artificial intelligence

PriceRoberts | Inspiring Tech Leaders | Technology Leader

Could Silicon Valley Lose Its AI Edge? The Rise of Moonshot AI’s Kimi K3 Explained

19/07/26 19:00 Filed in: Technology | Business

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 customize 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

AI for Good – A Force Multiplier for Humanity

12/07/26 12:00 Filed in: Technology | Business

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

The Hidden Cost of AI - Why Compute, Not Intelligence, Is Becoming the Biggest Challenge

05/07/26 12:00 Filed in: Technology | Business

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

The Demand vs Capacity - The Problem Every Tech Leader Faces

26/04/26 12:00 Filed in: Technology | Business

In this episode of the Inspiring Tech Leaders Podcast, I explore how modern technology leaders should navigate the relentless demand, constant change, and the pressure to innovate without compromising resilience.

Today’s organisations are being pulled in multiple directions. Every function wants more, be that AI, automation, better data, or faster delivery. But while demand keeps growing, capacity doesn’t. And when everything becomes a priority, organisations risk fragmentation, technical debt, and slower outcomes.

So how do the best tech leaders stay in control?

In this episode, you’ll discover:
💡Why demand is infinite but capacity is not and how to prioritise effectively
💡How to align technology, risk, compliance, finance, and operations for better decisions
💡The shift from project-based delivery to product and value-stream thinking
💡How to balance innovation with operational stability and governance
💡Why creating separate innovation and core environments is critical
💡The truth about AI adoption and why data quality matters more than tools
💡How to turn constant change into a competitive advantage

Key takeaway:

Balancing demand, change, and innovation isn’t a one-off decision, it’s an ongoing discipline. The organisations that succeed are those that combine clear priorities, strong alignment, and intentional design to move fast and stay resilient.

Available on: Apple Podcasts | Spotify | YouTube | All major podcast platforms

GPT-5.4-Cyber – OpenAI in AI Arms Race with Anthropic

19/04/26 12:00 Filed in: Technology | Business

Are we entering an AI arms race in cybersecurity?

In this episode of the Inspiring Tech Leaders podcast, I look at OpenAI’s strategic launch of GPT-5.4-Cyber and what it means for the future of digital defence.

This isn't just another incremental AI upgrade. It’s a specialised, highly capable model designed specifically for defensive cybersecurity tasks, and a direct response to Anthropic’s Mythos.

I explore the divergence in strategy between these two tech giants:
💡 Anthropic’s centralised, highly restricted approach.
💡 OpenAI’s broader, scaled trust model for verified defenders.
As AI models evolve from general assistants to tools capable of identifying vulnerabilities and reverse-engineering software, the line between defence and offence is blurring. We are moving toward an era of AI vs. AI in cybersecurity.

The critical question for technology leaders today is: How do we balance the need to empower defenders with the risk of these powerful tools being misused?

Available on: Apple Podcasts | Spotify | YouTube | All major podcast platforms

Claude Mythos - The AI Too Dangerous to Release

11/04/26 12:00 Filed in: Technology | Business

In this episode of the Inspiring Tech Leaders podcast, I look at Anthropic's Claude Mythos. This AI model is so advanced, so capable of finding zero-day vulnerabilities, that its creators have deemed it too dangerous for public release!

In this episode I explore the following:

💡 The astonishing capabilities of Claude Mythos, including its ability to uncover decades-old flaws in critical systems like OpenBSD and FFmpeg.

💡 Project Glasswing - Anthropic's unprecedented initiative to collaborate with tech giants like AWS, Apple, Google, and Microsoft to proactively secure our digital infrastructure.

💡 The profound implications for cybersecurity: Is AI flipping the script on attackers and defenders? What happens when AI can autonomously exploit vulnerabilities?

💡 Crucial lessons for tech leaders on preparing for AI-driven cyberattacks, embracing AI-assisted defence, and prioritizing secure coding practices.

This isn't just about AI; it's about control, the future of digital security, and the urgent debate around who should wield such powerful technology.

Available on: Apple Podcasts | Spotify | YouTube | All major podcast platforms

The Claude Code Leak Explained – Risks, Insights and Opportunities

05/04/26 12:00 Filed in: Technology | Business

This week on the Inspiring Tech Leaders podcast, I look at the recent Claude Code Leak from Anthropic. What started as an April Fool's Day confusion turned into a rare and insightful look into the inner workings of one of the world's most advanced AI coding assistants.

This isn't just about a data leak; it's a critical discussion for technology leaders, software developers, security professionals, and business decision-makers. In this episode I look at:

💡 The true power of AI Agents – It’s not just the model, but the sophisticated orchestration, workflow rules, and memory systems built around it.
💡 The future of AI Competitive Advantage – why system design, tooling, and workflow management are becoming more crucial than raw model intelligence.
💡 The rise of autonomous AI Agents - Anthropic's leak hints at a future with persistent, collaborative, and highly autonomous AI systems.
💡 New attack surfaces and security risks - How agentic AI creates unprecedented challenges for cybersecurity and governance.
💡 The enduring need for human engineers - AI enhances productivity but doesn't replace the need for skilled professionals.

Join me as I explore the implications of this incident, from intellectual property protection in the AI era to the importance of operational discipline in fast-moving tech cultures. This episode is a warning shot and a roadmap for navigating the evolving landscape of AI.

Tune in now to understand where the next wave of AI is heading and how your organisation can adopt it responsibly.

Available on: Apple Podcasts | Spotify | YouTube | All major podcast platforms

OpenAI Pulls the Plug on Sora - Here's What Happened

29/03/26 12:00 Filed in: Technology | Business

OpenAI is shutting down Sora, its groundbreaking AI video platform, just one year after its highly anticipated launch! Why would a company pull the plug on a product that captured global attention and seemed to revolutionise video creation?

In this episode of the Inspiring Tech Leaders podcast, I discuss this surprising decision. I explore the multifaceted reasons behind Sora's shutdown, from the astronomical computing costs of video generation to OpenAI's strategic pivot towards a 'super app' vision and the immense challenges of content moderation and copyright in the age of AI.

This isn't just a story about one product; it's a critical case study for every tech leader. I discuss the vital lessons on distinguishing hype from sustainable value, managing infrastructure costs, navigating legal and ethical minefields, and the courage it takes to make tough strategic decisions, even when a product is popular.

Tune in to understand what Sora's shutdown tells us about the future of AI, product strategy, and the evolving landscape of innovation.

Available on: Apple Podcasts | Spotify | YouTube | All major podcast platforms

The Reason Why Apple is Clashing with Vibe Coding

22/03/26 12:00 Filed in: Technology | Business

In this episode of the Inspiring Tech Leaders podcast, I look at Apple's recent clampdown on "Vibe Coding" apps in the App Store. These AI-powered tools are democratising software creation, allowing users to build apps with little to no coding experience. But Apple is pushing back, raising critical questions about security, control, and the future of app development.

In this episode I discuss:

💡 What exactly is Vibe Coding and why is it a game-changer?
💡 Apple's rationale: Is it about protecting users from dynamic code execution, or maintaining tight control over its platform?
💡 The tension between developers pushing for innovation and Apple's strict guidelines.
💡 The broader implications for AI's role in software development and the evolving definition of an app.

This isn't just a tech story; it's a strategic dilemma for all tech leaders. How do we balance innovation with control in the age of AI?

Available on: Apple Podcasts | Spotify | YouTube | All major podcast platforms