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?

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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.

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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.

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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

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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 1,885+ 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 -

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