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The recent advances in AI  are forecast to have a major impact on the global economy, with opportunities for disruption across the board. We’re particularly interested in the impact of AI on FinTech – how we spend, save, move, plan & think about money. Finance is a massive part of the global economy, up to 30% by some estimates and also one of the quickest to adopt new technologies so a space where the impact of AI may be seen first.

During the 2010’s we saw a wave of FinTech startups revolutionising the space with lots of innovation on the consumer side of the market as the advent of smart phones made it easier than ever for consumers to interact with their money. The likes of GoCardless, Lendable, Monzo & Marshmallow, all backed from Seed by Passion, have made it easier for consumers to spend, save & borrow than before. There are though large parts of the financial industry that haven’t changed much over the last decade and where human centric processes are still the norm as SaaS and Machine Learning solutions have lacked the contextual knowledge or nuance to automate processes.

The promise of LLM’s and other generative AI solutions is the ability to take account of contextual knowledge, both structured and unstructured, when coming up with an answer. With finance areas such as compliance, strategy, wealth, accounts and other more nuanced fields that remain dominated by human experts now have the potential to see AI automating processes and offering new insights.

A recent Bank of England survey found that AI, in a broadly defined sense also including older machine learning techniques, is already in use by 85% of financial services firms. It also highlighted knowledge rich areas such as carbon footprint estimation, liquidity management, regulatory reporting & compliance and capital management as the areas firms expected to see the greatest increase in AI adoption in the coming years.

We expect to see AI being used not just to disrupt knowledge intensive areas of finance, but also by the companies doing the disruption themselves – using AI in development, sales & customer support. As AI first businesses build in a more efficient and lean manner than was possible before it also opens up smaller niche verticals for disruption that didn’t offer a big enough market size to justify the development, though these smaller markets may well end up as the thin end of the wedge to much larger product opportunities in the longer term.