{"id":90292,"topic":"ai","source":"Yahoo Finance UK","title":"AI is creating jobs as well as erasing them – but how rewarding are they? - Yahoo Finance UK","url":"https://uk.finance.yahoo.com/news/ai-creating-jobs-well-erasing-135238501.html","url_hash":"0c8feeaf9855ea3faf9a9a1c96da0d0cbf2967e8","author":"","summary":"AI is creating jobs as well as erasing them – but how rewarding are they? Yahoo Finance UK","content":"Don't believe the hype about AI taking over all forms of work. Most of the evidence to date suggests large-scale job losses are limited. But what is changing is the way work is organised.\nOne area of increased employment is in people \"cleaning up\" after large language models (LLMs), or quality controlling them.\nThe sales pitch is that these AI systems can program code, write reports, analyse data and automate routine decisions faster and better than humans, all at negligible marginal cost. In theory, this should free people to focus on higher-level thinking, and leisure.\nIn practice, AI agents produce vast amounts of \"almost right\" output – but there are still errors, hallucinations and odd gaps in judgment that a real person has to catch.\nThe resulting jobs, often known as AI remediation, vary in their skill and remuneration levels. Some AI companies are now hiring experienced professionals in many different fields to ensure their agents are producing work of requisite quality – and to help them change that if not.\nBut there is also a more subtle shift in job responsibilities within many organisations. Some white-collar workers in industries such as finance, tech and retail are suggesting that AI can add to, rather than reduce, their workload, because of the need to monitor so-called \"workslop\". This can also undermine trust in colleagues who are using AI agents.\nVideo: AskUs Solution.\nA 2025 Harvard Business Review report quoted a retail director who lamented spending \"more time following up on the information [provided by AI] and checking it with my own research. I then had to waste even more time setting up meetings with other supervisors to address the issue.\"\nPublic sector slop\nThe public sector risks being drawn into this \"AI repair\" logic. The UK government (among many others) is experimenting with AI for tasks such as summarising consultation responses, drafting correspondence and analysing sentiment in citizen feedback. Official guidance for civil servants encourages cautious use of generative AI, while warning that its outputs can be misleading and must be independently verified.\nThis means, if public services start producing large volumes of AI-generated analysis and letters, they will also have to create new positions whose main responsibility is to monitor, check and correct that output before it reaches citizens or feeds into policy.\nHow much of the apparent AI efficiency gain will be consumed by people silently tidying up after systems that are sold as automatic?","image_url":"https://s.yimg.com/lo/mysterio/api/c18588e2c6aaa3105c68ec12d21a6735e3b99b7af81aff8df6a51a78a0360113/lightyear_networkapi/resizefill_w1200%3Bquality_80%3Bformat_webp/https%3A%2F%2Fmedia.zenfs.com%2Fen%2Fthe_conversation_464%2F39fd9c137bb49511d5f268bfe28025d7.jpg","lang":"en","published_at":"2026-09-25T13:52:38+00:00","fetched_at":"2026-09-25T15:15:06+00:00","status":"read","starred":0,"extract_state":"ok","summary_auto":"Don't believe the hype about AI taking over all forms of work. Most of the evidence to date suggests large-scale job losses are limited.","cluster_id":null,"extract_retries":0,"extract_error":null,"contract_version":"news_item.v1","format_contract_version":"news_item_formats.v1","dedup_url":"https://uk.finance.yahoo.com/news/ai-creating-jobs-well-erasing-135238501.html","quality_profile":{"profile_version":"extraction_quality.v2","bucket":"high","confidence":0.9,"failure_kind":"none","retryable":false,"retry_after_attempts":0,"reason":"High confidence: full text extraction produced 2523 characters.","operator_guidance":{"severity":"ok","recommended_action":"trust_full_text","next_step":"Use the extracted full text as the primary article source.","operator_label":"Ready","can_retry":false,"can_use_summary":false,"diagnostics_required":false},"content_depth":{"contract_version":"content_depth.v1","category":"full_text","label":"Full text","has_full_text":true,"has_summary":true,"content_length":2523,"summary_length":136,"usable_text_length":2523,"source_field":"content"},"legacy_collapsed":false,"signals":{"extract_state":"ok","extract_error":null,"extract_retries":0,"content_length":2523,"summary_length":136}},"news_item":{"id":90292,"canonical_url":"https://uk.finance.yahoo.com/news/ai-creating-jobs-well-erasing-135238501.html","source_url":"https://uk.finance.yahoo.com/news/ai-creating-jobs-well-erasing-135238501.html","title":"AI is creating jobs as well as erasing them – but how rewarding are they? - Yahoo Finance UK","source_name":"Yahoo Finance UK","author":null,"published_at":"2026-09-25T13:52:38+00:00","locale":"en","topic":"ai","tags":[],"rss_summary":"AI is creating jobs as well as erasing them – but how rewarding are they? Yahoo Finance UK","full_text":"Don't believe the hype about AI taking over all forms of work. Most of the evidence to date suggests large-scale job losses are limited. But what is changing is the way work is organised.\nOne area of increased employment is in people \"cleaning up\" after large language models (LLMs), or quality controlling them.\nThe sales pitch is that these AI systems can program code, write reports, analyse data and automate routine decisions faster and better than humans, all at negligible marginal cost. In theory, this should free people to focus on higher-level thinking, and leisure.\nIn practice, AI agents produce vast amounts of \"almost right\" output – but there are still errors, hallucinations and odd gaps in judgment that a real person has to catch.\nThe resulting jobs, often known as AI remediation, vary in their skill and remuneration levels. Some AI companies are now hiring experienced professionals in many different fields to ensure their agents are producing work of requisite quality – and to help them change that if not.\nBut there is also a more subtle shift in job responsibilities within many organisations. Some white-collar workers in industries such as finance, tech and retail are suggesting that AI can add to, rather than reduce, their workload, because of the need to monitor so-called \"workslop\". This can also undermine trust in colleagues who are using AI agents.\nVideo: AskUs Solution.\nA 2025 Harvard Business Review report quoted a retail director who lamented spending \"more time following up on the information [provided by AI] and checking it with my own research. I then had to waste even more time setting up meetings with other supervisors to address the issue.\"\nPublic sector slop\nThe public sector risks being drawn into this \"AI repair\" logic. The UK government (among many others) is experimenting with AI for tasks such as summarising consultation responses, drafting correspondence and analysing sentiment in citizen feedback. Official guidance for civil servants encourages cautious use of generative AI, while warning that its outputs can be misleading and must be independently verified.\nThis means, if public services start producing large volumes of AI-generated analysis and letters, they will also have to create new positions whose main responsibility is to monitor, check and correct that output before it reaches citizens or feeds into policy.\nHow much of the apparent AI efficiency gain will be consumed by people silently tidying up after systems that are sold as automatic?","excerpt":"Don't believe the hype about AI taking over all forms of work. Most of the evidence to date suggests large-scale job losses are limited.","extraction":{"state":"ok","confidence":0.9,"error":null,"explanation":"High confidence: full text extraction produced 2523 characters.","diagnostics_url":"/api/diagnose?url=https%3A//uk.finance.yahoo.com/news/ai-creating-jobs-well-erasing-135238501.html","quality_profile":{"profile_version":"extraction_quality.v2","bucket":"high","confidence":0.9,"failure_kind":"none","retryable":false,"retry_after_attempts":0,"reason":"High confidence: full text extraction produced 2523 characters.","operator_guidance":{"severity":"ok","recommended_action":"trust_full_text","next_step":"Use the extracted full text as the primary article source.","operator_label":"Ready","can_retry":false,"can_use_summary":false,"diagnostics_required":false},"content_depth":{"contract_version":"content_depth.v1","category":"full_text","label":"Full text","has_full_text":true,"has_summary":true,"content_length":2523,"summary_length":136,"usable_text_length":2523,"source_field":"content"},"legacy_collapsed":false,"signals":{"extract_state":"ok","extract_error":null,"extract_retries":0,"content_length":2523,"summary_length":136}}},"display_formats":["compact","card","full","digest_section","json"]},"daily_stack_record":{"title":"AI is creating jobs as well as erasing them – but how rewarding are they? - Yahoo Finance UK","url":"https://uk.finance.yahoo.com/news/ai-creating-jobs-well-erasing-135238501.html","summary":"Don't believe the hype about AI taking over all forms of work. Most of the evidence to date suggests large-scale job losses are limited.","source":"Yahoo Finance UK","date":"2026-09-25T13:52:38+00:00","content":"Don't believe the hype about AI taking over all forms of work. Most of the evidence to date suggests large-scale job losses are limited. But what is changing is the way work is organised.\nOne area of increased employment is in people \"cleaning up\" after large language models (LLMs), or quality controlling them.\nThe sales pitch is that these AI systems can program code, write reports, analyse data and automate routine decisions faster and better than humans, all at negligible marginal cost. In theory, this should free people to focus on higher-level thinking, and leisure.\nIn practice, AI agents produce vast amounts of \"almost right\" output – but there are still errors, hallucinations and odd gaps in judgment that a real person has to catch.\nThe resulting jobs, often known as AI remediation, vary in their skill and remuneration levels. Some AI companies are now hiring experienced professionals in many different fields to ensure their agents are producing work of requisite quality – and to help them change that if not.\nBut there is also a more subtle shift in job responsibilities within many organisations. Some white-collar workers in industries such as finance, tech and retail are suggesting that AI can add to, rather than reduce, their workload, because of the need to monitor so-called \"workslop\". This can also undermine trust in colleagues who are using AI agents.\nVideo: AskUs Solution.\nA 2025 Harvard Business Review report quoted a retail director who lamented spending \"more time following up on the information [provided by AI] and checking it with my own research. I then had to waste even more time setting up meetings with other supervisors to address the issue.\"\nPublic sector slop\nThe public sector risks being drawn into this \"AI repair\" logic. The UK government (among many others) is experimenting with AI for tasks such as summarising consultation responses, drafting correspondence and analysing sentiment in citizen feedback. Official guidance for civil servants encourages cautious use of generative AI, while warning that its outputs can be misleading and must be independently verified.\nThis means, if public services start producing large volumes of AI-generated analysis and letters, they will also have to create new positions whose main responsibility is to monitor, check and correct that output before it reaches citizens or feeds into policy.\nHow much of the apparent AI efficiency gain will be consumed by people silently tidying up after systems that are sold as automatic?","confidence":0.9,"diagnostics_url":"/api/diagnose?url=https%3A//uk.finance.yahoo.com/news/ai-creating-jobs-well-erasing-135238501.html","quality_bucket":"high","failure_kind":"none","retryable":false,"quality_reason":"High confidence: full text extraction produced 2523 characters.","quality_profile":{"profile_version":"extraction_quality.v2","bucket":"high","confidence":0.9,"failure_kind":"none","retryable":false,"retry_after_attempts":0,"reason":"High confidence: full text extraction produced 2523 characters.","operator_guidance":{"severity":"ok","recommended_action":"trust_full_text","next_step":"Use the extracted full text as the primary article source.","operator_label":"Ready","can_retry":false,"can_use_summary":false,"diagnostics_required":false},"content_depth":{"contract_version":"content_depth.v1","category":"full_text","label":"Full text","has_full_text":true,"has_summary":true,"content_length":2523,"summary_length":136,"usable_text_length":2523,"source_field":"content"},"legacy_collapsed":false,"signals":{"extract_state":"ok","extract_error":null,"extract_retries":0,"content_length":2523,"summary_length":136}},"tags":[]},"fallback_formats":["markdown","json","html"],"actions":{"read":"/item/90292","export_markdown":"/api/items/90292/export?format=markdown","export_json":"/api/items/90292/export?format=json","diagnose":"/api/diagnose?url=https%3A//uk.finance.yahoo.com/news/ai-creating-jobs-well-erasing-135238501.html"},"formats":{"full":{"id":90292,"title":"AI is creating jobs as well as erasing them – but how rewarding are they? - Yahoo Finance UK","url":"https://uk.finance.yahoo.com/news/ai-creating-jobs-well-erasing-135238501.html","source":"Yahoo Finance UK","author":null,"published_at":"2026-09-25T13:52:38+00:00","locale":"en","topic":"ai","tags":[],"excerpt":"Don't believe the hype about AI taking over all forms of work. Most of the evidence to date suggests large-scale job losses are limited.","full_text":"Don't believe the hype about AI taking over all forms of work. Most of the evidence to date suggests large-scale job losses are limited. But what is changing is the way work is organised.\nOne area of increased employment is in people \"cleaning up\" after large language models (LLMs), or quality controlling them.\nThe sales pitch is that these AI systems can program code, write reports, analyse data and automate routine decisions faster and better than humans, all at negligible marginal cost. In theory, this should free people to focus on higher-level thinking, and leisure.\nIn practice, AI agents produce vast amounts of \"almost right\" output – but there are still errors, hallucinations and odd gaps in judgment that a real person has to catch.\nThe resulting jobs, often known as AI remediation, vary in their skill and remuneration levels. Some AI companies are now hiring experienced professionals in many different fields to ensure their agents are producing work of requisite quality – and to help them change that if not.\nBut there is also a more subtle shift in job responsibilities within many organisations. Some white-collar workers in industries such as finance, tech and retail are suggesting that AI can add to, rather than reduce, their workload, because of the need to monitor so-called \"workslop\". This can also undermine trust in colleagues who are using AI agents.\nVideo: AskUs Solution.\nA 2025 Harvard Business Review report quoted a retail director who lamented spending \"more time following up on the information [provided by AI] and checking it with my own research. I then had to waste even more time setting up meetings with other supervisors to address the issue.\"\nPublic sector slop\nThe public sector risks being drawn into this \"AI repair\" logic. The UK government (among many others) is experimenting with AI for tasks such as summarising consultation responses, drafting correspondence and analysing sentiment in citizen feedback. Official guidance for civil servants encourages cautious use of generative AI, while warning that its outputs can be misleading and must be independently verified.\nThis means, if public services start producing large volumes of AI-generated analysis and letters, they will also have to create new positions whose main responsibility is to monitor, check and correct that output before it reaches citizens or feeds into policy.\nHow much of the apparent AI efficiency gain will be consumed by people silently tidying up after systems that are sold as automatic?","reading_time_min":2,"extraction":{"state":"ok","confidence":0.9,"error":null,"explanation":"High confidence: full text extraction produced 2523 characters.","diagnostics_url":"/api/diagnose?url=https%3A//uk.finance.yahoo.com/news/ai-creating-jobs-well-erasing-135238501.html","quality_profile":{"profile_version":"extraction_quality.v2","bucket":"high","confidence":0.9,"failure_kind":"none","retryable":false,"retry_after_attempts":0,"reason":"High confidence: full text extraction produced 2523 characters.","operator_guidance":{"severity":"ok","recommended_action":"trust_full_text","next_step":"Use the extracted full text as the primary article source.","operator_label":"Ready","can_retry":false,"can_use_summary":false,"diagnostics_required":false},"content_depth":{"contract_version":"content_depth.v1","category":"full_text","label":"Full text","has_full_text":true,"has_summary":true,"content_length":2523,"summary_length":136,"usable_text_length":2523,"source_field":"content"},"legacy_collapsed":false,"signals":{"extract_state":"ok","extract_error":null,"extract_retries":0,"content_length":2523,"summary_length":136}}},"quality_profile":{"profile_version":"extraction_quality.v2","bucket":"high","confidence":0.9,"failure_kind":"none","retryable":false,"retry_after_attempts":0,"reason":"High confidence: full text extraction produced 2523 characters.","operator_guidance":{"severity":"ok","recommended_action":"trust_full_text","next_step":"Use the extracted full text as the primary article source.","operator_label":"Ready","can_retry":false,"can_use_summary":false,"diagnostics_required":false},"content_depth":{"contract_version":"content_depth.v1","category":"full_text","label":"Full text","has_full_text":true,"has_summary":true,"content_length":2523,"summary_length":136,"usable_text_length":2523,"source_field":"content"},"legacy_collapsed":false,"signals":{"extract_state":"ok","extract_error":null,"extract_retries":0,"content_length":2523,"summary_length":136}},"actions":{"read":"/item/90292","export_markdown":"/api/items/90292/export?format=markdown","export_json":"/api/items/90292/export?format=json","diagnose":"/api/diagnose?url=https%3A//uk.finance.yahoo.com/news/ai-creating-jobs-well-erasing-135238501.html"}},"digest":{"id":90292,"title":"AI is creating jobs as well as erasing them – but how rewarding are they? - Yahoo Finance UK","url":"https://uk.finance.yahoo.com/news/ai-creating-jobs-well-erasing-135238501.html","source":"Yahoo Finance UK","topic":"ai","published_at":"2026-09-25T13:52:38+00:00","excerpt":"Don't believe the hype about AI taking over all forms of work. Most of the evidence to date suggests large-scale job losses are limited.","quality_bucket":"high","quality_reason":"High confidence: full text extraction produced 2523 characters.","reading_time_min":2,"cluster_id":null},"card":{"display_title":"AI is creating jobs as well as erasing them – but how rewarding are they? - Yahoo Finance UK","subtitle":"Yahoo Finance UK · 2026-09-25","summary":"Don't believe the hype about AI taking over all forms of work. Most of the evidence to date suggests large-scale job losses are limited.","badges":["quality:high"],"links":{"read":"/item/90292","original":"https://uk.finance.yahoo.com/news/ai-creating-jobs-well-erasing-135238501.html","diagnose":"/api/diagnose?url=https%3A//uk.finance.yahoo.com/news/ai-creating-jobs-well-erasing-135238501.html"},"quality_warning":null},"export":{"title":"AI is creating jobs as well as erasing them – but how rewarding are they? - Yahoo Finance UK","url":"https://uk.finance.yahoo.com/news/ai-creating-jobs-well-erasing-135238501.html","summary":"Don't believe the hype about AI taking over all forms of work. Most of the evidence to date suggests large-scale job losses are limited.","source":"Yahoo Finance UK","date":"2026-09-25T13:52:38+00:00","content":"Don't believe the hype about AI taking over all forms of work. Most of the evidence to date suggests large-scale job losses are limited. But what is changing is the way work is organised.\nOne area of increased employment is in people \"cleaning up\" after large language models (LLMs), or quality controlling them.\nThe sales pitch is that these AI systems can program code, write reports, analyse data and automate routine decisions faster and better than humans, all at negligible marginal cost. In theory, this should free people to focus on higher-level thinking, and leisure.\nIn practice, AI agents produce vast amounts of \"almost right\" output – but there are still errors, hallucinations and odd gaps in judgment that a real person has to catch.\nThe resulting jobs, often known as AI remediation, vary in their skill and remuneration levels. Some AI companies are now hiring experienced professionals in many different fields to ensure their agents are producing work of requisite quality – and to help them change that if not.\nBut there is also a more subtle shift in job responsibilities within many organisations. Some white-collar workers in industries such as finance, tech and retail are suggesting that AI can add to, rather than reduce, their workload, because of the need to monitor so-called \"workslop\". This can also undermine trust in colleagues who are using AI agents.\nVideo: AskUs Solution.\nA 2025 Harvard Business Review report quoted a retail director who lamented spending \"more time following up on the information [provided by AI] and checking it with my own research. I then had to waste even more time setting up meetings with other supervisors to address the issue.\"\nPublic sector slop\nThe public sector risks being drawn into this \"AI repair\" logic. The UK government (among many others) is experimenting with AI for tasks such as summarising consultation responses, drafting correspondence and analysing sentiment in citizen feedback. Official guidance for civil servants encourages cautious use of generative AI, while warning that its outputs can be misleading and must be independently verified.\nThis means, if public services start producing large volumes of AI-generated analysis and letters, they will also have to create new positions whose main responsibility is to monitor, check and correct that output before it reaches citizens or feeds into policy.\nHow much of the apparent AI efficiency gain will be consumed by people silently tidying up after systems that are sold as automatic?","confidence":0.9,"diagnostics_url":"/api/diagnose?url=https%3A//uk.finance.yahoo.com/news/ai-creating-jobs-well-erasing-135238501.html","quality_bucket":"high","failure_kind":"none","retryable":false,"quality_reason":"High confidence: full text extraction produced 2523 characters.","quality_profile":{"profile_version":"extraction_quality.v2","bucket":"high","confidence":0.9,"failure_kind":"none","retryable":false,"retry_after_attempts":0,"reason":"High confidence: full text extraction produced 2523 characters.","operator_guidance":{"severity":"ok","recommended_action":"trust_full_text","next_step":"Use the extracted full text as the primary article source.","operator_label":"Ready","can_retry":false,"can_use_summary":false,"diagnostics_required":false},"content_depth":{"contract_version":"content_depth.v1","category":"full_text","label":"Full text","has_full_text":true,"has_summary":true,"content_length":2523,"summary_length":136,"usable_text_length":2523,"source_field":"content"},"legacy_collapsed":false,"signals":{"extract_state":"ok","extract_error":null,"extract_retries":0,"content_length":2523,"summary_length":136}},"tags":[],"format_contract_version":"news_item_formats.v1"}}}