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For financial services companies—banks, asset managers, wealth managers, and insurers—generative AI offers great promise in everything from compliance to robo-advisory services. But many financial services companies also face significant obstacles: regulation, legacy IT systems, siloed data sets, and limited cloud deployment.", "attrs": null, "canon": { "kind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "5f2affc0-941d-4d07-959d-4bfc1930cea4", "version": 1, "description": "Single prose block in the body of a slide." }, "tool": null, "subkind": { "name": "Paragraph", "slug": "paragraph", "status": "active", "canonId": "019de52c-fb80-75af-aa5c-a7a4bfac2433", "version": 1, "description": null }, "framework": null }, "subkind": "paragraph", "groupRole": null, "confidence": null, "extraction": { "at": "2026-05-02 18:45:38.232+00", "model": "google/gemini-3.1-flash-lite-preview-20260303", "runId": null, "seconds": null, "promptVersion": null }, "componentId": "1fd402dd-474e-46b9-a131-8bf957c90839", "parentComponentId": null }, { "bbox": { "h": 0.35, "w": 0.38, "x": 0.07, "y": 0.46 }, "kind": "paragraph", "text": "In this paper we look at what financial services executives are expecting from generative AI, and their concerns about using the technology, based on findings from an exclusive KPMG survey conducted in March 2023 of 300 global executives across a wide range of industries.1 (Where relevant, we compare the results with findings from our follow-up survey of 200 US executives three months later.) 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