Artificial Intelligence in Financial Services 2025
Page 6 of 27 · WEF_Artificial_Intelligence_in_Financial_Services_2025.pdf
Introduction
The digitalization of financial services – from the
advent of ATMs (automated teller machines) and
online banking to the widespread use of mobile apps
– transformed the industry from all perspectives:
providers, customers, employees, regulators and
other stakeholders. Artificial intelligence (AI) is poised
to have at least as profound an impact, albeit with
important differences.
The digital era started in the mid-1980s and
is broadly considered to have run for three to
four decades. AI has, in fact, been around a lot
longer; however, the introduction and widespread
adoption of generative AI (genAI) and its increased
accessibility two years ago have had a seismic
effect on technology and business. Its potential
to automate and augment tasks throughout the
operating models of most organizations quickly
established it as one of the most transformative
technologies the world has ever seen. Banking,
insurance, capital markets and payments are
among the areas in which its impact is expected
to be most pervasive (see Figure 1).
The rapid speed at which AI is maturing, however,
combined with the explosion of potential use
cases, presents a particular challenge for financial
services executives and board members. Most
have limited knowledge and experience of technology, yet they are expected to develop a
vision of how AI will change their industry, their
business and operating models, their offerings
and experiences, and their workforces. As some
early adopters of genAI are already trumpeting
their achievements, financial services leaders are
starting to feel intense pressure to strategize their
investments to seize the opportunities that are
patently on offer. At the same time, executives
will need to act immediately to defend their
systems, data and customers against a potent
new threat, while preparing to comply with a raft
of new regulations.
Never before has the industry attempted to reinvent
itself, its practices and its offerings so extensively at
such a rapid pace. This paper aims to help industry
leaders address this challenge by summarizing
the areas in which AI is likely to have the greatest
impact, the fundamental steps that are needed to
achieve this impact, and the risks posed by the
technology alongside how they might be mitigated.
By examining trends and forecasts in the industry,
the paper hopes to encourage engagement from all
parties in the future role of AI in financial services.
By promoting a better understanding of both the
potential and the risks of the technology, it seeks
to help build a foundation for the effective and
responsible application of AI for the benefit of all. Artificial intelligence continues to present
unique opportunities and challenges across
financial services, disrupting business
models, investments and the workforce.
Artificial Intelligence in Financial Services 6
The rapid
speed at which
AI is maturing,
combined with
the explosion
of potential use
cases, presents
a particular
challenge for
financial services
executives and
board members.
6
Artificial Intelligence in Financial Services
Ask AI what this page says about a topic: