AI Won’t Save Companies That Don’t Know What To Build

AI Won’t Save Companies That Don’t Know What To Build

Most companies spent the last twenty years trying to become digital. But AI is now testing whether they actually learned how to build, adapt and create value.In this episode of BASELINE, Ian Smith speaks with Malcolm Seagrave, CEO of Hedgehog Lab, about the next phase of digital transformation and why AI adoption is not just about buying tools, rolling out licences or launching proofs of concept.Malcolm has spent decades inside the reality of large organisations trying to transform and stay relevant. He compares the current AI moment to the early internet era, when companies knew they had to move but often did not yet understand the risks, the operating model or the scale of change ahead.The central idea of this conversation is simple: buying technology does not create capability.

Why Enterprise AI Begins with Data

Enterprise AI is changing the way organisations invest in infrastructure. While public attention remains focused on GPUs and large language models, many enterprises are discovering that the real challenge lies elsewhere. Data, storage, networking, security and governance are becoming the foundations of successful AI deployment.In this episode of BASELINE, Ian Smith speaks with Eric Herzog, Chief Marketing Officer at Lenovo, about why enterprise AI is driving renewed investment in storage infrastructure, hybrid cloud and on-premise systems. Together they explore why AI workloads are moving closer to enterprise data, how proprietary data creates competitive advantage, why GPUs alone are not enough, and what enterprise leaders need to understand before deploying AI at scale.

Why More People Are Starting To Build - Ian Sutherland

For decades, turning an idea into a product required funding, developers, technical expertise and a team. Today, that barrier is beginning to disappear.In this episode of BASELINE, former Tide CFO Ian Sutherland shares how a career break after helping scale Tide from less than $1 million to more than $200 million in revenue led him to an unexpected discovery: modern AI tools had dramatically reduced the distance between an idea and a working product.We explore why more people are starting to build, how AI is changing entrepreneurship, what it means for startups and investors, and why some of the most interesting products of the next decade may come from people who understand the problem rather than those who simply know how to code.

AI Is Restructuring Enterprise - Sol Enenmoh

Artificial intelligence is no longer just changing productivity tools. Inside large enterprises, banks and global institutions, AI and AI governance are beginning to reshape how organisations coordinate, decide and operate.In this episode, former HSBC AI transformation lead Sol Enenmoh explores the growing tension between traditional enterprise structures and computational systems evolving at machine speed. From governance and organisational silos to agentic systems, AI literacy and sovereign infrastructure, this conversation examines what may become one of the defining transitions of the next decade: What happens when enterprises are no longer structured around humans coordinating work… but around computational systems coordinating humans?

Do We Still Understand the Systems We Build? Tudor Girba

AI is accelerating software development at an unprecedented pace. But what if the real problem isn’t building software anymore?What if the problem is understanding it?In this episode of BASELINE, Tudor Girba joins Ian Smith to explore one of the most overlooked challenges in modern technology: the growing gap between the software we create and our ability to comprehend it.As AI generates more code, organisations are becoming increasingly dependent on systems that nobody fully understands. From legacy banking infrastructure and enterprise software to AI-assisted development and digital transformation, Tudor argues that the future of software engineering may depend less on writing code and more on learning how to read, understand and evolve complex systems.