Future in the balance? How countries are pursuing an AI advantage has been saved
Future in the balance? How countries are pursuing an AI advantage
Insights from Deloitte’s State of AI in the Enterprise, 2nd Edition survey
Authors: Jeff Loucks (US), Susanne Hupfer (US), David Jarvis (US) & Timothy Murphy (US)
Companies around the globe, boosted by countries’ various strategies, have worked to implement AI practices. Our survey suggests what early adopters have learned—and how leaders can learn from their AI experiences.
With leaders increasingly seeing artificial intelligence (AI) as helping to drive the next great economic expansion, a fear of missing out is spreading around the globe. Numerous nations have developed AI strategies to advance their capabilities, through investment, incentives, talent development, and risk management. As AI’s importance to the next generation of technology grows, many leaders are worried that they will be left behind and not share in the gains.
We aimed to measure the global pulse of AI through our State of AI in the Enterprise, 2nd Edition survey, which you can explore in more detail in the full-length article Future in the balance?
In analyzing this year’s survey results, we uncovered four key insights from companies that are early adopters of AI (prototyping or implementing AI solutions) in seven countries:
There is a growing realization of AI’s importance, including its ability to provide competitive advantage and change work for the better. A majority of global early adopters say that AI technologies are especially important to their business success today—a belief that is increasing. A majority also say they are using AI technologies to move ahead of their competition, and that AI empowers their workforce.
AI success depends on getting execution right. Organizations often must excel at a wide range of practices to ensure AI success, including developing a strategy, pursuing the right use cases, building a data foundation, and cultivating a strong ability to experiment. These capabilities are critical now because, as AI becomes even easier to consume, the window for competitive differentiation will likely shrink.
Early adopters from different countries display varying levels of AI maturity. Enthusiasm and experience vary among early adopters from different countries. Some are pursuing AI vigorously, while others are taking a more cautious approach. In some cases, adopters are employing AI to improve specific processes and products; others are harnessing AI to transform their entire organization.
Regardless of countries’ AI maturity level, we can learn from their approaches. By examining countries’ challenges and how companies are addressing them, we can glean some essential leading practices. For example, leaders in some countries are more concerned about addressing skill gaps. Others are focusing on how AI can improve decision-making or cybersecurity capabilities.
There are many paths to AI excellence, and success is not a winner-takes-all proposition. Examining early AI adopters through a global lens can enable a broader perspective. By doing so, leaders can take a more balanced approach on their AI-powered journey.