Martin Burch had been working for the Wall Street Journal and its parent company Dow Jones for a few years and was looking for new opportunities. One Sunday in May 2021, he applied for a data analyst position at Bloomberg in London that looked like the perfect fit. He received an immediate response, asking him to take a digital assessment.
It was strange. The assessment showed him different shapes and asked him to figure out the pattern. He started feeling incredulous. “Shouldn’t we be testing my abilities on the job?” he asked himself.
The next day, a Monday, which happened to be a public holiday in the UK, he got a rejection email. He decided to email a recruiter at Bloomberg. Maybe the company made a mistake?
What Burch discovered offers insight into a larger phenomenon that is baffling experts: while there are record level job openings in both the UK and in the US, why do many people still have to apply to sometimes hundreds of jobs, even in sought-after fields like software development, while many companies complain they can’t find the right talent?
Some experts argue that algorithms and artificial intelligence now used extensively in hiring are playing a role. This is a huge shift, because until relatively recently, most hiring managers would handle applications and resumes themselves.Yet recent findings have shown that some of these new tools discriminate against women and use criteria unrelated to work to “predict” job success.
While companies and vendors are not required to disclose if they use artificial intelligence or algorithms to select and hire job applicants, in my reporting I have learned that this is widespread. All the leading job platforms – including LinkedIn, ZipRecruiter, Indeed, CareerBuilder, and
Read more on theguardian.com