AI Unlocks $5 Billion in Hidden Green Funding Your Business Could Be Tapping Into

Summary

Podcast Summary: Lead With AI
Episode: AI Unlocks $5 Billion in Hidden Green Funding Your Business Could Be Tapping Into
Host: Dr. Tamara Nall
Guest: Dr. Anand Verma, Founder and CEO of Expect AI
Release Date: May 6, 2025

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Introduction

In this compelling episode of Lead With AI, Dr. Tamara Nall welcomes Dr. Anand Verma, the visionary founder and CEO of Expect AI, a pioneering climate AI company. The discussion delves into how Expect AI is revolutionizing the way small and mid-sized businesses (SMEs) approach decarbonization, turning climate action from a cost center into a competitive advantage.

About Dr. Anand Verma and Expect AI

Dr. Anand Verma shares his journey from a computer scientist specializing in machine learning to the founder of Expect AI. With a strong background in AI and a passion for sustainability, Verma's mission is clear: "help small to mid-sized businesses reduce their emissions but increase their profitability" (02:08).

Expect AI focuses on "profitable climate action," using autonomous AI agents to analyze public data, uncover hidden efficiencies, and drive both environmental and economic benefits for businesses.

The Need for Climate Action in SMEs

Verma highlights a critical gap: SMEs, numbering 330 million worldwide, contribute 40-50% of global emissions yet remain largely unaddressed in climate conversations. These businesses often lack the ideas, capital, and knowledge to implement effective sustainability measures. Expect AI aims to bridge this gap by leveraging AI to make sustainability accessible and profitable for these enterprises.

Notable Quote:
“Expect AI's mission is to use the power of data, public data especially, and use the power of AI to help these companies who are truly in desperate need to create a better outcome for them, become more profitable, but also become more sustainable.” (04:13)

How Expect AI's Platform UNA Works

The core of Expect AI's solution is the UNA platform, which creates an Adaptive Carbon Profile for businesses. This profile is generated using the world's first climate knowledge graph, a sophisticated neural network that maps relationships and opportunities between businesses and available green initiatives.

Verma explains that UNA can “calculate the emission of a company without that company putting their own private data” by utilizing publicly available information such as a company's website and disclosures (06:06). This not only simplifies the process but also instills trust by ensuring data provenance and transparency.

Notable Quote:
“What we have done is we have gathered, ingested all that subsidy data into easy to use so that SME can say, hey, I'm looking for this particular subsidy.” (09:02)

Customer Experiences and Impact

Expect AI has identified £5 billion worth of green subsidies in the UK alone that are typically underutilized by SMEs. UNA streamlines the application process, reducing what traditionally takes six months to a mere six minutes, significantly boosting the bottom line for businesses.

Verma's vision is ambitious: “Can AI help SMEs double their profit and double their impact?” (09:38). Early results indicate that UNA not only aids in cost savings but also enhances sustainability efforts, creating a new balance sheet for companies that intertwines profit with environmental responsibility.

Ethical Considerations in AI and Data Privacy

The conversation shifts to the ethical dimensions of AI, particularly concerning data privacy and the risk of fake content. Verma emphasizes two core principles for Expect AI:

1. Transparency: All data sources are clearly identified, ensuring traceability and auditability. This is crucial for sectors like climate and finance, which require reliable and verifiable data (14:25).

2. Human Autonomy: Expect AI upholds that “AI should not replace humans, it should augment humans.” By maintaining a human-in-the-loop approach, the platform ensures that AI-driven decisions align with user intentions and ethical standards (14:25).

Verma also touches on the broader societal impacts, expressing concern over AI-generated fake content and the importance of building trust and integrity within AI systems (22:44).

Vision for 2030

Looking ahead to 2030, Verma envisions Expect AI as the AI backbone for SMEs globally, enabling businesses to focus on their core operations while AI handles sustainability and profitability enhancements. He projects that UNA could help reduce 500 megatons of emissions and generate $40 billion in savings by 2030.

Notable Quote:
“UNA has the power to be the AI backbone for the SMEs and just like LinkedIn did with billions of professionals, I think I would love to do that for 350 million SMEs out there.” (27:24)

Practical Takeaways for Listeners

Verma encourages listeners to take immediate action by exploring how Expect AI can benefit their businesses. By simply entering their company name into UNA, businesses can uncover potential improvements without the usual complexity and time investment.

Actionable Advice:
“I really urge this listeners of this wonderful podcast to put their company name in or put one of the suppliers in and say, you know what, I'm just going to, I'm curious to find out what improvements I can make for this company or my company and so on, so forth.” (18:19)

Future Expansion and Global Reach

Currently operating in the UK, Expect AI is aggressively expanding into the US, targeting key states like New York, California, and Massachusetts by the end of the year. Verma expresses a strong interest in Africa, believing that AI can play a transformative role in democratizing knowledge and fostering economic growth across the continent (20:07).

Personal Insights and Rapid Fire

In the rapid-fire segment, Verma shares his thoughts on:

• Most Overrated Take: “The metaverse for companies or SMEs” and the fear that “AI will take your job,” which he counters by advocating for AI-augmented human roles instead of replacements (26:01).

• Most Underhyped AI Breakthrough: Agentic AI, which he believes can handle routine tasks, allowing humans to focus on high-impact activities (26:36).

• Book Recommendation: “The Ministry for the Future” by Kim Stanley Robinson, a blend of sci-fi and reality that envisions actionable climate strategies (27:00).

Conclusion and Contact Information

Dr. Verma wraps up by inviting listeners to engage with Expect AI via their website expectai.com or through LinkedIn. He emphasizes the platform's availability in the UK and upcoming launches in the US, encouraging businesses worldwide to embark on their sustainability journey with UNA.

Notable Quote:
“Expectai.com is the perfect place to go and start your journey on UNA.” (19:39)

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Key Takeaways:

• Expect AI is transforming SME decarbonization by making climate action profitable through AI-driven insights and automation.
• The UNA platform leverages public data to create Adaptive Carbon Profiles, enabling businesses to access and utilize green subsidies efficiently.
• Ethical AI practices, including transparency and human autonomy, are foundational to Expect AI’s operations.
• By 2030, Expect AI aims to significantly reduce global emissions and generate substantial economic savings for SMEs worldwide.
• Action Steps for Businesses: Explore Expect AI’s UNA platform to identify and implement sustainability improvements with minimal effort.

For more information or to get started, visit expectai.com or connect with Anand Verma on LinkedIn.

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This summary provides a comprehensive overview of the episode, capturing the essence of the discussions, key insights, and actionable conclusions shared by Dr. Anand Verma.

Transcript

[Dr. Tamara Nall]

What if climate action wasn't a cost center, but a competitive edge? What if small and mid sized businesses could cut emissions and grow profits powered not by consultants nor carbon credits, but by autonomous AI agents working behind the scenes. Today on Lead with AI, I'm joined by Dr. Anand Verma, founder and CEO of Expect AI and a climate AI company that's flipping the script on how businesses decarbonize. From a string of successful exits to leading a 700 million euro in digital innovation. At Emphasis, he is on a mission to humanize AI and fight climate change at scale. His AI doesn't only analyze, it acts. It taps into public data, financial finds hidden efficiency and drives real environmental and economic results. If you care about the planet, believe in tech that serves people and want to see what real impact looks like when AI meets intent. This episode's for you. Let's dive into the mind of a founder who's using AI to build a better future for businesses and the earth. Let's get into it. Welcome to lead with AI. I'm Dr. Tamara Nall. In each episode, we will take you behind the scenes with visionary leaders shaping the future of AI across public and private sectors. Join us as we explore groundbreaking projects and innovations that are transforming industries and making a real impact on people's lives. Let's dive in. Hi everyone. My name is Dr. Tamara Nall. I am your host with with the Lead With AI podcast and I'm so excited today to have Anand Verma from Expect AI. Welcome Anand. How are you?

[Dr. Anand Verma]

I'm great. Great to be here, Dr. Tamara. Really appreciate it.

[Dr. Tamara Nall]

Absolutely, absolutely. So tell us a little bit about you.

[Dr. Anand Verma]

All right, so it's a long story but I'll cut it short. So My name is Dr. Anand Burma. I'm the founder and CEO of Expect AI and our mission is to help small to mid sized businesses reduce their emissions but increase their profitability. So we call that profitable climate action. I've been a computer scientist in the past doing machine learning when AI was not that popular. But I feel that AI has come at the right time to help my customers and the small businesses be successful.

[Dr. Tamara Nall]

Amazing. So you're a pioneer. So you were there before it was there?

[Dr. Anand Verma]

I think the same. Right. Sometimes it takes time to become democratized and I feel that, you know that this is truly in the hands of real people and people who are not technical, but using AI to kind of truly transform their business and personalize.

[Dr. Tamara Nall]

Right. Love that. So let's talk about our listeners. Like to know about our guests and who you are at your core. So tell us about who you are at your core. Because every great AI product starts with a vision. It's a moment, it's a process problem that made you say, you know what, this needs to exist. So talk to us a little bit about that.

[Dr. Anand Verma]

Yeah, it's a great one. You know, and sometimes you have to introspect about yourself when these questions actually come in. At the heart of myself, I am a problem solver and I also consider myself a kind of a creative technologist. Right. So I always look at how the system change could be made with the power of technology, but also understanding of the human being. So, so that's who I am. And the origin of Expect AI is this kind of sector called small to mid sized businesses. And just to give you some numbers, Tamara, there are 330 million small businesses in the world. They are the heartbeat of any economy. They contribute 40 to 50% of the global emissions. And yet nobody is talking about them. Nobody is talking about them. They're short of ideas, they're short of capital and they're short of knowledge. And I truly believe. Right. Expect AI's mission is to use the power of data, public data especially, and use the power of AI to help these companies who are truly in desperate need to create a better outcome for them, become more profitable, but also become more sustainable. That's where Expect AI comes in.

[Dr. Tamara Nall]

Got it. And if I'm a small business, is there a certain type of small business, do I need to be retail and brick and mortar? Talk to me a little bit about that.

[Dr. Anand Verma]

Absolutely. So, you know, I think we are more of a horizontal platform. So what I mean by that is that we include all kinds of companies, yet there are some companies who are going to take more advantage of our platform than the other right now. So if I'm a highly emitted company, like I'm in agriculture or construction or let's say transportation, those companies truly get attracted by our platform because there is a insurmountable amount of pressure on top of them, either from their procurement or from their supply chain and so on and so forth. And also they want to do good and they want to take action. So I would say our platform is highly inclusive and accessible, but you'll see a bit of a kind of curve whereby the highly emitted sector will deploy our solutions faster than some of the companies who are not yet. Like fashion is a great example. It's a very highly emitted sector and we see fashion as a great kind of opportunity. Industry sector is a great opportunity for our platform to Truly make a difference.

[Dr. Tamara Nall]

Okay, now let's talk about that holy smokes moment. What's, what's the jaw drop moment? When people first experience expect AI and realize that it changes everything for them in terms of moving more towards profitability?

[Dr. Anand Verma]

Yeah, no, I think, I think, you know, holy smokes is a great one because, you know, sometimes you wonder why are you doing what you're doing and how you're doing what you're doing. And I really believe that for us, when our platform is called UNA tomorrow. So when UNA starts to calculate the emission of a company without that company putting their own private data and shows the path of success, people like, where did that come from? Right, where did that come from? And I think for us it's that kind of wow moment which kind of connects with the user, connects with the business and says that we are here for you. We have done the hard yard to understand you. You know, remember you have a website. Remember when you've disclosed something on SAC or in company's house in the uk, we have actually gathered that information, create a profile, a Persona of you and we are now kind of giving back to you. Right. That makes your business more successful. That is wow. Right. And I hope there are many wows are in the platform, but I let the users decide if they believe me or not. Right. But that to me is this interrelationship between public data, AI and ability for it to create what we call an adaptive carbon profile. Which is same way you have got our profiles on LinkedIn.

[Dr. Tamara Nall]

Yes. Yep.

[Dr. Anand Verma]

On our platform. We've got SME profile on our platform that is created off the bat from publicly available data. Right.

[Dr. Tamara Nall]

Oh, wow.

[Dr. Anand Verma]

Wow, that is. Wow. So that's my kind of big kind of punch in line here to see that, you know, this is, this is, this is cool. And I'm hoping that adaptive carbon profile becomes a standard.

[Dr. Tamara Nall]

Yes.

[Dr. Anand Verma]

Three years, four years time. So any company looking for any company, they go to una, they type the company name and it's there. Boom.

[Dr. Tamara Nall]

Right? It's like they know that they've gone through, you know, and you set the standard in terms of their carbon footprint. Okay, I love that.

[Dr. Anand Verma]

That's cool.

[Dr. Tamara Nall]

I love that. So tell us about a customer experience where they used the platform and had results. They were like, oh my God, is this like really happening? What are. Give us the best example you can about.

[Dr. Anand Verma]

So think of UNA as like a neural engine with climate and business intelligence. So today, tomorrow there is climate intelligence and then there's business intelligence. So we see a white space Where UNA can bring a role, play a role in bringing those two things together.

[Dr. Tamara Nall]

Right.

[Dr. Anand Verma]

So what we have done is we have made it as easy as typing your company name into a Google like search and then it creates a profile for you. So like I said, it's adaptive carbon profile. Now that adaptive carbon profile is built with world's first climate knowledge graph. Right? And why do we say knowledge? Because knowledge drives insights and insights drive actions. And this knowledge graph is basically a neural network of relationships and opportunities. So let's say Tomorrow PLC or Inc. Is a company searching for itself on the platform. We're able to actually connect you with opportunities and connect you with what you should be doing. Right. So we brought for savings. For savings? Yeah, absolutely, for savings. But also furthermore we are using a gentic experience. So for example, in the UK, if I can share an example, there is £5 billion worth of green subsidies available. Normally every year it gets underused or unused by the companies. Now what we have done is we have gathered, ingested all that subsidy data into easy to use so that SME can say, hey, I'm looking for this particular subsidy. And then the agent does all the work, all the nine steps. And what used to take six months now takes six minutes for that company to get that delivered into their bottom line. So our goal is to create a new balance sheet for the companies. Can AI help SMEs double their profit and double their impact? That's our thesis. We're still early in that process, but I truly believe that we can make them more profitable, more productive and more sustainable. So our experience has to be jaw droppingly amazing. Right? From searching a company to following the agents, to making sure that they're notified when something happens is for us is really, really important part of our offering to our customers.

[Dr. Tamara Nall]

That's amazing. So let's go under the hood a little bit, let's go into the brain of the platform. What if I'm a new business and I don't have really a social media or digital electronic footprint? Is there a certain sweet spot in terms of how many years, the type of presence I have out there? Talk to us a little bit about that.

[Dr. Anand Verma]

Yeah, it's a really good question. So I think our thesis is that if I'm an existing business, I have my digital estate and I can go and find stuff about me, right? But if I'm new business, what we do is if there is no data then we create what we call is a proxy data. Right? So what are the companies like you out there? So that we create a profile for you and we give it a confidence score. And that confidence score may be very low, but the idea is to get you to start ingesting your private data, right? So that engagement, that relationship, that trust is super critical for us to build a longevity in our platform. Right? So we don't discount anyone. We want to be an inclusive company. And climate is one of those things. You have to work together, right. This is not like, hey, Anand Verma has solved the problem. That's not the intent here. Intent here is to find, find this systemic change contributors that enables that newbie to feel that they can also contribute. Right. And that's really important part of it.

[Dr. Tamara Nall]

Yeah, I love that. And so you put in, let's say, so one of my companies is the leading niche. You can put that in and then do I need to put in that I'm in California or New York or.

[Dr. Anand Verma]

Exactly, exactly. So we capture, capture. So think of this as a kind of a mind map of your company, right? So I know your company will be in the center, your location will pop out, then your industry sector will pop out, then how many employees pops out, how much your revenue pops out, and so on, so forth. So we build this neural network, right?

[Dr. Tamara Nall]

Okay.

[Dr. Anand Verma]

And that neural network finds opportunities, it creates, you know, detects anomalies. It creates, you know, new ways of looking at your business that you hadn't before. So right now, if it's a new business, start small. But if it's existing business, it already spawns across multiple different fold. Right? So that's been our biggest kind of contribution to our technology over the last three years is building that network first and then building the app on top of it. Right? And that's why AI is very, very powerful. When the data is there, if it's not there, then it kind of struggles to create some. Right.

[Dr. Tamara Nall]

Right. Now if my profile is created, can I then edit it to make it more accurate?

[Dr. Anand Verma]

100%. So our goal is that, you know, to show companies that they can start their job in a very accelerated fashion or they work in a very accelerated fashion. That's why we use public data. That's first, second, we always invite them to add their private data. So if you remember what happened to LinkedIn back in 15 years ago, they start to ask you about, you know, Dr. Tamara, which university did he go to? Hey, when did you last graduate? Hey, which company did you work? So it kept asking you that question. So that progressive disclosure build your profile to be accurate. Now it's become a muscle memory. But Back in the day, they'll give you a 60%, 70%, 80% profile completeness score. So we are following a similar psychological path. Right? So, but in our case, 60% is already there from the public data.

[Dr. Tamara Nall]

Okay.

[Dr. Anand Verma]

So adding the rest, 10, 15, 20% over the period to come is where we kind of get a lot of priority, having data from our customers.

[Dr. Tamara Nall]

Okay. Now, as you think about the development of the platform, what are the ethical lines that you're watching and how do you protect the human and privacy in all of this?

[Dr. Anand Verma]

It's a really, really good question. And I think it's. With AI, there's a huge amount of debate on, you know, how do you, you know, how do you kind of look at that line of ethics versus, you know, plagiarism or copyright, for example? So I think two things kind of keeps me awake all the time. One is transparency, and then second is the autonomy. Right? So every data that we collect, we show the source of where did the data actually originate from? That's the first thing we do. And the data provenance is. And the traceability and auditability is very common core to our heart. Because climate and finance especially is an auditable asset. Right? So we want to make sure that the accountants in the financial services organization can look at our data and say, we believe in the source of this data, which means that this is auditable. Right? So that's one point. The second thing, which is I think there's a lot of debate out there, but I really believe that human in the loop is really important. So I might not have all the employees in my organization, but with AI and I'm in the loop, I feel more confident that jobs will get done the way I want it. And that's really important. So all in all, we feel that ensuring that AI augments the human agency is really core part of our thesis. AI should not replace humans, it should augment humans. So I think that's been fundamentally the core part of our manifesto of our technical design. And we make sure that we always look back and say, is this, Are we crossing the line or are we within the our manifesto thesis?

[Dr. Tamara Nall]

Okay, I love that. So now let's think futuristic. Let's Fast forward to 2030. What does the future powered by expect AI feel like to the everyday small business?

[Dr. Anand Verma]

You know, like an entrepreneur. This is my third venture introductory Tamara. And, and I think my first one, my tagline was make life simply better. And I feel that the future has to be about better planet, better society, and better businesses. And unless we make Profitable businesses, I don't think people will think about climate and the impact. So this kind of relationship between profitability and sustainability is truly kind of core to our strategy. So in the future what I would really love for AI to do is agentic AI more so. So there are a lot of jobs to be done by any company, be it a small to mid sized business or be it a large business, for example. So our mission vision is that we become the AI backbone for SMEs globally, which means that getting them to focus on their core business and growing that and let the AI do its job in order to add more time, more profitability and more sustainability is where I would like this company to be in 2030. Right. Now, if I put that in numbers, is I think we can reduce 500 megatons worth of emission by 2030 and we can add close to $40 billion in savings by 2030.

[Dr. Tamara Nall]

Right, let's do it. Yeah.

[Dr. Anand Verma]

That to me is the North Star for us. And, and I hope, I hope we get the right kind of support and custom to kind of get to that, that bhag, you know, big audacious kind of goal.

[Dr. Tamara Nall]

Yes. Now, so make us believers. If I'm listening to your podcast and there are going to be plenty of people listening to this podcast and this discussion, what can I do this week? Talk to me. What should I do this week?

[Dr. Anand Verma]

Yeah, I think, look, you know, end of the day some actions will be easier and some will be harder. So we call it more kind of changing in your policy or your kind of soft actions. But a lot of actions require capex, they require investment. Putting a solar panel on your warehouse roof or putting better energy efficient light bulbs and so on, so forth. Every little counts, right? That's the kind of first thing you've got to think about. But a lot of companies don't know where to start, how to start, what improvements they can make and so on and so forth. I really urge this listeners of this wonderful podcast to put their company name in or put one of the suppliers in and say, you know what, I'm just going to, I'm curious to find out what improvements I can make for this company or my company and so on, so forth. I really would love for you to try and see the magic happen.

[Dr. Tamara Nall]

Right?

[Dr. Anand Verma]

That will be my urge. And you know, and I can talk till the cows come home, as they say in England, but end of the day showing is believing, right? And I think that's where I believe that it's all about every little action, every Recommendation, every action and just seeing your data kind of play the role of your mirror and telling you and guiding you in terms of what you should do is the best way of getting the audience to believe in this.

[Dr. Tamara Nall]

Got it. So how does that happen? Where do we find you?

[Dr. Anand Verma]

Yeah, so look for expectai.com, it's very easy. UNA is our platforms. You'll be able to see the access. If you want to look at the demo for, let's say your country is not covered on the platform, you can ask, contact [e-mail] and we'll make it happen. Right, but I think expectai.com is the perfect place to go and start your journey on una.

[Dr. Tamara Nall]

And which countries are you in right now?

[Dr. Anand Verma]

So we are in the UK, so we cover 5.6 million companies in the UK. We are aggressively moving to the, towards the US and by new York Climate Week in September, we should be launching our product in the, in the us and by the end of this year we should cover New York, California, Massachusetts, three states. But with public data, world is your oyster, literally. Right. So we, we, we, we really believe that we can get past the full US market access by mid next year. But we are starting state by state, is, is the plan right now.

[Dr. Tamara Nall]

You mentioned you have a love for Africa. Tell us a little bit about that.

[Dr. Anand Verma]

Look, you know, my wife was, my wife is of Indian origin, but she was born in Dar es Salaam in Tanzania. And I've got lots of friends from Africa. I went to university with a lot of friends from Ghana and Nigeria and many other places. And Africa is interesting because, you know, I think it's been kind of left out of the digital revolution and that's what they did so well, moving from wired telephony to mobile telephony with all these kind of the leapfrog first time. And I say it from my heart rather than my mind, I really believe that AI democratizes knowledge and access and Africa and I have a lot of wonderful friends and Africa is full of talent, full of youth, full of opportunities. But I feel that it's been very extractive over the last 30, 40 years by external bodies and countries. But this is Africa's chance to use AI, put that at the core strategy and make sure that they actually double their profit and double their impact again. Same thing that we've just talked about for the SMEs market. So that's why I'm quite excited about what Africa can do. Not just because my wife is from there, but also I believe that AI presents the true opportunity for African youth and the leaders.

[Dr. Tamara Nall]

Right. No, I absolutely agree. I love Africa as well. I actually, my husband is Nigerian and also I lived in Nigeria way before I met him for some work that we did for a bank there and I've traveled throughout Africa. So the potential, like you said, is amazing. The talent that we, we have there and like you said, a very youthful population. So that's amazing. Yeah. Now let's move to what we call from one genius to another. So our last guest has a question for you. And that question is how do you think about the risk of fake content and data privacy, especially as parents upload images of their children to AI tools that store data in the cloud?

[Dr. Anand Verma]

You know, I've got two kids, 18 year old son and 14 year old daughter. And I have to say I worry about my daughter more than my son because of, you know, the nature of content that is available out there, especially in social media and other places. And it's a fine balance between stopping it and also trusting the Internet. I feel, I really believe trust is everything, right. And I really believe these big tech companies have to put that at the core of their agenda and government and the tech companies can do more on this. But also I have the responsibility and we have the responsibility to make sure that it's embedded in the system, embedded in our culture and value. Right? So, and one of our core values, I've got five values behind me and one of them says, you know, where is act with integrity. Right?

[Dr. Tamara Nall]

Yeah, right behind you.

[Dr. Anand Verma]

Right behind me. Right. And the reason I always put that this is that culture of the company is defined by the values. And I think every company must have those values in my view. Right. So I think we need to make sure that we don't touch personal data. It's really important for us. But company data is a different. It's for more value creation. The data is verifiable and auditable. It's really important for us and we need to make sure that we focus on why do we exist as a company. And it's about real outcomes for the business, right. So I think as long as it's grounded on trust, especially with, especially dealing with business critical information, I think that I believe will overcome the fake content and data privacy issue. But I do fear, right? I mean, you know, I can't just leave this podcast saying that hey, everything is great and blah, blah, blah. But I do fear for what AI can generate and will generate and how real it's becoming with all of these image and video tools.

[Dr. Tamara Nall]

Right.

[Dr. Anand Verma]

But I do think the responsibility lies with the company and the regulators. And it's very important because I think about as a parent, I think about my daughter. And I would not do anything in my company to hamper or hurt that community. So why can't everybody else feel and do the same? Right? So, yeah, it's a real kind of. I think it's a trust and culture topic. Dr. Tomorrow.

[Dr. Tamara Nall]

Yeah, yeah, No, I love that. And I love the fact that you said start from within. Like start with yourself and your business and myself and my business. And then I love the fact you can think about someone that is dear to you into your heart and build it with that person in mind and protecting that person.

[Dr. Anand Verma]

Exactly, exactly. And everybody has someone dear to them. Right. Mother, sister, father, brother. And I think sometimes we lose track because there's so much commercial pressure to compete that we lose track of what matters and what doesn't. Right. So anyway, it's a bit of a heart and brain kind of conversation, but I believe we need both to create a better outcome for our next generation.

[Dr. Tamara Nall]

Awesome. Okay, so let's have rapid fire. Most overrated take Trinh.

[Dr. Anand Verma]

I think the metaverse for companies or SMEs. I think I always think about how SMEs can go into this metaverse world and connect with them. And the second one I would say, if I may, is kind of AI will take your job. I don't believe a word of it. I think it's something that I feel that will evolve, like with industrial revolution and Internet and so on and so forth. But I think AI augmented human will create more opportunity and it will not take the job, is what I think.

[Dr. Tamara Nall]

Okay. Most underhyped AI breakthrough.

[Dr. Anand Verma]

You know what I'm going to say, right? So I think agentic AI, if it's done right, what I call is agentic experience models. I think that to me would be really cool to get all of these kind of things that I don't want to do, but I have to do it so I can put more time on high impact, high value stuff.

[Dr. Tamara Nall]

One book everyone should read on the future.

[Dr. Anand Verma]

All right, So I think the Ministry for the Future, I don't know if you know this. Ministry for the Future by Kim Stanley Robinson. Wonderful book, wonderful book. And it's kind of in between sci fi and reality and everything that he or most of the things that he said in the book is somewhat coming real, which is crazy.

[Dr. Tamara Nall]

Okay, we'll have to check that one out. The boldest AI prediction you believe in.

[Dr. Anand Verma]

I think I'll be selfish and say UNA will be able to make companies sustainable without much intervention from the SME directors and users. I really believe that UNA has the power to be the AI backbone for the SMEs and just like LinkedIn did with billions of professionals, I think I would love to do that for 350 million SMEs out there.

[Dr. Tamara Nall]

I know in our hook or something we're going to have that UNA, the LinkedIn or something. We'll figure out something. We're really creative. So Dr. Verma, I really have enjoyed this discussion. We've learned a lot. It's going to be helpful. We know now that you're available in the UK in September, we look forward to to your being available in the US and then we'll make sure that we always go to your website to see when you launch in different countries. So tell us again, how can we get in contact with you? How can we get to expect AI?

[Dr. Anand Verma]

Thank you Dr. Tamara. So expect AI.com Anand a n a n dxpectai.com I'm also on LinkedIn Anand Verma, you know I am a LinkedIn junkie so you can find me and I'll respond back to you.

[Dr. Tamara Nall]

Yeah, awesome, awesome, awesome, awesome. So I look forward to and thank you so much for your time and all the wonderful things that you're doing. We really appreciate you.

[Dr. Anand Verma]

Thank you so much for having me on your wonderful podcast doctor tomorrow.

[Dr. Tamara Nall]

Thank you. Thank you so much. Thanks for tuning in to lead with AI. I'll see you next time as we continue exploring the cutting edge innovations shaping AI across across the public and private sectors. Until then, keep leading with AI.