BASELINE

Artificial intelligence is changing people faster than organisations can adapt. This investigation explores why that matters, how it is reshaping the way companies operate, and why the next competitive advantage may have less to do with technology than an organisation’s ability to redesign itself.

For decades, organisations have been built around the capabilities of people. Today, individuals can build products, automate workflows and solve problems in ways that were unimaginable just a few years ago. But while capability has accelerated, many organisational structures, governance models and decision-making processes have not.

Artificial Intelligence is changing far more than software. It is changing how organisations learn.

In this conversation, Glen Calvert, founder of Kaizan, explores why the next competitive advantage may not come from writing better software, but from building organisations that continuously learn, adapt and improve through recursive feedback.

Together we examine how AI is transforming product development, customer relationships, organisational knowledge and enterprise operating models. Rather than simply automating work, AI enables organisations to capture experience, identify patterns, improve decisions and continuously evolve in ways that were previously impossible.

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.

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.

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.

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?

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.

AI can now clone voices, fake video calls and imitate real people convincingly enough to steal millions of dollars from businesses in real time.In BASELINE089, Ian Smith sits down with Will Taylor from YEO Messaging to explore the collapse of trusted communication in the AI era. As deepfakes, AI-generated identities and social engineering attacks become increasingly indistinguishable from reality, organisations are facing a new challenge: how do you prove the person on the other side of a message, voice note or video conference is actually real?

Modern engineering systems are becoming increasingly software-defined.From vehicles and aerospace systems to robotics and critical infrastructure, software is now the bottleneck limiting how quickly complex systems can be built, tested and deployed.In BASELINE088, former McLaren Principal Engineer and Arrival Director Elie Talj explores why engineering may be approaching the limits of human scalability, and how new forms of AI could radically accelerate the creation of deterministic control software.The discussion explores the hidden complexity inside modern engineering systems, the tension between speed and reliability, and why current AI coding tools struggle in safety-critical environments.

AI promises abundance, automation and intelligence at planetary scale. But what problem is it actually solving?In BASELINE086, Richard Self joins BASELINE to explore the economics, infrastructure and physical reality behind artificial intelligence, large language models, generative AI and the next generation of compute systems.Drawing on 50 years inside modern computing, from Rolls-Royce mainframes to today’s AI infrastructure race, Richard examines why many AI benchmarks are becoming meaningless, the true economics of generative AI, the physical limits of compute and energy, and why SpaceX is rapidly positioning itself as an AI infrastructure company through orbital data centres and low Earth orbit compute systems.