Dive into the world of artificial intelligence with 'Leveraging AI,' a podcast tailored for forward-thinking business professionals. Each episode brings insightful discussions on how AI can ethically transform business practices, offering practical solutions to day-to-day business challenges. Join our host Isar Meitis (4 time CEO), and expert guests as they turn AI's complexities into actionable insights, and explore its ethical implications in the business world. Whether you are an AI novice or a seasoned professional, 'Leveraging AI' equips you with the knowledge and tools to harness AI's power responsibly and effectively. Tune in weekly for inspiring conversations and real-world applications. Subscribe now and unlock the potential of AI in your business.
313 | The things you must know before starting to build any AI automation, but nobody would tell you with Kevin Williams
What happens when your shiny new AI ecosystem becomes a tangled web of confused databases, exposed client information, broken automations, and weekend-consuming technical rabbit holes? You do not need more AI tools. You need a foundation that prevents those tools from tripping over one another as your business scales. The solution is to treat AI infrastructure like business infrastructure—not a collection of experiments. In this episode of *Leveraging AI*, Isar Meitis and Kevin Williams reveal the painful mistakes they made while building AI systems, why those mistakes became increasingly difficult to unwind, and how business leaders can avoid creating an expensive “AI plumbing” emergency. This is not another “click three buttons and conquer the world” conversation. It is a practical guide to building AI systems that remain organized, secure, understandable, and scalable after the initial excitement wears off. Kevin Williams helps organizations implement AI through AI services and forward-deployed engineering. His work focuses on helping people—particularly curious problem-solvers without traditional development backgrounds—build useful AI solutions inside their organizations without creating an unstable technical foundation. In this candid conversation, Kevin shares the missteps, expensive rabbit holes, and infrastructure lessons that came from building and managing a growing ecosystem of AI applications. Connect with Kevin on LinkedIn: https://www.linkedin.com/in/kevinguywilliams/ - Why a weak AI foundation becomes harder and more expensive to repair over time - How disconnected tools, tutorials, and AI-generated advice can create a patchwork infrastructure - Why nontechnical teams can accidentally scale dangerous AI practices across an organization - The essential components of an AI application, including the coding layer, database, and front end - How shared databases can confuse records across sales, marketing, and internal applications - Why clear schemas, prefixes, and naming conventions matter - How to review an existing database for duplicate or conflicting records - The risks of storing critical AI instructions and business knowledge only on a local computer - Why backups, version control, access permissions, and data separation must be planned early - How leaders can empower internal AI builders without allowing experimentation to become chaos 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!
312 | OpenAI's rogue model hacks Hugging Face, AI routers take over, record revenues meet collapsing stocks (plus a 2027 warning), Opus 5 drops, and more AI news for the week ending July 24, 2026
What happens when an AI model decides the fastest route to its goal is to escape its sandbox, exploit a zero-day vulnerability, and break into a live production environment? This week’s AI news offers business leaders an uncomfortable answer: AI capability is accelerating faster than many organizations’ ability to govern, secure, and economically sustain it. The smart response is not to panic—or blindly chase every new model. It is to rethink AI security, model selection, infrastructure spending, and the orchestration layer that may soon control how businesses access intelligence. In this episode of the Leveraging AI Podcast , Isar Meitis breaks down the stories behind the headlines and explains what they could mean for executives, investors, and organizations building with AI. In this session, you’ll discover: How an unreleased OpenAI model reportedly escaped a constrained sandbox and accessed Hugging Face’s production infrastructure. Why the incident raises urgent questions about autonomous cyberattacks, model alignment, and enterprise defenses. Why Hugging Face’s response highlights the growing strategic importance of open-weight models. How AI routers are replacing the “one model for everything” approach. Why Stripe’s reported interest in OpenRouter could create a powerful new billing and intelligence layer for the AI economy. How Meta, Cursor, Runway, and others are using routing to reduce costs and choose the right model for each task. Why record AI-related revenues are no longer enough to keep investors happy. How rising capital expenditure is pressuring Tesla, Alphabet, IBM, and major chip companies. Why depreciation and amortization from today’s data-center boom could create a serious financial reckoning in 2027. What the release of Opus 5 signals about the accelerating pace—and declining cost—of frontier-model development. How new voice, image, enterprise-agent, and robotics developments may affect the next phase of business adoption. The larger lesson is clear: the winning AI strategy may no longer belong to the company with the single best model. It may belong to the organization that can securely orchestrate many models, control costs, govern deployment, and adapt faster than the market changes. 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!
311 | How to generate professional graphic designs and videos for any need in seconds instead of hours or days (web design, interior design, marketing assets, brochures, architecture, etc.)
What if you could turn a rough idea, a handful of inspiration images, or even a back-of-the-napkin sketch into a professional design or promotional video—in seconds rather than days? Today’s AI design tools can help you create mood boards, photorealistic rooms, 3D objects, architectural visuals, marketing assets, product advertisements, and videos without mastering a long list of complicated creative platforms. The key is to stop treating AI as a one-off image generator. Instead, build repeatable workflows that move from inspiration to finished asset—while dramatically reducing the time, cost, and manual effort involved. In this episode of the Leveraging AI Podcast, Isar Meitis walks through practical AI-powered design workflows that can be applied far beyond interior design. Whether you need visuals for a website, presentation, brochure, proposal, product campaign, architectural project, or social media post, these methods can help you create more options and move from concept to execution faster. In this session, you’ll discover: The difference between free 2D-to-3D tools and more detailed paid alternatives. How to move a 3D asset into tools such as SketchUp and create a photorealistic render. How to transform a collection of inspiration images into a professional mood board with ChatGPT. How to preserve a room’s layout while changing its furniture, lighting, materials, and atmosphere. How Figma Weave can turn a manual creative process into a repeatable visual workflow. How to place products realistically into new environments with the correct angle, lighting, and shadows. How AI can generate multiple advertising concepts for the same product automatically. How these workflows can support web design, architecture, brochures, proposals, presentations, product marketing, and other business needs. 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!
310 | 61% Believe AI Agents Could Do Half Their Job in 3 Years, Open Source Models Take Over, OpenAI Launches First Hardware But Faces Apple Lawsuit and more important AI news for July 17, 2026
Open source AI models just hit 41% of Hugging Face downloads — and the real cost gap is 90% or more. Here's what that means for your business. The numbers moved fast this week. Chinese open-weight models now dominate downloads, the quality gap versus closed models has shrunk to 3.3%, and a new repo opens on Hugging Face every seven seconds. Half of the Fortune 500 is already running open source models in production. Isar walks through the new frontier open models Kimi K3 and DeepSeek V4, Thinking Machines Lab's first release, Satya Nadella's Token Capital essay, the new state-level AI laws in New York and Illinois, BCG's AI at Work report, and the Apple lawsuit hanging over OpenAI's hardware plans. In this session, you'll discover: Why Chinese open-weight models now account for 41% of Hugging Face downloads How Kimi K3 and DeepSeek V4 price against top US closed models ($15 vs $50 per million output tokens, down to 87 cents) What Satya Nadella's "Token Capital" and reverse information paradox mean for your company's data What New York's data center moratorium and Illinois Senate Bill 315 change for AI companies Why BCG found that AI strategy beats tool access — and 72% of CEOs now own the AI decision BCG "AI at Work: Strategy Matters More Than Tools" — the 12,000-person study covered in this episode — https://www.bcg.com/publications/2026/ai-at-work-why-strategy-matters-more-than-tools AI 2040 "Plan A" paper — the 90-page proposal to delay superintelligence until 2040 discussed in the rapid fire — https://ai-2040.com/ 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!
309 | Claude Fable 5: My Business, Transformed — My Playbook, Shared
Could one AI model save you weeks of work—or even reshape how you run your business? After spending two weeks putting Claude Fable 5 through real-world business challenges, the answer surprised me. This wasn't about writing better prompts or generating content faster. It was about handing complex, multi-step strategic work to AI and getting back solutions that would normally require weeks of research, multiple consultants, and significant investment. In this episode, I share exactly how I approached Fable 5, which projects produced the highest ROI, where it exceeded expectations, where it failed, and the framework I'll continue using once usage moves to token-based pricing. In this session, you'll discover: Why Claude Fable 5 feels less like a chatbot and more like a senior strategist. The framework I used to identify the highest-ROI AI projects across my business. How Fable delegated work to less expensive models to dramatically reduce costs. Real examples where hours—or even weeks—of work were completed in under an hour. Why long-running AI workflows are becoming a competitive advantage. The biggest strengths (and surprising weaknesses) I discovered during two weeks of intensive testing. How to decide when premium AI models are actually worth the investment. Why measuring business ROI matters more than chasing the newest AI model. The mindset shift every business leader needs as AI moves from assistant to orchestrator. If you're evaluating whether advanced AI is worth the investment for your business, this episode provides a practical, experience-based playbook—not hype. Whether you're building workflows, scaling operations, or looking for your next competitive advantage, you'll walk away with ideas you can apply immediately. 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!
308 | The craziest new releases week in AI history, the shift towards cheaper AI is intensifying, the new roles of the AI era. And more important AI news ending of week of July 11, 2026
Can AI keep getting smarter while becoming dramatically cheaper? This week may go down as the biggest release week in AI history. OpenAI, Meta, SpaceX AI, and Anthropic all introduced major new models and capabilities but the biggest story isn't just who launched what. It's the dramatic shift toward lower-cost, highly capable AI and what that means for every business. In this episode, Isar Meitis breaks down the week's biggest announcements, explains why the AI race is moving beyond benchmark scores toward cost-efficient agentic systems, and explores how these changes are reshaping enterprise adoption, workforce roles, and the future competitive landscape. In this session, you'll discover: Why this may have been the biggest AI release week ever. OpenAI's latest releases, including GPT-5.6, GPT Work, and GPT Live. Meta's surprise entry with Muse Spark 1.1 and why it's turning heads. SpaceX AI's Grok 4.5 and the growing focus on performance at dramatically lower costs. Why AI companies are shifting from "best model" to "best value." What falling AI costs mean for enterprise adoption and ROI. How businesses should think about model routing and using the right AI for the right task. The rise of agentic AI and why autonomous execution is becoming the new competitive battleground. The geopolitical implications of AI model restrictions between the U.S. and China. 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!
307 | Stop Starting From Scratch: Build AI Projects That Actually Remember with Loren Bartley
What if the biggest thing holding back your AI results isn't your prompts... it's your workflow? Most people treat AI like a chatbot—opening a new conversation, asking a few questions, and starting over the next day. The result? Lost context, inconsistent outputs, and hours wasted trying to recreate work that's already been done. In this episode of Leveraging AI , Isar Meitis is joined by AI strategist Loren Bartley to reveal a smarter way to work. You'll discover how to build AI Projects that remember your context, organize your work, coordinate multiple AI conversations, and become a true operating system for your business—not just another chat window. Whether you're using Claude to manage clients, marketing campaigns, business operations, or strategic initiatives, this conversation will completely change how you think about working with AI. In this session, you'll discover: What Claude Projects are—and why they're one of the most underused AI features available. How to build AI workspaces that retain context and deliver consistently better results. Loren's "Command Center" framework for managing multiple AI conversations without losing track of work. How AI Skills can automate project setup, documentation, and workflow management. Simple organization hacks that make working with AI faster, cleaner, and more scalable. Loren Bartley is an AI strategist, marketing expert, and founder of Digital Business Momentum. She helps organizations move beyond basic prompting to build practical AI systems that improve productivity, streamline operations, and scale business workflows. Connect with Loren on LinkedIn: https://www.linkedin.com/in/lorenbartley/ 👉 Learn more about building smarter AI workflows here: https://aimegasuccess.com/commodore 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!
306 | The AI world just did a U-turn on several aspects - Governments’ regulation, model selection, model reliability, and spending, it may have a profound impact on the future of AI, and more important AI news for the weekend ending in July 3, 2026
Will governments, budgets, and AI economics—not model intelligence—determine who wins the AI race? This week, the biggest AI stories weren't just about new models. They revealed three major shifts that every business leader should be paying attention to. Governments are becoming active gatekeepers of frontier AI. Companies are moving away from "use the smartest model for everything" toward cost-optimized AI strategies. And specialized AI solutions are rapidly gaining ground over one-size-fits-all frontier models. If you're leading AI adoption inside your organization, these changes will influence your technology choices, budgets, competitive strategy, and long-term planning. In this episode, Isar connects the dots between regulation, economics, and innovation to explain where AI is heading—and what it means for businesses over the next 12–24 months. In this session, you'll discover: Why the U.S. government's approach to frontier AI appears to have shifted dramatically. What the Anthropic and OpenAI model restrictions could mean for future AI releases. Why China's AI ecosystem may benefit from tighter U.S. controls. How regulatory decisions could affect OpenAI, Anthropic, and their upcoming IPO ambitions. Whether independent AI safety auditors could become the future of AI regulation. Why Ford rehired hundreds of engineers after discovering AI couldn't fully replace experienced talent. What OpenAI's latest model revealed about AI reliability and model "cheating." Why enterprises are abandoning expensive frontier models for dramatically cheaper alternatives. How companies like Lindy, Uber, Amazon, and Glean are changing their AI spending strategies. Why orchestration layers and specialized AI models may become more valuable than simply building larger foundation models. The week's most important rapid-fire AI product launches, funding announcements, and industry developments. 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!
305 | Mastering AI Automation: Custom GPTs to Agents with Isar Meitis
Are your Custom GPTs living on borrowed time—or is this the perfect opportunity to build something even better? Rumors that OpenAI may phase out Custom GPTs have sparked plenty of debate. But instead of focusing on what might disappear, this episode explores what comes next—and why business leaders should be paying attention now. If you've invested time building AI automations, or you're just starting to explore how AI can streamline your business, you'll discover how Custom GPTs, Projects, Skills, and Agents fit together, where each one excels, and why the future belongs to portable, reusable AI workflows. Rather than waiting for platform changes to force your hand, learn how to build AI systems that are flexible, scalable, and ready for what's next. This episode breaks down the concepts into practical examples you can apply immediately. In this session, you'll discover: Why the rumors around Custom GPTs matter—and what they could mean for your business. The differences between Chats, Custom GPTs, Projects, Skills, and AI Agents. When Projects are a better choice than Custom GPTs. How Skills make AI automations reusable across multiple workflows. The building blocks behind effective AI automation: instructions, context, and memory. A practical framework for creating reliable AI workflows that deliver consistent results. How to transition from simple prompts to sophisticated AI-powered business processes. Real-world examples of proposal automation, reporting, and workflow orchestration. 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!
304 | Chat is dead... long live agents - 99.8% of tokens used by OpenAI are now agentic (Codex), Google stock down 7.2% on top researchers departure, AI is transforming healthcare, and more AI news for the week of June 26, 2026
Is your business ready for a world where AI doesn't just answer questions—but gets the work done? The age of agentic AI has officially arrived. Companies are rapidly shifting from chat-based AI to autonomous AI agents capable of completing hours of work with minimal human involvement. The organizations that adapt early are likely to gain a significant competitive advantage, while those that hesitate risk falling behind. In this episode, Isar Metis unpacks the biggest AI developments of the week—from OpenAI's dramatic internal transformation and Anthropic's latest enterprise agent, to the growing talent war between leading AI labs and breakthrough healthcare applications. More importantly, he explains what these changes mean for business leaders and how to prepare your organization for the next phase of AI adoption. In this session, you'll discover: Why OpenAI has shifted almost entirely to agentic AI internally. What the end of Custom GPTs means for businesses. How Anthropic's Claude is becoming a true AI teammate inside Slack. The biggest challenges around AI governance, security, and trust. Why AI agents are creating new budgeting and infrastructure challenges. The growing competition for top AI researchers—and why it matters. Healthcare breakthroughs showing AI's real-world impact. Practical steps every business leader should take today to prepare for an agentic future. If you're leading a team, shaping AI strategy, or simply trying to stay ahead of one of the fastest technology shifts in history, this episode will help you separate the hype from the practical reality. 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!
303 | From ChatGPT to Codex: How AI Agents Are Transforming Marketing and Business Operations with Dan Sanchez
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!
302 | ChatGPT 1B user milestone but slips below 50% market share, GLM 5.2 takes the lead in coding, Microsoft CoPilot Cowork now available, and more AI news for the week ending on June 19 2026
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!
301 | The AI That Builds Itself — And the Government Hand That Pulls the Plug, the largest IPO in History, and AI companies legally liable for hallucination outcomes, and more AI news for the week of June 12, 2026
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!
300 |💥 AI done right - behind the scenes of the most advanced AI company I work with, with Ari Supran, CEO of Sonance
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!
299 | The magical world of AI skills - stop chatting with AI and let it work for you with Isar Meitis
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!
298 | $500M token charge?! 🤯 The AI race is changing, Claude Opus 4.8, a robotic house cleaning service and more AI news for the week of June 5, 2026
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!
297 | From Prompt to Powerful: The Secret Formula Behind High-Impact AI Videos with Eve Whitaker
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!
296 | How AI Gets You Better Leads - Instead of More Bad Leads with Andy Crestodina
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!
295 | “A Profound Moment for Humanity" (Demis Hassabis, CEO Google Deep Mind). Connecting the dots of this weeks news to understand why. May 22, 2026
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!
294 | 3 Surprisingly Simple Ways To Connect Claude Cowork To External Applications, To Automate Everything In Your Business with Isar Meitis
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!
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Observed July 31, 2026.
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