Enterprise technology has continually raised productivity expectations – from enterprise resource planning’s (ERP) “systems of record” to generative artificial intelligence (GenAI) “AI copilots.” Now, AI agents are entering the workforce and everything about how we run businesses is poised to change. In today’s world, where geopolitical volatility can reroute supply chains in weeks and technology cycles compress from years to months, the question for chief executive officers is no longer whether to transform but how to orchestrate transformation at scale, with speed and accountability rising together.
This profound change at every level of business requires business leaders to take bold action and embed AI into the core of their business operations, orchestrating transformation at scale with a strong, responsible data foundation. The current surge in AI adoption reflects a rat race of hype-fuelled, entrepreneurial deployments with many businesses adopting rapid AI implementations aimed at achieving quick tactical results and productivity improvements, often without sufficient attention to long-term strategic considerations or overall business transformation goals.
In fact, today most AI efforts remain small-scale experiments, not transformative programmes.
Our perspective:
- Scattered pilots and quick wins won’t deliver sustainable impact; success requires artificial intelligence (AI) to be woven into core operations.
- Poor governance and low data maturity are the main barriers to scaling AI rather than the algorithms themselves.
- Empowering, reskilling and preparing the workforce is essential to transform alongside AI, not be sidelined by it.
Read the full article on the World Economic Forum website here
