The WEF/PwC white paper shows how GenAI augments rather than replaces jobs — with practical scenarios, clear productivity metrics, and a comprehensive people-first adoption framework. The focus is on engaging employees, building targeted capabilities, and designing technology to increase value creation, quality, and acceptance in equal measure.
- Performance gap & expectations: A smaller share of companies expect significantly higher contributions to revenue and cost reduction than the rest. Leaders are already achieving stronger returns and measurable cost savings — a sign of more mature data, platform, and operating models.
- Playbook for value realization: Successful companies prioritize domain-relevant use cases with direct P&L impact, establish reusable technical components (APIs, modules, models), operate MLOps/LLMOps with clear quality metrics, and manage progress through value backlogs rather than technology roadmaps alone.
- From PoC to product: Scaling succeeds when PoCs are productized, integrated into processes, and safeguarded with governance. This includes data quality controls, security and IP guardrails, operational KPIs (e.g., stability, latency, cost), and training/enablement for business and IT teams.
Source: World Economic Forum & PwC (2024): Leveraging Generative AI for Job Augmentation and Workforce Productivity. White Paper. PDF available via WEF/PwC.
