Practical guidance on AI workplace transformation. Learn why human leadership and change management matter more than technology in AI implementation.
AI implementation failure affects 70-95% of projects—not just because of poor technology, but mismanaged people. Drawing on neuroscience research and the SPACES framework, discover why human factors predict success or failure and how people-centric change management turns AI adoption from frustration into momentum.
What can a prehistoric creature with nine brains, three hearts, and the ability to edit its own RNA teach us about thriving in the AI revolution? Stephen Wunker reveals why most companies are approaching AI transformation entirely wrong—and why the octopus offers a better blueprint.
Between 70-95% of AI implementations fail—not just because of technology, but because organisations ignore fundamental neuroscience principles about human response to change. MIT research reveals six brain-based threats that trigger resistance. Success requires addressing these human factors through collaborative, people-centred implementation.
Where can AI genuinely enhance Jobs to Be Done research, and where does it fall short? Scott Burleson reveals AI's current capabilities in innovation research—from accelerating secondary research to its critical limitations in prioritisation and the abductive reasoning that only human expertise provides.
People-centric change leadership is essential for AI implementation success. The PEOPLE Framework addresses why most change programmes fail - not through technology limitations, but through lack of buy-in. Discover a practical approach that puts people at the centre of transformation.
Aviation expert Barry Eustance reveals why AI implementation requires human oversight, not replacement. His insights on error rates, shared accountability, and contingency planning offer crucial lessons for industrial leaders in agriculture, food, and chemicals sectors navigating AI adoption safely
Despite massive investments, 95% of AI projects fail to deliver business value due to organisational design flaws, not technology limitations. Research from "AI and the Octopus Organization" reveals a paradox: successful AI transformation requires stronger human leadership, not weaker. Strategic clarity must precede technological sophistication for transformation success.
AI accelerates strategy development but intensifies human implementation challenges. Our podcast discussion with Barry Eustance reveals why collaborative change management becomes more critical as AI capabilities advance, exploring neuroscience insights and practical approaches for sustainable transformation.