{"schema_version":"2026-09-05.topic-graph-v1","canonical_url":"https://www.manufacturing.ai/topics/agentic-ai","topic":{"slug":"agentic-ai","name":"Agentic AI in Manufacturing: ROI Claims Against Failure Rates","description":"A sourced reference collection on autonomous AI agents in industrial operations — what vendors have actually shipped, what results they claim, and why the published success and failure rates cannot all be true at once.","coverage_notes":"Tenth packet through the pipeline, rebuilt in September 2026 with a neutral baseline it previously lacked. (Original note, August 2026: Three sources were directly retrieved and two are recorded as references only: Gartner's press release and a trade reproduction of it both returned HTTP 403. That gap shapes the collection, because Gartner's over-40% cancellation prediction is the most-quoted figure in the subject and it reaches these pages only at one remove — its poll, sample size and the related 'agent washing' vendor estimate are absent entirely. The central assertion here is not a fact but an incoherence: reported failure and cancellation rates of 40%, 50%, 76.4% and 80% sit alongside a reported 171% average return on investment and a four-to-eight-month payback, in the same article, unreconciled. Both halves are recorded with their attributions and the contradiction stated. All quantified deployment results in this collection originate with the vendor that sells the product, and are labelled as targets or pilot figures rather than audited outcomes. Siemens and Rockwell Automation appear carrying placeholder descriptions inherited from an earlier development catalog; those are restated unchanged rather than overwritten, and need editorial correction. Not yet editor-reviewed; every assertion reads as reported.) Stanford's AI Index was added as the neutral counterweight to vendor case studies and analyst forecasts alike, and its own qualification that reported effects are most commonly at low levels is carried into the assertion rather than dropped. The Gartner gap remains: re-checked in a later session, that publisher serves a human-verification challenge which this project will not attempt to defeat, so the most-quoted figure in the subject is still held at one remove.","primer":"This is the topic on this site where the published numbers most obviously cannot all be true at once, and the collection is built around that rather than around a resolution of it. Vendors publish case studies with large returns. Analysts forecast that a large share of agentic AI projects will be cancelled. Adoption surveys report near-universal experimentation. All three can be simultaneously accurate only if most deployments are small, most benefits are modest, and most ambitious projects fail — which is roughly what the neutral data suggests.\n\nThe neutral data comes from Stanford's AI Index, which compiled organisational AI use rising to 78% of surveyed respondents in 2024 from 55% a year earlier, and regular generative AI use in at least one business function more than doubling from 33% to 71%. Among business functions, the ones nearest to industrial operations lead on reported cost savings: supply chain and inventory management at 61%, service operations at 58%. The compilation's own qualification is the sentence to keep: those cost and revenue effects are reported “most commonly at low levels”.\n\nWidespread adoption producing small measured effects is not a contradiction of either the vendor case studies or the cancellation forecasts. It is what you would expect if the easy wins are real but bounded, and the ambitious autonomous deployments — the ones that would justify the word agentic — are mostly still failing to reach production.\n\nWhat is missing is named. The most-quoted figure in this subject, an analyst prediction that over 40% of agentic AI projects will be cancelled, reaches these pages only at one remove: the original press release returned HTTP 403 to the fetcher and, on a later attempt, a human-verification challenge that this project will not attempt to defeat. Its poll, sample size and the related vendor ‘agent washing’ estimate are absent entirely, and no assertion here rests on the figure alone.","primer_note":"Manufacturing.ai's own editorial synthesis, not evidence. Every factual statement in it is separately asserted and sourced in this response's concepts and events.","reviewed_through_date":null,"source_count":4,"inspected_source_count":4,"consulted_reference_count":2,"blocked_reference_count":2,"set_aside_reference_count":0},"figures":[{"kind":"time-series","title":"Adoption climbed; the effects stayed small","caption":"Share of surveyed organisations using AI in at least one business function. The rise is real — the compilation that reports it also says the resulting cost and revenue effects are most commonly at low levels.","sourceNote":"Stanford AI Index Report 2025, compiling McKinsey’s 2024 survey. Survey responses about organisational use, not audited deployments, and a consultancy’s sample compiled by an academic institute rather than an independent measurement.","unit":"Surveyed organisations using AI, per cent","points":[{"label":"2023","value":55,"display":"55%"},{"label":"2024","value":78,"display":"78%"}]},{"kind":"composition","title":"Where the cost savings are reported","caption":"Share of respondents reporting cost decreases, by business function. The two functions closest to industrial operations lead — which is the strongest signal in this collection that the technology does something.","sourceNote":"Stanford AI Index Report 2025, compiling McKinsey’s 2024 survey. These are shares of respondents reporting any cost decrease in that function, not the size of the decrease; the report states the effects are most commonly at low levels. The parts overlap and do not sum to a whole.","totalDisplay":"% of respondents, by function","parts":[{"label":"Supply chain and inventory","value":61,"display":"61%"},{"label":"Service operations","value":58,"display":"58%"},{"label":"Human resources","value":56,"display":"56%"},{"label":"Strategy and corporate finance","value":56,"display":"56%"}]}],"blocked_references":[{"title":"Gartner Predicts Over 40% of Agentic AI Projects Will Be Canceled by End of 2027","publisher":"Gartner","url":"https://www.gartner.com/en/newsroom/press-releases/2025-06-25-gartner-predicts-over-40-percent-of-agentic-ai-projects-will-be-canceled-by-end-of-2027","source_type":"press_release","retrieval_status":"blocked_403","content_inspected":false,"published_at":null},{"title":"Gartner Predicts Over 40% of Agentic AI Projects Will Be Canceled by End of 2027 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Current availability has not been rechecked; the publisher may replace the file."}]}}]}]},{"slug":"industrial-copilot","name":"Industrial Copilot","category":"other","canonical_url":"https://www.manufacturing.ai/topics/agentic-ai#industrial-copilot","assertions":[{"id":"5fed4eb1-be6c-4043-928c-666dc0aa1aaa","predicate":"concept.description","statement":"Siemens' Industrial Copilot family spans NX CAD design, TIA Portal code generation, Insights Hub operations and Senseye maintenance, with a stated target of up to 50% customer productivity improvement and a reported 25% reduction in reactive maintenance time from Senseye pilots — all figures the vendor's own.","assessment":"reported","editor_reviewed":false,"reference_only_source_count":0,"evidence":[{"id":"98c9c6db-3b8b-473b-9c3e-69030083576b","stance":"supports","is_primary_for_assertion":false,"origin_independence":"unknown","note":null,"quote":null,"source":{"title":"Agentic AI in Manufacturing: ROI vs. Reality","publisher":"IIoT World","url":"https://www.iiot-world.com/artificial-intelligence-ml/agentic-ai-manufacturing-2026/","source_type":"journalism","retrieval_status":"fetched","content_inspected":true,"published_at":"2026-08-21","documents":[]}},{"id":"c8c90350-e44e-4429-a300-32fdaa477552","stance":"supports","is_primary_for_assertion":true,"origin_independence":"unknown","note":null,"quote":null,"source":{"title":"Siemens introduces AI agents for industrial automation","publisher":"Siemens","url":"https://press.siemens.com/global/en/pressrelease/siemens-introduces-ai-agents-industrial-automation","source_type":"press_release","retrieval_status":"fetched","content_inspected":true,"published_at":"2025-05-12","documents":[]}},{"id":"1172dc43-ac00-4d91-a159-9ae0246aa6b3","stance":"qualifies","is_primary_for_assertion":false,"origin_independence":"unknown","note":null,"quote":null,"source":{"title":"Siemens introduces AI agents for industrial automation","publisher":"Siemens","url":"https://press.siemens.com/global/en/pressrelease/siemens-introduces-ai-agents-industrial-automation","source_type":"press_release","retrieval_status":"fetched","content_inspected":true,"published_at":"2025-05-12","documents":[]}}]}]}],"events":[{"slug":"siemens-industrial-ai-agents-launch-2025","title":"Siemens Introduces Industrial AI Agents at Automate 2025","category":"technology_generation_milestone","event_date":"2025-05-12","date_precision":"day","country":"United States","region":"North America","canonical_url":"https://www.manufacturing.ai/topics/agentic-ai#siemens-industrial-ai-agents-launch-2025","assertions":[{"id":"02e3af4b-6782-4664-bffd-977241394a5b","predicate":"event.description","statement":"On 12 May 2025 at Automate 2025 in Detroit, Siemens introduced industrial AI agents across NX CAD, TIA Portal, Insights Hub and Senseye within its Industrial Copilot ecosystem, stating a target of up to 50% customer productivity improvement and reporting a 25% reduction in reactive maintenance time from Senseye pilots.","assessment":"reported","editor_reviewed":false,"reference_only_source_count":0,"evidence":[{"id":"58cf77d7-72ed-4147-b5fb-03d30494196e","stance":"supports","is_primary_for_assertion":true,"origin_independence":"unknown","note":null,"quote":null,"source":{"title":"Siemens introduces AI agents for industrial automation","publisher":"Siemens","url":"https://press.siemens.com/global/en/pressrelease/siemens-introduces-ai-agents-industrial-automation","source_type":"press_release","retrieval_status":"fetched","content_inspected":true,"published_at":"2025-05-12","documents":[]}},{"id":"8402c9ba-65e7-4e98-99af-07ce1395c062","stance":"qualifies","is_primary_for_assertion":false,"origin_independence":"unknown","note":null,"quote":null,"source":{"title":"Siemens introduces AI agents for industrial automation","publisher":"Siemens","url":"https://press.siemens.com/global/en/pressrelease/siemens-introduces-ai-agents-industrial-automation","source_type":"press_release","retrieval_status":"fetched","content_inspected":true,"published_at":"2025-05-12","documents":[]}}]}]}],"policy":{"publication_model":"transparency","evidence_entries_may_share_a_source":true,"linked_documents_do_not_add_verification":true,"correction_intake_available":false,"assessment_meanings":{"primary-source confirmed":"Editor-reviewed against a first-party source.","cross-source corroborated":"Editor-confirmed across two independent origins.","reported":"Supported by the attached sources; not yet editor-reviewed.","disputed":"Sources conflict; competing accounts are both attached.","superseded":"Replaced by a newer assertion.","unverified":"No supporting evidence attached."},"evidence_eligibility":"`evidence[]` contains only sources whose content was actually retrieved and read (`content_inspected: true`). 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