Future AI

As the US enters 2027 at the forefront of the global AI race, massive investment in compute, infrastructure and innovation is creating new opportunities alongside challenges around regulation, energy, talent and enterprise adoption. This panel explores how the US can maintain its AI leadership while turning investment and technological progress into sustainable economic and business value.

Discussion topics

• AI infrastructure & compute
• Policy and regulation
• Investment & enterprise ROI
• Talent and workforce transformation
• Public-private collaboration
• Global AI competitiveness

Enterprise AI is rapidly evolving beyond co-pilots towards increasingly autonomous systems capable of planning, reasoning and executing complex workflows.

This session explores the technologies enabling autonomous AI, including agent orchestration, continuous learning, governance frameworks and operational safeguards that allow organisations to deploy AI with greater confidence and control.

AI is becoming more than a productivity tool – it is becoming an active collaborator across knowledge work, customer engagement and operational decision-making.

This session explores how organisations are redesigning workflows around human-AI collaboration, examining new interaction models, multimodal interfaces and AI agents that enhance decision-making while maintaining trust, accountability and human oversight.

The rapid evolution of foundation models has created more choice than ever before. Organisations must decide whether to build on open-weight models, proprietary platforms or hybrid architectures that balance flexibility, security and commercial value.

This panel explores the strategic, technical and financial considerations influencing enterprise AI platform decisions, sharing practical lessons from organisations deploying AI at scale.

Discussion topics
• Open-weight versus proprietary models
• Cost and performance
• Governance and security
• Vendor lock-in
• Long-term platform strategy

AI innovation continues to accelerate, making long-term planning increasingly challenging. Organisations must invest today while remaining flexible enough to adapt to tomorrow’s technological breakthroughs.

This session explores the emerging trends, technologies and business models likely to shape enterprise AI over the coming five years, helping organisations prepare for what’s next while avoiding short-term decision-making.

As governments and enterprises seek greater control over critical AI infrastructure, sovereign AI has become a strategic priority. Organisations are investing in local compute, trusted cloud infrastructure and domestic AI ecosystems to improve resilience, security and regulatory compliance.

This session explores how sovereign AI strategies are evolving, examining infrastructure, data residency, trusted partnerships and the growing importance of national AI capability within an increasingly competitive global landscape.

As AI becomes embedded within critical infrastructure and industrial environments, organisations must demonstrate that autonomous systems remain safe, reliable and accountable throughout their lifecycle.

This session explores AI assurance frameworks, continuous evaluation, observability and governance practices that help organisations deploy trusted AI at scale while maintaining operational resilience and regulatory confidence.

Successfully scaling AI requires more than technology – it demands leadership, organisational change and the confidence to rethink how businesses operate.

This panel brings together senior leaders driving AI transformation across global organisations to discuss the realities of leading enterprise AI programmes, balancing innovation with governance and preparing organisations for an increasingly AI-native future.

Discussion topics
• Leading enterprise-wide AI transformation
• Building trust in autonomous systems
• Organisational change and workforce readiness
• Responsible innovation
• Preparing for the next generation of enterprise AI