Artificial Intelligence

Artificial intelligence is disrupting industries, stealing jobs, and remaking how we work and live

Our work on artificial intelligence has included quantitative surveys that assess executive tactics for implementation to large-scale investigations into the impact of AI on jobs.

According to our research, AI and supporting technologies are widely seen as a strategic investment across industries and around the world — yet most organisations are unprepared to prepare their employees and their customers for what comes next.

Examples of our research on Artificial Intelligence include:

Shopping for Artificial Intelligence: How retailers are putting AI-powered technologies to use

A new era is dawning across the retail sector, powered by artificial intelligence. Technologies like predictive analytics, chatbots, and robotic process automation - all enabled by AI - are creating fresh opportunities for growth, efficiency, and customer engagement. But many are struggling to keep up with the wave of transformation remaking the industry; the ability to adapt to an AI economy will separate the winners from the losers in the years ahead.

Oxford Economics surveyed over 300 retail executives in the United States to identify what steps retailers have taken to prepare for this AI-powered future - and what obstacles stand in their way.

Read about the adoption of AI in the retail sector

The Global CIO Point of View

Machine learning has arrived in the enterprise, and companies are eager to reap the competitive benefits the technology can provide. From automating processes that enable faster business operations to applying algorithms to improve accuracy, CIOs are adapting the technology for a wide variety of uses—and transforming the way we work.

We partnered with ServiceNow to survey 500 Chief Information Officers around the world and across industries. Our survey explored the strategies CIOs are adopting to realize value from machine learning, and the competitive advantage for organizations that are advancing to decision automation.

Learn about CIO strategies for machine learning

Shifting toward enterprise-grade AI

Artificial intelligence (AI) is moving beyond the hype cycle, as more and more organizations seek to adopt AI-related technologies. These organizations are focusing on prioritizing functional areas and use cases, placing a stronger emphasis on topline growth, taking up a renewed interest in their data infrastructure and articulating greater unease about the skills of their knowledge workers.

This report explores how they are approaching strategic imperatives, defining value drivers, building foundational capabilities and improving access to talent — as well as how their efforts could drive exponential competitive advantage.

This report explores how organizational views on AI have evolved over the last two years

The AI Paradox

Over the next decade, a great wave of technological change will wash through the economy, transforming the nature of work and the shape of the labor market. We collaborated with Cisco to study the implications of these trends on jobs over the next decade.

The Oxford Economics Skills Matching Model in this report allowed us to simulate the job moves workers will make in response to a shift in the nature of work. The findings revealed acute ICT skills shortfalls to overcome and, paradoxically, as technology becomes more capable it is "human skills" that explain much of the gap between today's workforce and the needs of the future.

Read our AI Paradox report

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