Lareina Yee, Michael Chui, Roger Roberts, and Sven Smit
The global technology landscape is undergoing significant shifts, propelled by fast-moving innovations in technologies. These are exponentially increasing demand for computing power, capturing the attention of management teams and the public, and accelerating experimentation. These developments are occurring against a backdrop of rising global competition as countries and corporations race to secure leadership in producing and applying these strategic technologies. This year’s McKinsey Technology Trends Outlook provides in-depth perspectives on 13—a “baker’s dozen”—frontier technology trends with the potential to transform global business.
Executives today face a mandate to navigate rising complexity, scale emerging solutions, and build trust in a world where the lines between digital and physical and centralized and decentralized continue to blur. The insights in this report can help business leaders decide which of these frontier technologies are most relevant to their companies by demonstrating how others are starting to apply them today. These findings emerge from our analysis of quantitative measures of interest, innovation, equity investment, and talent that underpin each of the 13 trends and explore the underlying technologies, uncertainties, and questions around them.
(For more about our research, please see the sidebar, “Research methodology.”) This outlook highlights transformative trends that are driving innovation and addressing critical challenges across sectors. Artificial intelligence stands out not only as a powerful technology wave on its own but also as a foundational amplifier of the other trends. Its impact increasingly occurs via a combination with other trends, as AI both accelerates progress within individual domains and unlocks new possibilities at the intersections—accelerating the training of robots, advancing scientific discoveries in bioengineering, optimizing energy systems, and much more.
The evolution of AI solutions in the marketplace increasingly combines aspects of trends we previously analyzed separately as applied AI and generative AI, so this year, they are examined together. Even as excitement about AI applications and their use cases builds, realizing AI’s full potential across sectors will require continued innovations to manage computing intensity, reduce deployment costs, and drive infrastructure investment. This will also demand thoughtful approaches to safety, governance, and workforce adaptation, creating a wide range of opportunities for industry leaders, policymakers, and entrepreneurs alike.
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