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Inspiring Tech Leaders

The Technology Podcast Series

Gemini 4 Argon vs Claude Opus 5.5 vs GPT 6 - Which AI Wins for Business?

AI Model Comparison

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


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GPT-6 Astra - What Happens When AI Becomes a Digital Employee?

GPT6

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

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The Governance Question Every Enterprise Is Asking About Citizen Development

Citizen Development

Citizen development is no longer a niche trend. It’s rapidly becoming one of the defining operating models for modern organisations.

In this episode of the Inspiring Tech Leaders podcast, I explore how businesses are empowering employees outside traditional IT teams to build automations, applications, and digital workflows using low-code, no-code, and AI-powered platforms.

But there’s a challenge many organisations are now facing:

How do you unlock innovation at scale without creating governance chaos?

I discuss:
💡 The rise of citizen developers across enterprise organisations
💡 Why traditional centralised IT models are struggling to keep pace with demand
💡 How low-code and AI are transforming software creation
💡 The real risks around shadow IT, security, compliance, and fragmentation
💡 Why governance should enable innovation rather than block it
💡 How leading organisations are building “coordinated autonomy” at scale
💡 The changing role of IT from gatekeeper to innovation enabler

This episode is particularly relevant for technology leaders, transformation teams, operations leaders, CIOs, digital strategists, and anyone navigating enterprise innovation in the AI era.

If your organisation is trying to move faster without losing control, this episode will resonate.

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

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