AI Opportunity Index

A quantitative assessment of AI opportunity in the US
Munir Mandviwalla, Detmar Straub, Ziyi (Iggy) Zhao

The AI Opportunity Index (AIOI) is a groundbreaking metric developed by Temple University’s Institute for Business and Information Technology to quantify organizational AI opportunity.

AIOI measures the structuredness and availability of data and processes – the two fundamental elements required for successful AI implementation.

AIOI follows the journey of Frederick Taylor’s scientific management principles which he developed at Philadelphia’s Midvale Steel to today’s AI revolution to highlight that AI implementation depends on data and processes.

Sample Findings

• Information and Finance sectors show the highest AIOI, indicating greater AI short term opportunity, while Agriculture, Education, and Public Administration show lower short term AI opportunity.
• Significant variations exist both between and within industries
• Each sector exhibits AIOI Leaders and Laggards

AI Strategy

AIOI provides a two-pronged strategic approach

• Seize now – areas with high data and process structuredness
• Cultivate later – areas with high future potential

Organizational take aways

• Benchmark AI opportunity
• Identify specific areas for immediate AI implementation
• Guide strategic investments in data and process
• Make informed decisions about AI adoption timing and scope

AIOI provides a tool for organizations navigating the complex landscape of AI implementation, providing quantitative insights to guide strategic decision-making and investment in AI initiatives.

AI Expert Panel

Thanks to the IBIT AI expert panel for assessing the importance of technologies for AI implementation.

• Maria Calvanese
• Craig Conway
• Michelle Dy-Reyes
• Rich Flanagan
• Ahmed Hosny
• Michael Luckenbill
• Pablo Mora
• Ryan Oliveira
• Rhea Prabhu
• David Yastremsky
• Durga Yeluri

Coming Soon

• Complete industry sector analysis
• AIOI firm scorecard
• Benchmarking tools
• Interactive dashboard

Acknowledgements

Thanks to the Society for Information Management, Advanced Practices Council for inviting and funding us to present our preliminary findings at the Advanced Practices Council meeting on February 13, 2025, Atlanta, Georgia.

More information

Please contact ibit@temple.edu