“Is your business AI-ready? (Most aren’t)”

This week on The AI Report, we’re joined by Isar Meitis, CEO of multiple successful businesses, including Multiplai—which provides businesses with AI-first strategies that streamline operations—host of the Multiplai AI Podcast, which has over 1.19K YouTube subscribers, and go-to business transformation adviser for CEOs. Isar shares his thoughts on the future of AI implementation, job displacement, ethics, and more.

🎙️ Listen to the full episode here

🔥 Exclusive for The AI Report subscribers: Get $100 off Isar’s ‘Generative AI Business Transformation Course’ with the code: THEAIREPORT. Sign up, here.

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🔓 The key parts

1. 🌿 How AI implementation has evolved since 2024

2. 💡 How AI is changing business strategies

3. 🫨 The impact of AI on job displacement

4. 🕊️ Ethical considerations and the future of AI in business

Read Time: 5 minutes

EXCLUSIVE INTERVIEW WITH ISAR MEITIS

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🌿 How AI implementation has evolved since 2024

KEY THEMES: AI awareness, technological maturity, and infrastructure advancement

Isar: "At the beginning of 2024, most people didn't have a clue what AI was and what it could do. At the beginning of 2025, most business people now know that AI exists. They know that it can impact their business. They know that it could be transformative. Most of them still don't know how, but at least they’re now aware."

Isar: “We had large language models that were okay at the beginning of 2024. But we have large language models that are exceptional on many, many, many different business tasks at the beginning of 2025, like the infancy of AI agents.”

Isar: “There are more and more companies that provide the infrastructure to make AI run in a self-secure, well-managed way, which did not exist at the beginning of 2024—unless you were an enterprise that could hire people to figure it out. But now, you have platforms that will give it to you out of the box.”

Get $100 off the ‘Generative AI Business Transformation Course’ with the code: THEAIREPORT, here.

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💡 How AI is changing business strategies

KEY THEMES: Strategic implementation, risk management, and efficiency

Liam: “When someone books a call with you, and they're interested in AI implementation, what’s ‘the change’ that you sell them? How do you get them to see that, for their business, AI makes sense?”

Isar: "On the strategic level, I get them to ask themselves: “What in your industry is going to change that will impact what your clients are willing to pay, because of AI?" For example, there might be goods and services that they're selling now that are going to diminish in value or will be completely unnecessary in the next two to three years because their customers will have access to tools that they don't have access to today. So that's a risk they need to analyze, understand, and diversify away from, otherwise, they'll be in very serious trouble.”

Isar: "On the tactical side, you can win very, very quickly with AI. I tell people to prioritize tasks based on three things: One, what supports the top line, ie. what generates more sales? Two, what supports the bottom line, ie. what saves us time and money? And three, what do your employees hate doing?"

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🫨 The impact of AI on job displacement

KEY THEMES: Job displacement, employee satisfaction, and the future of work

Isar: "I think it's very, very obvious that AI is going to take a lot of jobs away, and it's going to take a lot of high-paying jobs away, and no one knows what it means for a Western-developed country to have 30% unemployment in white-collar jobs. Nobody knows what that means because it’s never happened."

Isar: "But let’s look at the short term: I see short-term satisfaction with every single company that I work with. I'll give you simple examples… One of my clients had employees copying and pasting data, manually, from different reports. Within one day, AI automated the entire process. Now, those employees can focus on strategic decisions, rather than tedious manual work."

Liam: “But everyone assumes that AI is just gonna do your job for you. But that's not the case. It'll be able to get a good first draft, sure, but to get it perfect, you do need to have understood that skill on a manual level beforehand."

Liam: "My theory for this is that because there are so many high school and college students not understanding what the manual process is, and just using AI, they won’t understand what's good and what's not good, and it’s gonna make the market less competitive."

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🕊️ Ethical considerations and the future of AI in business

KEY THEMES: AI ethics and the role of leadership

Isar: "One of the biggest ethical challenges is that AI enables people to fabricate things that weren’t possible before. For example, you can create videos of testimonials of people that don’t exist…the temptation to push the boundaries is much greater now."

Isar: "Another ethical dilemma is around data. Let’s say you’re a healthcare company, and you have years of patient data. You could mine that data with AI to create better treatments. But those people never gave permission for their personal health data to be used in research. Should you do it? Is it ethical? That’s the kind of question companies need to ask themselves."

Liam: “You talk about how AI can ethically transform business practices. What does that look like in your teaching, your education, your podcast, and your implementation? How do you ensure some degree of ethics amongst all of this? We've never had better access to information and been able to act on it. But now we also have to ask: Just because we can do something with AI, does it mean we should?"

Isar: “At the end of the day, people are people. And each person and each company has their own line in the sand of what they're willing and not willing to do to be successful. Companies have cheated since the beginning of time and people have cheated since the beginning of time. You’ve got to decide for yourself. And if you're in a senior position, you’ve got to decide what's acceptable from a company perspective. I don't know the answer, but this is an ethical question that AI generates that didn't exist before.”