Hybrid work has nonetheless permanently altered office-usage patterns. Attendance has stabilized at about three days per week, and the office has evolved from being the default worksite to a hub for collaboration, connection and team building. This shift has trimmed space needs, with occupied square footage per office worker falling about 10% between early 2020 and 2025. Yet market fundamentals have begun to stabilize. Move-ins once again outpaced move-outs in 2025, and a slowdown in construction is paving the way toward a more balanced market.<\/p>\n
Early-pandemic era fears of an \u201coffice collapse\u201d which echoed the \u201cdeath of retail\u201d narrative that accompanied the rise of ecommerce over a decade ago, were ultimately overstated in both cases. Likewise, current conversations around AI and automation risk seem to be mirroring that pattern.<\/p>\n
AI Is a Positive Trend for Near-term Office Demand in Select Markets\u00a0<\/p>\n
Artificial intelligence is currently a major catalyst for office demand, particularly in the San Francisco Bay Area, the capital of tech talent and venture investment. In the near term, this momentum is poised to continue as rapid AI adoption and sustained capital inflows spur new company formation and headcount expansion. AI firms now account for a substantial share of San Francisco\u2019s net absorption, helping reduce office vacancy for the first time in years. Collectively, these firms occupy more than 7.5 million square feet of space. Another 4,500 AI startups are headquartered in San Francisco but operate out of apartments or flexible workspaces, representing a sizable pipeline of future demand as they scale. Active AI space requirements exceed 2.6 million square feet and include expansions from firms such as OpenAI, Harvey, Together AI, Perplexity, Sigma, Cursor AI and Cognition AI, while Sierra and Anthropic have collectively leased more than 700,000 square feet in recent months.<\/p>\n
Momentum is also growing in Manhattan, where AI and tech-driven demand are becoming increasingly central to leasing dynamics. Tech and media tenant requirements climbed to their highest level since 4Q18 at approximately 8.5 million square feet, with AI-related demand representing 10-11% of that total\u2014more than double the sector\u2019s share just two years ago.<\/p>\n
Part II: Quantifying the Impact\u2014Our Modeling ApproachEmployment and Office Market Outcomes Under AI Scenarios<\/p>\n
To estimate AI\u2019s impact on office-using jobs, we used a Monte Carlo simulation based on a model that translates AI adoption and task automation into potential labor -market impact (see Appendix for full model details). The analysis draws on data from the WEF Future of Jobs 2025<\/a> report, which provides estimates of the share of tasks performed exclusively by humans, by technology, and the extent to which AI automation is expected to reduce human-performed tasks by 2030.<\/p>\n We conducted the analysis at the sector-level rather than the occupational-level, to better reflect how differences in AI investment, digital readiness and regulatory environments affect the timing of potential job displacement by 2030. Technology firms, for example, are likely to adopt AI faster and reshape roles sooner than slower moving sectors like oil and mining, even where similar tech-oriented occupations exist in both. Using sector-level analysis therefore provides a clearer view of when AI-driven changes to jobs are most likely to occur over the short forecast horizon, albeit at the cost of some occupational granularity. Each of the three major office-using sectors was assigned an automation-potential value from the WEF report, representing the share of tasks that could be automated by 2030. We then estimated the relationship between automatable tasks and job loss. For instance, if 50% of tasks are automated, does that translate to a 50% reduction in jobs (ratio = 1) or a 25% job reduction (ratio = .5). We also estimated the positive employment effects that come from AI-driven productivity gains, using McKinsey\u2019s estimates<\/a> of potential output growth. Based on World Bank data, we assumed that each 1% increase in output translates into a 0.45% increase in employment.<\/p>\n These inputs were run through 1,000 simulations over a five-year period, allowing the model to vary key inputs including AI productivity boost, ratio of task to job losses, adoption rate of AI and regulatory friction, which produced a range of possible outcomes. We largely focused on the variation in the ratio of task to job loss, as that tends to drive the results. For each scenario, office-using employment was converted into space demand using the current average square footage per employee. Comparing these demand estimates to the expected office-supply pipeline allowed us to calculate U.S. office vacancy rates in 2030 under different AI adoption paths. Further detail on the methodology can be found in the Appendix.<\/p>\n We present five distinct scenarios below, including a baseline case, to show how office employment and space demand could evolve through 2030.<\/p>\n","protected":false},"excerpt":{"rendered":"Hybrid work has nonetheless permanently altered office-usage patterns. Attendance has stabilized at about three days per week, and…\n","protected":false},"author":2,"featured_media":378553,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[5],"tags":[114,85,46],"class_list":{"0":"post-378552","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-business","8":"tag-business","9":"tag-il","10":"tag-israel"},"_links":{"self":[{"href":"https:\/\/www.newsbeep.com\/il\/wp-json\/wp\/v2\/posts\/378552","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.newsbeep.com\/il\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.newsbeep.com\/il\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/il\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/il\/wp-json\/wp\/v2\/comments?post=378552"}],"version-history":[{"count":0,"href":"https:\/\/www.newsbeep.com\/il\/wp-json\/wp\/v2\/posts\/378552\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/il\/wp-json\/wp\/v2\/media\/378553"}],"wp:attachment":[{"href":"https:\/\/www.newsbeep.com\/il\/wp-json\/wp\/v2\/media?parent=378552"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.newsbeep.com\/il\/wp-json\/wp\/v2\/categories?post=378552"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.newsbeep.com\/il\/wp-json\/wp\/v2\/tags?post=378552"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}