Ema orchestrates teams of agents across workflows
The technical stack behind enterprise AI agents
Why memory, context, and permissions are critical for agents
The “mixture of experts” approach using multiple LLMs at once
Why Excel remains surprisingly difficult for AI systems
The next frontier: AI-generated video workflows
The rise of the “SaaS apocalypse”
Why solving business problems matters more than building features
How AI is changing the way founders and engineers think
Episode Timestamps:
00:00 - Intro
00:34 - What AI agents actually are
03:01 - The difference between agents and AI employees
03:25 - Liam’s “light bulb” moment using agents
04:06 - Swati’s realization that HR work could be automated
05:57 - The founding story behind Ema
08:20 - Why AI unlocks human creativity
09:20 - The technical infrastructure behind AI agents
12:12 - How Ema routes tasks across multiple LLMs
13:49 - Memory, context, and knowledge graphs for agents
16:35 - The biggest unsolved problems in AI agents
18:32 - Why video is the next frontier for AI
20:05 - Why Excel is still difficult for AI systems
21:00 - Who Ema’s ideal customers are
23:27 - Why HR teams are leading enterprise AI adoption
24:25 - How enterprise AI implementation actually works
26:13 - Why modular agents matter
28:35 - What the employee experience looks like with AI agents
30:24 - Live demo of Ema’s AI employee system
36:58 - How companies roll out AI agents internally
39:31 - Building AI employees in real time
44:01 - Ema’s competitive moat in the AI race
47:46 - The “SaaS apocalypse” and future-proofing AI businesses
49:16 - Why Ema focused on product over hype
52:12 - How AI changed the way Swati thinks
55:07 - Why rapid problem-solving matters more than ever
57:27 - Living in London while building a global AI company
59:16 - Why Swati does what she does
Swati Trehan’s Socials:
LinkedIn: https://www.linkedin.com/in/swati-trehan/
Ema: https://www.ema.co
Partner Links
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$30B Quarter + OpenAI's $852B Doubt | AI News in 5
Tuesday, April 21, 2026 • Duration 05:20
$852 billion. That's what OpenAI is now worth, and its own investors are starting to question if that math adds up. This week, Anthropic's new model takes the coding crown from GPT-5.4, OpenAI's backers get cold feet, Snap cuts 1,000 jobs and points the finger at AI, twelve tech giants team up to secure the internet, and Nvidia writes a $5 billion check to its oldest rival.
If you're a founder, operator, or executive trying to keep up with AI, this is your weekly five-minute briefing every Tuesday.
Stories Covered This Week:
Claude Opus 4.7 hits 87.6% on SWE-bench Verified, beating GPT-5.4 and Gemini 3.1 Pro on coding
OpenAI's $852B valuation faces scrutiny as Anthropic's revenue triples to $30B in one quarter
Snap lays off 1,000 people (16% of staff), citing AI writing 65% of its code
Anthropic launches Project Glasswing with Amazon, Apple, Microsoft, Google, Nvidia and 7 others
Nvidia invests $5B in Intel, co-developing x86 chips built for its AI stack
Timestamps:
00:00 Intro
00:31 Claude Opus 4.7 takes the coding crown
01:26 OpenAI investors get cold feet
02:18 Snap cuts 1,000 jobs, blames AI
02:56 Project Glasswing: Securing the world’s critical software
03:49 NVIDIA invests 5 billion into Intel
04:41 Outro
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Weekly News Roundup (22AUG24)
Friday, August 23, 2024 • Duration 02:49
On today's news roundup: Procreate takes a stand against AI, custom-made GPT4o's, and overall panic throughout Fortune 500 companies.
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$100M to $400M ARR Growth Strategies
Thursday, August 22, 2024 • Duration 01:12:25
Episode Summary
In this conversation, Liam Lawson interviews Andrew Mounier, a B2B SaaS marketing expert, about his background and experiences in scaling companies. They discuss topics such as the importance of building relationships, the transition from a political science degree to entrepreneurship, and the motivation behind Andrew's career choices. They also touch on the process of hiring and finding the right fit in a company, as well as Andrew's passion for building a better world through technology and social purpose. In this conversation, Liam Lawson and Andrew Mounier discuss the use of AI in marketing, the importance of human touch in customer service, and the future of AI in various industries. They also touch on the need for individuals to upskill themselves in AI and the potential job displacement that may occur. Andrew shares his personal goals of launching a climate tech business, owning a farm, and creating a retreat focused on mindfulness and human connection.
Chapters:
00:00 Introduction and Background
02:43 Building Relationships and Thriving in the B2B SaaS Space
05:04 Transition from Political Science to Entrepreneurship
08:38 Balancing Personal Projects and Career Growth
10:45 Prioritizing Equity and Ownership in Job Opportunities
16:17 Servant Leadership and Empowering Teams
20:16 Finding Alignment in Job Opportunities
24:06 Lately: Using AI for Social Media Marketing
39:07 The Role of AI in Marketing and Customer Service
44:37 The Importance of Upskilling in AI
50:17 The Future of AI: Creativity and Mindfulness
01:07:16 Andrew's Personal Goals: Climate Tech, Farm Ownership, and Mindfulness Retreat
Connect with Andrew
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Teaching Kids with AI: The end of traditional education
Season 2 · Episode 3
Tuesday, August 20, 2024 • Duration 48:53
Whether you're a first time listener or a longtime fan, you're safe to think we're pretty AI forward here. But in all our talk about AI being the future, it can be easy to lose sight of the actual future: our kids.AI is bringing up all kinds of issues critical for both society at large and individual parents, like me. What kind of world are we creating? How will our kids find their place? What does their education to get them ready look like?We're on with Edward Glassman, faculty and leading voice of the AI Task Force at Philadelphia's prestigious Springhill Chestnut Hill Academy, on what it looks like to raise the entrepreneurs of tomorrow, how to navigate AI in the education space, and what it means to be a parent and teacher in this age of transition.
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AI Funnels Masterclass w/Justin Hardy (SPECIAL VIDEO EP)
Saturday, August 17, 2024 • Duration 44:49
Summary
In this conversation, Liam Lawson interviews Justin Hardy, an expert in building funnels. They discuss the importance of using funnels for conversions and how AI can speed up the funnel creation process. Justin provides a step-by-step guide on building AI funnels and shares insights on creating effective sales pages. He emphasizes the need to focus on one skill, find an AI tool that augments it, and become really good at it. Justin also highlights the opportunities that AI brings for entrepreneurs and advises starting small and growing from there.
Chapters
00:00 Introduction to Justin Hardy and Funnel Building
02:24 Understanding Funnels and their Benefits
05:46 Using AI to Speed Up Funnel Creation
10:32 Step-by-Step Guide to Building Sales Pages
14:41 Using AI Prompts to Create Landing Page Copy
20:26 Opportunities for Entrepreneurs in the AI Era
38:00 Advice for Starting a Business in the AI Era
Connect with Justin
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Weekly News Roundup 916AUG24)
Friday, August 16, 2024 • Duration 03:04
On today's news roundup: Grok-2 Launches, Google's Gemini Live comes for ChatGPT, and Elon Musk is accused of data theft. Again.
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22K LinkedIn Followers with Weekends & AI — Charlie Hills
Thursday, August 15, 2024 • Duration 57:00
Summary
In this episode, Liam interviews Charlie Hills, founder of Cognified and editor-in-chief at Martek AI. They discuss Charlie's journey as an entrepreneur, his early experiences with AI, and his current ventures. Charlie shares insights on time management, personal branding, and the lessons he learned from his food tech startup. Charlie Hills shares his experience in the virtual brand space and the challenges he faced, including the difficulty of hiring talented and ambitious individuals. He also discusses his journey on LinkedIn, the importance of engaging with others, and the impact of AI on content creation. Charlie emphasizes the need for patience, focusing on the quality of work, and enjoying the process. He also highlights the potential of AI agents and encourages people to get started and experiment with AI.
Chapters
00:00 Introduction and Background
03:03 The Impact of AI on Customer Loyalty
06:00 Building a Personal Brand on LinkedIn
10:04 Monetizing a Personal Brand
12:13 Lessons from Running a Food Tech Startup
20:54 Transitioning to Freelance Work
24:43 The Risks of Ordering from Virtual Brands on Delivery Platforms
28:13 Bringing Personality and Creativity to B2B Content
49:39 AI Trends: Top Models and the Future of AI Agents
52:56 Getting Started with AI: Take the First Step
55:10 Connect with Charlie Hills on LinkedIn for AI and Marketing Insights
Connect with Charlie
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The Metrics of Success- A labor economist & the data that makes us human
Season 2 · Episode 2
Tuesday, August 13, 2024 • Duration 50:31
Data makes the world go round. And with the advent of generative AI, it's not going to slow down. If that makes you uncomfortable, you're not alone.
Today we have Dr. Philip Seegers, labor economist and researcher, on how data really does make incredibly accurate predictions of success in both education and work, and why gen AI is something we genuinely need to embrace... IF we can do a better job of addressing our own biases.
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