{"schema_version":"onlylabs.public_signal.v1","title":"Anthropic Writing: Ai Expectations Gap","description":"Anthropic writing signal with public source context, captured evidence pages, related signals, and data-business radar classification.","url":"https://onlylabs.fyi/signals/ca36ed17-7538-4106-aa3f-fd2e14080e3a","json_url":"https://onlylabs.fyi/signals/ca36ed17-7538-4106-aa3f-fd2e14080e3a/signal.json","generated_at":"2026-10-25T10:36:45.238Z","evidence_latest_fetched_at":"2026-10-17T00:03:04.696+00:00","signal_first_seen_at":"2026-10-17T00:00:49.191483+00:00","org":{"slug":"anthropic","name":"Anthropic","category":"frontier-lab","category_label":"Frontier lab","dossier_url":"https://onlylabs.fyi/labs/anthropic","dossier_json_url":"https://onlylabs.fyi/labs/anthropic/dossier.json"},"related_urls":{"signal":"https://onlylabs.fyi/signals/ca36ed17-7538-4106-aa3f-fd2e14080e3a","signal_json":"https://onlylabs.fyi/signals/ca36ed17-7538-4106-aa3f-fd2e14080e3a/signal.json","source":"https://www.anthropic.com/research/ai-expectations-gap","lab_dossier":"https://onlylabs.fyi/labs/anthropic","lab_dossier_json":"https://onlylabs.fyi/labs/anthropic/dossier.json","analysis":"https://onlylabs.fyi/analysis/anthropic","analysis_json":"https://onlylabs.fyi/analysis/anthropic/analysis.json","analysis_evidence_json":"https://onlylabs.fyi/analysis/anthropic/evidence.json","category":"https://onlylabs.fyi/frontier","category_json":"https://onlylabs.fyi/frontier.json","category_feed":"https://onlylabs.fyi/frontier/feed.xml","category_signals_json":"https://onlylabs.fyi/signals.json","topic":"https://onlylabs.fyi/topics/talking","topic_signals_json":"https://onlylabs.fyi/topics/talking/signals.json","topic_feed":"https://onlylabs.fyi/topics/talking/feed.xml","data_business":null},"answer_pack":{"answer":"Anthropic published Ai Expectations Gap. This talking signal gives public context for research themes, product direction, policy, or launch framing. High-signal details: Substantive post from major lab but low traction. · Appendix to “The AI Expectations Gap” October 2026 A. Survey samples The survey ofthe general public was fielded by Morning Consult between August 11 and 23, 2026, and.... onlylabs links this event to 4 captured evidence pages and 6 related writing signals.","signal_desk":"talking","source_context":{"source_url":"https://www.anthropic.com/research/ai-expectations-gap","source_host":"anthropic.com","occurred_at":"2026-10-16T00:00:00.000Z","first_seen_at":"2026-10-17T00:00:49.191483+00:00","date_source":"page.visible_date","context":null},"context_markers":[{"label":"Lab","value":"Anthropic","source":"signal"},{"label":"Signal desk","value":"talking","source":"signal"},{"label":"Source host","value":"anthropic.com","source":"source"},{"label":"PDF","value":"linked report","source":"source"},{"label":"Notability","value":"Substantive post from major lab but low traction.","source":"signal"},{"label":"HN","value":"Skepticism over 14% of Anthropic staff doubting Claude can write emails today, questioning what's missing.","source":"source"},{"label":"Watch term","value":"Eval methodology","source":"evidence"},{"label":"Watch term","value":"Safety and alignment","source":"evidence"},{"label":"Watch term","value":"Agents and tool use","source":"evidence"}],"evidence_coverage":{"target_pages":4,"captured_pages":4,"readable_pages":4,"capture_methods":["exa","plain"],"missing_page_urls":[],"failed_page_urls":[],"blocked_page_urls":[],"page_urls":["https://www.anthropic.com/research/ai-expectations-gap","https://www-cdn.anthropic.com/a28f24814c56e2834a3eae7b13946f19d3e97ec4/The%20AI%20Expectations%20Gap.pdf","https://www-cdn.anthropic.com/files/4zrzovbb/website/cf58f84d46a4a76bf5a5b039ac695fba6b80041c.pdf","https://www-cdn.anthropic.com/1bc1a3067f9c9883d6d556b38f26fd4f1e1b640f/The%20AI%20Expectations%20Gap%20-%20Appendix.pdf"],"related_signals":6,"has_source_url":true,"latest_page_fetched_at":"2026-10-17T00:03:04.696+00:00"},"data_business":{"matches":false,"lanes":[],"matched_terms":[],"score":null,"reason":null},"agent_handoff":{"signal_json":"https://onlylabs.fyi/signals/ca36ed17-7538-4106-aa3f-fd2e14080e3a/signal.json","dossier_json":"https://onlylabs.fyi/labs/anthropic/dossier.json","analysis_json":"https://onlylabs.fyi/analysis/anthropic/analysis.json","analysis_evidence_json":"https://onlylabs.fyi/analysis/anthropic/evidence.json","topic_signals_json":"https://onlylabs.fyi/topics/talking/signals.json","topic_feed":"https://onlylabs.fyi/topics/talking/feed.xml","category_signals_json":"https://onlylabs.fyi/signals.json","data_radar_json":null,"opportunities_json":null},"analysis_playbook":{"objective":"Turn public writing and discussion into a readable map of research themes, product framing, policy posture, launch narratives, and market attention.","evidence_focus":["post title","source URL","captured page text","HN traction","linked model or paper references","publication date"],"extraction_questions":["Which themes are labs choosing to explain publicly?","Which posts are attracting outside discussion?","Which writing reframes a recent release, model, hiring wave, or policy stance?","Which posts mention data, evals, infrastructure, safety, or deployment workflows?"],"signal_questions":["What public theme, launch framing, or research direction does this writing signal expose?","Which themes are labs choosing to explain publicly?","Which posts are attracting outside discussion?","Do the 6 related writing signals show a repeated pattern?"],"output_fields":["org","theme","public_framing","traction","data_business_lane","evidence_url"],"data_business_relevance":"Public writing supplies the narrative layer over raw signals and helps identify which frontier-lab priorities are becoming externally legible.","required_sources":[{"label":"signal_json","url":"https://onlylabs.fyi/signals/ca36ed17-7538-4106-aa3f-fd2e14080e3a/signal.json","required":true},{"label":"source","url":"https://www.anthropic.com/research/ai-expectations-gap","required":true},{"label":"dossier_json","url":"https://onlylabs.fyi/labs/anthropic/dossier.json","required":true},{"label":"analysis_evidence_json","url":"https://onlylabs.fyi/analysis/anthropic/evidence.json","required":true},{"label":"topic_signals_json","url":"https://onlylabs.fyi/topics/talking/signals.json","required":false},{"label":"data_radar_json","url":null,"required":false}],"expected_output":["one-paragraph source-grounded interpretation","category-specific implication","confidence and missing evidence","recommended next source to inspect"],"prompt_seed":"Using only the linked onlylabs JSON, captured source context, and cited evidence, analyze Anthropic's writing signal \"Ai Expectations Gap\" for frontier lab strategy."},"semantic_triples":[{"subject":"Anthropic","predicate":"published","object":"Ai Expectations Gap","text":"Anthropic published Ai Expectations Gap."},{"subject":"Ai Expectations Gap","predicate":"is classified as","object":"writing signal","text":"Ai Expectations Gap is classified as writing signal."},{"subject":"Ai Expectations Gap","predicate":"belongs to","object":"talking desk","text":"Ai Expectations Gap belongs to talking desk."},{"subject":"Ai Expectations Gap","predicate":"has evidence coverage","object":"4 captured evidence pages","text":"Ai Expectations Gap has evidence coverage 4 captured evidence pages."},{"subject":"Ai Expectations Gap","predicate":"has captured page count","object":"4","text":"Ai Expectations Gap has captured page count 4."},{"subject":"Ai Expectations Gap","predicate":"has readable page count","object":"4","text":"Ai Expectations Gap has readable page count 4."},{"subject":"Ai Expectations Gap","predicate":"has related signal count","object":"6","text":"Ai Expectations Gap has related signal count 6."},{"subject":"Ai Expectations Gap","predicate":"has analysis playbook objective","object":"Turn public writing and discussion into a readable map of research themes, product framing, policy posture, launch narratives, and market attention.","text":"Ai Expectations Gap has analysis playbook objective Turn public writing and discussion into a readable map of research themes, product framing, policy posture, launch narratives, and market attention.."},{"subject":"Ai Expectations Gap","predicate":"has source host","object":"anthropic.com","text":"Ai Expectations Gap has source host anthropic.com."},{"subject":"Ai Expectations Gap","predicate":"has lab","object":"Anthropic","text":"Ai Expectations Gap has lab Anthropic."},{"subject":"Ai Expectations Gap","predicate":"has signal desk","object":"talking","text":"Ai Expectations Gap has signal desk talking."},{"subject":"Ai Expectations Gap","predicate":"has source host","object":"anthropic.com","text":"Ai Expectations Gap has source host anthropic.com."},{"subject":"Ai Expectations Gap","predicate":"has pdf","object":"linked report","text":"Ai Expectations Gap has pdf linked report."},{"subject":"Ai Expectations Gap","predicate":"has notability","object":"Substantive post from major lab but low traction.","text":"Ai Expectations Gap has notability Substantive post from major lab but low traction.."},{"subject":"Ai Expectations Gap","predicate":"has hn","object":"Skepticism over 14% of Anthropic staff doubting Claude can write emails today, questioning what's missing.","text":"Ai Expectations Gap has hn Skepticism over 14% of Anthropic staff doubting Claude can write emails today, questioning what's missing.."},{"subject":"Ai Expectations Gap","predicate":"has watch term","object":"Eval methodology","text":"Ai Expectations Gap has watch term Eval methodology."},{"subject":"Ai Expectations Gap","predicate":"has watch term","object":"Safety and alignment","text":"Ai Expectations Gap has watch term Safety and alignment."}]},"intelligence":{"signal_desk":"talking","answer":"Anthropic published Ai Expectations Gap. This talking signal gives public context for research themes, product direction, policy, or launch framing. High-signal details: Substantive post from major lab but low traction. · Appendix to “The AI Expectations Gap” October 2026 A. Survey samples The survey ofthe general public was fielded by Morning Consult between August 11 and 23, 2026, and.... onlylabs links this event to 4 captured evidence pages and 6 related writing signals.","semantic_triples":[{"subject":"Anthropic","predicate":"published","object":"Ai Expectations Gap","text":"Anthropic published Ai Expectations Gap."},{"subject":"Ai Expectations Gap","predicate":"is classified as","object":"writing signal","text":"Ai Expectations Gap is classified as writing signal."},{"subject":"Ai Expectations Gap","predicate":"belongs to","object":"talking desk","text":"Ai Expectations Gap belongs to talking desk."},{"subject":"Ai Expectations Gap","predicate":"has evidence coverage","object":"4 captured evidence pages","text":"Ai Expectations Gap has evidence coverage 4 captured evidence pages."}]},"signal":{"id":"ca36ed17-7538-4106-aa3f-fd2e14080e3a","url":"https://onlylabs.fyi/signals/ca36ed17-7538-4106-aa3f-fd2e14080e3a","json_url":"https://onlylabs.fyi/signals/ca36ed17-7538-4106-aa3f-fd2e14080e3a/signal.json","source_url":"https://www.anthropic.com/research/ai-expectations-gap","title":"Ai Expectations Gap","summary":"Anthropic published a writing signal. onlylabs watches public writing for research themes, product direction, and model-launch context.","context":null,"kind":{"key":"post_published","label":"Writing"},"org":{"slug":"anthropic","name":"Anthropic","category":"frontier-lab"},"occurred_at":"2026-10-16T00:00:00.000Z","first_seen_at":"2026-10-17T00:00:49.191483+00:00","date_source":"page.visible_date","evidence_coverage":{"target_pages":4,"captured_pages":4,"readable_pages":4,"capture_methods":["exa","plain"],"missing_page_urls":[],"failed_page_urls":[],"blocked_page_urls":[],"page_urls":["https://www.anthropic.com/research/ai-expectations-gap","https://www-cdn.anthropic.com/a28f24814c56e2834a3eae7b13946f19d3e97ec4/The%20AI%20Expectations%20Gap.pdf","https://www-cdn.anthropic.com/files/4zrzovbb/website/cf58f84d46a4a76bf5a5b039ac695fba6b80041c.pdf","https://www-cdn.anthropic.com/1bc1a3067f9c9883d6d556b38f26fd4f1e1b640f/The%20AI%20Expectations%20Gap%20-%20Appendix.pdf"]},"facets":{},"traction":{"github_stars":null,"hn_points":2,"hn_comments":1,"hn_story_id":"50125602","hf_downloads":null,"hf_likes":null},"data_radar":null},"primary_evidence_page":{"is_primary":true,"source_match":true,"url":"https://www.anthropic.com/research/ai-expectations-gap","final_url":"https://www.anthropic.com/research/ai-expectations-gap","title":"Ai Expectations Gap","http_status":200,"content_type":"text/html; charset=utf-8","capture_method":"plain","fetched_at":"2026-10-17T00:02:35.222269+00:00","bytes":205306,"raw_path":"f67896274fc0d873e39dadc1158baa4b686bf5ae78a97fbba3374490b37c01c9.html","content_hash":"56423edd13a6e4f886b5b1b83a6a2d78a067f0b1e817261872617c8055a03a03","excerpt_chars":1200,"truncated":true,"excerpt":"The AI expectations gap \\ Anthropic Economics The AI expectations gap Oct 16, 2026 Read in PDF Szymon Sacher, Tess Cotter, Charles I. Jones, Anton Korinek, Peter McCrory Key findings US adults expect AI capabilities to advance rapidly in the coming years; Anthropic staff expect even faster progress; 39% of US adults and 91% of staff expect that AI will be able to make a Nobel-level discovery by 2030. Anthropic staff expect much larger productivity gains from AI on the tasks it is well-suited for. Among US adults who use AI at work, 26% say a task takes a quarter of the time or less with AI, compared to 59% of Anthropic staff. When it comes to their own job, over half of Anthropic staff expect AI to be able to do at least 80% of their current work by 2030, compared with 5% of US workers. Among both US workers and Anthropic staff, people who expect AI to do more of their own work anticipate higher unemployment. While there are differences in beliefs about future capabilities, the perceived link between how AI might change one’s own job and broader unemployment is very similar for both groups. Introduction How will AI reshape the economy in the years ahead? AI capabilities are..."},"evidence_pages":[{"is_primary":false,"source_match":false,"url":"https://www-cdn.anthropic.com/1bc1a3067f9c9883d6d556b38f26fd4f1e1b640f/The%20AI%20Expectations%20Gap%20-%20Appendix.pdf","final_url":"https://www-cdn.anthropic.com/1bc1a3067f9c9883d6d556b38f26fd4f1e1b640f/The%20AI%20Expectations%20Gap%20-%20Appendix.pdf","title":"Ai Expectations Gap","http_status":200,"content_type":"application/pdf","capture_method":"exa","fetched_at":"2026-10-17T00:03:04.696+00:00","bytes":519762,"raw_path":"88a871753438754479575fe5407035456e01957ff056f40e0604da096065b983.pdf","content_hash":"47958be8de48c90fbe16d18dc1047c94a3e75f3b7f0e3cfc3151c421ab7f7258","excerpt_chars":1200,"truncated":true,"excerpt":"Appendix to “The AI Expectations Gap” October 2026 A. Survey samples The survey ofthe general public was fielded by Morning Consult between August 11 and 23, 2026, and collected 16,395 completed interviews. Some respondents appeared multiple times and we included only their firstinterview which left us with 10,980 respondents. Each ofthe eight daily samples was weighted to the US adult population and, after removing repeat observations, we recomputed those weights so that our sample reproduces the full sample weighted by age and gender, race and ethnicity, education, census region, and household income. Several questions were asked randomly about 2027 and 2030, each to a half ofthe sample. The staff poll ran from August 9 to 12, 2026, and drew 1,334 respondents and every department ofthe company was represented. In the general population survey respondents could select “not sure” (chosen by between 12 and 21%); we exclude these question-by-question. The Anthropic staff poll did not include the “not sure” option, instead respondents could skip questions. When we map survey responses to model-implied forecasts, we use only the respondents who completed every required question: 3,259..."},{"is_primary":false,"source_match":false,"url":"https://www-cdn.anthropic.com/files/4zrzovbb/website/cf58f84d46a4a76bf5a5b039ac695fba6b80041c.pdf","final_url":"https://www-cdn.anthropic.com/files/4zrzovbb/website/cf58f84d46a4a76bf5a5b039ac695fba6b80041c.pdf","title":"Ai Expectations Gap","http_status":200,"content_type":"application/pdf","capture_method":"exa","fetched_at":"2026-10-17T00:03:04.407+00:00","bytes":656236,"raw_path":"1ea941f530a09fe6d70e6cd7db96361251ec92d84c2f8bdb7f7379d5b1b4fab7.pdf","content_hash":"9fe6667ec24b8a1dce3cde7c8ae5d5e6631bb95f68dae82dbd827cbfa2410327","excerpt_chars":1200,"truncated":true,"excerpt":"Economic Scenarios for Transformative AI∗ Anton Korinek, Charles I. Jones, Szymon Sacher, Tess Cotter, and Peter McCrory The Anthropic Institute Working Paper No. 2026-02 September 2026 Abstract This paper presents a framework for assessing the economic consequences of AI between 2026 and 2030. In the model, AI automates a growing share of cognitive work, raising productivity and displacing workers who must search for jobs in other occupations. The model maps future paths of AI capabilities into implied paths for GDP, the labor share, wages, labor reallocation, and unemployment. We illustrate the framework by considering three scenarios: modest, substantial, and extreme. Under modest change, AI adds less than half a point to GDP growth by 2030 and raises unemployment by a tenth of a point. In the extreme change scenario, AI has transformative effects, with AI performing almost half of today’s cognitive work by 2030. GDP growth then rises to 15 percent per year, the labor share of income falls from 60 to 45 percent, and nearly one in five cognitive workers is unemployed. We also surveyed US adults about their expectations for AI. Views vary widely, but the median respondent’s..."},{"is_primary":false,"source_match":false,"url":"https://www-cdn.anthropic.com/a28f24814c56e2834a3eae7b13946f19d3e97ec4/The%20AI%20Expectations%20Gap.pdf","final_url":"https://www-cdn.anthropic.com/a28f24814c56e2834a3eae7b13946f19d3e97ec4/The%20AI%20Expectations%20Gap.pdf","title":"Ai Expectations Gap","http_status":200,"content_type":"application/pdf","capture_method":"exa","fetched_at":"2026-10-17T00:03:04.29+00:00","bytes":1060991,"raw_path":"578cda6deacd82ad2838593f7a31c14cf7e9a940fe876c3d9b021a98f102e1e9.pdf","content_hash":"7fb32df800d6e293c08a1c0ef4f4e8a56fe3e54ef5c50b65d28a85c71bd9d321","excerpt_chars":1200,"truncated":true,"excerpt":"The AI Expectations Gap Public and FrontierLab Views on AI's Impact onWork Authors Szymon Sacher, Tess Cotter, Charles I. Jones, Anton Korinek and Peter McCrory Published October 16, 2026 Acknowledgements Scott Booth, Meredith Callan, Yena Cho, Adam Farina, Ben Fowler, Ryan Heller, Aisling Keenan, Eva Lyubich, Maxim Massenkoff, Matt Mohn (Morning Consult), Matt Monday (Morning Consult), Kerry Persen, Sarah Pollack, Santi Ruiz, Monika Tuchowska, Heather Whitney, Nathan Wilmers, Kim Withee, Charles Yang, Jack Clark, Dario Amodei Key findings 1. US adults expect AI capabilities to advance rapidly in the coming years; Anthropic staff expect even faster progress; 39% of US adults and 91% of staff expect that AI will be able to make a Nobel-level discovery by 2030. 2. Anthropic staff expect much larger productivity gains from AI on the tasks itis well-suited for. Among US adults who use AI at work, 26% say a task takes a quarter ofthe time or less with AI, compared to 59% of Anthropic staff. 3. When it comes to their own job, over half of Anthropic staff expect AI to be able to do at least 80% of their current work by 2030, compared with 5% of US workers. 4. Among both US workers and..."}],"related_signals":[{"id":"7d6ec487-6763-48f8-bd14-21c7544abca4","url":"https://onlylabs.fyi/signals/7d6ec487-6763-48f8-bd14-21c7544abca4","source_url":"https://www.anthropic.com/research/zero-days","title":"Zero Days","context":null,"kind":{"key":"post_published","label":"Writing"},"org":{"slug":"anthropic","name":"Anthropic","category":"frontier-lab"},"occurred_at":"2026-02-05T00:00:00.000Z","first_seen_at":"2026-06-17T20:00:31.646229+00:00","date_source":"page.visible_date"},{"id":"f6ee7530-aad8-444f-a772-290b240701ff","url":"https://onlylabs.fyi/signals/f6ee7530-aad8-444f-a772-290b240701ff","source_url":"https://www.anthropic.com/research/property-based-testing","title":"Property Based Testing","context":null,"kind":{"key":"post_published","label":"Writing"},"org":{"slug":"anthropic","name":"Anthropic","category":"frontier-lab"},"occurred_at":"2026-01-14T00:00:00.000Z","first_seen_at":"2026-06-17T20:00:31.646229+00:00","date_source":"page.visible_date"},{"id":"b18d4494-1bde-4128-800c-592e37b2bb51","url":"https://onlylabs.fyi/signals/b18d4494-1bde-4128-800c-592e37b2bb51","source_url":"https://www.anthropic.com/research/project-vend-2","title":"Project Vend 2","context":null,"kind":{"key":"post_published","label":"Writing"},"org":{"slug":"anthropic","name":"Anthropic","category":"frontier-lab"},"occurred_at":"2025-12-18T00:00:00.000Z","first_seen_at":"2026-06-09T02:17:26.339488+00:00","date_source":"page.visible_date"},{"id":"dcc9f140-6412-4147-aa53-118fd4e02404","url":"https://onlylabs.fyi/signals/dcc9f140-6412-4147-aa53-118fd4e02404","source_url":"https://www.anthropic.com/research/smart-contracts","title":"Smart Contracts","context":null,"kind":{"key":"post_published","label":"Writing"},"org":{"slug":"anthropic","name":"Anthropic","category":"frontier-lab"},"occurred_at":"2025-12-01T00:00:00.000Z","first_seen_at":"2026-06-17T20:00:31.646229+00:00","date_source":"page.visible_date"},{"id":"b5ffd9d4-bdf4-45ae-9386-86fa6dee7a81","url":"https://onlylabs.fyi/signals/b5ffd9d4-bdf4-45ae-9386-86fa6dee7a81","source_url":"https://www.anthropic.com/research/nuclear-safeguards-for-ai","title":"Nuclear Safeguards For Ai","context":null,"kind":{"key":"post_published","label":"Writing"},"org":{"slug":"anthropic","name":"Anthropic","category":"frontier-lab"},"occurred_at":"2025-08-21T00:00:00.000Z","first_seen_at":"2026-06-17T20:00:31.646229+00:00","date_source":"page.visible_date"},{"id":"271549ea-a84e-415a-9d8c-3a18ead586df","url":"https://onlylabs.fyi/signals/271549ea-a84e-415a-9d8c-3a18ead586df","source_url":"https://www.anthropic.com/research/cyber-toolkits","title":"Cyber Toolkits","context":null,"kind":{"key":"post_published","label":"Writing"},"org":{"slug":"anthropic","name":"Anthropic","category":"frontier-lab"},"occurred_at":"2025-06-13T00:00:00.000Z","first_seen_at":"2026-06-17T20:00:31.646229+00:00","date_source":"page.visible_date"}]}