In this episode of Born to Disrupt, host Grant Niven, co-host Simon Hardie, and guest Michael Clark discuss the evolving role of data, artificial intelligence (AI), and their implications for innovation, regulation, and society. Michael, an expert in the field, shares insights from his extensive experience and current work on rethinking the value and use of data in a world increasingly shaped by AI.

Data: From Byproduct to Asset
The episode begins with a deep dive into the concept of data as an asset. Historically treated as a byproduct of transactions, data has been undervalued and poorly understood. Michael argues that this perspective must shift, proposing that data be elevated to the status of a real-world asset. He suggests this would unlock its full potential for innovation, enable better monetisation, and drive societal benefits. For example, treating data as a national asset could improve its utilisation and governance, as seen in initiatives by countries like China and Dubai.
Michael also highlights challenges in this space, including the inefficiency of current data storage and management practices. Many organisations hoard data without properly valuing or utilising it, leading to wastage and inefficiencies. He emphasises the need for businesses and governments to rethink their approaches, moving towards sustainable and effective data use.
The Role and Challenges of AI
The discussion then shifts to AI, exploring its dual role as a powerful tool and a disruptive force. AI is often regarded as a solution to complex problems, but Michael warns against overestimating its capabilities in its current form. He critiques the inefficiencies of large AI models, which often rely on unnecessary amounts of data and consume significant energy. Instead, he advocates for smaller, more focused AI systems that can deliver real-time, personalised insights.
Michael envisions a future where AI reaches its full potential by running on real-time data controlled by individuals. This approach, he suggests, would not only enhance AI's effectiveness but also build trust and enable more meaningful applications, such as in healthcare and environmental protection.
Global Data Divide and Democratisation
A recurring theme is the global divide in data access and its implications for equity. Michael raises concerns about how wealthier nations dominate data processing and infrastructure, while less-resourced regions are excluded. This disparity risks exacerbating existing inequalities, making it crucial to democratise access to data and ensure fair use across the globe.
Consumer Data Monetisation and New Opportunities
Michael also explores the potential for individuals to monetise their own data, transforming it into a source of income or personal benefit. He envisions new models, such as data savings accounts and data insurance, which could empower individuals while fostering innovation. For example, healthcare data could be anonymised and shared for research, enabling breakthroughs in preventative medicine.
This concept extends to businesses, which could leverage data as a new asset class to drive economic growth. Michael predicts that healthcare will likely lead the way in this transformation, followed by other sectors such as finance and retail.
Ethics, Regulation, and Digital Identity
The discussion touches on the importance of ethics and regulation in managing data and AI. Michael calls for a shift from privacy-focused regulations to frameworks that emphasise ownership, choice, and value. Digital identity is identified as a critical component, enabling individuals to securely manage their data. Examples of progress in regions like the Nordics and Dubai illustrate how digital identity can underpin a more equitable and efficient data economy.
Future Outlook and Cultural Shifts
Looking ahead, Michael is optimistic about the potential for data and AI to drive transformative change. However, he stresses the need for systemic reform, including changes to education systems to prepare individuals for a data-driven world. He emphasises the value of data not only as an economic asset but also as cultural heritage that must be preserved and protected.
The episode concludes with Michael previewing his forthcoming book, which will explore these themes in depth. The book aims to provide actionable insights for governments, businesses, and investors while also raising awareness among the general public about the transformative power of data and AI.
In summary, this episode offers a thought-provoking exploration of data and AI's evolving roles, emphasising the need for innovative thinking, equitable access, and ethical frameworks to harness their full potential.
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