{"id":25976,"date":"2026-06-24T08:00:48","date_gmt":"2026-06-24T07:00:48","guid":{"rendered":"https:\/\/www.gsma.com\/newsroom\/?p=25976"},"modified":"2026-06-24T08:01:07","modified_gmt":"2026-06-24T07:01:07","slug":"scaling-telco-ai-from-ambition-to-reality","status":"publish","type":"post","link":"https:\/\/www.gsma.com\/newsroom\/press-release\/scaling-telco-ai-from-ambition-to-reality\/","title":{"rendered":"Scaling Telco AI from Ambition to Reality\u00a0"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\"><strong>GSMA\u2019s&nbsp;<\/strong><a href=\"https:\/\/www.gsma.com\/solutions-and-impact\/technologies\/networks\/gsma_people\/louis-powell\/\" target=\"_blank\" rel=\"noreferrer noopener\"><strong>Louis Powell<\/strong><\/a><strong>&nbsp;and&nbsp;TM&nbsp;Forum\u2019s&nbsp;Andy Tiller&nbsp;highlight&nbsp;a&nbsp;new&nbsp;collaboration&nbsp;to&nbsp;help&nbsp;the industry&nbsp;reduce fragmentation and accelerate practical telco AI adoption.<\/strong><strong><em>&nbsp;<\/em><\/strong>&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Artificial intelligence is now a board-level priority across the&nbsp;telecoms&nbsp;industry. Operators are investing, vendors are&nbsp;innovating&nbsp;and the wider ecosystem is moving quickly.&nbsp;Yet, despite this&nbsp;momentum, telecoms&nbsp;continues&nbsp;to&nbsp;face structural barriers that make AI deployment far&nbsp;more complex&nbsp;than in many other industries.&nbsp;&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Telecom&nbsp;is one of the hardest&nbsp;environments&nbsp;for AI to transform. Networks&nbsp;are multi-vendor,&nbsp;highly&nbsp;fragmented, and reliant on siloed data, with&nbsp;very little&nbsp;tolerance for error. To be useful&nbsp;in&nbsp;this context, AI&nbsp;must&nbsp;be&nbsp;accurate, efficient, and trusted&nbsp;from day one.&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Today\u2019s&nbsp;frontier models&nbsp;are&nbsp;not&nbsp;designed for telecom. They are not&nbsp;trained on telecom-specific data&nbsp;and&nbsp;often&nbsp;struggle with the language, architecture,&nbsp;and operating realities of networks.&nbsp;As a result,&nbsp;deployments&nbsp;remain&nbsp;concentrated in&nbsp;customer&nbsp;experience&nbsp;and&nbsp;enterprise functions,&nbsp;rather than in the network layer itself.&nbsp;GSMA Intelligence data shows&nbsp;that&nbsp;just&nbsp;16% of AI deployments&nbsp;target&nbsp;network use cases,&nbsp;despite&nbsp;networks&nbsp;accounting for&nbsp;34%&nbsp;of&nbsp;OPEX as&nbsp;cost pressures and expectations for return on investment continue to&nbsp;rise.&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">That is why telecom needs to collaborate and align to solve these challenges for itself, building AI approaches that reflect the complexity, economics, and operational realities of the industry.&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Closer Collaboration&nbsp;between GSMA and TM Forum<\/strong>&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The shared challenge is clear: telecoms&nbsp;needs&nbsp;AI that understands telecoms, and a clearer&nbsp;path&nbsp;from experimentation to deployment at scale.&nbsp;&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">This is where&nbsp;deeper&nbsp;collaboration&nbsp;between GSMA and TM Forum&nbsp;adds real value,&nbsp;addressing&nbsp;complementary,&nbsp;parts&nbsp;of the same challenge.&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Through&nbsp;the&nbsp;<a href=\"https:\/\/www.open-telco.ai\/\" target=\"_blank\" rel=\"noreferrer noopener\">Open Telco AI<\/a>&nbsp;initiative,&nbsp;GSMA is focused on building&nbsp;telco-grade&nbsp;AI;&nbsp;models,&nbsp;and agentic systems that are&nbsp;accurate,&nbsp;efficient&nbsp;and trusted.&nbsp;That means&nbsp;creating&nbsp;a shared foundation of&nbsp;telco&nbsp;models&nbsp;trained on&nbsp;specialised&nbsp;telecom&nbsp;datasets,&nbsp;such as the OTEL family of models,&nbsp;and&nbsp;benchmarks&nbsp;that&nbsp;demonstrate&nbsp;how these models perform on real telecom tasks.&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">TM&nbsp;Forum is focused on frameworks, standards and high-value use cases that&nbsp;enable&nbsp;industry alignment&nbsp;on&nbsp;what should be built, how it should interoperate and where it should create value first.&nbsp;Its&nbsp;Autonomous Networks&nbsp;and Trustworthy&nbsp;AI and Data&nbsp;Missions&nbsp;create frameworks&nbsp;for scaling AI&nbsp;within its Open Digital&nbsp;Architecture&nbsp;(ODA),&nbsp;alongside&nbsp;solution packs&nbsp;for&nbsp;high-value scenarios and&nbsp;standardised&nbsp;tools for measuring progress.&nbsp;Catalyst&nbsp;and&nbsp;Innovation Hub projects build proofs of concept&nbsp;and reference implementations for&nbsp;deploying these solutions.&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">This is&nbsp;about&nbsp;connecting&nbsp;the AI stack&nbsp;end-to-end, combining shared models, common&nbsp;frameworks&nbsp;and practical deployment pathways, with the trust&nbsp;required&nbsp;for&nbsp;critical network environments.&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Combined approach already making an impact<\/strong>&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The aim of closer collaboration is to reduce fragmentation and accelerate industry-wide adoption by bringing these&nbsp;elements&nbsp;together in a more coherent way.&nbsp;The&nbsp;impact is already visible.&nbsp;&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Philippine&nbsp;mobile network operator,&nbsp;Globe&nbsp;Telecom, is exploring multi-vendor RAN root cause analysis using TM Forum\u2019s&nbsp;technical solution packs to help expose&nbsp;normalised&nbsp;APIs across vendors, while also working with Open Telco AI on the models and agents needed to automate&nbsp;analysis.&nbsp;&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Similarly,&nbsp;AT&amp;T\u2019s OTEL models,&nbsp;specialized models for telco,&nbsp;are being adapted&nbsp;into TM Forum environments such as&nbsp;Model-as-a-Service&nbsp;(MODaaS)&nbsp;and ODA Canvas,&nbsp;transforming&nbsp;proven, operator-grade AI&nbsp;into standardised, interoperable assets that the wider telecom industry can adopt and scale across multi-vendor, cloud-native environments.&nbsp;&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">These&nbsp;examples matter because they&nbsp;tangibly&nbsp;demonstrate&nbsp;end-to-end&nbsp;alignment, from use case definition to model development to deployment. It&nbsp;shows how AI can move beyond isolated innovation,&nbsp;towards&nbsp;interoperable AI models that are designed to&nbsp;operate&nbsp;within established industry frameworks. And it is a collaborative ecosystem in which operators, vendors and partners can help shape shared solutions rather than navigating disconnected efforts in parallel.&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Telecoms&nbsp;sits&nbsp;at the heart of the AI economy.<\/strong>&nbsp;&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Networks underpin the cloud,&nbsp;device&nbsp;and edge capabilities on which AI depends. Yet telcos themselves have not&nbsp;fully&nbsp;captured the&nbsp;value&nbsp;of AI&nbsp;within their own operations.&nbsp;&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">If&nbsp;the industry is&nbsp;to accelerate towards more autonomous, AI-native networks,&nbsp;it must&nbsp;align on&nbsp;shared assets, common&nbsp;standards&nbsp;and practical implementation pathways.&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">That is why this collaboration matters now.&nbsp;the industry&nbsp;cannot rely on generic tools and fragmented progress. It needs a shared, trusted foundation. That means engaging in Open Telco AI and TM Forum&nbsp;initiatives, contributing to use case definition, model development and validation, and helping shape the standards, frameworks and&nbsp;architectures&nbsp;that will&nbsp;determine&nbsp;whether AI delivers real value in telecom networks.&nbsp;&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The opportunity is significant. But&nbsp;unlocking&nbsp;it requires&nbsp;alignment as well as ambition. GSMA and TM Forum are committed to&nbsp;delivering&nbsp;both,&nbsp;and this is just the start, with&nbsp;more to come throughout the year on data, models,&nbsp;evaluations&nbsp;and&nbsp;Member&nbsp;proof points.&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong><em>Look&nbsp;out&nbsp;for more&nbsp;on&nbsp;telco&nbsp;AI&nbsp;at&nbsp;TM Forum and GSMA&nbsp;events&nbsp;this week.<\/em><\/strong>&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><a href=\"https:\/\/www.tmforum.org\/events\/dtw\/get-tickets?utm_medium=paid-search&amp;utm_source=google&amp;utm_campaign=DTW-2026&amp;utm_term=beettoo&amp;utm_content=Registration%20page&amp;gad_source=1&amp;gad_campaignid=23846097109&amp;gbraid=0AAAAADo9BN851AKmImVpBATDT6eJAlR_0&amp;gclid=Cj0KCQjwlqTRBhCBARIsANrkrxhR712Gp91mKAYDzod5eXMbQGCOCsYaw35ou55pvQ549wAhCokMpzEaAp7oEALw_wcB\" target=\"_blank\" rel=\"noreferrer noopener\"><strong><em>DTW Ignite<\/em><\/strong><\/a><strong><em>&nbsp;in Copenhagen&nbsp;opens its doors today,&nbsp;where&nbsp;TM Forum will spotlight trustworthy AI, autonomous networks and real-world&nbsp;Member&nbsp;showcases&nbsp;that&nbsp;demonstrate&nbsp;how AI-native telecoms can move from concept to execution.&nbsp;<\/em><\/strong>&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong><em>And&nbsp;at&nbsp;<\/em><\/strong><a href=\"https:\/\/www.mwcshanghai.com\/\" target=\"_blank\" rel=\"noreferrer noopener\"><strong><em>MWC Shanghai<\/em><\/strong><\/a><strong><em>&nbsp;(24\u201326 June), GSMA will bring together industry innovators&nbsp;on&nbsp;the GSMA Pavilion and through Open Telco AI sessions focused on building telco-grade AI benchmarks and practical deployment pathways.&nbsp;<\/em><\/strong>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>GSMA\u2019s&nbsp;Louis Powell&nbsp;and&nbsp;TM&nbsp;Forum\u2019s&nbsp;Andy Tiller&nbsp;highlight&nbsp;a&nbsp;new&nbsp;collaboration&nbsp;to&nbsp;help&nbsp;the industry&nbsp;reduce fragmentation and accelerate practical telco AI adoption.&nbsp;&nbsp; Artificial intelligence is now a board-level priority across the&nbsp;telecoms&nbsp;industry. Operators are investing, vendors are&nbsp;innovating&nbsp;and the wider ecosystem is moving quickly.&nbsp;Yet, despite this&nbsp;momentum, telecoms&nbsp;continues&nbsp;to&nbsp;face structural barriers that make AI deployment far&nbsp;more complex&nbsp;than in many other industries.&nbsp;&nbsp; Telecom&nbsp;is one of the hardest&nbsp;environments&nbsp;for AI to transform. Networks&nbsp;are [&hellip;]<\/p>\n","protected":false},"author":116,"featured_media":25977,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_feature_clip_id":0,"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":true,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2},"jetpack_post_was_ever_published":false},"categories":[3],"tags":[],"algolia_discover_type":[],"class_list":["post-25976","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-press-release"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v28.4 (Yoast SEO v28.7) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>Scaling Telco AI from Ambition to Reality\u00a0 - Newsroom<\/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:\/\/www.gsma.com\/newsroom\/press-release\/scaling-telco-ai-from-ambition-to-reality\/\" \/>\n<meta property=\"og:locale\" content=\"en_GB\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Scaling Telco AI from Ambition to Reality\u00a0\" \/>\n<meta property=\"og:description\" content=\"GSMA\u2019s&nbsp;Louis Powell&nbsp;and&nbsp;TM&nbsp;Forum\u2019s&nbsp;Andy Tiller&nbsp;highlight&nbsp;a&nbsp;new&nbsp;collaboration&nbsp;to&nbsp;help&nbsp;the industry&nbsp;reduce fragmentation and accelerate practical telco AI adoption.&nbsp;&nbsp; Artificial intelligence is now a board-level priority across the&nbsp;telecoms&nbsp;industry. Operators are investing, vendors are&nbsp;innovating&nbsp;and the wider ecosystem is moving quickly.&nbsp;Yet, despite this&nbsp;momentum, telecoms&nbsp;continues&nbsp;to&nbsp;face structural barriers that make AI deployment far&nbsp;more complex&nbsp;than in many other industries.&nbsp;&nbsp; Telecom&nbsp;is one of the hardest&nbsp;environments&nbsp;for AI to transform. 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Operators are investing, vendors are&nbsp;innovating&nbsp;and the wider ecosystem is moving quickly.&nbsp;Yet, despite this&nbsp;momentum, telecoms&nbsp;continues&nbsp;to&nbsp;face structural barriers that make AI deployment far&nbsp;more complex&nbsp;than in many other industries.&nbsp;&nbsp; Telecom&nbsp;is one of the hardest&nbsp;environments&nbsp;for AI to transform. 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