Your Money Just Got Smarter: How AI Is Quietly Rewriting The Rules Of Finance For Everyone

By Dario Schiraldi Artificial intelligence (AI) is rapidly transforming how individuals and institutions manage money in a world that's becoming increasingly driven by data. From personal finance apps that track your spending habits to sophisticated algorithms that drive billion-dollar investment decisions, AI is quietly reshaping financial ecosystems. But this isn’t just about automation — it’s about making your money work smarter, harder, and safer. The intersection of finance and technology is making wealth management more democratised and creating new avenues for more intelligent, efficient financial choices. Advice à la Carte at Scale Historically, financial advice was kept for those who could afford to pay wealth managers. AI has turned that on its head. Robo-advisors such as Betterment and Wealthfront utilise algorithms to construct tailored investment portfolios tailored to your risk tolerance, age, and financial objectives. These tools provide 24/7 access to financial planning without the high fees charged by human advisors. Machine learning helps refine recommendations over time as your behaviour or external market conditions change. Benefit: Financial literacy and planning tools are now accessible to millions, making smart financial decision-making a reality for more people than ever before. Smarter Spending and Saving with AI-Powered Apps Artificial intelligence is assisting users in creating healthier money habits through transaction analysis and pattern identification. Applications such as Cleo, YNAB (You Need A Budget), and Plum utilise AI to automate spending categorisation, send reminders, and even dispense cleverly worded nudges to avoid overspending. Predictive analytics assist users in avoiding overdrafts by predicting cash flows and proposing actions to maximise savings. Round-up functionality automatically invests spare change into diversified portfolios. Benefit: Regular consumers are gaining the ability to manage their finances in real time, with minimal effort or expertise. Improved Fraud Detection and Security Perhaps the most significant application of AI in finance is its capacity to identify anomalies and stop fraud in real time. Machine learning algorithms highlight suspicious transactions by comparing them against previous patterns and peer groupings. AI dynamically learns and improves, with a better protection mechanism compared to rigid rule-based systems. Banks such as JPMorgan and Citi already use AI technology to minimise false positives and detect fraud earlier. Benefit: Businesses and consumers get better protection against financial crime, frequently without even knowing the technology in the background. AI-Driven Credit Scoring Standard credit scoring frameworks have been accused of being narrow and discriminatory. AI is levelling the playing field. Fintech companies are leveraging alternative data points, including mobile bill payments, digital activity, and gig economy wages, to measure creditworthiness. AI models can calculate risk in real-time, allowing for faster loan approvals and more diverse financial services. Lenders are now better able to make informed risk decisions, minimising default rates while offering credit to underbanked populations. Benefit: More individuals, particularly in emerging markets, have access to loans, mortgages, and credit products with AI-powered underwriting. Algorithmic Trading and Wealth Accumulation AI has revolutionised the investing world. Hedge funds and individual traders employ AI to scan enormous data sets — news stories, earnings releases, sentiment on social media — to forecast stock action. High-frequency trading platforms employ AI to make trades in milliseconds, reacting quicker than any human. Individual platforms such as Robinhood and Zerodha employ AI for recommendation systems and market intelligence. Benefit: Individual investors can now use very effective tools that provide a level playing field with institutional investors. Virtual Assistants and Conversational Banking Chatbots based on artificial intelligence are now a standard part of banking apps. Virtual assistants such as Erica (Bank of America) or Google Pay's AI assistance provide customised financial advice through straightforward conversations. These platforms deal with customer inquiries, assist with payment scheduling, review expenses, and even provide investment advice. Benefit: Customers receive smart, real-time financial assistance without the need to dial or go to a bank branch. The Future of Financial Intelligence AI is no longer a science fiction extra — it's at the centre of making, keeping, investing, and safeguarding money. As it develops, we can anticipate even more individualised and proactive financial activity. Yet it's important to harmonise innovation with moral concerns like data protection, algorithmic bias, and regulatory approach. In the coming years, y

Jun 7, 2025 - 07:30
 0
Your Money Just Got Smarter: How AI Is Quietly Rewriting The Rules Of Finance For Everyone

By Dario Schiraldi

Artificial intelligence (AI) is rapidly transforming how individuals and institutions manage money in a world that's becoming increasingly driven by data. From personal finance apps that track your spending habits to sophisticated algorithms that drive billion-dollar investment decisions, AI is quietly reshaping financial ecosystems. But this isn’t just about automation — it’s about making your money work smarter, harder, and safer. The intersection of finance and technology is making wealth management more democratised and creating new avenues for more intelligent, efficient financial choices.

Advice à la Carte at Scale

Historically, financial advice was kept for those who could afford to pay wealth managers. AI has turned that on its head.

Robo-advisors such as Betterment and Wealthfront utilise algorithms to construct tailored investment portfolios tailored to your risk tolerance, age, and financial objectives.

These tools provide 24/7 access to financial planning without the high fees charged by human advisors.

Machine learning helps refine recommendations over time as your behaviour or external market conditions change.

Benefit: Financial literacy and planning tools are now accessible to millions, making smart financial decision-making a reality for more people than ever before.

Smarter Spending and Saving with AI-Powered Apps

Artificial intelligence is assisting users in creating healthier money habits through transaction analysis and pattern identification.

Applications such as Cleo, YNAB (You Need A Budget), and Plum utilise AI to automate spending categorisation, send reminders, and even dispense cleverly worded nudges to avoid overspending.

Predictive analytics assist users in avoiding overdrafts by predicting cash flows and proposing actions to maximise savings.

Round-up functionality automatically invests spare change into diversified portfolios.

Benefit: Regular consumers are gaining the ability to manage their finances in real time, with minimal effort or expertise.

Improved Fraud Detection and Security

Perhaps the most significant application of AI in finance is its capacity to identify anomalies and stop fraud in real time.

Machine learning algorithms highlight suspicious transactions by comparing them against previous patterns and peer groupings.

AI dynamically learns and improves, with a better protection mechanism compared to rigid rule-based systems.

Banks such as JPMorgan and Citi already use AI technology to minimise false positives and detect fraud earlier.

Benefit: Businesses and consumers get better protection against financial crime, frequently without even knowing the technology in the background.

AI-Driven Credit Scoring

Standard credit scoring frameworks have been accused of being narrow and discriminatory. AI is levelling the playing field.

Fintech companies are leveraging alternative data points, including mobile bill payments, digital activity, and gig economy wages, to measure creditworthiness.

AI models can calculate risk in real-time, allowing for faster loan approvals and more diverse financial services.

Lenders are now better able to make informed risk decisions, minimising default rates while offering credit to underbanked populations.

Benefit: More individuals, particularly in emerging markets, have access to loans, mortgages, and credit products with AI-powered underwriting.

Algorithmic Trading and Wealth Accumulation

AI has revolutionised the investing world.

Hedge funds and individual traders employ AI to scan enormous data sets — news stories, earnings releases, sentiment on social media — to forecast stock action.

High-frequency trading platforms employ AI to make trades in milliseconds, reacting quicker than any human.

Individual platforms such as Robinhood and Zerodha employ AI for recommendation systems and market intelligence.

Benefit: Individual investors can now use very effective tools that provide a level playing field with institutional investors.

Virtual Assistants and Conversational Banking

Chatbots based on artificial intelligence are now a standard part of banking apps.

Virtual assistants such as Erica (Bank of America) or Google Pay's AI assistance provide customised financial advice through straightforward conversations.

These platforms deal with customer inquiries, assist with payment scheduling, review expenses, and even provide investment advice.

Benefit: Customers receive smart, real-time financial assistance without the need to dial or go to a bank branch.

The Future of Financial Intelligence

AI is no longer a science fiction extra — it's at the centre of making, keeping, investing, and safeguarding money. As it develops, we can anticipate even more individualised and proactive financial activity. Yet it's important to harmonise innovation with moral concerns like data protection, algorithmic bias, and regulatory approach.

In the coming years, your money won't lie idle in accounts — it will actually learn, evolve, and increase in tandem with you. Financial power is no longer an exception, but a soon-to-be norm, thanks to AI.

(The author is a former Deutsche Bank Managing Director and CEO of VIDA Holding)

Disclaimer: The opinions, beliefs, and views expressed by the various authors and forum participants on this website are personal and do not reflect the opinions, beliefs, and views of ABP Network Pvt. Ltd.

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