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Women more likely than men to be forced to switch occupations because of AI

The impact of AI on the future of work is still unclear but a new report suggests an unequal disruption effect, writes Aoibhinn Mc Bride

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When ChatGPT launched in November 2022, it was both celebrated and denounced in equal measure. Would our jobs be safe? Would chatbots replace humans at large? 

Even some of the most lauded experts in the field have issued ominous warnings about AI’s potentially negative impact. 

Former Google employee Dr Geoffrey Hinton, aka the “godfather of AI” has cited the “scary” chatbots he helped create as one of the main reasons he was stepping down from his role. 

“I’ve come to the conclusion that the kind of intelligence we’re developing is very different from the intelligence we have,” he said. 

“So it’s as if you had 10,000 people and whenever one person learned something, everybody automatically knew it. And that’s how these chatbots can know so much more than any one person.”

Additionally, the government’s outgoing chief scientific advisor, Sir Patrick Vallance has warned that generative AI will have “a big impact on jobs”.

“There will be jobs that can be done by AI, which can either mean a lot of people don’t have a job, or a lot of people have jobs that only a human could do,” he shared with the Commons science, innovation and technology committee in May. 

“In the Industrial Revolution the initial effect was a decrease in economic output as people realigned in terms of what the jobs were—and then a benefit. We need to get ahead of that.”

Additional data predicts that generative AI could impact as many as 300 million full-time jobs globally.

Generative hierarchy

However, not all workers are as equally vulnerable to generative AI’s ability to replace them, and women are more likely to be forced to switch jobs as a result of AI. 

That’s according to a recent report by McKinsey which found that women are 1.5 times more likely to be replaced as they make up the largest proportions of workers in low-wage jobs. 

Low-wage workers as a whole are 14 times more likely to need to change occupations than those in some of the highest-earning positions. 

However, the report also found that white-collar workers will be among those most affected by generative AI’s adoption in the workplace and will need to redefine their roles rather than leave them completely.

So whether you’re looking for ways to futureproof your career or want to move to a company that is embracing all that generative AI has to offer, the AltFi Job Board is the perfect place to start your search. 

It features thousands of roles in companies that are currently hiring, like the three below. 

Data Analyst, GoCardless, London

GoCardless is looking for an established Data Analyst to join and support the People team to deliver on its goals and help the company make better, faster and more data-driven decisions. You will be the first point of contact for all people analysis and reporting requests and collaborate with the business intelligence team to identify, build and automate regular reporting schedules ensuring that required outputs are delivered on time and in full. You will also identify patterns and trends in data sets and present the data in easy to understand formats. View additional details here

Senior Data Scientist, Financial Crime, Monzo, London

Monzo is hiring a Senior Data Scientist in Financial Crime. In this role you’ll be working in an ever changing environment where we are building and iterating financial crime defence capabilities to ensure Monzo keeps its customers safe. As part of your job you'll work closely with product managers, engineers, designers and researchers in an agile product environment. You'll champion the use of data, bring ideas to life through rigorous experimentation and A/B testing and help Monzo get the most out of large volumes of data stored on a modern cloud native data platform. See the full job description here

iOS Engineer, Starling Bank, London

As a fully digital bank, Starling is looking for engineers who are able to understand and prioritise security when implementing new features, fixing bugs or making technical improvements, across all the layers. As an iOS Engineer you will take full ownership of building code and shipping and maintaining it, sharing knowledge with your colleagues and making sure all processes are efficient and productive to deliver the best possible results for customers. As such, the ideal candidate will want to work on a feature rich mobile app with millions of customers, produce robust, well tested code and care about the product. If this sounds like you, you can get more information here.

For thousands more opening in tech, and fintech, visit the AltFi Job Board today

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