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And while these meta-collage images, with their surreal technical facility and stilted recapitulation of popular culture, are nowhere close to explaining themselves as something that could be built or installed, academics say we may be only a few years from being able to plug in material, dimensional, and programmatic constraints in AI and get something back we can actually make. Any delay beyond that will be the likely incursion of landscape architecture\u2019s awkward marriage to digital tools. Likewise, what\u2019s keeping us from Design Skynet is similarly rooted in the biotic world. To create buildable plans, AI will need plan and section drawings to train on, which, as often-proprietary information, exist in hard-copy paper plans, locked up in file cabinets. They\u2019ll have to be hauled out, scanned, and uploaded. \u201cThat\u2019s not low-hanging fruit,\u201d says Domlesky. <\/p>\n\n\n\n
As the director of digital innovation at OJB, Phil Fernberg is using whole-language text models to develop planting plans, and using parametric design engines to organize them in space. From there, the goal is to connect this design to the material supply chain and vendors. When this process is applied to residential projects, Fernberg foresees a broad consumer push in what is already the largest single segment of the landscape design industry. \u201cHow do we connect a bunch of readily available data sets to advance design and help it reach more people than it ever could?\u201d he says. \u201cBecause there\u2019s way more people that own homes and landscapes than there are landscape architects to help them, or that they can afford.\u201d <\/p>\n\n\n\n
Automated landscape design sounds like an unimpeachable deal for small clients. For labor, there\u2019s the eternal question of who collects the surplus that results from these new efficiencies. Is cheaper design, even if it\u2019s available to a wider audience, a good thing? <\/p>\n\n\n\n
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Ian Tahmin created this\nrendering (using\nMidjourney. His prompt? \u201c\/\nimagine a post-industrial\npark designed for birds.\u201d<\/figcaption><\/figure>\n<\/div>\n\n\n\n\n
Neil Leach created this\nrendering using\nMidjourney V5.2.<\/figcaption><\/figure>\n<\/div>\n<\/div>\n\n\n\n\n
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Probably not, says Neil Leach, architecture professor at Florida International University, who studies AI in design. \u201cThe main driver of change is going to be economics. What\u2019s cheapest?\u201d he says. \u201cThe professions are going to be eroded by these new technologies. Because it gets easier to do these things, the temptation is to drop fees. It\u2019s going to reduce the amount of money coming into the profession.\u201d <\/p>\n\n\n\n
AI could collapse the landscape architecture labor market, and its system of occupational licensure with it. Of course, Leach reminds us that AI is \u201ca tool. It has no agency. It\u2019s the unscrupulous employers who are looking to cut costs.\u201d <\/p>\n\n\n\n
\u201cThe elephant in the room is that we live in a capitalist society,\u201d says Zhang. <\/p>\n\n\n\n
The best-case scenario for landscape architecture is that its idiosyncrasy and maladjustment give it time to join and build coalitions that can force AI in design to respond to the needs of people, not markets. \u201cThe way we receive AI is not going to fit our profession in any way,\u201d says Ackerman. \u201cI think that might be our advantage here.\u201d <\/p>\n\n\n\n
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