{"id":93616,"topic":"ai","source":"HousingWire","title":"AI anxiety in real estate follows a familiar technology cycle - HousingWire","url":"https://www.housingwire.com/articles/ai-anxiety-in-real-estate-follows-a-familiar-technology-cycle/","url_hash":"aba6084c2b8da09ebbd7df46305f470474a2d560","author":"","summary":"AI anxiety in real estate follows a familiar technology cycle HousingWire","content":"If you think AI is the first technology accused of making people lazy and hollowing out real skill, spend 10 minutes with the history of the calculator. Or the camera. Or the book.\nThe names change. The complaint doesn’t. People will stop thinking for themselves. Expertise will lose its value. Something essential about the work will disappear.\nWe hear a version of this from agents every week. A tool writes a listing description in eight seconds, or builds a net sheet or answers a buyer’s HOA question before the agent gets to it, and the reaction lands somewhere between “this is cheating” and “this is the end of us.” That reaction has a long track record. Before you trust it, look at the record.\nOur first response to anything unfamiliar works like an immune system\nSomething new shows up and we scan for what it might damage. That reflex protects us sometimes. It also makes opportunity look like a threat before we understand either one. And it’s personal. You spent years getting good at this. Then someone shows you a tool that does a piece of your job in seconds, and what you hear is a question about your future. A 2016 University College London study found people were more stressed when they didn’t know whether a shock was coming than when they knew it was. Not knowing is its own pain. It’s also far easier to picture losing what you have than to picture a benefit you’ve never experienced.\nWriting itself was the first suspect. In Plato’s Phaedrus, Socrates argues that writing would weaken memory and give people the appearance of wisdom without the substance. Same worry agents raise about AI today, and we only know it because somebody wrote it down.\nWhen the printing press spread, a Benedictine abbot named Johannes Trithemius published In Praise of Scribes in 1494, defending hand copying and warning a paper book might last only 200 years. He had it printed. He used the press to grow his own library. He liked the tool and feared what it would displace, at the same time. That’s most of us.\nPhotography hit the question of skill directly. In 1859 Charles Baudelaire dismissed it as a threat to art: a machine could produce a likeness without its operator ever learning to paint. Painting survived. Photography became its own demanding craft. The camera changed the labor of making an image. It didn’t change the value of knowing what was worth pointing it at.\nEven Thomas Edison ran the play. During the War of the Currents he campaigned against alternating current as a public danger while his direct-current business sat on the line. By 1896, AC from Niagara Falls was lighting Buffalo. When someone tells you a technology is dangerous, ask two things: have they found a real hazard, and do they have a livelihood at stake? Both can be true.\nIn 1986 math teachers protested calculators under signs reading “Beware: Premature Calculator Usage May Be Harmful to Your Child’s Education.” The question underneath was a good one and still is: how do you use a powerful tool while making sure you understand the work? The National Council of Teachers of Mathematics settled on selective use. Anyone can punch in numbers. Knowing which numbers belong in the problem, and spotting an answer that can’t be right, still takes a brain. That’s the standard to hold AI to in your business.\nThe spreadsheet is the example agents should think about hardest\nVisiCalc didn’t set off a panic; Dan Bricklin said most magazines ignored it. But it let a business owner change the price, adjust the expenses and see the result instantly. When recalculating is free, you explore more scenarios. Count only the arithmetic that disappeared and you miss the decisions that got better. Every forecast about AI and agent jobs that only counts the tasks a machine can do is making that mistake.\nThen, along came the internet. In a 1995 Newsweek essay, Clifford Stoll called predictions about online commerce and remote work “baloney” and wrote that “no online database will replace your daily newspaper.” Stoll knew networks cold. That’s the point. Knowing how a thing works today tells you almost nothing about what people will build with it next year.\nNone of this means the skeptics are wrong about everything\nThe internet did real damage alongside the real good, and AI will too. What history exposes is the certainty: the assumption that a tool making work easier means the worker must decline. Fatalism dresses up as realism. It sounds sophisticated to say the agent is finished. That’s an enormous prediction, and it deserves at least as much scrutiny as the vendor promising AI will do everything for you.\nSo here’s what to do. Learn enough to test the tool yourself. Study where it gets things wrong. Decide which parts of a transaction require your judgment and won’t be delegated. Then measure whether it improved the work, in closed deals, not in vibes. You can demand safeguards while you build competence. You can distrust the marketing while finding one use that saves you four hours a week.\nWe can always describe the work a new technology threatens long before we can describe the work it makes possible. Give that second question some of your attention. History says it earns more than it usually gets.\nTim and Julie Harris are the founders of Tim & Julie Harris Real Estate Coaching. \nThis column does not necessarily reflect the opinion of HousingWire’s editorial department and its owners.\nTo contact the editor responsible for this piece: [email protected]","image_url":"https://www.housingwire.com/wp-content/uploads/2026/09/ChatGPT-Image-Sep-30-2026-10_36_03-AM.png","lang":"en","published_at":"2026-09-30T14:37:12+00:00","fetched_at":"2026-09-30T15:15:07+00:00","status":"read","starred":0,"extract_state":"ok","summary_auto":"If you think AI is the first technology accused of making people lazy and hollowing out real skill, spend 10 minutes with the history of the calculator. 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Or the camera. Or the book.\nThe names change. The complaint doesn’t. People will stop thinking for themselves. Expertise will lose its value. Something essential about the work will disappear.\nWe hear a version of this from agents every week. A tool writes a listing description in eight seconds, or builds a net sheet or answers a buyer’s HOA question before the agent gets to it, and the reaction lands somewhere between “this is cheating” and “this is the end of us.” That reaction has a long track record. Before you trust it, look at the record.\nOur first response to anything unfamiliar works like an immune system\nSomething new shows up and we scan for what it might damage. That reflex protects us sometimes. It also makes opportunity look like a threat before we understand either one. And it’s personal. You spent years getting good at this. Then someone shows you a tool that does a piece of your job in seconds, and what you hear is a question about your future. A 2016 University College London study found people were more stressed when they didn’t know whether a shock was coming than when they knew it was. Not knowing is its own pain. It’s also far easier to picture losing what you have than to picture a benefit you’ve never experienced.\nWriting itself was the first suspect. In Plato’s Phaedrus, Socrates argues that writing would weaken memory and give people the appearance of wisdom without the substance. Same worry agents raise about AI today, and we only know it because somebody wrote it down.\nWhen the printing press spread, a Benedictine abbot named Johannes Trithemius published In Praise of Scribes in 1494, defending hand copying and warning a paper book might last only 200 years. He had it printed. He used the press to grow his own library. He liked the tool and feared what it would displace, at the same time. That’s most of us.\nPhotography hit the question of skill directly. In 1859 Charles Baudelaire dismissed it as a threat to art: a machine could produce a likeness without its operator ever learning to paint. Painting survived. Photography became its own demanding craft. The camera changed the labor of making an image. It didn’t change the value of knowing what was worth pointing it at.\nEven Thomas Edison ran the play. During the War of the Currents he campaigned against alternating current as a public danger while his direct-current business sat on the line. By 1896, AC from Niagara Falls was lighting Buffalo. When someone tells you a technology is dangerous, ask two things: have they found a real hazard, and do they have a livelihood at stake? Both can be true.\nIn 1986 math teachers protested calculators under signs reading “Beware: Premature Calculator Usage May Be Harmful to Your Child’s Education.” The question underneath was a good one and still is: how do you use a powerful tool while making sure you understand the work? The National Council of Teachers of Mathematics settled on selective use. Anyone can punch in numbers. Knowing which numbers belong in the problem, and spotting an answer that can’t be right, still takes a brain. That’s the standard to hold AI to in your business.\nThe spreadsheet is the example agents should think about hardest\nVisiCalc didn’t set off a panic; Dan Bricklin said most magazines ignored it. But it let a business owner change the price, adjust the expenses and see the result instantly. When recalculating is free, you explore more scenarios. Count only the arithmetic that disappeared and you miss the decisions that got better. Every forecast about AI and agent jobs that only counts the tasks a machine can do is making that mistake.\nThen, along came the internet. In a 1995 Newsweek essay, Clifford Stoll called predictions about online commerce and remote work “baloney” and wrote that “no online database will replace your daily newspaper.” Stoll knew networks cold. That’s the point. Knowing how a thing works today tells you almost nothing about what people will build with it next year.\nNone of this means the skeptics are wrong about everything\nThe internet did real damage alongside the real good, and AI will too. What history exposes is the certainty: the assumption that a tool making work easier means the worker must decline. Fatalism dresses up as realism. It sounds sophisticated to say the agent is finished. That’s an enormous prediction, and it deserves at least as much scrutiny as the vendor promising AI will do everything for you.\nSo here’s what to do. Learn enough to test the tool yourself. Study where it gets things wrong. Decide which parts of a transaction require your judgment and won’t be delegated. Then measure whether it improved the work, in closed deals, not in vibes. You can demand safeguards while you build competence. You can distrust the marketing while finding one use that saves you four hours a week.\nWe can always describe the work a new technology threatens long before we can describe the work it makes possible. Give that second question some of your attention. History says it earns more than it usually gets.\nTim and Julie Harris are the founders of Tim & Julie Harris Real Estate Coaching. \nThis column does not necessarily reflect the opinion of HousingWire’s editorial department and its owners.\nTo contact the editor responsible for this piece: [email protected]","excerpt":"If you think AI is the first technology accused of making people lazy and hollowing out real skill, spend 10 minutes with the history of the calculator. 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A tool writes a listing description in eight seconds, or builds a net sheet or answers a buyer’s HOA question before the agent gets to it, and the reaction lands somewhere between “this is cheating” and “this is the end of us.” That reaction has a long track record. Before you trust it, look at the record.\nOur first response to anything unfamiliar works like an immune system\nSomething new shows up and we scan for what it might damage. That reflex protects us sometimes. It also makes opportunity look like a threat before we understand either one. And it’s personal. You spent years getting good at this. Then someone shows you a tool that does a piece of your job in seconds, and what you hear is a question about your future. A 2016 University College London study found people were more stressed when they didn’t know whether a shock was coming than when they knew it was. Not knowing is its own pain. It’s also far easier to picture losing what you have than to picture a benefit you’ve never experienced.\nWriting itself was the first suspect. In Plato’s Phaedrus, Socrates argues that writing would weaken memory and give people the appearance of wisdom without the substance. Same worry agents raise about AI today, and we only know it because somebody wrote it down.\nWhen the printing press spread, a Benedictine abbot named Johannes Trithemius published In Praise of Scribes in 1494, defending hand copying and warning a paper book might last only 200 years. He had it printed. He used the press to grow his own library. He liked the tool and feared what it would displace, at the same time. That’s most of us.\nPhotography hit the question of skill directly. In 1859 Charles Baudelaire dismissed it as a threat to art: a machine could produce a likeness without its operator ever learning to paint. Painting survived. Photography became its own demanding craft. The camera changed the labor of making an image. It didn’t change the value of knowing what was worth pointing it at.\nEven Thomas Edison ran the play. During the War of the Currents he campaigned against alternating current as a public danger while his direct-current business sat on the line. By 1896, AC from Niagara Falls was lighting Buffalo. When someone tells you a technology is dangerous, ask two things: have they found a real hazard, and do they have a livelihood at stake? Both can be true.\nIn 1986 math teachers protested calculators under signs reading “Beware: Premature Calculator Usage May Be Harmful to Your Child’s Education.” The question underneath was a good one and still is: how do you use a powerful tool while making sure you understand the work? The National Council of Teachers of Mathematics settled on selective use. Anyone can punch in numbers. Knowing which numbers belong in the problem, and spotting an answer that can’t be right, still takes a brain. That’s the standard to hold AI to in your business.\nThe spreadsheet is the example agents should think about hardest\nVisiCalc didn’t set off a panic; Dan Bricklin said most magazines ignored it. But it let a business owner change the price, adjust the expenses and see the result instantly. When recalculating is free, you explore more scenarios. Count only the arithmetic that disappeared and you miss the decisions that got better. Every forecast about AI and agent jobs that only counts the tasks a machine can do is making that mistake.\nThen, along came the internet. In a 1995 Newsweek essay, Clifford Stoll called predictions about online commerce and remote work “baloney” and wrote that “no online database will replace your daily newspaper.” Stoll knew networks cold. That’s the point. Knowing how a thing works today tells you almost nothing about what people will build with it next year.\nNone of this means the skeptics are wrong about everything\nThe internet did real damage alongside the real good, and AI will too. What history exposes is the certainty: the assumption that a tool making work easier means the worker must decline. Fatalism dresses up as realism. It sounds sophisticated to say the agent is finished. That’s an enormous prediction, and it deserves at least as much scrutiny as the vendor promising AI will do everything for you.\nSo here’s what to do. Learn enough to test the tool yourself. Study where it gets things wrong. Decide which parts of a transaction require your judgment and won’t be delegated. Then measure whether it improved the work, in closed deals, not in vibes. You can demand safeguards while you build competence. You can distrust the marketing while finding one use that saves you four hours a week.\nWe can always describe the work a new technology threatens long before we can describe the work it makes possible. Give that second question some of your attention. History says it earns more than it usually gets.\nTim and Julie Harris are the founders of Tim & Julie Harris Real Estate Coaching. \nThis column does not necessarily reflect the opinion of HousingWire’s editorial department and its owners.\nTo contact the editor responsible for this piece: [email protected]","confidence":0.9,"diagnostics_url":"/api/diagnose?url=https%3A//www.housingwire.com/articles/ai-anxiety-in-real-estate-follows-a-familiar-technology-cycle/","quality_bucket":"high","failure_kind":"none","retryable":false,"quality_reason":"High confidence: full text extraction produced 5479 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 5479 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":5479,"summary_length":419,"usable_text_length":5479,"source_field":"content"},"legacy_collapsed":false,"signals":{"extract_state":"ok","extract_error":null,"extract_retries":0,"content_length":5479,"summary_length":419}},"tags":[]},"fallback_formats":["markdown","json","html"],"actions":{"read":"/item/93616","export_markdown":"/api/items/93616/export?format=markdown","export_json":"/api/items/93616/export?format=json","diagnose":"/api/diagnose?url=https%3A//www.housingwire.com/articles/ai-anxiety-in-real-estate-follows-a-familiar-technology-cycle/"},"formats":{"full":{"id":93616,"title":"AI anxiety in real estate follows a familiar technology cycle - HousingWire","url":"https://www.housingwire.com/articles/ai-anxiety-in-real-estate-follows-a-familiar-technology-cycle/","source":"HousingWire","author":null,"published_at":"2026-09-30T14:37:12+00:00","locale":"en","topic":"ai","tags":[],"excerpt":"If you think AI is the first technology accused of making people lazy and hollowing out real skill, spend 10 minutes with the history of the calculator. 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Before you trust it, look at the record.\nOur first response to anything unfamiliar works like an immune system\nSomething new shows up and we scan for what it might damage. That reflex protects us sometimes. It also makes opportunity look like a threat before we understand either one. And it’s personal. You spent years getting good at this. Then someone shows you a tool that does a piece of your job in seconds, and what you hear is a question about your future. A 2016 University College London study found people were more stressed when they didn’t know whether a shock was coming than when they knew it was. Not knowing is its own pain. It’s also far easier to picture losing what you have than to picture a benefit you’ve never experienced.\nWriting itself was the first suspect. In Plato’s Phaedrus, Socrates argues that writing would weaken memory and give people the appearance of wisdom without the substance. Same worry agents raise about AI today, and we only know it because somebody wrote it down.\nWhen the printing press spread, a Benedictine abbot named Johannes Trithemius published In Praise of Scribes in 1494, defending hand copying and warning a paper book might last only 200 years. He had it printed. He used the press to grow his own library. He liked the tool and feared what it would displace, at the same time. That’s most of us.\nPhotography hit the question of skill directly. In 1859 Charles Baudelaire dismissed it as a threat to art: a machine could produce a likeness without its operator ever learning to paint. Painting survived. Photography became its own demanding craft. The camera changed the labor of making an image. It didn’t change the value of knowing what was worth pointing it at.\nEven Thomas Edison ran the play. During the War of the Currents he campaigned against alternating current as a public danger while his direct-current business sat on the line. 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When recalculating is free, you explore more scenarios. Count only the arithmetic that disappeared and you miss the decisions that got better. Every forecast about AI and agent jobs that only counts the tasks a machine can do is making that mistake.\nThen, along came the internet. In a 1995 Newsweek essay, Clifford Stoll called predictions about online commerce and remote work “baloney” and wrote that “no online database will replace your daily newspaper.” Stoll knew networks cold. That’s the point. Knowing how a thing works today tells you almost nothing about what people will build with it next year.\nNone of this means the skeptics are wrong about everything\nThe internet did real damage alongside the real good, and AI will too. What history exposes is the certainty: the assumption that a tool making work easier means the worker must decline. Fatalism dresses up as realism. It sounds sophisticated to say the agent is finished. That’s an enormous prediction, and it deserves at least as much scrutiny as the vendor promising AI will do everything for you.\nSo here’s what to do. Learn enough to test the tool yourself. Study where it gets things wrong. Decide which parts of a transaction require your judgment and won’t be delegated. Then measure whether it improved the work, in closed deals, not in vibes. You can demand safeguards while you build competence. You can distrust the marketing while finding one use that saves you four hours a week.\nWe can always describe the work a new technology threatens long before we can describe the work it makes possible. Give that second question some of your attention. History says it earns more than it usually gets.\nTim and Julie Harris are the founders of Tim & Julie Harris Real Estate Coaching. \nThis column does not necessarily reflect the opinion of HousingWire’s editorial department and its owners.\nTo contact the editor responsible for this piece: [email protected]","reading_time_min":5,"extraction":{"state":"ok","confidence":0.9,"error":null,"explanation":"High confidence: full text extraction produced 5479 characters.","diagnostics_url":"/api/diagnose?url=https%3A//www.housingwire.com/articles/ai-anxiety-in-real-estate-follows-a-familiar-technology-cycle/","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 5479 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":5479,"summary_length":419,"usable_text_length":5479,"source_field":"content"},"legacy_collapsed":false,"signals":{"extract_state":"ok","extract_error":null,"extract_retries":0,"content_length":5479,"summary_length":419}}},"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 5479 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":5479,"summary_length":419,"usable_text_length":5479,"source_field":"content"},"legacy_collapsed":false,"signals":{"extract_state":"ok","extract_error":null,"extract_retries":0,"content_length":5479,"summary_length":419}},"actions":{"read":"/item/93616","export_markdown":"/api/items/93616/export?format=markdown","export_json":"/api/items/93616/export?format=json","diagnose":"/api/diagnose?url=https%3A//www.housingwire.com/articles/ai-anxiety-in-real-estate-follows-a-familiar-technology-cycle/"}},"digest":{"id":93616,"title":"AI anxiety in real estate follows a familiar technology cycle - HousingWire","url":"https://www.housingwire.com/articles/ai-anxiety-in-real-estate-follows-a-familiar-technology-cycle/","source":"HousingWire","topic":"ai","published_at":"2026-09-30T14:37:12+00:00","excerpt":"If you think AI is the first technology accused of making people lazy and hollowing out real skill, spend 10 minutes with the history of the calculator. 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A tool writes a listing description in eight seconds, or builds a…","badges":["quality:high"],"links":{"read":"/item/93616","original":"https://www.housingwire.com/articles/ai-anxiety-in-real-estate-follows-a-familiar-technology-cycle/","diagnose":"/api/diagnose?url=https%3A//www.housingwire.com/articles/ai-anxiety-in-real-estate-follows-a-familiar-technology-cycle/"},"quality_warning":null},"export":{"title":"AI anxiety in real estate follows a familiar technology cycle - HousingWire","url":"https://www.housingwire.com/articles/ai-anxiety-in-real-estate-follows-a-familiar-technology-cycle/","summary":"If you think AI is the first technology accused of making people lazy and hollowing out real skill, spend 10 minutes with the history of the calculator. A tool writes a listing description in eight seconds, or builds a net sheet or answers a buyer’s HOA question before the agent gets to it, and the reaction lands somewhere between “this is cheating” and “this is the end of us.” That reaction has a long track record.","source":"HousingWire","date":"2026-09-30T14:37:12+00:00","content":"If you think AI is the first technology accused of making people lazy and hollowing out real skill, spend 10 minutes with the history of the calculator. Or the camera. Or the book.\nThe names change. The complaint doesn’t. People will stop thinking for themselves. Expertise will lose its value. Something essential about the work will disappear.\nWe hear a version of this from agents every week. A tool writes a listing description in eight seconds, or builds a net sheet or answers a buyer’s HOA question before the agent gets to it, and the reaction lands somewhere between “this is cheating” and “this is the end of us.” That reaction has a long track record. Before you trust it, look at the record.\nOur first response to anything unfamiliar works like an immune system\nSomething new shows up and we scan for what it might damage. That reflex protects us sometimes. It also makes opportunity look like a threat before we understand either one. And it’s personal. You spent years getting good at this. Then someone shows you a tool that does a piece of your job in seconds, and what you hear is a question about your future. A 2016 University College London study found people were more stressed when they didn’t know whether a shock was coming than when they knew it was. Not knowing is its own pain. It’s also far easier to picture losing what you have than to picture a benefit you’ve never experienced.\nWriting itself was the first suspect. In Plato’s Phaedrus, Socrates argues that writing would weaken memory and give people the appearance of wisdom without the substance. Same worry agents raise about AI today, and we only know it because somebody wrote it down.\nWhen the printing press spread, a Benedictine abbot named Johannes Trithemius published In Praise of Scribes in 1494, defending hand copying and warning a paper book might last only 200 years. He had it printed. He used the press to grow his own library. He liked the tool and feared what it would displace, at the same time. That’s most of us.\nPhotography hit the question of skill directly. In 1859 Charles Baudelaire dismissed it as a threat to art: a machine could produce a likeness without its operator ever learning to paint. Painting survived. Photography became its own demanding craft. The camera changed the labor of making an image. It didn’t change the value of knowing what was worth pointing it at.\nEven Thomas Edison ran the play. During the War of the Currents he campaigned against alternating current as a public danger while his direct-current business sat on the line. By 1896, AC from Niagara Falls was lighting Buffalo. When someone tells you a technology is dangerous, ask two things: have they found a real hazard, and do they have a livelihood at stake? Both can be true.\nIn 1986 math teachers protested calculators under signs reading “Beware: Premature Calculator Usage May Be Harmful to Your Child’s Education.” The question underneath was a good one and still is: how do you use a powerful tool while making sure you understand the work? The National Council of Teachers of Mathematics settled on selective use. Anyone can punch in numbers. Knowing which numbers belong in the problem, and spotting an answer that can’t be right, still takes a brain. That’s the standard to hold AI to in your business.\nThe spreadsheet is the example agents should think about hardest\nVisiCalc didn’t set off a panic; Dan Bricklin said most magazines ignored it. But it let a business owner change the price, adjust the expenses and see the result instantly. When recalculating is free, you explore more scenarios. Count only the arithmetic that disappeared and you miss the decisions that got better. Every forecast about AI and agent jobs that only counts the tasks a machine can do is making that mistake.\nThen, along came the internet. In a 1995 Newsweek essay, Clifford Stoll called predictions about online commerce and remote work “baloney” and wrote that “no online database will replace your daily newspaper.” Stoll knew networks cold. That’s the point. Knowing how a thing works today tells you almost nothing about what people will build with it next year.\nNone of this means the skeptics are wrong about everything\nThe internet did real damage alongside the real good, and AI will too. What history exposes is the certainty: the assumption that a tool making work easier means the worker must decline. Fatalism dresses up as realism. It sounds sophisticated to say the agent is finished. That’s an enormous prediction, and it deserves at least as much scrutiny as the vendor promising AI will do everything for you.\nSo here’s what to do. Learn enough to test the tool yourself. Study where it gets things wrong. Decide which parts of a transaction require your judgment and won’t be delegated. Then measure whether it improved the work, in closed deals, not in vibes. You can demand safeguards while you build competence. You can distrust the marketing while finding one use that saves you four hours a week.\nWe can always describe the work a new technology threatens long before we can describe the work it makes possible. Give that second question some of your attention. History says it earns more than it usually gets.\nTim and Julie Harris are the founders of Tim & Julie Harris Real Estate Coaching. \nThis column does not necessarily reflect the opinion of HousingWire’s editorial department and its owners.\nTo contact the editor responsible for this piece: [email protected]","confidence":0.9,"diagnostics_url":"/api/diagnose?url=https%3A//www.housingwire.com/articles/ai-anxiety-in-real-estate-follows-a-familiar-technology-cycle/","quality_bucket":"high","failure_kind":"none","retryable":false,"quality_reason":"High confidence: full text extraction produced 5479 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 5479 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":5479,"summary_length":419,"usable_text_length":5479,"source_field":"content"},"legacy_collapsed":false,"signals":{"extract_state":"ok","extract_error":null,"extract_retries":0,"content_length":5479,"summary_length":419}},"tags":[],"format_contract_version":"news_item_formats.v1"}}}