Leveraging AI

Is your job safe if it happens on a screen?
In the past few weeks, AI hasn’t just improved, it has crossed a line. From writing production-ready code to building full applications autonomously, the shift is no longer theoretical. It’s operational.
The reality? AI is moving from assistant to operator, faster than most leaders are prepared for.
In this episode, we break down what’s really happening behind the headlines, why this moment feels eerily similar to early 2020, and what business leaders must do now to avoid being caught off guard.
If you lead people, manage budgets, or make strategic decisions, this conversation is not optional.
In this session, you’ll discover:
Why a viral article comparing AI to early COVID signals a bigger structural shift
How Claude 4.6 and GPT 5.3 are moving from “helpful tool” to “finished output”
The real reason AI labs targeted software engineers first
Why “anything that can be done on a computer” is now vulnerable
How AI built a full multi-agent production pipeline in 48 hours
What Gemini 3.1 Pro’s benchmark leap actually means
Why Accenture now ties promotions to AI usage
How AI insurance is removing enterprise adoption barriers
What the India AI Summit revealed about global governance tensions
Why OpenAI’s $100B raise is both brilliant and dangerously high-stakes
How robotics is quietly moving from factory floors into daily life
Why hybrid human-AI workflows are temporary by design
The coming economic disruption — and where opportunity hides inside it
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!

Most leaders think Reddit is just a forum for memes and debates. But what if it could be your secret weapon for growth and visibility inside AI models like ChatGPT and Gemini?

In this live session, AI growth strategist Pietro Montaldo will walk you through a hands-on, step-by-step playbook on how to mine Reddit for insights, create peer-to-peer content that performs, and use it to boost SEO and get picked up by AI-driven answer engines.

We’ll show you how to:
- Scrape Reddit for real conversations in your niche
- Draft optimized, peer-style content that resonates in communities
- Make sure AI tools like ChatGPT are surfacing your answers (and brand)

Our guest Pietro is not just another growth guy. He's the founder of N-Force, a go-to expert for advanced AI tactics, and one of the most practical, sharp, and insight-driven minds in the space. Business leaders love his sessions because they walk away with actual results. Last time he spoke at our workshop, two clients reached out to him before the webinar even ended.
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-generated video becomes indistinguishable from reality — and it’s cheaper than lunch?
This week, the AI race took a dramatic turn. China didn’t just catch up — in some areas, it leaped ahead. And with video models that generate flawless visuals and synchronized audio in real time, we’ve entered a new era where “seeing is believing” no longer applies.
For business leaders, this isn’t just geopolitical theater. It’s a strategic inflection point. From AI-generated fraud and deepfake manipulation to workforce burnout driven by productivity acceleration, the rules of competition — and trust — are changing faster than most organizations can process.
In this episode, we break down what China’s AI surge really means, why deepfake technology is now a board-level issue, and how AI may be making your top performers more productive… and more exhausted.
In this session, you’ll discover:
Why China’s latest AI releases signal a shift in the global AI power balance
What makes ByteDance’s new video model fundamentally different from U.S. competitors
How AI-generated video with synchronized audio changes the fraud landscape
The growing legal and regulatory backlash from Hollywood and governments
Why “Deepfake-as-a-Service” is becoming a criminal business model
The real financial cost of AI-enabled fraud — and why it’s accelerating
Microsoft’s legal action against synthetic abuse networks
How governments are attempting (and struggling) to regulate synthetic media
Why AI may increase burnout instead of reducing workload
The “productivity treadmill” effect inside AI-enabled organizations
How AI agents are transforming coding, databases, and knowledge work
Why only a tiny percentage of employees are true AI power users
What business leaders must do now to prepare for the next wave

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 your business data could tell you exactly what’s working, what’s broken, and what to do next—without dashboards, analysts, or endless spreadsheets?
Most leaders know data-driven decisions matter.
 Very few have the time, tools, or teams to analyze data consistently, deeply, and at scale.
In this episode of the Leveraging AI Podcast, Isar Meitis is joined by Keith Moehring, CEO of L2 Digital, to break down how business leaders can use AI + automation to turn raw data into clear insights—and actionable recommendationsautomatically.
Instead of chasing reports, building pivot tables, or relying on expensive BI platforms, you’ll learn how to build an AI-powered analytics assistant that pulls data from multiple sources, identifies what actually changed, explains why it happened, and emails you the insights on a schedule you choose.
This isn’t theory. It’s a practical, repeatable system that replaces hours of manual analysis with intelligent automation—while keeping humans focused on decisions, not data prep.
In this session, you’ll discover:
Why “more data” isn’t the answer and how AI helps surface the right insights
How to automate multi-source data analysis without advanced technical skills
The 4-step framework for building reliable AI analytics automations
How AI identifies deviations, root causes, and meaningful trends
When to use rigid automation vs. flexible AI reasoning
How leaders receive clean, actionable insight reports directly via email
Why separating “analysis” and “strategy” agents improves AI output quality
How this approach applies across marketing, finance, sales, HR, and 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!

Is this the beginning of the end for SaaS as we know it?
In a single week, AI announcements erased hundreds of billions of dollars in market value from the world’s largest software companies. Anthropic, OpenAI, and a new generation of autonomous AI agents didn’t just release updates — they exposed a structural shift in how work gets done.
In this episode, Isar Meitis breaks down why this moment isn’t just another hype cycle. AI agents can now code, reason, coordinate, schedule tasks, browse the web, and run workflows in parallel — without constant human supervision. That changes the economics of software, labor, and entire business models.
The takeaway is uncomfortable but clear: large enterprises may survive — but smaller, single-purpose SaaS products are already being replaced. Business leaders who don’t adapt quickly risk being left behind by companies that can now move 10x faster with fewer people.
In this session, you’ll discover:
Why the so-called “SaaS Apocalypse” wiped out over $300B in market value in days
How AI agents are replacing entire categories of software — not just automating tasks
What Anthropic’s Claude Opus 4.6 and OpenAI’s Codex reveal about the future of work
Why multi-agent systems change productivity economics forever
The difference between enterprise infrastructure SaaS and vulnerable niche tools
Why hallucinations, autonomy, and speed create new operational risks
What business leaders must do now to stay competitive in an agent-driven world
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!