AI Adoption in Banking: Transforming Customer-Centric Innovation for Long-Term Success
AI Adoption in Banking: Transforming Customer-Centric Innovation for Long-Term Success
By Alex Adamopoulos, Chairman and Chief Executive Officer, Emergn
AI adoption in the banking sector is not just another hype technology; it’s a pivotal shift towards customer-centric innovation. In 2020, even before the advent of ChatGPT, the Economist Intelligence Unit conducted a survey, revealing that 77% of bankers already believed that the ability to harness AI would be the determining factor for a bank’s success or failure. Fast forward to July 2023, and Evident AI’s Innovation Report shows that AI research across banks and payment providers grew 70% from 2017-2022. Remarkably, 23 of the world’s largest banks employ 650 AI researchers between them, with 40% of them joining since the start of 2022.
Recent launches like Amazon Code Whisperer are driving innovation by eliminating tedious coding tasks and streamlining the process of working with unfamiliar APIs. Similarly, GitHub Copilot equips engineering teams with generative AI, boosting the speed of software development and promoting innovative thinking. Emergn’s own survey reveals that by 2028, a staggering 94% of new digital products and services will have been created using AI. Our mission aligns with AI’s promise – improving how people and companies work forever.
However, it’s crucial to recognise that AI adoption is not merely about integrating new technologies into the banking landscape; it’s about delivering tangible outcomes for both the financial institutions and their customers. In other words, the true essence of innovation in banking lies in its ability to cater to the ever-evolving needs and preferences of customers, ultimately enhancing the banking experience and ensuring long-term success in an increasingly competitive industry.
Financial services have gone through a massive process of disruption – for example, with new wallet buddies Monzo and Revolut entering the game – and the industry knows it needs to adapt and create better, digital-first experiences for customers. AI is fundamental to that revolution.
The approach from banks frequently leans toward acquisition, exemplified by instances like JP Morgan’s investment in Nutmeg. While acquisitions offer short-term gains through quick tech integration, they often overshadow the necessity of cultivating an internal culture of innovation. Achieving a balance between acquiring external expertise and nurturing internal talent is crucial for banks to thrive in the dynamic tech landscape, ensuring both immediate benefits and sustainable, long-term competitiveness.
Furthermore, banks must shift their focus from merely embracing new technologies like AI to a more profound consideration of the tangible issues they aim to resolve. It requires a critical examination of the AI use cases, understanding the genuine needs of their customers, and a concerted effort to streamline their operations. The challenge associated with cutting-edge AI capabilities often lies in their limited transparency and interpretability. Users seek insights into the decision-making process, and when technology falls short in this regard, its potential applications become restricted, particularly in trust-sensitive industries like healthcare and finance. Trusting the decisions of systems that operate in obscurity and elude comprehension can be a daunting task.
Emergn’s latest survey also reveals that the path to innovation is often hindered by a few concerning trends: an overwhelming 80% of respondents express apprehension about the inhibitive nature of ‘rule by committee,’ which hampers decision-making and introduces an excess of decision-makers into the innovation process. Additionally, one-third of respondents highlight their organisations’ disregard for experimentation, perpetuating an atmosphere of apprehension. To foster sustainable, long-term growth, it is imperative to nurture a culture that encourages employees to think creatively and take calculated risks, free from the constraints of committees.
In the pursuit of sustained growth, companies must concentrate on key factors that underpin their success. When it comes to the adoption of AI, our research underscores several critical elements that demand attention. Data privacy, with a substantial 71% consensus, emerges as a top priority, reflecting the growing concern for controlling sensitive information in an era of heightened digitalisation. Accuracy, coming in at a close second with 70% agreement, is vital for delivering credible and reliable results, essential for building trust and credibility. Moreover, scalability, acknowledged by 60% of respondents, is a pivotal consideration, as it allows companies to expand and accelerate their operations while preserving product quality and service efficiency. These key pillars lay the foundation for effective AI integration, empowering businesses to navigate the evolving landscape of technology and ensure long-term success in the ever-changing business landscape.
It is an exciting era for the banking industry. However, just chasing technology will not yield the desired results. A holistic approach that is principle-driven and customer-centric, focusing on outcomes and internal culture, will pave the way for genuine, transformative innovation.