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Transforming Paradigms: A Global AI in Financial Services Survey

Ryll, Lukas; Emma Barton, Mary; Zheng Zhang, Bryan; Jesse McWaters, R.; Schizas, Emmanuel; Hao, Rui; Bear, Keith; Preziuso, Massimo; Seger, Elizabeth; Wardrop, Robert; Raghavendra Rau, P.; Debata, Pradeep; Rowan, Philip; Adams, Nicola; Gray, Mia; Yerolemou, Nikos

Authors

Lukas Ryll

Mary Emma Barton

Bryan Zheng Zhang

R. Jesse McWaters

Emmanuel Schizas

Rui Hao

Keith Bear

Elizabeth Seger

Robert Wardrop

P. Raghavendra Rau

Pradeep Debata

Philip Rowan

Nicola Adams

Mia Gray

Nikos Yerolemou



Abstract

This report presents the findings of a global survey on AI in Financial Services jointly conducted by the Cambridge Centre for Alternative Finance (CCAF) at the University of Cambridge Judge Business School and the World Economic Forum in Q2-Q3 2019. Representing one of the largest global empirical studies on AI in Financial Services, a total of 151 respondents from 33 countries participated in the survey, including both FinTechs (54% of the sample) and incumbent financial institutions (46% of the sample). The study was supported by EY and Invesco. The study’s objective was to analyse and understand the current state of AI adoption in Financial Services, as well as its subsequent implications. This was done through the comparative analysis of empirical data collected via a web-based questionnaire.

This research provides a comprehensive picture of how AI is currently being applied in Financial Services by both FinTechs and Incumbents; driving different business models; underpinning new products and services; and playing a strategic role in digital transformation. The findings also reveal how financial service providers across the globe are meeting the challenges of AI adoption with its emerging risks and regulatory implications, as well as the impact of AI on the competitive landscape and employment levels.

The overarching findings of the study suggest that AI is expected to transform a number of different paradigms within the Financial Services industry. These anticipated changes include how data is utilised to generate more actionable insights; business model innovation (e.g., selling AI as a service); changes to the competitive environment with the entrance of ‘Big Tech’ and consolidation; various impacts on jobs and regulation; impacts on risks and biases; and the further development and adoption of game-changing technologies.

Citation

Ryll, L., Emma Barton, M., Zheng Zhang, B., Jesse McWaters, R., Schizas, E., Hao, R., …Yerolemou, N. (2020). Transforming Paradigms: A Global AI in Financial Services Survey. World Economic Forum

Report Type Research Report
Online Publication Date Feb 1, 2020
Publication Date 2020-02
Deposit Date Oct 19, 2023
DOI https://doi.org/10.2139/ssrn.3532038
Keywords Pharmacology (medical)