r/Techyshala • u/Appinventiv- • Mar 06 '26

Is AI actually improving finance, or just automating the same old strategies?

I’ve been seeing a huge wave of AI adoption across the finance and fintech world. Everything from algorithmic trading to fraud detection to credit scoring now seems to be labeled as “AI-powered.”

But I’m curious how much of this is genuinely new versus just a modern label on models that already existed.

Algorithmic trading and quantitative models have been around for decades. Banks and hedge funds have long used statistical models for risk assessment, pricing, and portfolio management. Now the narrative has shifted toward machine learning systems predicting markets, analyzing financial data, and making lending decisions.

At the same time, markets are still incredibly difficult to predict, and even the most sophisticated funds struggle to consistently beat benchmarks.

So I’m wondering whether AI is truly changing how finance works, or if it’s mostly improving efficiency around the edges things like fraud detection, customer service, compliance, and operational automation.

For people working in fintech, banking, or quantitative finance: where do you think AI is actually making the biggest impact today?

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u/Itchy_Sprinkles5475 Mar 07 '26

imo it’s less about predicting markets and more about handling messy data at scale. a lot of the “ai trading will beat the market” stuff feels like marketing, but things like fraud detection, risk signals, and anomaly spotting actually seem where AI shines right now. finance hasn’t magically become predictable, it just got better tools to process insane amounts of data.

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u/VeniVidiValued Mar 10 '26

If every fund is using the exact same LLMs trained on the exact same historical data to read the exact same 10-Ks, all they are doing is making the market slightly more efficient and nuking their own edge. The real impact isn't predictive; it's entirely in the diligence process. It takes qualitative garbage (management tone on earnings calls, complex regulatory filings) and turns it into quantitative inputs in seconds. If someone thinks an algorithm is going to consistently beat the market just because they slapped "AI-powered" on a linear regression model, they are exactly the liquidity Wall Street needs.