Leveraging AI

Secure your spot for the MULTI-AGENT ORCHESTRATION AI COURSE: https://multiplai.ai/multi-agent-orchestration-course/

Are AI jobs disappearing faster than they're being created—or are we asking the wrong question?
For months, AI leaders warned of massive job losses. Now, some of the same voices are changing their tune. But while Sam Altman and Dario Amodei are sounding more optimistic, tech layoffs continue to climb, AI anxiety is spreading across the workforce, and business leaders are facing a difficult question: what's actually happening beneath the headlines? 
In this week's AI News episode, Isar Matis breaks down the conflicting signals shaping the future of work and explains why the next few years may be far more turbulent than many expect. He also explores a major shift in the AI race: why model intelligence is no longer the primary battleground, and why speed, cost, accessibility, and business value are becoming the metrics that matter most. 
If you're a business leader trying to understand where AI is headed—and what it means for your workforce, strategy, and competitive advantage—this episode provides a practical framework for separating hype from reality.
In this session, you'll discover:
 Why Sam Altman says he may have been wrong about the pace of AI-driven job disruption. 
 The Jevons Paradox and how increased AI productivity could create new demand. 
 The reality behind recent tech layoffs and whether AI is truly responsible. 
 Why employee anxiety around AI may matter more than the statistics themselves. 
 The growing gap between jobs being eliminated and new AI-related roles being created. 
 Why reskilling workers may be harder than most organizations expect. 
 How the AI race is shifting from model quality to business value. 
 Why open-source models are rapidly closing the gap with frontier AI systems. 
 The hidden cost explosion companies are experiencing with AI tokens and agents. 
 What Microsoft's latest Build announcements reveal about the future of enterprise AI. 
 Why robots cleaning homes may be an early sign of AI's impact on blue-collar work. 
About Leveraging AI
The Ultimate AI Course for Business People: https://multiplai.ai/ai-course/
YouTube Full Episodes: https://www.youtube.com/@Multiplai_AI/
Connect with Isar Meitis: https://www.linkedin.com/in/isarmeitis/ 
Join our Live Sessions, AI Hangouts and newsletter: https://services.multiplai.ai/events
If you’ve enjoyed or benefited from some of the insights of this episode, leave us a five-star review on your favorite podcast platform, and let us know what you learned, found helpful, or liked most about this show!

What if the problem with your AI videos isn't the AI... it's the story?
Most business leaders are racing to adopt AI-powered content creation. Yet despite having access to incredible tools, many are still producing videos that fail to engage, inspire, or convert.
In this episode, former TV Executive Producer Eve Whitaker reveals why great video content starts long before you open an AI video generator. Drawing on more than 15 years in television production and her deep expertise in AI workflows, Eve shares the framework she uses to transform ideas into compelling videos that connect emotionally and drive action.
If you're investing time, budget, or attention into AI-generated content, this conversation will help you avoid the biggest mistake most creators make: focusing on the technology before understanding the audience.
In this session, you'll discover:
 Why AI has created unprecedented opportunities for businesses of every size 
 The three production phases behind every successful video 
 Why pre-production is still the most important part of the process 
 The "Problem Identification" framework Eve uses to uncover audience pain points 
 How AI can accelerate production without replacing strategic thinking 
 The biggest misconception business owners have about AI video creation 
 Practical ways to use Custom GPTs to improve content planning and messaging 
Whether you're creating thought leadership content, marketing campaigns, training materials, or social media videos, this episode offers a practical roadmap for producing AI-powered content that people actually care about.
Resources: 
AdSpark GPT:
https://chatgpt.com/g/g-69f9268483308191a43ecc799c962e9e-adspark-engine

Problem Identification Assistant GPT:
https://chatgpt.com/g/g-69f28041ab248191b027e7ab5fcd3afc-problem-identification-assistant
About Leveraging AI
The Ultimate AI Course for Business People: https://multiplai.ai/ai-course/
YouTube Full Episodes: https://www.youtube.com/@Multiplai_AI/
Connect with Isar Meitis: https://www.linkedin.com/in/isarmeitis/ 
Join our Live Sessions, AI Hangouts and newsletter: https://services.multiplai.ai/events
If you’ve enjoyed or benefited from some of the insights of this episode, leave us a five-star review on your favorite podcast platform, and let us know what you learned, found helpful, or liked most about this show!

Secure your spot for the MULTI-AGENT ORCHESTRATION AI COURSE: https://multiplai.ai/multi-agent-orchestration-course/

What if your biggest growth problem isn’t a lack of leads—but too many of the wrong ones?
Most business leaders assume more traffic, more campaigns, and more leads equal more growth. But what if the real opportunity is creating fewer, smarter, higher-converting interactions?
In this conversation, Andy Crestodina breaks down how AI is transforming B2B lead generation—not by creating more marketing noise, but by helping companies deeply understand buyers, optimize conversions, and align messaging with customer psychology. The result? Better leads. Better conversion rates. Less wasted effort. 
Andy shares practical frameworks and AI-powered tactics for optimizing landing pages, creating stronger calls-to-action, building smarter personas, and turning websites into conversion engines. If your business is generating attention but not enough qualified opportunities, this session gives you a roadmap.
In this session, you'll discover:
• Why more leads can actually create more overhead instead of more growth
• How AI helps identify and attract the right audience—not just a bigger one
• Why conversion optimization starts at the end of the buyer journey 
• The hidden psychology behind high-performing CTAs 
• How AI-generated personas can sharpen messaging and improve marketing relevance 
• Practical AI workflows for auditing landing pages and improving conversion rates 
• Why doubling conversion rates can transform growth faster than increasing traffic 
Andy Crestodina is the Co-Founder and Chief Marketing Officer of Orbit Media and one of the most respected voices in B2B content strategy, SEO, conversion optimization, and digital marketing. With 25+ years of experience helping businesses grow through data-driven marketing, Andy combines deep expertise with practical AI applications to improve lead generation and conversion outcomes. 
Connect with Andy on LinkedIn:
 https://www.linkedin.com/in/andycrestodina/
About Leveraging AI
The Ultimate AI Course for Business People: https://multiplai.ai/ai-course/
YouTube Full Episodes: https://www.youtube.com/@Multiplai_AI/
Connect with Isar Meitis: https://www.linkedin.com/in/isarmeitis/ 
Join our Live Sessions, AI Hangouts and newsletter: https://services.multiplai.ai/events
If you’ve enjoyed or benefited from some of the insights of this episode, leave us a five-star review on your favorite podcast platform, and let us know what you learned, found helpful, or liked most about this show!

This week wasn’t just another wave of AI announcements.

It may have been the week the industry quietly crossed into a different phase entirely.

In this episode, Isar connects the dots behind one of the biggest weeks in AI so far—from Anthropic’s explosive growth, to Google I/O, OpenAI’s legal win, NVIDIA’s record earnings, and Andrej Karpathy joining Anthropic to work on recursive self-improvement.

Individually, each story matters.

Together, they point to something bigger: accelerating AI capability, accelerating infrastructure buildout, and growing signals from the people closest to the frontier that we may be entering a very different era.

The quote that framed the episode came from Demis Hassabis:
 “We were standing at the foothills of the singularity. It will be a profound moment for humanity.”

This episode breaks down what that actually means—and why the implications go far beyond new models and product launches.

In this session, you’ll discover:
 - Why Anthropic’s projected $44B annualized revenue shocked the industry
 - How Anthropic became more profitable per user than OpenAI, Google, and Microsoft
 - Why Andrej Karpathy joining Anthropic may be one of the year’s biggest AI stories
 - What recursive self-improvement (RSI) means—and why labs are racing toward it
 - How OpenAI’s legal win against Elon Musk clears the runway for a potential IPO
 - Why Google’s AI strategy suddenly looks both confusing and incredibly ambitious
 - What Google’s shift from “search” to autonomous AI agents means for websites and SEO
 - Why AI solving an 80-year-old math problem matters more than most people realize
 - How NVIDIA, SpaceX, and compute infrastructure are becoming central to the AI race
 - Why electricity—not chips—may become the biggest bottleneck in AI expansion
 - What Demis Hassabis means when he says we’re at the “foothills of the singularity”
About Leveraging AI
The Ultimate AI Course for Business People: https://multiplai.ai/ai-course/
YouTube Full Episodes: https://www.youtube.com/@Multiplai_AI/
Connect with Isar Meitis: https://www.linkedin.com/in/isarmeitis/ 
Join our Live Sessions, AI Hangouts and newsletter: https://services.multiplai.ai/events
If you’ve enjoyed or benefited from some of the insights of this episode, leave us a five-star review on your favorite podcast platform, and let us know what you learned, found helpful, or liked most about this show!

Can Claude really run major parts of your business… if it can’t even be triggered from the outside world?
Turns out: yes—but only if you know the workarounds. In this episode, we tackle one of Claude’s biggest limitations and break down practical ways to connect it with the rest of your business ecosystem. If you're building AI-powered workflows and feel like you've hit a wall, this episode may save you weeks of experimentation.
The takeaway: don't wait for perfect tools. The smartest operators build systems around constraints. You'll learn three practical approaches to make Claude work with external platforms—and how to choose the right one for your use case.
In this session, you'll discover:
Why Claude's inability to accept external triggers creates operational bottlenecks
How a LinkedIn content machine generated a 250% increase in engagement
How ClickUp, N8N, Claude, and Gemini can work together in one system
The pros and cons of using API-driven workflows instead of Claude Cowork
How Scheduled Tasks can act as a substitute for real triggers
Why Claude Code Routines may be the closest thing to a complete solution today
How GitHub repositories unlock cloud-based AI workflows and reusable skills
Which option makes sense depending on your business needs and technical complexity

About Leveraging AI
The Ultimate AI Course for Business People: https://multiplai.ai/ai-course/
YouTube Full Episodes: https://www.youtube.com/@Multiplai_AI/
Connect with Isar Meitis: https://www.linkedin.com/in/isarmeitis/ 
Join our Live Sessions, AI Hangouts and newsletter: https://services.multiplai.ai/events
If you’ve enjoyed or benefited from some of the insights of this episode, leave us a five-star review on your favorite podcast platform, and let us know what you learned, found helpful, or liked most about this show!