Leveraging AI

What if the biggest AI opportunity for your business isn't ChatGPT—but the tool quietly replacing it?
While much of the AI conversation has focused on Claude Code and coding assistants, a new contender is changing how business leaders think about productivity, automation, and execution.
In this episode, Dan Sanchez joins Isar Meitis to explore how OpenAI Codex has evolved far beyond software development. Together they reveal how AI agents can proactively find context, take action, automate complex workflows, and become true collaborators inside your business, not just chatbots that answer questions. 
If you're looking for practical ways to scale marketing, streamline operations, and unlock new levels of efficiency without increasing headcount, this conversation offers a glimpse into what the next generation of AI-powered work looks like. 
In this session, you'll discover:
 Why OpenAI Codex is gaining momentum beyond software development 
 The key differences between Codex, ChatGPT, Claude Code, and Claude CoWork 
 How AI agents proactively find context and execute tasks autonomously 
 Why project-based AI workflows are becoming essential for modern businesses 
 How Dan uses Codex for marketing, content creation, and process automation 
 The power of AI-accessible folders, files, and organizational systems 
 How AI can generate, manage, and improve business assets over time 
 Practical examples of automating large-scale content operations 
 Why business leaders should start thinking beyond prompts and toward AI-powered execution 
 The future of agentic workflows and AI-assisted business operations
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 a company reach 1 billion users before figuring out how to make money—and still dominate the future of AI?
This week’s AI news cycle delivered a fascinating mix of milestones, competitive shakeups, enterprise AI breakthroughs, security concerns, and agentic innovation. OpenAI crossed the historic 1-billion-user mark, Microsoft opened Copilot CoWork to the masses, SpaceX made a massive move with its $60 billion Cursor acquisition, and new open-source challengers emerged to challenge the industry's biggest players. 
For business leaders, the message is becoming increasingly clear: AI capabilities are no longer the bottleneck. Adoption, governance, employee enablement, and operational execution are now the real competitive advantages. Organizations that successfully train their teams and embed AI into daily workflows are already seeing dramatic productivity gains and measurable business outcomes. 
In this session, you'll discover:
 Why OpenAI's 1-billion-user milestone may be more complicated than the headlines suggest 
 How ChatGPT's market share slipped below 50% while Gemini and Claude continue gaining ground 
 OpenAI's new $150 million partner network and what it means for enterprise AI adoption 
 Why Microsoft Copilot CoWork could become a game changer for organizations already invested in Microsoft 365 
 The strategic implications of SpaceX acquiring Cursor for $60 billion 
 How new open-source coding models are challenging leading closed-source AI systems 
 Why AI governance and international cooperation became a major focus at the G7 Summit 
 The growing scrutiny facing OpenAI ahead of its anticipated IPO 
 New developments in agentic AI platforms from Databricks and Vercel 
 How leading companies are using AI agents to transform productivity and operations 
 What business leaders need to know about AI's growing impact on jobs, hiring, and workforce planning 
 Why employees who openly use AI may still face workplace stigma despite widespread adoption
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 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!