Banks and Insurance Companies Expect 86% Increase in AI-related Investments into Technology By 2025, According to New Research by The Economist Intelligence Unit

While AI is not widely in use by most financial institutions, new research by The Economist Intelligence Unit shows 86% of banks and insurance companies plan to increase AI-related investment into technology by 2025

SUNNYVALE, Calif. — June 2, 2020 — AI is set to shape the future of the banking and insurance ecosystem, according to a new report commissioned by ThoughtSpot, the leader in search and AI-driven analytics. The report, “The Road Ahead: Artificial Intelligence and the Future of Financial Services,” conducted by The Economist Intelligence Unit (EIU), analyzes the sentiments of 200 business executives and C-suite leaders at investment banks, retail banks, and insurance companies in North America, Europe, and Asia Pacific.

The study found that while there is a strong degree of confidence in the benefits of AI, the reality is that the technology is not largely in use: more than half of respondents say AI is not incorporated into their business’s processes and offerings, with only 15% saying the technology is used extensively across the organization. However, the benefits that have already emerged combined with respondents’ plans to double down on AI investment in the short-term show this technology is slated to drive a massive wave of future growth for the financial services industry.

AI Drives New Growth for Financial Services

Banks and insurance companies perceive AI as critical to unlocking new growth opportunities and reducing costs. Respondents were clear AI will transform their business in a number of ways over the next five years, including spurring new products and services (27%), opening up new markets or industries (25%), and paving the way for innovation (25%). About one-third (29%) of respondents expect between 51% and 75% of their workloads to be supported by AI technologies in five years’ time.

In addition to driving future growth, AI technologies promise significant savings both today and in the future: 37% of respondents report that their organization has reduced operational costs as a result of AI adoption and use, and another 34% predict that AI will lower their cost base over the next five years. When it comes to other benefits of AI, one-third of respondents each reported a greater use of predictive analytics (34%), increased employee capacity to handle workload volume (33%), and enhanced customer service and satisfaction (32%).

The Path Forward: Upskilling The Frontline Workers

Despite relatively slow adoption rates to date, the promise of AI holds clear with 86% of respondents saying they plan to increase AI-related investments into the technology over the next five years. However, greater AI adoption will ultimately be driven by how much financial services organizations invest into upskilling their workforce. This upskilling across the organization is required to get real value from democratizing insights.

According to the data, the industry is at a halfway point when it comes to upskilling their employees, with 49% of respondents saying training initiatives for employees to better understand AI are currently in place. Another 42% have plans to implement such training.

“We’re already seeing the massive impact AI is having on financial institutions’ businesses by reducing costs, but more importantly, driving new growth. The rapidly rising AI adoption and training rates are a clear precursor of the AI revolution that is set to unfold over the next five years,” said Sudheesh Nair, CEO of ThoughtSpot. “AI is the new growth engine, and the key to unlocking its potential requires investing in talent. Financial services companies must train and reskill employees to capitalize on the productivity and innovation gains made possible by AI.”

“AI has the potential to truly transform the banking and insurance industries,” said Dr. Katya Kocourek, Managing Editor, Thought Leadership at The Economist Group. “The research shows the strides that are already underway and the path forward that will boost the industry to the next phase of AI adoption. Like any potentially transformational technology, it will not be a path without risks, but the impact on the future of banking and insurance is clear and promises to deliver a world of value.”

Investment Banks, Retail Banks, and APAC Firms Emerge as AI Leaders

Investment banks are deploying a higher volume of new AI applications on average when compared  to their retail bank and insurance peers. They are also the most advanced when it comes to the implementation of training programs: 54% say they have already implemented training initiatives, compared with 46% in insurance and 48% in retail banks. Additionally, investment banks are most likely to use machine learning (63%) and image analysis (52%), whereas retail banks are more heavily tapping predictive analytics (71%) and virtual assistants (61%) within their organizations.

The report also found that banks and insurers in the APAC region are trendsetters when it comes to adoption, training and measurement. Sixty-one percent of all APAC respondents reported that half or more of their workload is supported by AI, compared with North America and Europe (both at 41%). Europe’s low usage rate is partly a reporting problem: almost 10% of European respondents either had no metrics to measure AI-application success, or they had not been measured for long enough to report on. By way of contrast, all APAC respondents had functional reporting metrics. Notably, APAC prioritizes reskilling and training initiatives, with 75% of APAC respondents in this region expecting an increased investment in people over the next five years to learn more AI skills and arm them with resources compared to 59% in North America 37% in Europe.

The APAC and North Americans regions expressed the strongest optimism regarding plans for AI-related investment into technology: 90% of APAC and 89% of North American respondents say they plan to invest over the next five years, compared with 75% of European respondents. 

Challenges to Overcome

While the long term outlook for AI in financial services is bright, organizations do have concerns in realizing those benefits. The research found 40% of organizations cite risk, specifically security as the greatest area of concern, more so than cost (39%), insufficient infrastructure (29%), and poor data quality (28%).

Only half (52%) are confident about their preparedness to address AI-associated risks like security, and 55% have developed policies, procedures and oversight processes for AI-based automation, highlighting the need to invest in solutions and policies that protect governance and security while mitigating.

 To read the full report, visit ThoughtSpot.com.

 Methodology

The Road Ahead: Artificial Intelligence and the Future of Financial Services for banks and insurers is an Economist Intelligence Unit (EIU) report, sponsored by ThoughtSpot Inc. The report analyses the results from a survey of 200 business executives and C-suite managers, covering both Information Technology (IT) and non-IT functions, at insurance companies, investment and retail banks. The survey looked at where and to what degree artificial intelligence (AI) technologies are being adopted within this segment of Financial Services, how these institutions measure its success, what the impediments to progress were, and how these were being addressed. Ultimately, both through the survey and through interviews with leading experts, we sought to determine how these changes are likely to shape the financial services industry in the coming years.

About ThoughtSpot

The world’s most innovative enterprises use ThoughtSpot to empower every person in their organization, from C-suite executive to front-line employee, with the ability to quickly uncover data-driven insights. With ThoughtSpot, business people can type a simple search to instantly analyze billions of rows of data, and leverage artificial intelligence to get trusted, relevant insights pushed to them as answers to thousands of questions they might not have thought to ask. ThoughtSpot is simple enough for any business person to use, yet powerful enough to handle even the largest, most complex enterprise data without sacrificing speed, security, or governance. That’s why customers like Walmart, 7-11, BT, Daimler, Exxon, Hulu, Royal Bank of Canada, Bank of the West, and Nationwide Building Society have turned to ThoughtSpot to transform their decision-making cultures and analyst firm Gartner named ThoughtSpot a Leader in the 2020 Magic Quadrant. By making insights a part of every conversation and every decision, ThoughtSpot is reimagining the role of data in creating a more fact-driven world. For more information, please visit www.thoughtspot.com. 

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