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    Technology

    Leveraging AI

    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.

    Advertise
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    Latest Episodes:
    281 | AI is taking over the business world: 2 people company generates $1.8B, OpenAI paying $500 an hour to train AI on professional tasks. Oracle lays off 30k, and more important AI news for week of April 3, 2026 Apr 04, 2026
    Show notes

    What happens when AI doesn’t just improve your business… but replaces how it fundamentally operates?

    The answer is already here and it’s moving faster than most leaders are prepared for. From AI models being trained by thousands of domain experts to billion-dollar companies run by just one or two people, the signals are clear: this isn’t incremental change. It’s a complete rewrite of work, organizations, and the economy.

    If you’re leading a business, the question isn’t if this will impact you—it’s whether you’ll adapt fast enough to stay relevant.

    The leaders who win will be the ones who rethink everything—how teams are structured, how work gets done, and how value is created—in an AI-first world.

    👉 Learn how to build AI agents and systems inside your business:
    https://multiplai.ai/agents-blueprints-course/

    In this session, you'll discover:

    • Why OpenAI is paying experts up to $500/hour to train AI across 400+ professions—and what that unlocks
    • How AI is evolving from a productivity tool into the core intelligence layer of organizations
    • Why traditional company structures (and middle management) may disappear
    • The rise of ultra-lean companies—like a 2-person business on track for $1.8B revenue
    • The hidden economic risk: job loss, reduced spending, and system-wide disruption
    • Why AI may de-skill the workforce—and what that means for future leaders
    • The collapse of billable hours and how it reshapes entire industries like legal and consulting
    • Real-world examples of layoffs, efficiency gains, and massive AI-driven cost shifts (Oracle, Meta)
    • Why relying on a single AI system is dangerous—and how to build redundancy
    • The shift toward AI agents replacing traditional software interfaces
    • How companies like Shopify are cutting AI costs by 75x with smarter architectures
    • The growing dependency on AI—and what happens when it goes down

    About Leveraging AI

    • Multi-Agent Orchestration Course: https://multiplai.ai/multi-agent-orchestration-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!


    280 | Build a Marketing Machine That Runs Itself with Claude Cowork (Without Losing Control) with Dr Nici Sweaney Mar 31, 2026
    Show notes

    What if your entire marketing department could run on one command… without losing your voice, your strategy, or your edge?

    The truth is, most businesses are still stuck in a world where growth depends on time, people, and manual execution. But that model is breaking—fast.

    In this episode, you’ll discover how AI agents can transform your marketing from a fragmented, time-consuming process into a streamlined, intelligent system—one that produces consistent, high-performing content while keeping you firmly in control. Dr. Nicci Sweaney is a former academic, data scientist, and business consultant who now helps organizations build AI-powered systems that transform how work gets done. With a PhD in ecology and a background spanning education, analytics, and leadership, she brings a uniquely rigorous and practical approach to AI implementation.

    If you’re serious about scaling without burning out your team (or yourself), this is the blueprint you’ve been waiting for.

    In this session, you'll discover:

    • How to build an AI-powered marketing system that creates newsletters, blogs, and social content automatically
    • Why “execution” is no longer a competitive advantage—and what replaces it
    • The concept of AI agents as team members (not tools) and how to manage them effectively
    • What “skills files” are and why they’re the secret to high-quality, non-generic AI output
    • How to maintain brand voice, personality, and strategic control with human-in-the-loop checkpoints
    • The exact process of turning weekly inputs into 15+ pieces of content with minimal effort
    • Why most AI-generated content fails—and how to avoid blending into the noise
    • How leaders should rethink roles, teams, and productivity in an AI-driven world

    About Leveraging AI

    • Multi-Agent Orchestration Course: https://multiplai.ai/multi-agent-orchestration-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!


    279 | Anthropic changing the world - again! Automate any knowledge work from your phone 🤯 leaked ‘Mythos’ model that spooks Wall Street, Musk’s 50× chip ‘Terra Fab’, OpenAI kills Sora and more AI news for the week ending on March 27, 2026 Mar 28, 2026
    Show notes

    SECURE YOUR SPOT FOR THE AGENTIC AI COURSE: https://services.multiplai.ai/agentic-course


    Are you already falling behind in the AI race—without even realizing it?

    AI isn’t just evolving—it’s accelerating at a pace that’s rewriting how businesses operate, compete, and grow. The real shift isn’t coming someday… it’s already here.

    In this episode, you’ll discover how today’s most advanced AI tools are enabling individuals to build full-scale business systems from their phone—and why the real limitation is no longer the technology, but how effectively you use it.

    If you want to stay relevant, the solution is clear: learn how to think, build, and operate alongside AI—or risk being outpaced by those who do.

    In this session, you’ll discover:

    • How Anthropic is shipping AI updates at an unprecedented pace—and why it matters
    • What “AI psychosis” is and why even top experts feel they’re falling behind
    • A real-world example of building a fully automated YouTube growth engine in days
    • The rise of autonomous AI agents that can execute business tasks end-to-end
    • Why humans—not AI—are now the biggest bottleneck
    • The 3 critical skills you need to succeed in the AI-driven future
    • What major shifts at OpenAI signal about where the market is heading
    • The growing impact of AI on jobs, hiring, and business structure
    • Why unconventional thinkers and skilled trades may dominate the future workforce
    • The emerging risks, opportunities, and ethical questions shaping AI adoption

    About Leveraging AI

    • Multi-Agent Orchestration Course: https://multiplai.ai/multi-agent-orchestration-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!


    278 | How To Build AI Agents: A Step-by-Step Playbook for Business Leaders with Jim Spignardo Mar 24, 2026
    Show notes

    AI isn’t failing companies. Poor implementation is.

    In this tactical, no-fluff session, you’ll learn exactly how to build AI agents that solve real business problems, from drafting winning RFP responses to eliminating internal knowledge bottlenecks.

    We’ll walk through a real-world example of how a 500+ employee global organization built AI agents that reduced proposal effort by 80%, improved response quality, and transformed how teams access internal expertise. You’ll see what worked. What didn’t. And how better data discipline made all the difference.

    Jim Spignardo, Director of Cloud Strategy & AI Enablement at ProArch leads AI adoption across a global Microsoft partner organization, overseeing AI governance, internal enablement, and real-world Copilot deployments. He’s built over 30 practical agents across sales, consulting, and operations — and he doesn’t just talk about AI strategy. He operationalizes it. At scale.

    You’ll leave with a clear, step-by-step framework to:

    • Identify high-ROI AI agent opportunities
    • Structure and clean your data properly
    • Design effective instruction sets
    • Avoid common implementation mistakes
    • Decide when to use agents vs. notebooks/projects

    About Leveraging AI

    • Multi-Agent Orchestration Course: https://multiplai.ai/multi-agent-orchestration-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!


    277 | AI Agents Take Over: Nvidia’s NEMO Claw, Meta’s “My Computer,” and OpenAI’s "Superapp”. Stripe & Visa’s new Machine-Payment Protocol, More investment in data centers than office buildings, and more AI news for the week ending on March 20, 2026 Mar 21, 2026
    Show notes

    📢 Want to thrive in 2026?
    Join Isar’s flagship AI Business Transformation course and save $100 with code LEVERAGINGAI100.
    🔗 Sign up here and secure your competitive advantage for 2026. https://multiplai.ai/ai-course/
    Learn more about Advance Course (Master the Art of End-to-End AI Automation): https://multiplai.ai/advance-course/

    What happens when AI stops assisting… and starts acting?

    This week makes one thing painfully clear: AI is no longer a tool, it’s becoming the workforce. From Nvidia’s enterprise push to Stripe enabling AI-to-AI payments, the shift toward autonomous agents isn’t coming—it’s already here.

    If you’re leading a business, the question is no longer if you’ll adopt AI but whether you’ll adapt fast enough to stay relevant. The companies winning right now are not the ones with the most resources but the ones with the clearest thinking, best requirements, and fastest execution.

    The opportunity? Massive.
    The risk? Also massive.
    This episode breaks down exactly what’s changing—and what you need to do about it.

    In this session, you’ll discover:

    • Why AI agents are becoming the dominant force across every major tech company
    • Nvidia’s bold move to become a full-stack AI infrastructure provider
    • How AI-to-AI payments could unlock a multi-trillion-dollar economy
    • Why OpenAI is declaring a “code red” and shifting to enterprise focus
    • The surprising data showing 73% of businesses choosing Anthropic first
    • Why traditional tools like Excel and PowerPoint are quietly becoming obsolete
    • The real reason most AI implementations fail (hint: it’s not the tech)
    • The growing gap between companies that use AI vs. truly integrate it
    • What global AI adoption trends reveal about opportunity vs. fear
    • Why 2026 is shaping up to be the year of the agent—and the year of disruption

    About Leveraging AI

    • Multi-Agent Orchestration Course: https://multiplai.ai/multi-agent-orchestration-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!


    276 | The AI Automation Playbook: Turn One Idea into 1000 Assets (Without Technical Skills) with Ross Symons Mar 17, 2026
    Show notes

    What if you could turn one AI idea into a fully scalable business system—without writing a single line of code?

    Most leaders are still stuck experimenting with AI… testing prompts, playing with tools, and hoping something sticks. But the real opportunity isn’t in experiments—it’s in building repeatable, scalable systems that drive real business results.

    In this episode, you’ll learn how to move from one-off AI wins to powerful automation engines that consistently produce high-quality outputs from marketing assets to full creative campaigns, on demand with Ross Symons, a creative technologist and co-founder of Zen Robot, blending deep technical expertise with creative execution.

    If you want to stop dabbling and start leveraging AI as a true business advantage, this episode gives you the blueprint.

    In this session, you'll discover:

    • Why most AI projects fail to scale—and how to fix it
    • The mindset shift from “experimenting” to building repeatable AI systems
    • How node-based AI tools simplify complex workflows into visual processes
    • A step-by-step approach to creating scalable AI automations
    • How to generate professional-grade images, videos, and assets at scale
    • The power of combining LLMs with generative media tools
    • How to reverse engineer outcomes—even if you don’t know where to start
    • Why AI is amplifying creativity (not replacing it)
    • Practical examples: emotion engines, content machines, and automated campaigns
    • How to drastically reduce production time and costs using AI

    Connect with Ross on LinkedIn:
    https://www.linkedin.com/in/rossmsymons/

    About Leveraging AI

    • Multi-Agent Orchestration Course: https://multiplai.ai/multi-agent-orchestration-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!


    275 | Knowledge work as we know it is over, self improving agents loops connected to Microsoft or Google eco systems are now possible, build entire software suite autonomously, Meta is cutting 20% of it’s workforce, & more AI news for Mar 13, 2026 Mar 14, 2026
    Show notes

    What happens when AI stops helping with work—and starts doing the work itself?

    This episode connects a set of developments that business leaders should not ignore. From Sequoia’s thesis that AI is replacing services, not just software, to Anthropic’s findings that AI adoption is still far behind AI capability, the message is clear: the bottleneck is no longer technology. It is implementation.

    The bigger takeaway is even more important. Google, Microsoft, and Anthropic all released capabilities this week that make autonomous, business-ready AI workflows far more practical than they were even a few months ago. For leaders, that means the window to experiment is still open—but it may not stay open for long.

    In this session, you'll discover:

    • Why AI is increasingly targeting work itself rather than the software layer around it
    • The difference between intelligence work and judgment work, and why that matters for business leaders
    • What Anthropic’s Claude usage data reveals about the gap between AI capability and actual adoption
    • Why friction—not technical limitations—is slowing AI transformation inside companies
    • How Google’s new Workspace CLI expands agent access across Gmail, Drive, Docs, Sheets, and more
    • What Microsoft Copilot Cowork could mean for enterprise automation inside Microsoft 365
    • Why AI review systems will become essential as AI-generated output scales across functions
    • How autonomous agent loops could reshape software, marketing, sales, customer service, and product development
    • What recent layoffs at Meta and Atlassian suggest about the future of knowledge work
    • The legal battles emerging around AI, from copyright to legal advice to data privacy

    About Leveraging AI

    • Multi-Agent Orchestration Course: https://multiplai.ai/multi-agent-orchestration-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!


    274 | Stop Building AI Demos: How to Build Production-Grade AI Solutions with Joanna Stoffregen Mar 10, 2026
    Show notes

    Most AI projects look impressive… right until you try to use them in production.
    A flashy demo? Easy.
    A scalable, structured, production-ready solution? That’s a different game.
    Over the past year, we’ve seen teams build incredible AI prototypes in days. But when it comes to:
    • Maintaining consistent design systems
    • Avoiding hardcoded chaos
    • Managing dependencies properly
    • Creating reusable components
    • Refactoring for scale
    • Enabling multiple teams to collaborate
    Things start to fall apart.
    That’s exactly what we’re addressing in our upcoming live session of Leveraging AI with Joanna Stoffregen. She recently published a YouTube walkthrough on building websites with AI that reached 26,000+ viewers. But what makes her approach different isn’t the tools.
    In this session, she’ll break down how to move from “vibe coding” and experimentation to production-grade AI solutions, the kind that organizations can actually ship, maintain, and scale.
    If you’re a business leader driving AI initiatives, this conversation is for you. The bottleneck in 2026 isn’t access to AI.
    It’s execution discipline.

    About Leveraging AI

    • Multi-Agent Orchestration Course: https://multiplai.ai/multi-agent-orchestration-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!


    273 | AI’s civil-war: Anthropic vs OpenAI vs Dept-of-War showdown, Anthropic revenue doubles since January 1st, GPT-5.4 & Gemini 3.1 released, Perplexity Computer launches, and more pivotal AI news for the week ending on March 6, 2026 Mar 07, 2026
    Show notes

    What happens when AI companies, the U.S. government, and national security collide in public… on social media?

    In this Weekend News episode, Isar Meitis breaks down one of the most dramatic developments in the AI industry so far: the escalating conflict between Anthropic, OpenAI, and the U.S. Department of War. What began as a disagreement over AI guardrails quickly turned into a public showdown involving government ultimatums, billion-dollar contracts, and a massive shift in public opinion across the AI ecosystem.

    The situation reveals a deeper question that every business leader should be thinking about: who ultimately controls powerful AI systems — the companies that build them, or the governments that rely on them?

    In this episode, Isar walks through the full timeline of events, analyzes the implications for the future of AI and geopolitics, and shares what this could mean for businesses navigating the rapidly evolving AI landscape.

    In this session, you'll discover:

    • What triggered the standoff between Anthropic and the U.S. Department of War
    • Why AI guardrails around surveillance and autonomous weapons became the breaking point
    • How OpenAI stepped in with a Pentagon deal — and why it sparked backlash
    • The impact on public trust, app downloads, and market perception
    • What this conflict means for the AI race between the U.S. and China
    • Why the government labeling Anthropic a “supply chain risk” could reshape the tech ecosystem
    • The broader implications for companies doing business with governments
    • Key AI model releases including GPT-5.4, Gemini 3.1 Flashlight, and Perplexity Computer
    • Why AI agents, computer-use models, and coding automation are accelerating
    • How new research shows AI study tools improving learning outcomes for students

    About Leveraging AI

    • Multi-Agent Orchestration Course: https://multiplai.ai/multi-agent-orchestration-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!


    272 | Win more business: Build Personalized, High-Impact Proposals with AI with Susan Frew Mar 03, 2026
    Show notes

    Most leaders are using AI to write emails.
    A few are using AI to close deals.
    Guess which group is winning?
    In our upcoming live session TODAY, “Win more business: Build Personalized, High-Impact Proposals with AI”, we’re breaking down the exact step-by-step system that turns client conversations into high-impact, personalized proposals in hours… not days.
    No theory.
    No fluffy prompts.
    No “10 tools you’ve never heard of.”
    You’ll see how to:
    • Turn meeting recordings into strategic insights with AI
    • Generate tailored proposals in minutes
    • Create personalized follow-up videos that wow decision-makers
    • Move faster than your competitors (and look impressive doing it)
    And we’re not just talking about it.
    Our guest, Susan Frew, CSP, is using this exact system to land major contracts — including speaking on a million-dollar stage alongside Simon Sinek and Keith Urban. She combines NotebookLM, HeyGen, Gamma, Claude and more into a practical AI sales engine that drives real revenue.
    If you're a business leader who wants AI that actually impacts the bottom line this session is for you.

    About Leveraging AI

    • Multi-Agent Orchestration Course: https://multiplai.ai/multi-agent-orchestration-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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