Automation drives down costs, improves agility and makes new business models practical, with a potential upside of more than tenfold improvement in efficiency. The elephant in the room, however, remains the immediate association with job replacement and the resulting rise in socio-economic gaps.
Heavy industry is one of the last frontiers of automation, but a new centre shows how robotics and AI can reshape how we build physical infrastructure.
A global automation programme guides factory-scale adoption and use-case sharing, governed by central and local digital transformation offices, with plans to establish a lighthouse factory for each product group.
What is intelligent automation? Intelligent automation is a combination of methods involving people, organizations and also technologies involving machine learning. Intelligent automation is aimed at automating end-to-end business processes on computers.
The Forum’s Future of Jobs Report 2025 examines how broadening digital access is affecting the world of work – and looks at the fastest growing and declining job roles.
AI is both an opportunity and a challenge for businesses, as outlined in the World Economic Forum's Global Risks Report 2025. The technology is rapidly reshaping CFOs' role by offering new opportunities in automation, data analytics and risk management. Six CFOs from different industries and regions offer their insights and reflections below on how financial leaders are approaching AI.
By being focussed on repetitive administrative tasks, AI agents can free up skilled workers to focus on jobs like decision-making, creativity and strategy.
Intelligent automation – a combination of AI, digital tools and robotics – is already reducing the administrative burden on healthcare workers and expanding access to more patients. Realizing the potential of intelligent automation requires the entire sector – providers, government agencies, tech companies and others – to collaborate for solutions that improve patient outcomes and ...
The Gen Z job crisis is real, but it is not inevitable. Despite widespread fear around automation, AI is more likely to amplify existing structural weaknesses, not create them. The solutions lie in boosting job creation, reforming education and training, and expanding access to pathways that reward skills, not just credentials.
The availability of data is what defines which industries are most disrupted by AI. Job-seekers must focus on opportunities that combine tech capabilities with human judgement and business needs
