How AI Is Rewriting the DNA of Finance

For decades, banks claim to be customer-centric. Yet many still fail to personalise their services.
Artificial intelligence (AI) is now dismantling that century-old banking model.

Rather than simply automating operations, AI is fundamentally redefining how banks understand customers, price financial products, manage risks and build long-term relationships. According to McKinsey & Company, generative AI alone could create between US$200 billion and US$340 billion in annual value for the global banking industry, largely through enhanced customer service, sales, risk management and productivity.

"The future competitive advantage will not come from selling more products," McKinsey argues, "but from delivering the right financial solution at precisely the right moment."

The era of mass banking is rapidly giving way to the age of personalised finance as AI is rewriting the DNA of finance.

The biggest disruption is not technological.It is behavioural. Consumers increasingly expect their banks to know them as well as Amazon understands shoppers or Netflix understands viewers.

Research by Accenture found that 91 per cent of consumers are more likely to shop with brands that recognise, remember and provide relevant recommendations, while 74 per cent expect organisations to understand their individual needs and expectations.

Banking customers now expect exactly the same experience.
A global survey by Salesforce found that 73 per cent of customers expect companies to understand their unique needs, while 88 per cent say that the experience a company provides is as important as its products or services.
Yet banking continues to lag behind.

According to an IDC study sponsored by SAS, 54 per cent of North American banks admit their data foundations are still neither centralised nor AI-ready, while nearly one-third continue operating with fragmented data environments.This explains why customers often receive irrelevant credit card offers despite maintaining substantial savings or are offered loans they neither need nor qualify for.

The problem is no longer a shortage of data.It is a failure to convert data into intelligence.
As Thomas Davenport, Distinguished Professor at Babson College and one of the world's leading AI experts, has repeatedly argued, "Most organisations are data rich but insight poor."

The next generation of banks will no longer wait for customers to request products. Instead, AI will anticipate financial needs before customers recognise them themselves.

Within milliseconds, AI analyses salary flows, spending habits, savings behaviour, loan repayments, investment patterns, family events and future cash-flow requirements before recommending precisely the financial solution that best matches the customer's circumstances.

This is becoming commercial reality.
According to IBM's Global AI Adoption Index, financial services remain among the world's fastest adopters of AI, particularly in customer engagement, fraud detection, credit assessment and risk management. Meanwhile, Deloitte predicts that AI-powered hyper-personalisation will become one of the defining competitive differentiators in retail banking during this decade.

According to PwC's Global AI Study, AI could contribute US$15.7 trillion to the global economy by 2030, with financial services expected to capture one of the largest shares through productivity gains and customer innovation.
For banks, AI is rapidly shifting competition from products to relationships.

Trust Will Decide the Winners
Despite remarkable technological progress, many banks remain trapped in pilot projects.
According to the SAS-IDC study, only around 4 per cent of North American banks have achieved fully optimised enterprise-wide data environments capable of supporting AI-driven personalisation at scale. Technology is not the biggest obstacle.Organisational culture is.

Legacy systems, departmental silos and fragmented governance continue preventing banks from delivering seamless customer experiences.

According to World Economic Forum, trust has become the defining currency of the digital economy.Consumers increasingly expect AI systems to be transparent, secure, explainable and fair.

That means compliance can no longer operate as a final checkpoint. Leading global banks are embedding governance, encryption, tokenisation and regulatory controls directly into AI decision engines, allowing thousands of personalised decisions to remain fully compliant in real time.

As JPMorgan Chase CEO Jamie Dimon recently observed, AI has the potential to transform virtually every aspect of banking�"from customer service and fraud detection to software engineering and risk management�"but institutions must implement it responsibly and ethically.

Human judgement therefore becomes more valuable�"not less.Routine decisions will increasingly be automated.Complex advice, relationship management, ethical oversight and strategic decision-making will remain fundamentally human.
As Microsoft Chairman and CEO Satya Nadella has argued, AI should be viewed as "a co-pilot rather than an autopilot."That philosophy is rapidly becoming banking's operating model.

Bangladesh Cannot Afford to Miss This Revolution
Artificial intelligence is reshaping banking by replacing broad customer segmentation with real-time hyper-personalisation. By anticipating individual customer needs and delivering tailored financial solutions, AI enhances customer experience, loyalty and profitability.

The implications for Bangladesh's banking sector are profound.

The country has made impressive progress in mobile financial services, QR payments, agent banking and digital financial inclusion. Yet many banks still operate with fragmented legacy infrastructure that limits enterprise-wide AI deployment.

As Bangladesh prepares for a more competitive post-LDC economy, digital banking alone will no longer be enough.Banks must build unified customer data platforms, dismantle organisational silos, modernise legacy technology and invest in responsible AI governance.

Those that continue treating customers as demographic categories will steadily lose ground to AI-native banks and fintech firms capable of delivering real-time, personalised financial experiences.

The winners of the next decade will not necessarily be those with the biggest balance sheets or the largest branch networks.They will be the institutions capable of transforming billions of data points into millions of intelligent, trusted and meaningful conversations.

In the industrial era, banking competed on scale.In the digital era, it competed on data.

In the AI era, competitive advantage will belong to institutions that earn anticipatory trust�"understanding what customers need before they ask, delivering it instantly, and doing so transparently, securely and responsibly.

That is more than a technological revolution.It is the birth of an entirely new banking paradigm.