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Don't fight AI, HSBC CEO tells staff as banks begin job cuts
HSBC says AI will create and destroy jobs as Standard Chartered plans to cut 15% of corporate function roles by 2030.
- On Wednesday, HSBC CEO Georges Elhedery announced that artificial intelligence will both destroy and create financial industry jobs, emphasizing the bank is prioritizing workforce retraining to help staff navigate upcoming technological changes.
- Elhedery aims to guide 200,000 employees through this transition, having appointed David Rice as Chief AI Officer to streamline operations and simplify more than 50 work streams.
- According to the bank, AI integration reduces client onboarding time by 50 per cent, though reports indicate about 15 per cent of corporate roles could be affected as HSBC revamps internal functions.
- Standard Chartered CEO Bill Winters announced plans to automate processes and potentially cut about 7,000 back-office jobs by 2030, as both financial giants deploy AI to streamline operations and drive profit growth.
- Wider industry layoffs, including 8,000 staff cuts at Meta and more than 600 at LinkedIn, coincide with this corporate AI adoption, highlighting how the financial sector is accelerating efficiency efforts amid the AI boom.
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HSBC Chief Tells Bankers Not To Resist AI As Wall Street Job Cuts Begin
(Wall Street, New York) – HSBC’s chief executive is warning employees that artificial intelligence is no longer a future issue for the banking industry — it is already changing how banks operate, how many people they need, and what kinds of jobs survive. Georges Elhedery told HSBC employees that workers should not push back against the technology, even as he acknowledged that AI will eliminate some positions while creating others. His message wa…
HSBC Chief Urges Staff to Embrace AI as Tech Upends Banking Jobs
HSBC Holdings Plc Chief Executive Officer Georges Elhedery warned that artificial intelligence will “destroy” certain roles while creating others, urging employees to adapt rather than resist the technological shift.
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Total News Sources30
Leaning Left2Leaning Right6Center4Last UpdatedBias Distribution50% Right
Bias Distribution
- 50% of the sources lean Right
50% Right
L 17%
C 33%
R 50%
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