OE Logo
Consulting Report
23 Jul 2024

Impact AI: Enterprise AI Maturity Index 2024

In collaboration with ServiceNow

Companies, non-profit organizations, and governments face one of the most significant inflection points in the history of technology. The hype surrounding artificial intelligence—a group of technologies including machine learning, natural language processing, computer vision and decision-making algorithms, as well as the large language models that power generative AI applications—echoes the promises of the internet, cloud computing, and mobile apps.

The stakes are high. Although the race to put AI to work is still in its earliest stages, some organizations have had a head start on AI adoption, integration, and modification. Those that have yet to do so must act now. There’s still ample time to capitalize on AI’s potential. The question most organizations are grappling with is “how?” What are the early leaders in this race doing that sets them apart?

To find out how executives are plotting their next moves, Oxford Economics and ServiceNow fielded a global survey of 4,470 executives at organizations where artificial intelligence capabilities are in use. We created a novel index to measure performance across five key pillars of AI maturity, and the resulting Enterprise AI Maturity Index underscores that AI use is still nascent.

The experts behind the research

Our Economic Consulting and Thought Leadership teams are world leaders in quantitative economic analysis and original, evidence-based research, working with clients around the globe and across sectors to build models, forecast markets, run extensive surveys, and evaluate interventions using state-of-the art techniques. Lead consultants on this project were:

Anubhav Mohanty

Associate Director, Economic Consulting

Matthew Reynolds

Senior Research Manager, Thought Leadership

Bianca Fisher

Research Associate, Thought Leadership

  • Share:

You might be interested in

AI Geopolitics 2030

AI Geopolitics 2030

The first KPMG Strategic AI Capability Index (SACI) provides a comparative, evidence-based assessment of how the world’s leading regions in the race for AI leadership (the United States, Europe, and China) are positioned to develop, scale, and govern artificial intelligence. The analysis is complemented by a detailed view of Europe’s internal sub-regions.
Davos 2026 Debrief: AI competitiveness hinges on scale and sovereignty

Davos 2026 Debrief: AI competitiveness hinges on scale and sovereignty

As heads of state at the World Economic Forum in Davos last Tuesday focused on geopolitics, business leaders at the nearby AI House were speaking about separate yet interwoven imperatives: AI scalability and sovereignty.
Japan’s digital paradox: Why SMEs are the missing link to its next wave of growth

Japan’s digital paradox: Why SMEs are the missing link to its next wave of growth

Japan is famous for its bullet trains, robots, and precision manufacturing, but step into many offices and you’ll find paper forms, hanko stamps, and a fax machine.
Are humanoid robots creepy?

Are humanoid robots creepy?

Some very smart people are betting that machines shaped like humans will do much of our household and factory work for us in the near-ish future. But hurdles remain.