Richard Huston unpacks AI misconceptions in return to Finance Connect Podcast

Their conversation explores how quickly artificial intelligence has evolved over the past year – and, more importantly, what equipment finance leaders should understand about how AI is really being used in enterprise environments.

Huston cuts through several common misconceptions, starting with data. While many business users worry that their prompts and company information are automatically being used to train AI models, Huston explains that this largely depends on whether they are using consumer tools or enterprise-grade versions. In business and enterprise environments, he says, providers are generally structured not to train on customer data – a critical distinction for regulated industries such as asset and equipment finance.

The discussion also challenges the idea that AI models are continuously “learning” from every interaction. In most cases, Huston explains, the model is static once released. What matters is not so much live learning, but the quality of the context provided to the model. This shift from “prompt engineering” to “context engineering” is one of the most important developments for business users.

A major theme of the episode is the rise of AI tools that integrate directly into everyday work. Huston highlights how agentic AI, including tools such as Claude Code and Claude Cowork, is beginning to change how people interact with documents, internal knowledge bases and workflows. Rather than relying on carefully crafted prompts, users can increasingly give AI access to the right files, systems and business context, allowing it to assist with more meaningful work.

For the equipment finance industry, Huston argues that the biggest opportunities are likely to come not from training entirely new models, but from applying existing models effectively around structured and unstructured business data. He also notes that AI itself can help organisations clean up policies, procedures and operational documentation that may otherwise slow down adoption.

The episode also addresses one of the biggest questions facing software providers and business leaders: will AI replace software – or people? Huston’s view is more nuanced. Core, domain-specific platforms that sit at the heart of business operations are unlikely to be swept away. Instead, AI may reshape more generalist software categories and create opportunities for specialised tools built around deep domain expertise.

On jobs, Huston cautions against simplistic headlines about AI-driven layoffs. While disruption is inevitable, he sees many businesses using AI to grow, improve service levels and handle more work without simply expanding headcount. His advice to young people entering the workforce is clear: learn the latest AI tools, but also build genuine expertise in a specific business domain.

Looking ahead, Huston predicts that the next twelve months will be defined less by model version numbers and more by AI’s integration into the tools companies already use. The real change, he suggests, will come when AI becomes embedded in workflows, systems and decision-making processes across the business.

The episode is available now on the Finance Connect European Equipment Finance Podcast page and on Apple Podcasts, YouTube, Spotify and Amazon Music.