{"id":7501,"date":"2026-03-04T00:16:08","date_gmt":"2026-03-04T00:16:08","guid":{"rendered":"https:\/\/abingdonwealth.com.au\/?p=7501"},"modified":"2026-03-04T21:08:16","modified_gmt":"2026-03-04T21:08:16","slug":"rolling-disruption","status":"publish","type":"post","link":"https:\/\/abingdonwealth.com.au\/index.php\/2026\/03\/04\/rolling-disruption\/","title":{"rendered":"Rolling disruption"},"content":{"rendered":"\n<p><strong>Summary (from Betashares):<\/strong> Global markets were mixed last week, with US equities slipping while Australian shares managed to rebound. Beneath the surface, however, the bigger story was the spread of artificial intelligence disruption beyond the technology sector and into more traditional industries.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">AI disruption spreading across sectors<\/h2>\n\n\n\n<p>Artificial intelligence is increasingly affecting industries well beyond software and technology companies. Recent developments suggest that financial services, freight and logistics, and even commercial property could face structural change as AI tools begin to reshape how work is done.<\/p>\n\n\n\n<p>New AI-powered platforms aimed at improving tax planning and freight management have already begun unsettling incumbents in those sectors. In logistics, emerging software solutions aim to optimise freight allocation and routing, potentially reducing demand for traditional trucking services.<\/p>\n\n\n\n<p>Meanwhile, concerns about AI-driven productivity and potential white-collar job losses are also weighing on the commercial property sector. Office markets were already under pressure from the shift to hybrid and remote work, and the prospect of further efficiency gains through automation could compound those challenges.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Market implications<\/h2>\n\n\n\n<p>One challenge for equity markets is that many of the potential \u201closers\u201d from AI disruption are well-established, listed companies. By contrast, some of the firms developing the disruptive technology are either privately held or still very small in market capitalisation.<\/p>\n\n\n\n<p>This creates a mismatch in market signals: disruptive innovation can be progressing rapidly even if the companies driving that change are not yet large enough to significantly influence major equity indices.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Long-term outlook<\/h2>\n\n\n\n<p>While the near-term market effects of AI disruption may be uneven across sectors, the longer-term economic impact could be strongly positive. Greater productivity and efficiency gains have the potential to support economic growth over time, even if the transition creates disruption for certain industries and business models.<\/p>\n\n\n\n<p>For investors, the key challenge will be identifying where the benefits of AI-driven productivity ultimately accrue \u2014 and which existing industries may face structural headwinds as the technology spreads.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<p class=\"has-large-font-size\"><em>Original article: \u201cRolling disruption\u201d by David Bassanese, Betashares.<\/em><br><a href=\"https:\/\/www.betashares.com.au\/insights\/rolling-disruption\/\" target=\"_blank\" rel=\"noreferrer noopener\">Read the original article on the Betashares website<\/a>.<\/p>\n\n\n\n<p><em>Published with the kind permission of Betashares and David Bassanese.<\/em><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Summary (from Betashares): Global markets were mixed last week, with US equities slipping while Australian shares managed to rebound. Beneath the surface, however, the bigger story was the spread of artificial intelligence disruption beyond the technology sector and into more traditional industries. AI disruption spreading across sectors Artificial intelligence is increasingly affecting industries well beyond software and technology companies. Recent developments suggest that financial services, freight and logistics, and even commercial property could face structural change as AI tools begin to reshape how work is done. New AI-powered platforms aimed at improving tax planning and freight management have already begun unsettling incumbents in those sectors. In logistics, emerging software solutions aim to optimise freight allocation and routing, potentially reducing demand for traditional trucking services. Meanwhile, concerns about AI-driven productivity and potential white-collar job losses are also weighing on the commercial property sector. Office markets were already under pressure from the shift to hybrid and remote work, and the prospect of further efficiency gains through automation could compound those challenges. Market implications One challenge for equity markets is that many of the potential \u201closers\u201d from AI disruption are well-established, listed companies. By contrast, some of the firms developing the disruptive technology are either privately held or still very small in market capitalisation. This creates a mismatch in market signals: disruptive innovation can be progressing rapidly even if the companies driving that change are not yet large enough to significantly influence major equity indices. Long-term outlook While the near-term market effects of AI disruption may be uneven across sectors, the longer-term economic impact could be strongly positive. Greater productivity and efficiency gains have the potential to support economic growth over time, even if the transition creates disruption for certain industries and business models. For investors, the key challenge will be identifying where the benefits of AI-driven productivity ultimately accrue \u2014 and which existing industries may face structural headwinds as the technology spreads. Original article: \u201cRolling disruption\u201d by David Bassanese, Betashares.Read the original article on the Betashares website. Published with the kind permission of Betashares and David Bassanese.<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-7501","post","type-post","status-publish","format-standard","hentry","category-alternative-comments","post-no-thumbnail"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.3 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Rolling disruption - Abingdon Wealth<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/abingdonwealth.com.au\/index.php\/2026\/03\/04\/rolling-disruption\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Rolling disruption - Abingdon Wealth\" \/>\n<meta property=\"og:description\" content=\"Summary (from Betashares): Global markets were mixed last week, with US equities slipping while Australian shares managed to rebound. Beneath the surface, however, the bigger story was the spread of artificial intelligence disruption beyond the technology sector and into more traditional industries. AI disruption spreading across sectors Artificial intelligence is increasingly affecting industries well beyond software and technology companies. Recent developments suggest that financial services, freight and logistics, and even commercial property could face structural change as AI tools begin to reshape how work is done. New AI-powered platforms aimed at improving tax planning and freight management have already begun unsettling incumbents in those sectors. In logistics, emerging software solutions aim to optimise freight allocation and routing, potentially reducing demand for traditional trucking services. Meanwhile, concerns about AI-driven productivity and potential white-collar job losses are also weighing on the commercial property sector. Office markets were already under pressure from the shift to hybrid and remote work, and the prospect of further efficiency gains through automation could compound those challenges. Market implications One challenge for equity markets is that many of the potential \u201closers\u201d from AI disruption are well-established, listed companies. By contrast, some of the firms developing the disruptive technology are either privately held or still very small in market capitalisation. This creates a mismatch in market signals: disruptive innovation can be progressing rapidly even if the companies driving that change are not yet large enough to significantly influence major equity indices. Long-term outlook While the near-term market effects of AI disruption may be uneven across sectors, the longer-term economic impact could be strongly positive. Greater productivity and efficiency gains have the potential to support economic growth over time, even if the transition creates disruption for certain industries and business models. For investors, the key challenge will be identifying where the benefits of AI-driven productivity ultimately accrue \u2014 and which existing industries may face structural headwinds as the technology spreads. Original article: \u201cRolling disruption\u201d by David Bassanese, Betashares.Read the original article on the Betashares website. Published with the kind permission of Betashares and David Bassanese.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/abingdonwealth.com.au\/index.php\/2026\/03\/04\/rolling-disruption\/\" \/>\n<meta property=\"og:site_name\" content=\"Abingdon Wealth\" \/>\n<meta property=\"article:published_time\" content=\"2026-03-04T00:16:08+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2026-03-04T21:08:16+00:00\" \/>\n<meta name=\"author\" content=\"Mike Avey\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Mike Avey\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"2 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\\\/\\\/abingdonwealth.com.au\\\/index.php\\\/2026\\\/03\\\/04\\\/rolling-disruption\\\/#article\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/abingdonwealth.com.au\\\/index.php\\\/2026\\\/03\\\/04\\\/rolling-disruption\\\/\"},\"author\":{\"name\":\"Mike Avey\",\"@id\":\"https:\\\/\\\/abingdonwealth.com.au\\\/#\\\/schema\\\/person\\\/8da42c906cebd4d6b6f6134563a3a92c\"},\"headline\":\"Rolling disruption\",\"datePublished\":\"2026-03-04T00:16:08+00:00\",\"dateModified\":\"2026-03-04T21:08:16+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\\\/\\\/abingdonwealth.com.au\\\/index.php\\\/2026\\\/03\\\/04\\\/rolling-disruption\\\/\"},\"wordCount\":347,\"publisher\":{\"@id\":\"https:\\\/\\\/abingdonwealth.com.au\\\/#organization\"},\"articleSection\":[\"Alternative Comments\"],\"inLanguage\":\"en-US\"},{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/abingdonwealth.com.au\\\/index.php\\\/2026\\\/03\\\/04\\\/rolling-disruption\\\/\",\"url\":\"https:\\\/\\\/abingdonwealth.com.au\\\/index.php\\\/2026\\\/03\\\/04\\\/rolling-disruption\\\/\",\"name\":\"Rolling disruption - 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Abingdon Wealth","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/abingdonwealth.com.au\/index.php\/2026\/03\/04\/rolling-disruption\/","og_locale":"en_US","og_type":"article","og_title":"Rolling disruption - Abingdon Wealth","og_description":"Summary (from Betashares): Global markets were mixed last week, with US equities slipping while Australian shares managed to rebound. Beneath the surface, however, the bigger story was the spread of artificial intelligence disruption beyond the technology sector and into more traditional industries. AI disruption spreading across sectors Artificial intelligence is increasingly affecting industries well beyond software and technology companies. Recent developments suggest that financial services, freight and logistics, and even commercial property could face structural change as AI tools begin to reshape how work is done. New AI-powered platforms aimed at improving tax planning and freight management have already begun unsettling incumbents in those sectors. In logistics, emerging software solutions aim to optimise freight allocation and routing, potentially reducing demand for traditional trucking services. Meanwhile, concerns about AI-driven productivity and potential white-collar job losses are also weighing on the commercial property sector. Office markets were already under pressure from the shift to hybrid and remote work, and the prospect of further efficiency gains through automation could compound those challenges. Market implications One challenge for equity markets is that many of the potential \u201closers\u201d from AI disruption are well-established, listed companies. By contrast, some of the firms developing the disruptive technology are either privately held or still very small in market capitalisation. This creates a mismatch in market signals: disruptive innovation can be progressing rapidly even if the companies driving that change are not yet large enough to significantly influence major equity indices. Long-term outlook While the near-term market effects of AI disruption may be uneven across sectors, the longer-term economic impact could be strongly positive. 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