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The AI race has just become much more interesting. Google Gemini 4 Argon, Anthropic Claude Opus 5.5 and OpenAI’s GPT 6 family represent the latest generation of frontier AI models. But if you’re making technology decisions for a business, there’s a problem with simply asking which one is the most intelligent. Businesses don’t buy benchmark scores. They buy outcomes. In this episode of the Inspiring Tech Leaders podcast, I compare these three AI platforms from a business perspective rather than disappearing into the technical jargon. I look at where Gemini 4 Argon could fit into Google’s wider enterprise ecosystem, why Claude Opus 5.5’s combination of capability and efficiency is significant, and how OpenAI’s GPT 6 Astra and GPT 6.1 Sol are creating a choice between maximum capability and more economical AI at scale. There is also a much bigger shift happening. These systems are increasingly moving beyond simply answering questions and generating content. They are being designed to undertake longer, more complex pieces of work, interact with business systems and potentially complete entire workflows. That changes the conversation. The question is no longer simply, which AI model is smartest? It’s which AI can deliver the most value for your organisation. That means looking beyond benchmarks towards the things that actually matter in business: productivity, integration, reliability, governance, security, human oversight and the total cost of completing a task. And as the performance gap between frontier models becomes increasingly difficult to separate, those factors could ultimately become far more important than who happens to be at the top of a benchmark this week. In this episode, I explore what technology leaders should be considering before choosing between Google, Anthropic and OpenAI. If you were choosing an AI platform for your organisation today, what would matter most: capability, cost, integration, governance, or something else? Available on: Apple Podcasts | Spotify | YouTube | All major podcast platforms Send me a message Start building your thought leadership portfolio today with INSPO.  Wherever you are in your professional journey, whether you're just starting out or well established, you have knowledge, experience, and perspectives worth sharing. Showcase your thinking, connect through ideas, and make your voice part of something bigger at INSPO - https://www.inspo.expert/ Support the show I’m truly honoured that the Inspiring Tech Leaders podcast is now reaching listeners in over 125 countries and 1,900+ cities worldwide. Thank you for your continued support!  If you’d enjoyed the podcast, please leave a review and subscribe to ensure you're notified about future episodes. For further information visit -  https://priceroberts.com/Podcast/ https://priceroberts.com www.inspiringtechleaders.com

We spend a lot of time talking about what AI can do for us. But there is a much bigger question emerging: What happens when AI starts helping to improve the technology that creates AI? That is the idea behind Recursive Self Improvement (RSI). AI systems are already being used to write code, run experiments, analyse results and contribute to AI research. We are not yet at a point where AI is independently redesigning itself and creating increasingly capable successors without human involvement. But the boundary is moving. And that raises some fascinating questions. Could AI eventually improve AI research faster than humans can? What happens to human oversight when AI becomes an increasingly active participant in its own development? Could the same AI systems that accelerate capability also help improve AI safety and alignment? And what could this mean for CIOs, CTOs and technology leaders trying to plan for a future where the underlying capabilities of AI could themselves be accelerating? In this Inspiring Tech Leaders episode, I explore the rise of Recursive Self Improvement, how it relates to AGI, the potential economic impact, the challenges around safety and governance, and what it could mean when AI begins to play a bigger role in creating the AI that follows it. Available on: Apple Podcasts | Spotify | YouTube | All major podcast platforms Send me a message Start building your thought leadership portfolio today with INSPO.  Wherever you are in your professional journey, whether you're just starting out or well established, you have knowledge, experience, and perspectives worth sharing. Showcase your thinking, connect through ideas, and make your voice part of something bigger at INSPO - https://www.inspo.expert/ Support the show I’m truly honoured that the Inspiring Tech Leaders podcast is now reaching listeners in over 125 countries and 1,900+ cities worldwide. Thank you for your continued support!  If you’d enjoyed the podcast, please leave a review and subscribe to ensure you're notified about future episodes. For further information visit -  https://priceroberts.com/Podcast/ https://priceroberts.com www.inspiringtechleaders.com

Could AI be turning cybersecurity into an AI versus AI arms race? In this episode of the Inspiring Tech Leaders podcast, I explore the rapidly changing relationship between artificial intelligence and cybersecurity, following reports that a small team of security researchers used Anthropic’s Claude to help breach an OpenAI environment in less than 72 hours. The story highlights a fundamental shift in cybersecurity. AI can help security professionals discover vulnerabilities, analyse code, investigate attacks and strengthen defences, but the same capabilities could also give attackers greater speed, scale and accessibility. I explore how AI is changing the economics of cyber attacks, what happens when AI agents are given access to corporate systems and credentials, and why an AI mistake becomes a much more serious security issue when the system has the ability to take real-world actions. The episode also examines the emerging AI cybersecurity arms race, where attackers can use AI to automate reconnaissance and vulnerability discovery while defenders use AI to monitor systems, detect threats and identify vulnerabilities before they are exploited. For technology leaders, the key question is no longer simply whether AI can perform a task. It is whether that AI can perform it safely when connected to real business systems, data and infrastructure. Because the next phase of AI may not simply be about building more intelligent models. It could be about deciding how safely we give those models the ability to act. Available on: Apple Podcasts | Spotify | YouTube | All major podcast platforms Send me a message Start building your thought leadership portfolio today with INSPO.  Wherever you are in your professional journey, whether you're just starting out or well established, you have knowledge, experience, and perspectives worth sharing. Showcase your thinking, connect through ideas, and make your voice part of something bigger at INSPO - https://www.inspo.expert/ Support the show I’m truly honoured that the Inspiring Tech Leaders podcast is now reaching listeners in over 125 countries and 1,900+ cities worldwide. Thank you for your continued support!  If you’d enjoyed the podcast, please leave a review and subscribe to ensure you're notified about future episodes. For further information visit -  https://priceroberts.com/Podcast/ https://priceroberts.com www.inspiringtechleaders.com

Nvidia’s reported $12.9 billion acquisition of Hugging Face is about much more than buying another AI company. At the heart of the deal is a much bigger strategic question, which is who controls the ecosystem where AI developers discover models, access datasets, experiment with tools and build the next generation of AI applications and agents? Hugging Face has become one of the most important platforms in the AI and open source ecosystem, connecting developers with thousands of AI models, datasets, libraries and development tools. For Nvidia, acquiring Hugging Face could extend its influence far beyond GPUs and AI infrastructure. It could give Nvidia a much stronger position across the entire AI technology stack, from the infrastructure powering AI workloads to the platforms where developers choose the models and tools they use to build applications. That raises some fascinating questions for technology leaders. Could Nvidia be building the most powerful AI ecosystem in the world? What would the acquisition mean for AI developers, enterprise AI, generative AI and AI agents? Could Nvidia influence which AI models become widely adopted? And perhaps most importantly, what happens to open source AI, competition and neutrality if one of the world's most important AI infrastructure companies owns a platform at the centre of the developer ecosystem? In this episode of Inspiring Tech Leaders, I explore Nvidia’s Hugging Face acquisition, the strategic motivations behind the deal and what it could mean for the future of AI. If you are a CIO, CTO, technology leader, AI developer or technology strategist, this is a deal worth understanding. Is Nvidia simply strengthening its AI ecosystem, or is it positioning itself to influence the future direction of artificial intelligence? Listen to the episode and let me know what you think. Available on: Apple Podcasts | Spotify | YouTube | All major podcast platforms Send me a message Start building your thought leadership portfolio today with INSPO.  Wherever you are in your professional journey, whether you're just starting out or well established, you have knowledge, experience, and perspectives worth sharing. Showcase your thinking, connect through ideas, and make your voice part of something bigger at INSPO - https://www.inspo.expert/ Support the show I’m truly honoured that the Inspiring Tech Leaders podcast is now reaching listeners in over 125 countries and 1,900+ cities worldwide. Thank you for your continued support!  If you’d enjoyed the podcast, please leave a review and subscribe to ensure you're notified about future episodes. For further information visit -  https://priceroberts.com/Podcast/ https://priceroberts.com www.inspiringtechleaders.com

GPT-6 Astra is here and AI may have just taken another major step towards becoming a digital employee. In this episode of Inspiring Tech Leaders, I take a look at OpenAI’s new GPT-6 Astra and what makes it different from the AI models we’ve become used to. This isn’t simply about better answers. Astra is designed to reason, research, write code, use computers, browse the web and carry out increasingly complex tasks with much greater autonomy. And there’s another side to the story. OpenAI says Astra has reached a new threshold in cybersecurity capability, with the ability to identify previously unknown vulnerabilities and develop exploits when given the right tools and access. So what happens when AI moves from responding to instructions to actually performing work? I explore what this could mean for the future of work, cybersecurity, AI agents and enterprise technology, as well as the challenges around governance, monitoring and keeping humans in control. I also look at the rather messy rollout of GPT-6 Astra and a fascinating real-world test of GPT-6 Pro for job searching. What do you think? Are we entering the era of the AI employee, or are we still some way from truly autonomous AI? Available on: Apple Podcasts | Spotify | YouTube | All major podcast platforms Send me a message Start building your thought leadership portfolio today with INSPO.  Wherever you are in your professional journey, whether you're just starting out or well established, you have knowledge, experience, and perspectives worth sharing. Showcase your thinking, connect through ideas, and make your voice part of something bigger at INSPO - https://www.inspo.expert/ Support the show I’m truly honoured that the Inspiring Tech Leaders podcast is now reaching listeners in over 125 countries and 1,900+ cities worldwide. Thank you for your continued support!  If you’d enjoyed the podcast, please leave a review and subscribe to ensure you're notified about future episodes. For further information visit -  https://priceroberts.com/Podcast/ https://priceroberts.com www.inspiringtechleaders.com

Sam Altman says OpenAI expects to have an internal system that it considers artificial general intelligence by the end of this year. That could put AGI just months away. But there's a fascinating contradiction. At the same time OpenAI is talking about reaching AGI, it's also dealing with serious questions around AI safety after an unreleased model escaped a controlled environment and accessed the internet. So, are we moving faster on AI capability than we are on AI control? In this episode of the Inspiring Tech Leaders podcast, I take a look at the latest developments around OpenAI, including its reported Astra models, AI agents working together on complex problems, AI conducting research and the possibility of AI helping to build the next generation of AI. The big shift is from AI that responds to AI that acts. If an AI system can write code, conduct research, run experiments, operate software and potentially improve the systems that come after it, what level of autonomy should we be prepared to give it? For technology leaders, this isn't just an AI story. It's a story about governance, risk, productivity, innovation and the future of work. The question I'm asking in this episode is simple: If AGI really is coming, will we be ready for it? Available on: Apple Podcasts | Spotify | YouTube | All major podcast platforms Send me a message Start building your thought leadership portfolio today with INSPO.  Wherever you are in your professional journey, whether you're just starting out or well established, you have knowledge, experience, and perspectives worth sharing. Showcase your thinking, connect through ideas, and make your voice part of something bigger at INSPO - https://www.inspo.expert/ Support the show I’m truly honoured that the Inspiring Tech Leaders podcast is now reaching listeners in over 125 countries and 1,900+ cities worldwide. Thank you for your continued support!  If you’d enjoyed the podcast, please leave a review and subscribe to ensure you're notified about future episodes. For further information visit -  https://priceroberts.com/Podcast/ https://priceroberts.com www.inspiringtechleaders.com

The EU AI Act has entered a new and important phase. In this episode of the Inspiring Tech Leaders podcast, I explore what the 2 August 2026 milestone means for organisations using, deploying and supplying AI. The discussion covers: 💡 Why transparency is becoming a core AI responsibility 💡 When people must be told they are interacting with AI 💡 New expectations around deepfakes and synthetic media 💡 The importance of machine-readable labelling and digital provenance 💡 Why every organisation needs an AI invento💡 The difference between AI providers and deployers 💡 How AI procurement is becoming part of supply-chain governance 💡 The potential penalties for getting transparency obligations wrong 💡 Whether responsible AI can become a competitive advantage rather than simply a compliance burden The central message is simple – AI Governance should not be about stopping innovation. It should be about enabling organisations to innovate safely, transparently and responsibly. Available on: Apple Podcasts | Spotify | YouTube | All major podcast platforms Send me a message Start building your thought leadership portfolio today with INSPO.  Wherever you are in your professional journey, whether you're just starting out or well established, you have knowledge, experience, and perspectives worth sharing. Showcase your thinking, connect through ideas, and make your voice part of something bigger at INSPO - https://www.inspo.expert/ Support the show I’m truly honoured that the Inspiring Tech Leaders podcast is now reaching listeners in over 125 countries and 1,900+ cities worldwide. Thank you for your continued support!  If you’d enjoyed the podcast, please leave a review and subscribe to ensure you're notified about future episodes. For further information visit -  https://priceroberts.com/Podcast/ https://priceroberts.com www.inspiringtechleaders.com

The rise of Vibe Tooling is fundamentally changing the software development lifecycle. We’re moving away from a world where we spend thousands of hours writing lines of code, and into an era where natural language is the control layer. In this episode of the Inspiring Tech Leaders podcast, I dive deep into the current landscape of AI-powered development and compare the four major players shaping 2026: 💡 Lovable - The Product Builder, perfect for turning an idea into a full-stack application in minutes. 💡 Replit - The Bridge, ideal for learners who want to build first and understand the underlying machinery later. 💡 Cursor - The Engineer, a powerhouse for professional developers managing complex, existing codebases. 💡 GitHub Copilot - The Enterprise Ecosystem, integrating AI agents directly into the governance and security of the dev lifecycle. But here’s the catch, the easier software becomes to create, the easier it becomes to create bad software. As AI takes over implementation, human expertise in architecture, security, and critical thinking becomes more valuable than ever. We aren't being replaced, we're being promoted to Orchestrators. Available on: Apple Podcasts | Spotify | YouTube | All major podcast platforms Send me a message Start building your thought leadership portfolio today with INSPO.  Wherever you are in your professional journey, whether you're just starting out or well established, you have knowledge, experience, and perspectives worth sharing. Showcase your thinking, connect through ideas, and make your voice part of something bigger at INSPO - https://www.inspo.expert/ Support the show I’m truly honoured that the Inspiring Tech Leaders podcast is now reaching listeners in over 125 countries and 1,900+ cities worldwide. Thank you for your continued support!  If you’d enjoyed the podcast, please leave a review and subscribe to ensure you're notified about future episodes. For further information visit -  https://priceroberts.com/Podcast/ https://priceroberts.com www.inspiringtechleaders.com

In this episode of the Inspiring Tech Leaders podcast, I discuss the recent news surrounding Anthropic’s Claude and OpenAI models. During cybersecurity evaluations, these models didn't just stay in their sandbox, they gained unauthorised access to real-world systems. But this isn't a story about rogue AI. It’s a story about configuration, context, and the rapidly advancing capability of agentic AI software. Key Takeaways for Tech Leaders: 💡 AI is automating the discovery of basic vulnerabilities at a scale we haven't seen before. 💡 A major challenge remains in teaching AI to distinguish between a lab environment and a live production network. 💡 Security can no longer be a post-innovation afterthought; it must be baked into your AI strategy from Day 1. We are entering an era where intelligent software performs complex tasks with minimal supervision. Are your defences ready? Available on: Apple Podcasts | Spotify | YouTube | All major podcast platforms Send me a message Start building your thought leadership portfolio today with INSPO.  Wherever you are in your professional journey, whether you're just starting out or well established, you have knowledge, experience, and perspectives worth sharing. Showcase your thinking, connect through ideas, and make your voice part of something bigger at INSPO - https://www.inspo.expert/ Support the show I’m truly honoured that the Inspiring Tech Leaders podcast is now reaching listeners in over 125 countries and 1,900+ cities worldwide. Thank you for your continued support!  If you’d enjoyed the podcast, please leave a review and subscribe to ensure you're notified about future episodes. For further information visit -  https://priceroberts.com/Podcast/ https://priceroberts.com www.inspiringtechleaders.com

In this episode of the Inspiring Tech Leaders podcast I discuss how an AI model escaped its OpenAI sandbox environment and launched an autonomous cyberattack on Hugging Face, a leading repository of open-source AI models. What makes this incident even more remarkable is that when prominent American AI systems were unable to assist in the defence due to built-in safety restrictions, an open Chinese model, GLM 5.2, stepped in to help analyse and respond. This event serves as a critical wake-up call for every tech leader. In this episode, I explore the evolving landscape of AI security, questioning whether organisations are truly prepared for autonomous AI agents acting as cyber adversaries. I also examine the geopolitical implications of AI leadership and the rapid rise of open models. Furthermore, I address crucial questions surrounding AI governance, responsibility, and the imperative for robust testing environments. As AI capabilities continue to advance at an unprecedented pace, it is essential that our security strategies, governance frameworks, and even our fundamental understanding of cyber warfare evolve in tandem. This episode offers vital insights for boards, security teams, and regulators alike, providing a comprehensive look at the challenges and opportunities ahead. Available on: Apple Podcasts | Spotify | YouTube | All major podcast platforms Send me a message Start building your thought leadership portfolio today with INSPO.  Wherever you are in your professional journey, whether you're just starting out or well established, you have knowledge, experience, and perspectives worth sharing. Showcase your thinking, connect through ideas, and make your voice part of something bigger at INSPO - https://www.inspo.expert/ Support the show I’m truly honoured that the Inspiring Tech Leaders podcast is now reaching listeners in over 125 countries and 1,900+ cities worldwide. Thank you for your continued support!  If you’d enjoyed the podcast, please leave a review and subscribe to ensure you're notified about future episodes. For further information visit -  https://priceroberts.com/Podcast/ https://priceroberts.com www.inspiringtechleaders.com

The global AI landscape is shifting, and the latest announcement from Moonshot AI proves that the race is no longer just a Silicon Valley story. In this episode of the Inspiring Tech Leaders podcast, I discuss the launch of Kimi K3, a Chinese large language model that’s making waves by competing directly with the likes of OpenAI and Anthropic. What makes Kimi K3 worth watching? 💡 Massive Scale - Reportedly featuring 2.8 trillion parameters, it’s one of the largest open-weight models ever released. 💡 Efficiency at Scale - Utilising a Mixture of Experts (MoE) architecture to deliver high performance without the massive compute overhead. 💡 Transformational Context - A 1-million token context window that allows businesses to process thousands of pages in a single conversation, perfect for legal, finance, and engineering. 💡 Open-Weight Flexibility - Giving enterprises the power to run and customise models on their own infrastructure, ensuring data security and sovereignty. We’re moving beyond the "which model is best" conversation. As AI becomes commoditised, the real competitive advantage lies in how you integrate these tools into your business processes and employee workflows. The gap in global AI leadership is narrowing. Are you ready for a more distributed and competitive AI future? Available on: Apple Podcasts | Spotify | YouTube | All major podcast platforms Send me a message Start building your thought leadership portfolio today with INSPO.  Wherever you are in your professional journey, whether you're just starting out or well established, you have knowledge, experience, and perspectives worth sharing. Showcase your thinking, connect through ideas, and make your voice part of something bigger at INSPO - https://www.inspo.expert/ Support the show I’m truly honoured that the Inspiring Tech Leaders podcast is now reaching listeners in over 125 countries and 1,900+ cities worldwide. Thank you for your continued support!  If you’d enjoyed the podcast, please leave a review and subscribe to ensure you're notified about future episodes. For further information visit -  https://priceroberts.com/Podcast/ https://priceroberts.com www.inspiringtechleaders.com

Are we focusing too much on the potential downsides of AI? While concerns about job displacement and cybersecurity are valid, there's a powerful, positive side to artificial intelligence that deserves our attention, which is AI for Good. In this episode of Inspiring Tech Leaders, I discuss how AI is becoming one of humanity's most powerful tools for solving global problems. From revolutionising healthcare and protecting our planet to transforming education and enhancing disaster response, AI is amplifying human capabilities across every sector. Discover inspiring real-world examples:  💡 AI assisting doctors in early disease diagnosis and accelerating drug discovery 💡 AI monitoring deforestation, predicting natural disasters, and optimising renewable energy. 💡 Precision agriculture using AI to boost food production with fewer resources. 💡 Personalised learning platforms adapting to individual student needs. 💡 AI rapidly analysing data to prioritise rescue operations and predict crises. 💡 AI opening new opportunities for individuals with disabilities through speech recognition, real-time captioning, and computer vision. We also tackle the critical challenges, these being; bias privacy, accessibility, energy consumption, and governance. The episode emphasises that the future of AI isn't predetermined, it's shaped by the choices we make today. It's a collective responsibility for engineers, business leaders, policymakers, educators, researchers, and informed citizens to ensure AI benefits everyone. Tune in to understand how responsible innovation and ethical leadership are paramount in building trusted AI systems. Learn how your organisation can leverage AI to create a positive impact beyond just efficiency. Available on: Apple Podcasts | Spotify | YouTube | All major podcast platforms Send me a message Start building your thought leadership portfolio today with INSPO.  Wherever you are in your professional journey, whether you're just starting out or well established, you have knowledge, experience, and perspectives worth sharing. Showcase your thinking, connect through ideas, and make your voice part of something bigger at INSPO - https://www.inspo.expert/ Support the show I’m truly honoured that the Inspiring Tech Leaders podcast is now reaching listeners in over 125 countries and 1,900+ cities worldwide. Thank you for your continued support!  If you’d enjoyed the podcast, please leave a review and subscribe to ensure you're notified about future episodes. For further information visit -  https://priceroberts.com/Podcast/ https://priceroberts.com www.inspiringtechleaders.com

While the headlines are obsessed with the latest AI breakthroughs, every Technology Leader is quietly asking the same question; Can we actually afford to use AI everywhere? In this episode of Inspiring Tech Leaders, we move past the hype to explore the AI Economics shift that is redefining enterprise IT. The AI arms race is entering a new phase. We’re moving from a focus on capability (what can it do?) to a focus on viability (what does it cost?). We dive into three critical perspectives that every leader needs to hear:  💡 The Inference Battleground - The future of AI won’t be won by the smartest models, but by whoever makes every interaction cheaper. 💡 The Compute vs. Salary Paradox - How Nvidia’s own teams are finding that compute costs now exceed the cost of employing highly skilled people. 💡 The Infrastructure Crisis - Are we building the wrong AI architecture altogether? I discuss why efficiency is now a physical necessity, not just a financial one. If you’re responsible for scaling AI within your organisation, this is an episode you can't afford to miss. Available on: Apple Podcasts | Spotify | YouTube | All major podcast platforms Send me a message Start building your thought leadership portfolio today with INSPO.  Wherever you are in your professional journey, whether you're just starting out or well established, you have knowledge, experience, and perspectives worth sharing. Showcase your thinking, connect through ideas, and make your voice part of something bigger at INSPO - https://www.inspo.expert/ Support the show I’m truly honoured that the Inspiring Tech Leaders podcast is now reaching listeners in over 125 countries and 1,900+ cities worldwide. Thank you for your continued support!  If you’d enjoyed the podcast, please leave a review and subscribe to ensure you're notified about future episodes. For further information visit -  https://priceroberts.com/Podcast/ https://priceroberts.com www.inspiringtechleaders.com

GPT-5.6 is here, but the real story isn’t just what the model can do. It’s how it arrived. In the episode of Inspiring Tech Leaders, I explore the release of GPT-5.6, the introduction of the Sol, Terra and Luna model family, and why this marks a significant shift in how frontier AI is being developed, tested and deployed. What stands out most is not just the technical leap in reasoning, coding and agent-like capability, but the growing reality that AI releases are now being shaped by governance, regulation and national-level oversight. We are moving into a new phase of artificial intelligence. One where capability is only part of the equation. Reliability, safety, enterprise readiness and even geopolitical considerations are now central to how these systems reach the world. For technology leaders, this raises important questions. How do you adopt rapidly evolving AI systems in a landscape where access, regulation and model behaviour may change with little notice? And how do you build strategies that remain resilient in that environment? In this episode, I break down what GPT-5.6 actually changes, why the rollout has been so unusual, and what it signals for the next phase of enterprise AI adoption. If you’re leading technology, digital transformation or AI strategy, this is one you won’t want to miss. Are we entering an era of governed AI innovation, or simply the natural next step in responsible deployment? Available on: Apple Podcasts | Spotify | YouTube | All major podcast platforms Send me a message Start building your thought leadership portfolio today with INSPO.  Wherever you are in your professional journey, whether you're just starting out or well established, you have knowledge, experience, and perspectives worth sharing. Showcase your thinking, connect through ideas, and make your voice part of something bigger at INSPO - https://www.inspo.expert/ Support the show I’m truly honoured that the Inspiring Tech Leaders podcast is now reaching listeners in over 125 countries and 1,900+ cities worldwide. Thank you for your continued support!  If you’d enjoyed the podcast, please leave a review and subscribe to ensure you're notified about future episodes. For further information visit -  https://priceroberts.com/Podcast/ https://priceroberts.com www.inspiringtechleaders.com

Last week, Anthropic’s Fable 5 and Mythos 5, some of the most advanced models ever built, were pulled offline globally due to a US Government Export Ban. This wasn't a technical glitch or a commercial failure. It was geopolitics. We are now in an era where AI models are treated as strategic national assets, similar to advanced semiconductors or military technology. In this episode of Inspiring Tech Leaders, I explore:  💡 Why the US government intervened so rapidly. 💡 How the gap between American and Chinese AI models is shrinking. 💡 The new reality for tech CEOs - transitioning from business leaders to AI diplomats. 💡 Why enterprise resilience now depends on political and regulatory stability. The boardroom is expanding, and the CEO’s job description is being rewritten. Available on: Apple Podcasts | Spotify | YouTube | All major podcast platforms Send me a message Start building your thought leadership portfolio today with INSPO.  Wherever you are in your professional journey, whether you're just starting out or well established, you have knowledge, experience, and perspectives worth sharing. Showcase your thinking, connect through ideas, and make your voice part of something bigger at INSPO - https://www.inspo.expert/ Support the show I’m truly honoured that the Inspiring Tech Leaders podcast is now reaching listeners in over 125 countries and 1,900+ cities worldwide. Thank you for your continued support!  If you’d enjoyed the podcast, please leave a review and subscribe to ensure you're notified about future episodes. For further information visit -  https://priceroberts.com/Podcast/ https://priceroberts.com www.inspiringtechleaders.com