In this episode, we are looking ahead to 2026, a year identified as a monumental pivot point for global AI adoption. We are moving past the era of the "co-pilot" - where AI acts as a friendly assistant drafting emails, writing code or debugging code - and entering the era of autonomous execution, where AI takes the wheel to perform entire functional processes end-to-end. This episode unpacks 10 major trends that define this new landscape, grouped into critical areas of impact: Operational Shifts: We discuss the transition from AI suggestions to autonomous decision-makers and the radical redesign of business operating models to accommodate fluid, agent-managed systems.• The New Economy: The rise of the "service as a software" economy, where businesses pay for outcomes rather than software licenses, and how agentic AI may cannibalize the traditional SaaS industry.• Value and Risk: Why the focus is shifting from 10% efficiency gains to 10x value creation, and the exponentially harder-to-manage security risks that arise when machines execute high-stakes decisions at high velocity.• Specialization vs. Generalisation: The emergence of "domain variants" - AI trained on specific proprietary workflows -which serve as a new competitive moat compared to generalist models.• Global and Physical Trends: The geopolitical imperative of sovereign AI and the integration of AI into the physical world via humanoid robots.• The Human Element: Why human change and organizational adoption have become the primary bottlenecks, outweighing technical constraints or compute power. For listeners, this episode serves as a strategic roadmap for surviving and thriving in an agents world. You will discover why operating models now matter more than language models and why the "differentiation at the pure tech layer is blurring" as AI becomes a utility like electricity or the cloud. The core takeaway is a shift in career and business value: the research suggests that "operators" who can implement change will outperform "innovators" who simply create it. By listening, you will understand how to transition your role from a tactical "instrument player" to a strategic "conductor" who manages AI objectives, guardrails, and ethical oversight. Ultimately, this episode challenges you to consider how much time your organisation should spend on changing human behaviour versus simply implementing new models, as this ratio may define the winners and losers of the next five years.