Future of Business Podcast

Are we trapped in an AI valuation bubble, or are we just scratching the surface of a multi-trillion-dollar technological shift?

In this episode of The Future of Business Podcast, host Jay Dhillon sits down with venture capitalist, deep-tech entrepreneur, and founder of Axiom Innovations, Sergey. From analyzing early-stage startups in Silicon Valley to pioneering contact-free holographic interfaces and investing in physical robotics, Sergey shares an unvarnished, insider view on where institutional capital is moving—and how real businesses can separate speculative hype from practical bottom-line growth.

Key Topics Discussed:

• The VC Filter: What tier-one investors look for in pre-revenue founders and why market size dictates unicorn potential.

• The 3 Stages of AI: The progression from Generative AI to Agentic AI, and why Physical AI (robotics and autonomous real-world hardware) is the true endgame.

• Hardware & Holographic Innovation: How Axiom Innovations is deploying touchless holographic tech to solve real-world hygiene constraints in surgery and streamline customer touchpoints in retail and banking.

• The Truth About Robotics: Why humanoid domestic robots are still years away, while warehouse automation, pipeline inspections, and perimeter security are scaling rapidly today.

• Practical AI Implementation for SMEs: How small businesses can eliminate operational bottlenecks, leverage vibe-coding platforms, and launch MVPs within 24 hours.

• Data Security & Privacy: Best practices for deploying local AI agents and private cloud architecture to protect proprietary customer data.

Tools & Resources Mentioned:

• Vibe-Coding & Development: Lovable.dev

• Avatars & Synthetic Voice: HeyGen, ElevenLabs

• Research & Frontier Models: Perplexity, Claude, ChatGPT, Kimi

Connect with Sergey & Resources:

• LinkedIn: Sergey (Axiom Innovations)

• Newsletter: AI Capital Newsletter

• Instagram: @SergeyTheVC

Welcome to another episode of The Future of Business. Today, we dive into how artificial intelligence is actively breaking down the barriers of a slow-moving medical system. I am joined by Andy Moye, a former Navy pilot with a PhD in health economics who previously led Page to secure the first-ever FDA approval for AI in cancer pathology. Now serving as the CEO of GlidePath Health, Andy is building AI platforms to untangle the complex logistics behind advanced cell and gene therapies. We discuss the alarming 14-year technology adoption lag in healthcare, the devastating impact of administrative waste, and how AI orchestration will drastically shorten the time it takes for patients to receive life-saving treatments.

Key Takeaways

• Cancer diagnosis still relies heavily on manual pathology methods that have remained fundamentally unchanged since the mid-1800s.

• The healthcare industry suffers from a massive adoption lag, where cutting-edge technology often takes up to 14 years to become standard practice.

• System backlogs have historically forced patients to wait 40 to 50 days just to receive a critical cancer diagnosis.

• Groundbreaking, curative cell and gene therapies like CRISPR and CAR T are severely bottlenecked by manual scheduling processes, spreadsheets, and phone calls.

• GlidePath Health is developing an enterprise AI orchestration platform to fully automate these logistical workflows, ensuring patients are treated faster to improve outcomes.

• Deploying AI in healthcare requires immense trust, rigorous data protection, cybersecurity compliance, and 99.9999% system uptime to ensure patient safety.

Links & Resources

• Guest Website: AndyMoye.com

• Book: From Bunker Hill to the Boardroom: Battle Tested Leadership for Today's Executives by Andy Moye

• Connect with Andy: LinkedIn

In this episode, Jay Dhillon sits down with Floyd Woodrow MBE DCM, a former SAS major and chairman of Quantum Group. Floyd applies elite military strategy to scaling high-growth tech ventures and is a pioneer in AI-driven performance coaching. Together, they explore how leaders can build resilience, attract top-tier talent during technological disruptions, and leverage AI to elevate—rather than replace—human potential.

Key Takeaways

·       Military Transition & Business Resilience: Floyd discusses the entrepreneurial nature of the Special Air Service and why transitioning into business requires ongoing growth, adaptability, and the right coaching.

·       The "Super North Star": Learn about Floyd's framework for finding your ultimate guiding purpose, which aligns values, strategy, and resilience to navigate life and business.

·       AI as an Elite Tool: Floyd explains that AI is far from replacing human intelligence; rather, it is a tool meant to eliminate bureaucratic administration and give leaders back their most precious commodity—time.

·       Data Security & Sovereign AI: A critical look at why heavily regulated industries must protect their data, and the growing global necessity for sovereign AI systems.

·       Redefining Education: Floyd shares his passion for engaging children's curiosity and shifting education away from rigid academic testing toward holistic human development.

Relevant Links & Resources

·       Websites: Explore more at Compass4life.com and Compass4life.co.uk.

·       Connect: Reach out to Floyd Woodrow on LinkedIn.

·       Floyd's Books: Be sure to check out Elite, The Warrior, The Strategist and You, and his children's sci-fi book Jesse Garges: The Compass.

·       Associated Companies: Learn more about Floyd's ventures including Financial Holdings (Volopa, Verve), Valkyrie (cyber security), Forensic Control, Tempus Magazine, Super North Star, and Enlightened.

In this episode of The Future of Business Podcast, Jay Dhillon sits down with veteran AI architect Jitendra Devabhaktuni to solve the biggest bottleneck in enterprise artificial intelligence: data privacy. Jitendra explains how businesses can utilize synthetic data systems to train and test powerful AI models without ever touching a single piece of real customer information.

Key Takeaways:

• Discover why training AI on synthetic data is exactly like using a flight simulator to safely train pilots.

• Learn how the banking industry takes fraud transactions—which make up less than 1% of data—and multiplies them into millions of records to proactively train AI models.

• Understand how synthetic data enables life-saving research on rare cancers when access to real patient data is restricted.

• Find out why the EU AI Act is shifting from a roadblock into an accelerator, pushing enterprises toward synthetic data solutions.

• Hear why the modern AI advantage is no longer about having the most intelligent language model, but having frictionless access to data.

About the Guest: Jitendra Devabhaktuni spent over 20 years managing digital transformations and ERP programs for large enterprises. He is the founder of LagrangeData.ai and the creator of the Synthol suite, which includes Synthol DB, Synthol Dataset, and Synthol Data Shield.

Links & Resources:

• Try the free tier of Synthol (up to 5 data sets): synthhall.ai

• Contact the LagrangeData team: [email protected]

In this episode, we sit down with Marco Landi, the former President and Chief Operating Officer of Apple Computer. Marco shares the inside story of how he turned a $300 million loss into a profit in just 12 months, the strategic decision to bring Steve Jobs back to the company, and his transition into the world of artificial intelligence. We break down exactly why Apple fell behind in the AI race, the future of AI in digital media, and the massive untapped opportunities for founders building AI solutions today.

• The AI Data Goldmine: Small and medium-sized enterprises should focus on building Small Language Models (SLMs) using their own proprietary data rather than relying entirely on large, public LLMs.

• Compliant AI Platforms: There is a massive market gap for AI media platforms and studios built entirely on legally compliant, "agreed" data to protect creators from copyright risks.

• The Future of Digital Media: The democratization of film production means anyone with a great story can compete globally using generative AI tools.

• Connecting the Dots: The decision to acquire NextOS over BeOS not only brought Steve Jobs back but fundamentally changed the trajectory of global technology.

• 00:00 - Welcome Marco Landi to the podcast.

• 02:05 - Turning Apple around: How Marco shifted a $300M loss into a profit.

• 05:35 - The inside story of bringing Steve Jobs back to Apple.

• 10:18 - What it was really like working alongside Steve Jobs.

• 11:38 - Why Apple completely missed the AI revolution.

• 12:00 - What Steve Jobs would have built with AI technology today.

• 14:10 - Transitioning from Texas Instruments to pioneering AI expert systems.

• 17:37 - Launching the World AI Cannes Festival and the World AI Film Festival.

• 20:00 - How traditional business founders must navigate the AI revolution.

• 21:20 - Why protecting your company’s internal data is crucial for AI integration.

• 30:00 - The biggest unchartered business opportunities in the AI sector right now.

• 38:52 - Preparing the next generation for an AI-native world.

• Book: Connecting the Dots by Marco Landi.

• Events: World AI Cannes Festival & World AI Film Festival.

• Connect with Marco Landi: Follow his latest updates and AI initiatives on LinkedIn

Key Takeaways & Business OpportunitiesEpisode TimestampsResources Mentioned

AI Has a Problem And Most Businesses Don’t Understand It

AI is moving faster than most businesses can keep up with.

But according to Giancarlo Erra, the biggest problem with AI isn't necessarily the technology.

It's understanding it.

In this episode of the Future of Business Podcast, Jay Dhillon sits down with Giancarlo Erra Lead AI Consultant at Altaire, technology entrepreneur, AI strategist and technology professional with more than 25 years of experience.

Giancarlo has spent years helping businesses understand and implement emerging technology, and his perspective on AI goes well beyond the usual hype.

We discuss what AI really is, why it can appear intelligent without actually understanding what it's saying, and why businesses need to slow down and understand the technology before rushing to implement it.

• Why AI isn't actually as new as many people think
• What really changed when ChatGPT arrived
• Why generative AI became so transformative
• The biggest problem Giancarlo sees when working with businesses
• Why knowledge and understanding are more important than simply having access to AI
• Why businesses are moving from being afraid of AI to feeling they desperately need it
• Why enthusiasm for AI can actually become a problem
• Why giving employees AI tools isn't enough
• The importance of training your people before implementing AI
• How AI actually works — explained in simple terms
• Why AI can produce convincing but incorrect answers
• Why you should never blindly trust AI
• The importance of context when using AI
• How businesses can get better returns from AI
• Whether AI will replace jobs
• Why AI could have a major impact on young people entering the workforce
• Why education needs to change
• Why soft skills could become the new hard skills
• The importance of critical thinking, communication and reasoning
• Whether we're currently experiencing an AI bubble
• What excites Giancarlo about the future of AI
• What concerns him most about where AI is heading

The AI race isn't simply about who adopts AI first.

It's about who understands it well enough to use it properly.

As Giancarlo explains during the conversation, businesses can move extremely quickly towards AI while the people actually expected to use it haven't caught up.

That gap could become one of the biggest challenges — and opportunities — for businesses over the next few years.

Giancarlo Erra is a technology entrepreneur, AI strategist, public speaker and Lead AI Consultant at Altaire, with more than 25 years of experience in technology.

He has worked with businesses on AI, technology and digital transformation and has delivered AI training to organisations looking to understand how to use the technology effectively.

Website:
https://giancarloerra.co

LinkedIn:
https://www.linkedin.com/in/giancarloerra/

Altaire:
https://altaire.com

Altaire AI Workshops:
https://altaire.com/ai-workshops/

Hosted by Jay Dhillon, the Future of Business Podcast explores AI, entrepreneurship, technology, business and the people shaping what comes next.

🎙️ Listen/watch the full episode now.

#AI #ArtificialIntelligence #FutureOfBusiness #Business #Technology #Entrepreneurship

In this episode:The big takeawayAbout Giancarlo ErraConnect with GiancarloFollow the Future of Business Podcast

Most companies are sleepwalking into AI disasters without realizing it. In this eye-opening episode, tech pioneer David Wood reveals how past failures in the smartphone industry offer crucial lessons for navigating the AI revolution before it’s too late. From Silicon Valley’s missed opportunities to the Boeing disaster, David uncovers the patterns that could predict and prevent the next big catastrophe in AI safety and ethics.

You’ll discover:

• The real reasons why companies like Nokia and BlackBerry missed the AI wave and how they can avoid similar pitfalls today.
• The crucial role of industry transparency, whistleblowing, and government regulation in safeguarding data and preventing system failures.
• Why large tech firms like Apple risk falling behindand how their culture of secrecy hampers progress in AI development.
• The risks of unchecked AI deployment in critical sectors like healthcare, finance, and military, and how we can prepare for a ‘Boeing moment’ in AI safety.
• Practical strategies for small businesses to integrate AI safely and effectively, leveraging domain expertise and reverse mentoring.
• How education, resilience, and collaboration are vital for individuals and organisations to future-proof themselves in this fast-changing landscape.

This episode is essential listening for entrepreneurs, business leaders, policymakers, and anyone serious about mastering AI's power while avoiding its pitfalls. With his unparalleled experience in mobile tech and futurism, David Wood provides a grounded, urgent call to action because the next few years will determine whether AI elevates society or leads us into uncharted risks.Get ready to rethink what’s possible—and what’s life-threatening if we don’t act now. This isn’t just a technological shift; it’s a societal revolution, and your business, your safety, and your future depend on understanding it today. Stay informed, stay prepared.Connect with David Wood and learn more:London Futurists — ⁠LondonFuturists.com⁠

Books & Resources — ⁠DeltaWisdom.com⁠

Podcast — ⁠ https://londonfuturists.buzzsprout.com/

Why 80% of AI Success Has Nothing to Do with Tech

In this episode of the Future of Business Podcast, we sit down with Alex Velinov, Vice President of AI and Technology at MDG and author of the In AI We Trust newsletter. Drawing from a 35-year background that spans audio engineering and enterprise technology, Alex shares why successful AI integration is actually an 80% people challenge and only a 20% technology challenge. Alex engineered the advanced AI systems that fueled Tag Digital’s hyper-growth and ultimate acquisition by Freeman, and he breaks down the practical frameworks, risk-mitigation strategies, and human psychology needed to bulletproof your business in the AI age.
We explore the hidden dangers of "Shadow AI," the step-by-step process of building internal digital employees, how search is shifting toward Large Language Model optimization, and why non-digital trade skills might be the most sustainable business opportunity of the next decade.
Key Takeaways & Business Insights

• The 80/20 Rule of AI: AI technology is simple (binary logic), but human beings are complex. Overcoming workplace habits, fear, and friction accounts for 80% of an AI project's success or failure.
  
• The Danger of Shadow AI: Banning AI tools inside an enterprise does not stop employees from using them; it forces them to use personal accounts, leading to severe confidential and proprietary data leaks.
  
• Building an Internal AI Employee: Learn how Tag Digital built "Apollo," a 24/7 internal AI agent integrated into Slack, trained on company SOPs and HR data to eliminate repetitive internal questions.
  
• The "Bring Your Own AI" Future: Job candidate assessments are shifting from traditional credentials to candidates presenting the custom AI systems and agents they have personally built to solve problems.
  
• LLM Optimization (The New SEO): Driving organic visibility now requires structuring your website data with schema markup, publishing clear answer-based FAQs, and building brand authority across platforms like LinkedIn.
  
• Transparency Over Deception: When using AI-generated avatars or digital brand ambassadors, absolute transparency builds trust, whereas trying to trick audiences into thinking an avatar is human causes friction.
  

• 00:22 - Introduction to Alex Velinov and his background bridging audio engineering and enterprise AI.
  
• 01:57 - How a 35-year background in music shapes a human-centric approach to tech.
  
• 07:09 - The 80/20 Rule: Why human psychology is the hardest part of AI adoption.
  
• 08:35 - Two paths for workers in the AI age and the rise of "Bring Your Own AI".
  
• 11:42 - What "Shadow AI" is and why banning AI tools causes catastrophic data leaks.
  
• 17:56 - Scaling Tag Digital: Combining automation and LLMs to increase client volume without inflating headcount.
  
• 20:42 - The blueprint for building "Apollo," a 24/7 internal AI employee inside Slack.
  
• 29:33 - AI Avatars & Digital Influencers: Why transparency beats deception in marketing.
  
• 33:03 - The VECTR Framework: A practical method to audit, deconstruct, and AI-enable B2B workflows.
  
• 34:18 - Advice for small businesses: Securing your core data blueprint from day one.
  
• 44:42 - Optimizing for Large Language Models: How search and SEO are changing.
  
• 48:39 - Alex’s go-to AI tools: Claude, ElevenLabs, Midjourney, and workspace integrations.
  
• 57:39 - The contrarian view: Why non-digital trade businesses are a massive opportunity.
  

• Weekly Newsletter: Subscribe to Alex's newsletter, In AI We Trust, at inaiwetrust.com.
  
• LinkedIn: Connect with Alex Velinov directly on LinkedIn.

In this episode of The Future of Business Podcast, host Jay Dhillon sits down with Anuscha Iqbal, co-founder of Qanooni AI.

After co-founding and successfully exiting her fintech business to Zip in a $20M deal, Anuscha set her sights on legal tech, one of the most risk-averse, highly regulated industries in the world. Today, Qanooni AI empowers law firms across 11 countries by embedding AI directly into Microsoft Word and Outlook while guaranteeing strict zero-retention data security.

What you will learn in this episode:

🔹 The $20M Exit & Pivoting to AI: Moving from a 100 person fintech business to building a hyper-lean AI startup.

🔹 Overcoming Enterprise Security Roadblocks: How Qanooni AI earned the trust of corporate lawyers using stateless models that protect client data.

🔹 Eliminating AI Hallucinations: Why grounding AI models in authoritative, citation-backed databases is essential for high-stakes decisions.

🔹 The 12-Person Scaling Advantage: How small, AI-first teams are outperforming traditional enterprise tech workforces.

🔹 Future-Proofing White-Collar Jobs: Critical skills the next generation needs to succeed in an AI-driven workforce.

If you are a business founder, executive navigating enterprise AI adoption, or interested in the future of work, this conversation delivers actionable insights from the frontlines of tech innovation.

🌐 Company Website: Qanooni AI

💼 Connect with Anuscha Iqbal: Anuscha Iqbal on LinkedIn

🎙️ Hosted by: Jay Dhillon

📲 Subscribe & Review: If you enjoyed this episode, please leave a 5-star rating on Spotify!

🔗 Connect & Links

Title: The Future of AI, AR, and Business Innovation with ArmenDiscover how Armen’s pioneering work in augmented reality (AR), artificial intelligence (AI), and immersive content is transforming industries and reshaping business strategies. From organic growth to innovative use cases, learn how technology can democratise creation and unlock new revenue streams. In this episode:

• Armen shares the story of building an ecosystem of 11 million users organically starting in 2014 without external funding.

• The role of COVID-19 as a catalyst for exponential growth in AR and AI applications in education and enterprise.
• Predictions on the future of AR glasses replacing smartphones, powered by AI for seamless digital-physical integration.
• How AI democratizes complex content creation, enabling non-technical users to innovate.
• Real-world case studies: Coca-Cola AR campaigns, real estate virtual tours, and interactive museum and education experiences.
• Strategies for startups: Building value first, and avoiding risky venture funding based on hype.
• The potential impact of AI and robotics on future jobs—new roles in maintenance, human connection, and post-human experiences.
• Practical advice for business owners: Using AR/AI for marketing, enhancing customer experience, and operational efficiency.
• Addressing common misconceptions about adoption hurdles and the mass technology shift to smart glasses.

• Arlupa Official Website
• Arlupa YouTube Channel with tutorials and case studies
• Google Scholar articles on AR in education
• Coca-Cola AR Campaign Case
• Kenzo AR Activation
• Google I/O AR glasses announcement
• Meta Ray-Ban Smart Glasses
• AI tools for content creation

• LinkedIn
• Twitter

• The conversation emphasizes the importance of creating memorable, engaging customer experiences through AR and AI.
• Advocates for a long-term, sustainable approach to innovation and startup growth, avoiding hype-driven fundraising.
• Encourages embracing the democratization of content creation

Timestamps:00:00 - Armen’s journey to 11 million organic users since 2014
01:16 - The impact of COVID-19 on AR adoption and growth in education
03:30 - How COVID accelerated global AR and AI adoption in classrooms and businesses
04:45 - Armen's vision for AR glasses replacing smartphones and accompanying AI enhancements
06:05 - The development of digital content blending with physical environments via AR and AI
07:43 - The role of glasses for instant information, business applications, and efficiency gains
08:34 - Google's new AR glasses and the strategic focus on developer ecosystems
11:24 - Non-technical content creation with AI-powered tools and studio platforms
12:34 - Case studies: How brands like Coca-Cola, Kenzo, and real estate leverage AR for ROI
16:35 - Interactive experiences in tourism, real estate, and retail via AR
18:11 - Opportunities for business owners to innovate with AR and AI at low tech barriers
19:48 - Using AR for educational and entertainment purposes, increasing engagement and retention
22:16 - Startups: Focus on building valuable products rather than fundraising hype
23:52 - The AI bubble: Warning signs, market realities, and the importance of fundamentals
26:33 - The future job landscape: Maintenance, human connection, and post-human experiences
30:48 - Enhancing daily life and business operational efficiency with AR and AI
34:46 - The importance of mastering fundamental skills alongside AI tools
38:06 - The transformative potential for education, health, and personalized experiences
41:15 - Practical advice for business owners to differentiate through memorable experiences
44:24 - AI and the future of work: Embracing new roles and societal shifts
47:21 - Armen’s five-year outlook on jobs and societal changes driven by AI and robotics