Reinvention has been the only constant for companies for decades. Transforming the way we work or finding new sources of value is often the difference between a company that thrives or one that falters.
Generative AI is the next technological catalyst for reinvention. Depending on how it is implemented, generative AI shapes the pace that companies pursue efficiency, innovation, improvement and reinvention. In fact, over 50% of CEOs believe that generative AI will significantly change the way their company creates, delivers and captures value over the next three years.
What influence will generative AI have on your company?
An ongoing PwC study has found that the potential impact of implementing generative AI varies considerably by industry and company, with a large impact expected in all sectors. For example, using generative AI to reengineer and automate processes at software companies could see their profit margins increasing by around 20%. While generative AI’s project value is estimated to be much lower for other industries, implementing generative AI correctly has been shown to have the potential to increase profits in all industries by several percentage points.
Even when the cost of building and running generative AI tools is factored in, the productivity gains could unlock the potential for substantial movements in market expectations. In turn, this is likely to drive further innovation, disruption and reinvention – leading to entirely new modes of value creation.
Are you ready to drive value creation forward?
PwC has the experience, business knowledge, technology expertise and alliances to help your company define and implement the right generative AI operating model for your unique situation.
We help our clients to see and understand the exploding number of potential tools and solutions that can help to unlock value with generative AI. And there are many. One of our recommended generative AI tools is Microsoft Copilot which increases efficiency by providing insights into potential situations, highlighting possible risks and improving productivity on operational tasks. For example, when an end-user calls a Customer Service department, Copilot uses intelligence predictability to follow more parameters than a trained help desk agent can handle to give a more nuanced and factual answer. This frees up help desk agents to work on real issues when they occur.
Partner Technology Consulting & Innovation, PwC Belgium
Tel: +32 495 59 08 40