What happened
A Deloitte study reveals only 14% of organisations have AI systems ready for large-scale deployment, with just 11% in active production, despite 30% exploring advanced systems and 38% testing pilots. Concurrently, 42% are developing AI adoption roadmaps, while 35% lack a formal plan. A Korn Ferry report indicates 52% of talent acquisition leaders find strict office mandates hinder recruitment, with 72% noting remote roles attract applicants more easily. The tech job market is transitioning towards specialised roles such as prompt engineer, AI solutions architect, and machine learning operations specialist.
Why it matters
Slow AI operationalisation, despite extensive exploration, creates a significant gap between strategic ambition and practical implementation for CTOs and architects. This constraint on large-scale AI deployment limits the realisation of anticipated productivity gains and cost reductions. For founders and investors, the increasing demand for specialised AI roles, coupled with talent's preference for remote work, will intensify competition and elevate the cost of acquiring critical expertise. Procurement teams will face challenges securing talent for these niche positions, particularly if rigid workplace policies persist.
