Leveraging AI

What happens when AI starts building the next generation of AI—and even its creators admit they don't know what comes next?
This week, we explore a convergence of breakthroughs, billion-dollar bets, government oversight, and legal accountability that could reshape business faster than most leaders are prepared for. Anthropic's latest research suggests we're approaching an era where AI systems increasingly improve themselves, while governments are simultaneously looking for ways to slow, regulate, or gain visibility into the process. 
For business leaders, this isn't a future problem. It's a present-day strategic challenge. The organizations that understand how these forces connect—from AI capability acceleration to trillion-dollar capital markets and industry-wide disruption—will be far better positioned to navigate what's coming next.
In this session, you'll discover:
 Why Anthropic believes recursive self-improvement may arrive sooner than most institutions are prepared for. 
 How AI is now generating the majority of code used to improve future AI systems. 
 What the latest AI performance gains mean for software development, research, and innovation. 
 Why OpenAI and Anthropic are pursuing trillion-dollar-scale IPOs. 
 How AI-driven consolidation could transform industries such as accounting. 
 The emerging government response to increasingly powerful frontier AI models. 
 Why policymakers are exploring new forms of oversight, ownership, and control of AI infrastructure. 
 The growing debate around legal liability when AI-generated mistakes create real-world consequences. 
 What business leaders should be watching over the next 12–24 months.
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 does AI transformation actually look like when it's done right?
After 300 episodes exploring AI's potential, it's time to go behind the scenes with one of the most advanced AI adoption stories we've seen. Not a Silicon Valley software company. Not an AI startup. A manufacturing business with 360 employees that has embedded AI into the way it works, builds, sells, and innovates.
In this special 300th episode, Isar Meitis sits down with Ari Supran, CEO of Sonance, to unpack the real-world journey of transforming an established business with AI. From leadership buy-in and employee training to custom-built applications, internal AI infrastructure, and company-wide adoption, this conversation offers a practical blueprint for business leaders looking to move beyond experimentation and into execution.
If you're wondering how to turn AI from an interesting tool into a competitive advantage, this episode provides a rare look at what's working, what's not, and what comes next. 
In this session, you'll discover:
 Why leadership involvement—not delegation—is the foundation of successful AI transformation 
 How Sonance grew AI adoption to more than 100 active employees across the organization 
 The "orchestrator" role that's creating a new category of business value 
 How non-technical domain experts are building powerful internal applications 
 Why custom AI-powered tools can outperform expensive off-the-shelf software 
 The infrastructure required to scale AI safely across an enterprise 
 How AI agents and connectors are accelerating productivity throughout the company 
 The role of knowledge graphs, context, and clean data in the next phase of AI adoption 
 Lessons learned from three years of experimentation, implementation, and continuous learning 
 What business leaders should do today to prepare for the next wave of AI transformation
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 AI could produce two weeks of business analysis in five minutes?
Most leaders are still using AI as a chatbot—asking questions, generating content, and brainstorming ideas. But the real opportunity lies elsewhere: teaching AI how to execute repeatable business processes on demand.
In this episode, Isar Meitis reveals why AI skills may be the most important advancement in practical AI today. You'll learn how to transform AI from a conversation partner into a digital coworker that can generate reports, build presentations, create dashboards, manage workflows, and execute complex business tasks with minimal input.
Whether you're leading a team, scaling operations, or looking for ways to eliminate repetitive knowledge work, this episode provides a roadmap for creating AI systems that deliver real business outcomes.
In this session, you'll discover:
 What AI skills are and why they matter more than prompting 
 The difference between AI skills, agents, and orchestrators 
 How AI can turn raw business data into executive-ready reports 
 Why specialized skills outperform one-size-fits-all AI workflows 
 How Claude and ChatGPT automatically select the right skills 
 Real-world examples of skills used for branding, proposals, reporting, presentations, newsletters, and more 
 How to make your AI capabilities portable across platforms 
 Why AI skills can become the foundation of a scalable digital workforce 
 How orchestrators connect multiple skills into powerful business systems 
The future of AI isn't better prompting, it's building reusable skills that allow AI to perform work consistently, accurately, and at scale. Once you understand how skills work, you can create AI-powered systems that function like employees rather than chatbots.
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/

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!