Challenge I - Technology Disruption

Multiple technologies (GenAI, Adaptive Cloud, Big Data, quantum) combining to create unprecedented disruption.

Challenge II - Perpetual Acceleration

Infinite compute for most practical purposes, private adaptive cloud, and self-improving AI drive relentless business acceleration.

Challenge III – Timing Mismatch

Juggling conflicting timelines and demands with limited tech expertise, talent, and resources.

Challenge IV- Talent Drought

Critical shortage of tech-savvy talent with right skills and qualifications at viable costs.

Challenge V – Organisational Reset

Overhauling culture, systems, and roles for AI integration while managing workforce reskilling and redundancies.

Challenge VI –Governance Hurdles

AI bias, privacy risks, opaque AI decisions, and cybersecurity threats complicate ethical AI use.

Challenge VII – Ethical Tightrope

Balancing AI's efficiency gains against fairness, transparency, job security, and human values.

Challenge VIII – Existential Uncertainty

Obsolescence of core products, competitive advantages and profit pools resulting in amplification of opportunities and risks