Future Tech And Foresight

Hosted by Marc Verbenkov

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242

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Aug 2026

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About the show

Emerging and future technologies and the trends that they are linked to will be covered on this podcast. From the more obvious tech like: AI, Robotics, Autonomous Vehicles, and The Metaverse. To less well known disruptors like: Brain-Machine Interfaces, CBDC’s, Internet of Bodies, Smart Dust, Animal Human Chimeras, 4D Printing, Under The Skin Surveillance, Bio Computers and much more. A vision of what the future may hold will be painted to alleviate some of our collective Future Shock so we can make better decisions for tomorrow. Website: https://futuretechandforesight.com/

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August 19, 2026Episode 24350 min

Why AI Will Kill Traditional Sales (With Len Ward of Commexis) - Ep #243

Marc and Len explore how the rise of agent-to-agent interactions is destroying traditional marketing, breaking down why building a centralized "company brain" is the only way to survive. About the Episode The way customers buy is fundamentally changing, moving rapidly from a "search and retrieve" world to a demand for instant problem-solving. Very soon, traditional marketing funnels will be entirely replaced by AI agents talking to other AI agents to make purchasing decisions. This means buyers will arrive at the checkout highly educated and self-directed, completely bypassing the massive sales teams companies rely on today. Businesses that cannot provide immediate, accurate answers will simply lose to smaller, faster competitors who can. To survive this massive shift, organizations must stop dragging their feet and start building what is known as a centralized company brain. This requires digging into messy, unstructured data and digitizing every piece of business information so an AI can actually access and understand it. The runway to adapt is much shorter than previous digital revolutions, meaning the window to act is closing right now. Leaders who prioritize cleaning up their data today will position their companies to dominate in a world where speed and instant answers win. About the Guest Len Ward is the founder and CEO of Commexis, an AI consulting and product development firm focused on helping businesses eliminate bottlenecks and scale through automation. He began his career as a stockbroker at Morgan Stanley and later became VP of Institutional Equity Sales and Trading at Credit Suisse, where he developed a strong ability to anticipate market trends. He brought that forward-looking mindset to Commexis, guiding its evolution from print to digital, social, and now AI-driven solutions. Today, Len works with B2B service companies to design and implement AI systems across marketing, sales, and customer service, with an emphasis on practical, results-driven solutions. Outside of work, he is active in the numismatic community and supports the cystic fibrosis community, a cause that is personal to him. Website: ⁠https://commexis.com/⁠ LinkedIn: ⁠https://www.linkedin.com/in/lenward/⁠ Timestamps: 00:01:15 - Episode Commences 00:03:16 - AI Journey in Digital Agency 00:05:54 - AI Transition Without Job Losses 00:10:00 - AI Implementation Business Transformation 00:13:28 - AI Adoption Timeline Urgency 00:15:43 - AI-Driven Entrepreneurship Future 00:19:06 - AI Agents Impact on Sales 00:22:32 - AI's Impact on Sales Transformation 00:26:41 - AI and Data-Driven Marketing Evolution 00:49:09 - Episode Concludes Additional Notes: For more check out the website: ⁠⁠https://futuretechandforesight.com/⁠⁠ Or connect with me on –Twitter: ⁠⁠https://twitter.com/FutureTech_Pod⁠⁠ Linkedin: ⁠https://www.linkedin.com/company/futuretechandforesight/

August 12, 2026Episode 24249 min

Turning Messy Data Into AI Gold (With Ilan Man of Paradox Machines.) - Ep #242

Marc and Ilan explore how the rise of AI is finally unlocking the true value of business data, breaking down why mid-market companies are perfectly positioned to outmaneuver larger enterprises through agile pilot projects and smart data governance. About the Episode The era of big data left many companies with expensive infrastructure and little return on investment, but artificial intelligence is changing the equation entirely. Today, unstructured documents can be instantly transformed into actionable insights, and chatting directly with consolidated business systems is becoming an accessible standard. For mid-market companies, the barriers to entry have fallen drastically. By prioritizing agile pilot projects over massive, rigid structural overhauls, businesses can now rapidly implement AI solutions to automate tedious workflows, accelerate development cycles, and unlock a 360-degree view of their operations without breaking the bank. However, successful integration goes far beyond simply buying the latest software, it requires a fundamental commitment to data governance and accountability. Understanding what data exists, who owns it, and how it is organized is the critical first step before any meaningful automation can occur. As the workforce evolves alongside these powerful tools, leaders must look past the hype and fear to make informed, strategic decisions. By establishing a solid data foundation today, companies can ensure they are not just reacting to technological trends, but actively architecting their competitive future. About the Guest Ilan Man, Founder and CEO of Paradox Machines, started his career in statistics and actuarial work before diving into the world of AI. Today, he watches companies rush to adopt artificial intelligence, only to hit a wall when their ambitions outpace their actual execution. He points out a simple but hard truth: most businesses aren't struggling with an AI problem, they are dealing with a massive data problem. To fix this, he helps mid-market organizations clean up their messy infrastructure so they can build a genuine competitive advantage. Because he actively builds these modern data solutions, Ilan knows exactly why some AI projects succeed while others completely flop. He pushes leaders to stop chasing the latest automation hype and instead focus on setting up rock-solid data platforms for the long haul. It's about building the right foundation today so companies aren't caught off guard tomorrow. Through his work at Paradox Machines, Ilan continues to show executives how to actively prepare for the next decade of technology instead of just reacting to it. Linkedin: https://www.linkedin.com/in/ilanman/ Website: https://www.paradoxmachines.com/ Additional Notes: For more check out the website: ⁠⁠ https://futuretechandforesight.com/ ⁠⁠ Or connect with me on – Twitter: ⁠⁠ https://twitter.com/FutureTech_Pod ⁠⁠ Linkedin: ⁠⁠ https://www.linkedin.com/company/futuretechandforesight/

August 4, 2026Episode 24156 min

Securing AI in the Enterprise (With Mazy Dar of Here.io) - Ep #241

Marc and Mazy explore the hidden dangers of "shadow AI" in regulated environments and how a dedicated enterprise AI browser can solve the massive productivity drain of app fragmentation. About the Episode As organizations rush to adopt artificial intelligence, a critical bottleneck has emerged: the very tools we use to access the internet were never designed for mission-critical AI applications. While large enterprises are actively rolling out solutions like Microsoft Copilot, many are encountering significant challenges with security, compliance, and widespread "shadow AI," where employees bypass authorized systems to use consumer-grade tools. This disjointed approach is not only creating massive data leak vulnerabilities but also contributing to severe productivity losses through extreme tab overload and app fragmentation, with users switching between hundreds of tabs daily. The solution lies in reimagining the enterprise workspace itself. By transitioning to a dedicated AI browser, organizations can bring authorized artificial intelligence directly into a unified environment. This allows the AI to securely see user context and take appropriate actions across multiple applications without violating compliance protocols or getting locked into a single vendor ecosystem. The conversation dives deep into the realities of implementing these powerful technologies in highly regulated industries like finance and national security. Listeners will gain crucial insights into how rethinking the primary control plane for work will seamlessly integrate AI into existing workflows, ultimately bridging the gap between current ROI disappointments and the true potential of automated enterprise productivity. About the Guest Mazy Dar is the CEO of HERE.io and a technology veteran whose experience dates back to the dot-com boom, where he first recognized the limitations of standard web browsers for mission-critical applications. He is currently focused on building an enterprise AI browser specifically designed to address the complex challenges of AI integration in highly regulated environments. Through his work, Mazy continues to explore how rethinking the web browser can safely and effectively bring AI into the modern enterprise without compromising compliance. Linkedin: https://www.linkedin.com/in/mazydar/ Website: https://www.here.io/ Timestamps: 00:01:13 - Episode Commences 00:03:24 - Tech Evolution and AI Challenges 00:06:32 - Current AI Implementation Challenges 00:10:34 - AI ROI Challenges Discussion 00:15:18 - AI Productivity in Engineering Teams 00:20:55 - AI Human Collaboration in Enterprise 00:25:26 - Enterprise AI Browser Development 00:28:51 - Enterprise Browser Productivity Challenges 00:34:04 - AI Integration in Workplace Productivity 00:49:48 - Episode Concludes Additional Notes: For more check out the website: ⁠⁠ https://futuretechandforesight.com/ ⁠⁠ Or connect with me on – Twitter: ⁠⁠ https://twitter.com/FutureTech_Pod ⁠⁠ Linkedin: ⁠⁠ https://www.linkedin.com/company/futuretechandforesight/

July 29, 2026Episode 24051 min

The Open-Source AI Revolution (With Eugene Cheah of Featherless AI) - Ep #240

Marc and Eugene explore how the rapid evolution of open-source AI models is creating highly specialized, cost-effective alternatives to closed-source systems for enterprise businesses. About the Episode As artificial intelligence integrates deeper into the enterprise ecosystem, a massive shift is occurring away from centralized, closed-source models toward accessible open-source alternatives. While proprietary systems have historically dominated the market, the performance gap is shrinking rapidly. Open-source solutions now offer drop-in replacements that are up to five times more cost-effective, allowing businesses to run highly specialized AI without relying on massive, expensive infrastructure. This transition is crucial because it fundamentally changes how organizations deploy AI. Instead of relying on a single, generalized model with built-in biases, businesses can now leverage platforms hosting tens of thousands of unique models, essentially acting as an operating system for AI workloads. From language-specific adaptations for global markets to hyper-specialized models for robotics, coding, and construction safety, these accessible tools eliminate the need for extensive developer expertise or complex GPU clusters. The conversation unpacks the strategic advantages of moving from expensive, generalized AI to affordable, tailored models. Listeners will discover how to leverage these decentralized tools to enhance productivity, maintain data control, and build custom solutions that will drive competitive advantage in the rapidly evolving digital landscape. About the Guest Eugene Cheah is the CEO of Featherless AI, a company operating the world's largest AI model platform, currently hosting over 30,000 models with plans to scale into the millions. His journey into artificial intelligence began unexpectedly through a university hackathon project called GPU.js, which inadvertently became the backbone for running AI in web browsers for nearly six years. Today, his work focuses on simplifying AI deployment by offering serverless inference services that remove the complex technical barriers of running advanced models. Linkedin: https://www.linkedin.com/in/eugene-cheah-a47791126/ Website: https://featherless.ai/ Timestamps: 00:01:03 - Episode Commences 00:03:07 - Eugene's AI Journey and Models 00:08:45 - Open-Source AI Models Discussion 00:18:29 - AI Model Deployment Trends 00:24:22 - Federalist AI Platform Expansion 00:26:46 - Efficient AI Model Fine-Tuning 00:30:15 - AI Model Customization Timeline 00:34:08 - Commercial vs Open-Source API Prices 00:36:34 - Open Source AI Model Adaptations 00:49:48 - Episode Concludes Additional Notes: For more check out the website: ⁠⁠ https://futuretechandforesight.com/ ⁠⁠ Or connect with me on – Twitter: ⁠⁠ https://twitter.com/FutureTech_Pod ⁠⁠ Linkedin: ⁠⁠ https://www.linkedin.com/company/futuretechandforesight/

July 21, 2026Episode 23940 min

The AI Factory Revolution (With Renan Devillieres of OSS Ventures) - Ep 239

Marc and Renan explore how AI and software are completely rewiring global manufacturing, replacing outdated processes with automated systems that radically increase factory efficiency and profitability. About the Episode For the last two decades, global manufacturing relied heavily on offshoring and manual labor to cut costs, but a new era of industrialization is taking over. Today, the most successful facilities are treating physical products like technology products. Instead of hiring more floor workers, cutting-edge factories are leveraging sensors, intelligent software, and artificial intelligence to monitor operations in real-time, bringing unprecedented efficiency and massive profit margins to a traditionally slow-moving sector. As geopolitical tensions and supply chain disruptions force a massive wave of reshoring, the race to build smarter, sovereign manufacturing capabilities is accelerating. Currently, only a small fraction of factories utilize AI to achieve industry-leading margins, but that number is expected to explode over the next decade. From generative design that optimizes material cutting to venture-backed platforms streamlining product development, automation is transforming everything from the factory floor to back-office planning.Looking forward, this software-first approach to industrialization isn't just about building faster—it's about fundamentally reshaping global economies and preparing for the next frontier. As factories become highly connected tech ecosystems, navigating cybersecurity risks and hybrid engineering will be essential. Ultimately, the transition to intelligent manufacturing lays the groundwork for sci-fi-level innovations, opening the door for future endeavors like space manufacturing and asteroid mining. About the Guest Renan Devillieres is a former mathematics and computer science PhD student turned industrial innovator, operator, and investor. After starting his career at McKinsey & Company and gaining hands-on experience in complex factory operations, he recognized a massive gap between legacy manufacturing and modern software capabilities. Today, he is the Founder and CEO of OSS Ventures, a specialized venture builder that launches and scales tech companies designed to automate and optimize factory operations worldwide. His portfolio of startups currently serves thousands of factories, driving a new standard for industrial efficiency. Through his work, Renan continues to accelerate the adoption of artificial intelligence in manufacturing, helping legacy industries evolve into highly profitable, software-driven powerhouses. Linkedin: https://www.linkedin.com/in/renan-devillieres/ Website: https://www.oss.ventures/ Timestamps: 00:00:55 - Episode Commences 00:03:02 - Manufacturing Evolution and Reshoring Trends 00:08:30 - Manufacturing Evolution and Technology Integration 00:12:41 - Software-Enabled Manufacturing Processes 00:15:27 - Hybrid Engineering Skills in Manufacturing 00:18:22 - Manufacturing Venture Building Business Model 00:22:15 - Manufacturing Automation Process Streamlining 00:24:39 - AI-Driven Manufacturing Design Recommendations 00:26:30 - AI Adoption in Manufacturing 00:30:29 - Global Manufacturing Transformation Opportunities 00:33:20 - Space Manufacturing and Technology Trends 00:35:07 - Asteroid Mining Future Discussion 00:38:21 - Episode Concludes Additional Notes: For more check out the website: ⁠⁠ https://futuretechandforesight.com/ ⁠⁠ Or connect with me on – Twitter: ⁠⁠ https://twitter.com/FutureTech_Pod ⁠⁠ Linkedin: ⁠⁠ https://www.linkedin.com/company/futuretechandforesight/

July 14, 2026Episode 23851 min

The Rise of Smart Glasses and Hyper-Reality (With Cortney Harding of Friends With Holograms) - Ep #238

Marc and Cortney explore the evolution of AR and VR technology, discussing how all-day smart glasses and immersive training are shaping our physical reality despite recent industry shifts toward AI. About the Episode While artificial intelligence has captured the world's funding and attention, the immersive technology sector has been quietly revolutionizing how we interact with the physical world. From all-day wearable smart glasses to high-stakes workplace training, the focus is shifting away from clunky headsets and toward a seamless digital layer that enhances our daily reality. Emerging use cases like real-time translation, accessible heads-up directions, and soft-skills development are proving that spatial computing is far from dead—it is simply maturing. As we look toward the future, the integration of AI and spatial data promises to unlock the "industrial metaverse," paving the way for physical AI models that can transform everything from robotics to urban planning. However, this level of constant connectivity brings significant challenges regarding data privacy and user consent. If we are not careful about how we design contextual notifications and manage facial recognition, we risk falling into an intrusive "hyper-reality" that distracts rather than empowers. Ultimately, the overhyped promises of completely replacing human workers are beginning to fade, making room for more practical, human-centric applications. By prioritizing comfortable form factors and sensible design principles, the next generation of wearable tech aims to augment human capabilities, keeping us grounded in the real world while giving us the tools to navigate it better. About the Guest Cortney Harding is a seasoned immersive technology expert and strategist who transitioned from music journalism at Billboard to the cutting edge of spatial computing. After discovering her passion for virtual reality in 2016, she has spent years shaping the AR and VR landscape by developing impactful workplace training and immersive experiences. She actively navigates the convergence of spatial data and AI, advocating for ethical design principles that prevent intrusive technology. Through her work, Cortney continues to push the boundaries of how immersive technology can safely and effectively enhance our physical world. Linkedin: https://www.linkedin.com/in/cortneyharding/ Website: https://www.friendswithholograms.com/ Timestamps: 00:01:18 - Episode Commences 00:04:02 - Courtney's AR/VR Industry Journey 00:07:10 - Metaverse and VR Technology Challenges 00:09:44 - VR Glasses Evolution Discussion 00:14:54 - Glasses-Based App Ecosystem Growth 00:19:35 - Smart Glasses Interaction Methods 00:22:26 - VR Training Program Development 00:28:10 - VR and AR Applications Discussion 00:32:28 - Smart Glasses and Urban Planning 00:45:41 - Episode Concludes Additional Notes: For more check out the website: ⁠⁠ https://futuretechandforesight.com/ ⁠⁠ Or connect with me on – Twitter: ⁠⁠ https://twitter.com/FutureTech_Pod ⁠⁠ Linkedin: ⁠⁠ https://www.linkedin.com/company/futuretechandforesight/

July 7, 2026Episode 23747 min

Diagnosing Disease in Minutes With AI (With Loren Larsen of Videra Health) - Ep #237

Marc and Loren explore how AI is transforming behavioral health and medical diagnoses, discussing its potential to reduce diagnosis times from years to just minutes while combating clinician burnout. About the Episode Many critical medical conditions, such as tardive dyskinesia and postpartum depression, often go undiagnosed for years due to the constraints of the traditional 15-minute clinical visit. AI-powered video assessments are now stepping in to bridge this gap, observing and diagnosing nuanced patient behaviors in just minutes. By leveraging advanced inference and specialized AI models outside of standard doctor visits, the medical industry can radically accelerate the time it takes for patients to receive the correct care and treatment. While the healthcare industry is notoriously slow to adopt new technology, the overwhelming burden of administrative work is forcing a change. With nearly half of behavioral health clinicians now utilizing AI note-takers, the technology is rapidly evolving from simple transcription into interactive clinical companions. These systems integrate complex medical histories, diagnostic codes, and billing, allowing providers to escape their paperwork and spend more time focusing on actual human connection and patient care. Ultimately, the future of medicine isn't about replacing doctors—it's about empowering them with systems that prevent misdiagnoses and personalize treatments. As continuous "healthcare companions" become a reality, we face profound questions about the psychological impacts of relying on artificial intelligence for medical support, and whether the massive benefits of instant health insights outweigh the risks of tech dependency. About the Guest Loren Larsen is the Co-Founder and CEO of Videra Health, a pioneering AI-driven mental health assessment platform. Previously, he spent nearly a decade as the CTO of HireVue, where he developed advanced AI-powered video interview systems. Recognizing the massive potential for video and AI to transform patient care, he transitioned to the medical industry to focus on the ethical use of artificial intelligence in healthcare. He now works to democratize access to quality behavioral healthcare by building tools that amplify clinician capabilities and accelerate early disease detection. Through his work, Loren continues to explore how AI can serve as a powerful healthcare companion to improve patient outcomes and alleviate the ongoing crisis of provider burnout. Linkedin: https://www.linkedin.com/in/loren-larsen/ Website: https://viderahealth.com/ Timestamps: 00:01:08 - Episode Commences 00:03:02 - AI in Healthcare Applications 00:06:07 - AI Patient Assessment Tool Overview 00:09:23 - AI Diagnosis for Undetected Conditions 00:12:14 - AI in Medical Diagnosis 00:15:52 - AI in Medical Diagnosis Discussions 00:18:21 - Healthcare Efficiency and AI Integration 00:21:04 - Healthcare Technology Adoption Trends 00:24:29 - AI in Healthcare Integration 00:28:32 - Healthcare Data Sharing Challenges 00:31:31 - AI in Healthcare Applications 00:45:41 - Episode Concludes Additional Notes: For more check out the website: ⁠⁠ https://futuretechandforesight.com/ ⁠⁠ Or connect with me on – Twitter: ⁠⁠ https://twitter.com/FutureTech_Pod ⁠⁠ Linkedin: ⁠⁠ https://www.linkedin.com/company/futuretechandforesight/

June 30, 2026Episode 23650 min

The Evolution of Cybercrime in the AI Age (With Jeremy Snyder) - Ep #236

Marc and Jeremy explore the 30-year evolution of cybersecurity, discussing how AI is democratizing hacking and what small businesses must do to protect their digital infrastructure. About the Episode Over the past three decades, the cybersecurity landscape has transformed drastically from simple virus nuisances to highly sophisticated, billion-dollar criminal enterprises. Today, artificial intelligence has fundamentally altered the threat environment by democratizing hacking and drastically lowering the barrier to entry for cybercriminals. Attackers now operate like digital unicorns, leveraging AI to deploy automated phishing campaigns, negotiate ransoms with flawless language generation, and scale their operations far faster than traditional defenses can manage. This rapid escalation highlights exactly why small and medium-sized businesses are more vulnerable than ever. A single compromised email from an external partner can quickly lead to devastating financial losses, demonstrating that legacy protections like SMS-based two-factor authentication are no longer sufficient. To truly secure modern infrastructure, organizations must move toward hardware-based access controls, continuous system patching, and comprehensive AI observability platforms that monitor automated interactions and agents across the entire network. While the sheer volume and sophistication of these AI-driven threats are expected to worsen in the near term, there is a clear path forward. By adopting secure-by-design tools and establishing relentless patching routines, businesses can begin to stem the tide. Ultimately, mastering how to safely secure our AI integrations today will determine our resilience in the complex, automated digital economy of tomorrow. About the Guest Jeremy is the Founder and CEO of FireTail.io, and thrives on interesting challenges in the cloud, cybersecurity, data and robotics domain spaces, with the potential to have a positive impact. He tends to go towards entrepreneurial environments where people are highly motivated moving at a fast pace, and where he can contribute more to their success. Snyder's specialties are cloud, cloud security, cybersecurity, M&A, international business, business development, strategy and operations. He is fluent in 5 languages and has a strong ability to analyze new industries rapidly, recognize key patterns, and design business models. That has allowed him to help rapidly-growing companies go after new markets. This knowledgeable guest is making a lot of noise in the digital security sector, and will inspire CISOs, VP engineers, DevSecOps leaders, IT directors, cloud architects, and investors among your audience. Book him now to connect with Jeremy and continue educating listeners on different, effective approaches to API security. Linkedin: https://www.linkedin.com/in/jeremysnyder Website: https://www.firetail.ai/ Timestamps: 00:01:20 - Episode Commences 00:03:33 - Cybersecurity Career Journey Discussion 00:09:50 - Cybersecurity Evolution Over 25 Years 00:12:47 - AI-Driven Cyber Criminal Evolution 00:18:23 - Ransom Negotiation and Cyber Security 00:22:15 - Two-Factor Authentication and Security Practices 00:31:47 - AI Adoption and Security Challenges 00:48:46 - Episode Concludes Additional Notes: For more check out the website: ⁠⁠https://futuretechandforesight.com/⁠⁠ Or connect with me on – Twitter: ⁠⁠https://twitter.com/FutureTech_Pod⁠⁠ Linkedin: ⁠⁠https://www.linkedin.com/company/futuretechandforesight/

June 23, 2026Episode 23543 min

The Rise of Small Language Models in Enterprise AI (With Calvin Cooper of Neurometric AI) - Ep #235

Marc and Cooper explore how enterprises are breaking free from big-tech vendor lock-in by using task-specific small language models to slash costs and boost accuracy. About the Episode The corporate AI landscape is shifting away from single-vendor dependence on tech giants. While mainstream narratives remain obsessed with massive general-purpose models, scaling enterprises are hitting walls with soaring token costs and security risks. This episode explores how forward-thinking organizations are adopting specialized, task-specific Small Language Models (SLMs) and model ensembles to achieve redundancy and absolute cost control. We unpack the impressive economics of AI inference, showcasing real-world case studies where businesses cut monthly compute bills from tens of thousands of dollars to just a few hundred. Far from losing capability, these fine-tuned architectures actually drive task accuracy up from 75% to over 95% compared to legacy setups, proving that smaller models can dramatically outperform generalized LLMs for specific business applications. Looking ahead, we discuss how AI agents will eventually mature into ubiquitous, invisible infrastructure—much like the internet or modern operating systems. From evolving job descriptions to the rising energy demands of data centers, this conversation maps out how to strategically position your operations for a decentralized, multi-provider AI future. About the Guest Calvin is the Co-Founder and COO of Neurometric AI, a pioneering company that helps organizations improve performance and cost efficiency by intelligently orchestrating inference-time compute for multi-model AI systems. Beyond his work at Neurometric, Calvin leads AI automation strategy across the industrial and infrastructure sectors as an Advisor to Pilot Wave Holdings. He also serves as an Advisor at the Milken Institute, conducting research on capital markets and private capital formation policy. Previously, he co-founded and served as CEO of Rhove, a fintech company that democratized real estate investing and went public via a NASDAQ direct listing. His work has been featured by the White House, Fast Company, and he co-hosts the podcast Inference Time Tactics. Through his work, Calvin continues to explore how intelligence, capital, and policy intersect to shape the next era of innovation. Linkedin: https://www.linkedin.com/in/coopernyc Website: https://www.neurometric.ai/ Timestamps 00:01:12 - Episode Commences 00:03:14 - Cooper's AI and Fintech Journey 00:06:58 -Small Language Model Inference Discussion 00:10:35 - AI Market Evolution Discussion 00:14:59 - AI Vendor Dependency Risks 00:18:40 - Small Language Models Implementation Update 00:23:08 - Large Language Model Market Trends 00:29:09 - AI Evolution and Applications 00:33:56 - AI Integration in Business Operations 00:37:03 - AI and Robotics Transformation Discussion 00:49:10 - Episode Concludes Additional Notes: For more check out the website: ⁠⁠https://futuretechandforesight.com/⁠⁠ Or connect with me on – Twitter: ⁠⁠https://twitter.com/FutureTech_Pod⁠⁠ Linkedin: ⁠⁠https://www.linkedin.com/company/futuretechandforesight/

June 16, 2026Episode 23450 min

The Freedom First Business Mindset (With Steve Rolle) - Ep #234

Marc and Steve explore the reality of entrepreneurship, discussing why mastering human systems and the "Freedom First" mindset must happen before you can successfully automate with AI. About the Episode The journey from a traditional 9-to-5 job to running a successful enterprise requires a profound mindset shift and a rejection of the "shiny new object syndrome." True security doesn't come from a day job, but from building a business with reliable margins, solid distribution channels, and profitable customer acquisition. Yet, the execution phase is where most entrepreneurs struggle, often jumping straight to advanced tools to try and solve foundational problems. This conversation breaks down the concept of building a "Freedom First" business, emphasizing that strong, human-driven standard operating procedures must be established before introducing artificial intelligence. While it is tempting to use AI agents to skip the hard work of scaling, businesses must first rely on proven methods, effective delegation, and learning through failure. Only after establishing a solid foundation and a capable team can automation truly enhance human capabilities rather than create more chaos. Looking ahead, the most resilient companies won't be those that adopt AI the fastest, but those that integrate it into well-oiled systems where humans still make the critical decisions. Listeners will walk away with a clear blueprint for taking control of their future, delegating the tasks they despise, and building an enterprise that can thrive independently for decades. About the Guest Steve Rolle is an investor, entrepreneur, and host of the Rolle With Steve Podcast . Rising from a low-income childhood in Washington D.C. to serving as a U.S. Army engineer, he began building side businesses while working full-time. Over the past two decades, Steve has launched and scaled multiple companies, generating over $100 million in combined sales across e-commerce, manufacturing, and distribution. As an expert in delegation and operational design, he specializes in building self-sustaining systems that allow businesses to thrive without the founder's day-to-day involvement. Through his upcoming book, The Future You Choose , his speaking, and his writing, Steve shares practical, battle-tested lessons on overcoming failure, spotting overlooked industries, and designing businesses that deliver true financial and time freedom. Linkedin: https://www.linkedin.com/in/steverolle/ Website: https://steverolle.com/ Timestamps: 00:01:18 - Episode Commences 00:03:34 - Entrepreneurial Journey Interview Discussion 00:07:12 -Business Security and Entrepreneurship Strategy 00:12:17 - Business Success and Scalability Systems 00:19;10 - Entrepreneur Delegation and Business Growth 00:21:01 - Business Growth and AI Implementation 00:27:14 - AI Implementation Best Practices 00:29:41 - Building Business Foundations with AI 00:49:10 - Episode Concludes Additional Notes: For more check out the website: ⁠⁠https://futuretechandforesight.com/⁠⁠ Or connect with me on – Twitter: ⁠⁠https://twitter.com/FutureTech_Pod⁠⁠ Linkedin: ⁠⁠https://www.linkedin.com/company/futuretechandforesight/