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Jayne-Anne Gadhia withdraws from Bank of England job

BRITAIN'S finance ministry said on Tuesday (6) that Jayne-Anne Gadhia, recently appointed as an executive at the US online services provider Salesforce, will no longer take up her appointment on a top Bank of England panel.

Gadhia, formerly chief executive officer of lender Virgin Money, had already delayed her appointment to the BoE's Financial Policy Committee (FPC) until April 2020, a year later than planned.


Her decision to withdraw puts the lack of diversity in the BoE's three main monetary, financial and regulation policy committees back in the spotlight.

Lawmakers have criticised the finance ministry for appointing too few women to the committees.

There are 17 men currently serving as voting members of the BoE's main policy committees, compared with five women.

"We are of course sorry that Jayne-Anne Gadhia won't be taking up her role as an external member on the Financial Policy Committee," the BoE said in a statement.

The finance ministry said it would launch a new appointment process to fill the vacancy on the FPC, which monitors risks in Britain's financial system.

(Reuters)

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  • UK share prices close to most stretched levels since 2008 financial crisis.
  • AI infrastructure spending could top $5 tn, with half funded through debt.
  • Homeowners face £64 monthly increase as 3.9 m refinance mortgages by 2028.
The Bank of England has warned of a potential "sharp correction" in the value of major technology companies, with growing fears of an artificial intelligence bubble reminiscent of the dotcom crash.

The central bank's financial stability report revealed that share prices in the UK are close to the "most stretched" they have been since the 2008 global financial crisis, while equity valuations in the United States are reminiscent of those before the dotcom bubble burst in 2000.

Valuations are "particularly stretched" for companies focused on AI, the Bank warned. It cited industry figures forecasting spending on AI infrastructure could top $5 tn (£3.8 tn) over the next five years, with around half funded through debt rather than by AI firms themselves.

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