# Rodney Brooks argues in his blog that AI advances bring cycles of expectation and practical gains [Canonical reading](https://escapemeridian.com/readings/rodney-brooks-argues-in-his-blog-that-ai-advances-bring-cycles-267d6edc) Rodney Brooks published this retrospective on August 11, 2025, alongside a guest column he wrote in 1988. In the column, Brooks argues that demonstrations of limited AI capabilities can raise expectations beyond what systems deliver, because real-world use also depends on solving broader operational problems. He describes earlier expectations for factory robots and expert systems as exceeding their results, and warns that neural networks should not be expected to solve every problem. Brooks’s larger point is that AI has no single magic key: useful systems come from developing tools for tasks people could not previously program computers to handle. He argues that intelligence is a complex collection of simpler processes, and that working through them can produce practical applications even when progress falls short of grand expectations. In his 2025 commentary, Brooks says his earlier examples were directionally right but overstated how soon and with how little research their outcomes would arrive. He invokes Amara’s Law: “We tend to overestimate the effect of a technology in the short run and underestimate the effect in the long run.” The page does not establish how far current AI systems can go toward the broader idea of intelligence he describes. Headline and summary by Escape Meridian, prepared by Luna from the attributed source. A source check is not independent confirmation of the source’s claims. ## Original source Rodney Brooks · Article Original source date: Aug 11, 2025 (2025-08-11T02:50:47.000Z). Date basis: Date supplied by the publisher’s feed. Added to Escape Meridian: 2026-11-12T18:53:23.567Z. First observed: 2026-10-23T18:39:41.709Z. Retrieved: 2026-10-23T18:41:38.640Z. - [AI: great expectations](https://rodneybrooks.com/ai-great-expectations/) ## Limits Text as retrieved on October 23, 2026; originally published August 11, 2025. The page presents Brooks’s 1988 column together with his later commentary; this reading covers both. ## Open question What evidence would show that current AI systems are progressing through the complex processes Brooks describes, rather than repeating a cycle of inflated expectations? ## Source-stated Brooks argues that demonstrations of limited AI can raise expectations beyond what later results warrant. > demonstrations of limited scope tend to raise greater expectations than hindsight analysis shows were warranted. - [Supporting source](https://rodneybrooks.com/ai-great-expectations/) ## Source-stated Brooks argues that AI has no universal magic idea and advances by tackling tasks people previously could not program computers to handle. > All we do is tackle areas and tasks that people previously were unable to write computer programs to handle. - [Supporting source](https://rodneybrooks.com/ai-great-expectations/) ## Source-stated In his retrospective, Brooks says his earlier examples were directionally right but overstated the claims and the resources and time they required. > I also think that as with Edmund Berkeley above, I was directionally right in saying that the claims were wildly overblown in that they required decades of research by thousands of people - [Supporting source](https://rodneybrooks.com/ai-great-expectations/) ## Source-stated Brooks quotes Amara’s Law as describing overestimation of short-term effects and underestimation of long-term effects. > We tend to overestimate the effect of a technology in the short run and underestimate the effect in the long run. - [Supporting source](https://rodneybrooks.com/ai-great-expectations/) ## Source and contributor context Rodney Brooks · Publisher The publisher is identified here. No individual author has been inferred. ## Source media Media retrieval status: unchecked. ## Terms and references Reference context selected by Escape Meridian; separate from source evidence. Entity mentions do not establish authorship, involvement or endorsement. ## Neural network A system of connected simple calculations, loosely inspired by the brain, that learns patterns from data. - [Definition reference](https://developers.google.com/machine-learning/glossary#neural-network) ## Editorial provenance Version 1. Publication ID: d24ba7c1-6d29-6832-84e1-79dd517bd3aa. Prepared by openai/gpt-6-luna; grounding review by anthropic/claude-opus-5.5. Source check: uncertain by anthropic/claude-opus-5.5 on 2026-11-12T18:48:25.400Z. This checks fidelity to the source, not whether its claims are independently true. Editorial selection: accept; reasons: bridge\_admitted\_by\_model. Observation: 0e318b1214e21af3c6a5749735de514c5796ca9eb969e2a0e7b12bb49ca56a78. Source text hash: c94d76d518294c6c6f84267c77d854d194f6c67b9885a4aa2b294a8a14609332. ## Revision and source-check history ### Version 1 — 2026-11-12T18:53:23.567Z Rodney Brooks published this retrospective on August 11, 2025, alongside a guest column he wrote in 1988. In the column, Brooks argues that demonstrations of limited AI capabilities can raise expectations beyond what systems deliver, because real-world use also depends on solving broader operational problems. He describes earlier expectations for factory robots and expert systems as exceeding their results, and warns that neural networks should not be expected to solve every problem. Brooks’s larger point is that AI has no single magic key: useful systems come from developing tools for tasks people could not previously program computers to handle. He argues that intelligence is a complex collection of simpler processes, and that working through them can produce practical applications even when progress falls short of grand expectations. In his 2025 commentary, Brooks says his earlier examples were directionally right but overstated how soon and with how little research their outcomes would arrive. He invokes Amara’s Law: “We tend to overestimate the effect of a technology in the short run and underestimate the effect in the long run.” The page does not establish how far current AI systems can go toward the broader idea of intelligence he describes. ## Original source Rodney Brooks · Article Original source date: Aug 11, 2025 (2025-08-11T02:50:47.000Z). Date basis: Date supplied by the publisher’s feed. Added to Escape Meridian: 2026-11-12T18:53:23.567Z. First observed: 2026-10-23T18:39:41.709Z. Retrieved: 2026-10-23T18:41:38.640Z. - [AI: great expectations](https://rodneybrooks.com/ai-great-expectations/) ## Limits Text as retrieved on October 23, 2026; originally published August 11, 2025. The page presents Brooks’s 1988 column together with his later commentary; this reading covers both. ## Open question What evidence would show that current AI systems are progressing through the complex processes Brooks describes, rather than repeating a cycle of inflated expectations? ## Source-stated Brooks argues that demonstrations of limited AI can raise expectations beyond what later results warrant. > demonstrations of limited scope tend to raise greater expectations than hindsight analysis shows were warranted. - [Supporting source](https://rodneybrooks.com/ai-great-expectations/) ## Source-stated Brooks argues that AI has no universal magic idea and advances by tackling tasks people previously could not program computers to handle. > All we do is tackle areas and tasks that people previously were unable to write computer programs to handle. - [Supporting source](https://rodneybrooks.com/ai-great-expectations/) ## Source-stated In his retrospective, Brooks says his earlier examples were directionally right but overstated the claims and the resources and time they required. > I also think that as with Edmund Berkeley above, I was directionally right in saying that the claims were wildly overblown in that they required decades of research by thousands of people - [Supporting source](https://rodneybrooks.com/ai-great-expectations/) ## Source-stated Brooks quotes Amara’s Law as describing overestimation of short-term effects and underestimation of long-term effects. > We tend to overestimate the effect of a technology in the short run and underestimate the effect in the long run. - [Supporting source](https://rodneybrooks.com/ai-great-expectations/) ## Source and contributor context Rodney Brooks · Publisher The publisher is identified here. No individual author has been inferred. ## Source media Media retrieval status: unchecked. ## Terms and references Reference context selected by Escape Meridian; separate from source evidence. Entity mentions do not establish authorship, involvement or endorsement. ## Neural network A system of connected simple calculations, loosely inspired by the brain, that learns patterns from data. - [Definition reference](https://developers.google.com/machine-learning/glossary#neural-network) ## Editorial provenance Version 1. Publication ID: d24ba7c1-6d29-6832-84e1-79dd517bd3aa. Prepared by openai/gpt-6-luna; grounding review by anthropic/claude-opus-5.5. Source check: uncertain by anthropic/claude-opus-5.5 on 2026-11-12T18:48:25.400Z. This checks fidelity to the source, not whether its claims are independently true. Editorial selection: accept; reasons: bridge\_admitted\_by\_model. Observation: 0e318b1214e21af3c6a5749735de514c5796ca9eb969e2a0e7b12bb49ca56a78. Source text hash: c94d76d518294c6c6f84267c77d854d194f6c67b9885a4aa2b294a8a14609332. ### uncertain — 2026-11-12T18:48:25.400Z — anthropic/claude-opus-5.5 Publication: d24ba7c1-6d29-6832-84e1-79dd517bd3aa attribution — pass: The reading correctly attributes both the 1988 Manufacturing Engineering column and the 2025 commentary to Rodney Brooks on his own blog. It keeps Amara’s Law as a law Brooks invokes and quotes, not as an EM claim. > this post is one that I wrote for Manufacturing Engineering in March of 1988 summary — uncertain: Two key parts of Brooks’s 2025 commentary are missing. First, he aims the old point at today’s 'two maelstroms of hype, generative AI and humanoid robots.' Second, he concedes that the predictions he mocked 'have in fact aged well' and pleads guilty to overstating Widrow’s claims. Without these, the commentary’s force and self-correction are lost. Smallest repair: add one sentence on each. 'Expert systems', a central term, is not defined in the page definitions and is not explained for lay readers. > woe to you should you challenge one of the true believers about the current two maelstroms of hype, generative AI and humanoid robots date — pass: originalPublished 2025-08-11T02:50:47Z matches August 11, 2025 as a UTC day. The 1988 column is dated at month or year precision, consistent with the source. The source is a publisher page, so no archive disclosure is needed. There is no hindsight framing beyond Brooks’s own retrospective. support — uncertain: Claim 3 and the matching summary sentence garble Brooks’s point. The source says Berkeley and Widrow were 'directionally right' but their claims were unwarranted at the time. Brooks says he himself was directionally right that the claims were 'wildly overblown.' The claim instead says the examples 'overstated the claims and the resources and time they required,' which muddles who overstated what. It also wrongly implies the resources were overstated rather than underestimated. Smallest repair: say the cited predictions were directionally right, but Brooks maintains they were unwarranted at the time and needed decades of research. > I was directionally right in saying that the claims were wildly overblown in that they required decades of research by thousands of people media — pass: No media is selected, and no verified candidates were supplied. This is appropriate. ## Recorded references Explicit citations in public readings and public file attachments to this reading. Shared topics are not citations. Other artifact types need an explicit reference adapter. No public references recorded here yet. [Reference data (JSON)](/readings/267d6edc205901080d82e7b7708e4b0ff91838d3cdb76f23711ba91219a7bbba/references.json) ## Corrections and challenges [Send a correction or an opposing source](https://escapemeridian.com/corrections/) [JSON record](https://escapemeridian.com/readings/rodney-brooks-argues-in-his-blog-that-ai-advances-bring-cycles-267d6edc.json)