Banks that were slow to embrace automation are now quick to adopt new artificial intelligence (AI) tools in middle office functions with clear endpoints—for example, in compliance reporting, advisory services, and fraud detection, while also automating the most basic tasks and creating demand for AI specialists, in general, in the process, to fill new positions and support existing ones.
Executives are already comparing this AI-enabled productivity bonus to the spreadsheet revolution of the 1980s, albeit with far-reaching implications for the financial sector, in general, and not only for the analysts using the AI tools.
Where is the biggest efficiency gain being made?
In both insurance and banking, the biggest efficiency gains are being made in regulatory reporting, where natural language tools help reduce the documentation burden, and in predictive modeling, which in turn makes risk pricing and fraud identification more efficient—if challenging to quantify, given the differing figures reported by individual companies, with no third parties evaluating any of the claims.
Meanwhile, the need for human oversight of AI is skyrocketing, as companies are rushing to hire data scientists and prompt engineers while also devoting resources, both financial and human, to training their staff to be able to audit AI performance, as there are still tasks that only humans can perform, at least for the time being.
How are regulators reacting to the rapid changes?
As expected, the regulators are already taking action, both in the UK, where new disclosure requirements are being proposed, and inside the US, where the relevant authorities have already earmarked specific resources for the purpose—but it is unclear how far the harmony of regulation will go, given the potential complications for multinational corporations operating under several jurisdictions.
How do employees feel about the prospect of greater AI integration?
Although there is a perceived threat to the white-collar jobs as a whole, for the time being, the reality is that most of the employees interacting with AI tools on a daily basis are in favor of the increased productivity, as it allows them to focus on the more interesting and complex tasks offered by clients, as the routine and tedious operations are delegated to AI—and it remains to be seen how the situation will develop for the back-office workers, as the automation takes over the most basic functions, rendering them unnecessary.
With the disruption of the middle and back offices underway, does AI present an existential threat to the jobs of financial-sector workers?
At least for the time being, it seems that the integration of AI into the daily operations of the financial sector only reduces the workloads of the employees without eliminating jobs, replacing certain aspects of employees' working functions with automation while also transforming the industry's needs in terms of staffing, which may raise questions for the workers in the affected capacities, as the companies using AI tools promise to retain only those workers who are able to perform the tasks that cannot be automated—but it is unclear how the increased reliance on AI will impact the overall employment outlook for the workers in the financial industry in the long run, as well as whether the companies retaining human workers will be able to deliver on their promises concerning the transformation of the roles.