The world of business stands at a crossroads. While there is general agreement that its impact on business will resemble that of previous General Purpose Technologies like electricity or the internet, business leaders are overwhelmed by the noise around Artificial Intelligence and struggling to make complex decisions after the initial experimentation phases. Now is the time to identify which previously advocated strategic principles still hold when deciding on growth and innovation, and what are the relevant value drivers in the era of AI. Artificial Intelligence: Rethinking Business Strategy discusses how to use foresight techniques to help detect the signposts for future change and prepare for better exploitation of AI opportunities. It explores how to navigate the uncertainty about AI’s global regulation and supervision, standards and gatekeepers, speed of adoption and interrelated technological solutions as well as changes in geopolitical power dynamics. With the use of real-life examples, Teresa Martín-Retortillo defines plausible scenarios that will undoubtedly be a valuable compass for business leaders trying to distinguish noise from signals. Business and technical professionals in leadership positions, executives, product and project managers as well as policymakers will benefit immensely from this book’s exploration of future strategies that will hereon be required to generate sustainable value creation for businesses and for society.

The world of business stands at a crossroads. While there is general agreement that its impact on business will resemble that of previous General Purpose Technologies like electricity or the internet, business leaders are overwhelmed by the noise around Artificial Intelligence and struggling to make complex decisions after the initial experimentation phases. Now is the time to identify which previously advocated strategic principles still hold when deciding on growth and innovation, and what are the relevant value drivers in the era of AI. Artificial Intelligence: Rethinking Business Strategy discusses how to use foresight techniques to help detect the signposts for future change and prepare for better exploitation of AI opportunities. It explores how to navigate the uncertainty about AI’s global regulation and supervision, standards and gatekeepers, speed of adoption and interrelated technological solutions as well as changes in geopolitical power dynamics. With the use of real-life examples, Teresa Martín-Retortillo defines plausible scenarios that will undoubtedly be a valuable compass for business leaders trying to distinguish noise from signals. Business and technical professionals in leadership positions, executives, product and project managers as well as policymakers will benefit immensely from this book’s exploration of future strategies that will hereon be required to generate sustainable value creation for businesses and for society.