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What will we do after robots have taken over? Simple: more work

‘Human’ skills like communication, selling and the ability to empathise will still be valued even as AI changes the face of financial services

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The robots that are coming for our jobs will still need to be constructed, maintained, fine-tuned and managed. Photo: Sunny Lee

What will we do after robots have taken over and changed the face of today’s financial services industry?

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We are on an unstoppable path to replace mid-level analysis positions with artificial intelligence (AI) and eliminate many repetitive data-entry financial services jobs with robotics process automation – essentially, the replacement of humans performing rules-based tasks with computer software.

The organisations that succeed in this new world will be the ones that focus on a ‘people first’ approach

It isn’t a question of if, but rather when, as the value proposition is clear. After all, AI will be a game changer and we’re already starting to see wider adoption of robotics process automation in the industry.

AI enables financial services companies to leapfrog traditional rules-based analysis of a limited (due to the human mind’s relatively slower capabilities) number of parameters to a deeper understanding of corporate and customer behaviour, preferences and profitability, sliced, diced and analysed based on a limitless number of data points. It is early days for AI in financial services but its uses range from predictive analysis for product propensity, investment advice and life events to personality preferences and customer attrition detection, to name just a few.

The analysis churned out by AI allows humans to focus on their clients, offer new, bespoke, just-in-time offerings, and have more valuable interactions.

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Robotics process automation is already widely deployed, and for good reason. It decreases costs, improves control and increases speed and accuracy for certain processes, particularly in finance, risk and back office operations. And it offers an unparalleled level of enterprise scalability, control and management information reporting.

It is no longer a question of “what if?” It is inevitable. So the next question is, what do we do with the humans?

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