GSMA launches Open Telco AI to accelerate development of telco‑grade AI

Rhea-AI Summary

GSMA launched Open Telco AI on March 2, 2026 to accelerate development of telco‑grade AI through open models, datasets, compute and benchmarks. The portal (GSMA.com/open-telco-ai) hosts open telco models from AT&T, datasets from universities and partners, AMD/TensorWave compute, and a Telco Capability Index.

News Market Reaction – T

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1 alert

% News Effect

On the day this news was published, T declined NaN%, reflecting a moderate negative market reaction.

Data tracked by StockTitan Argus on the day of publication.

Key Figures

GenAI network use: 16% Challenge registrations: 1,000 registrations Telco benchmarks: 7 benchmarks +1 more

4 metrics

GenAI network use 16% Share of telecom GenAI deployments applied to network operations

Challenge registrations 1,000 registrations AI Telco Troubleshooting Challenge participation

Telco benchmarks 7 benchmarks Number of telecom-specific benchmarks in performance leaderboard

Q4 2025 report Q4 2025 GSMA Intelligence Telco AI: State of the Market source date

Market Reality Check

Price: $28.01 Vol: Volume 49,885,218 vs 20-d...

normal vol

$28.01 Last Close

Volume Volume 49,885,218 vs 20-day average 45,763,272 (relative volume 1.09x) indicates slightly elevated interest. normal

Technical Price $28.01 is trading above the 200-day MA $26.81, reflecting a pre-existing uptrend before this AI news.

Peers on Argus

T gained 2% with key peers like TMUS, VZ, CMCSA, AMX and CHTR also up between ro...

T gained 2% with key peers like TMUS, VZ, CMCSA, AMX and CHTR also up between roughly 0.8–2.8%, but the momentum scanner did not flag a coordinated sector move.

Previous AI Reports

3 past events · Latest: Aug 04 (Positive)

Same Type Pattern 3 events

Date	Event	Sentiment	Move	Catalyst
Aug 04	AI partnership	Positive	-0.3%	Expanded Office@Hand with RingCentral AI contact center and analytics tools.
Sep 11	AI contract	Positive	-1.2%	Strategic contract with Unsupervised after over $100M in AI-derived insights.
Jun 04	AI healthcare deal	Positive	+1.9%	UniDoc AI-assisted Health Cubes supply agreement for conflict zones.

Pattern Detected

Past AI-related announcements for AT&T have shown mixed to slightly negative immediate price reactions, despite generally positive strategic content.

Recent Company History

Over the last year, AT&T’s AI-related news has focused on enhancing communications and analytics rather than headline-grabbing transformations. In August 2025, it expanded Office@Hand with RingCentral’s AI tools, followed by a September 2024 deal with Unsupervised after finding over $100 million in insights. These updates highlighted operational improvement and data-driven decision-making. The new Open Telco AI initiative continues this pattern by emphasizing telco‑specific AI capabilities and ecosystem partnerships.

Historical Comparison

+0.1% avg move · Across recent AI-tagged announcements, average 24-hour moves were modest at 0.15%, suggesting histor...

AI

+0.1%

Average Historical Move AI

Across recent AI-tagged announcements, average 24-hour moves were modest at 0.15%, suggesting historically muted immediate trading responses to AI news items.

AI news has evolved from discrete tools and analytics contracts toward broader ecosystem collaborations and infrastructure for telco-grade AI.

Market Pulse Summary

This announcement details Open Telco AI, a GSMA-led effort with AT&T, AMD and others to create telco...

Analysis

This announcement details Open Telco AI, a GSMA-led effort with AT&T, AMD and others to create telco‑grade AI through shared models, datasets, compute and benchmarks. It addresses the gap where only 16% of GenAI deployments touch network operations. In context of past AI partnerships and contracts, the news extends AT&T’s AI narrative. Investors may watch participation levels, benchmark performance on the seven telecom-specific tasks, and concrete operational use cases that emerge.

Key Terms

genai, gpu, knowledge graphs, embeddings, +4 more

8 terms

genai technical

"only 16% of telecoms GenAI deployments have been applied to network operations"

Generative AI (genai) is a type of artificial intelligence designed to create new content, such as text, images, or music, that resembles human-produced work. It matters to investors because it has the potential to transform industries by automating tasks, enhancing creativity, and enabling new products and services, which can influence company performance and market opportunities.

gpu technical

"AMD is providing compute capacity ... through its GPU platforms, cloud partner TensorWave"

A GPU (graphics processing unit) is a specialized computer chip designed to handle many calculations at once, originally for rendering images and video but now widely used for tasks like artificial intelligence, data analysis and high-performance computing. Investors watch GPU demand and prices because strong sales often signal growth for chip makers and their customers, affect profit margins and capital spending, and can forecast wider trends in gaming, AI adoption and cloud services.

knowledge graphs technical

"A library of knowledge graphs, embeddings, and fine-tuning datasets of text, logs"

A knowledge graph is a structured map of facts where real-world things (people, products, companies, events) are shown as nodes and the connections between them as labeled links, so information is organized by meaning instead of scattered text. For investors it matters because these maps make hidden relationships and patterns easy to spot—helping with due diligence, risk detection, market research and product value—so a business that builds or uses them can gain faster, clearer insights than its peers.

embeddings technical

"A library of knowledge graphs, embeddings, and fine-tuning datasets of text, logs"

Embeddings are compact numeric summaries that translate text, documents or other data into a format a computer can compare and search quickly. Think of them as coordinates on a map where similar ideas end up near each other; this lets software group related announcements, detect trends or match investor questions to relevant filings. For investors, embeddings speed analysis, improve automated screening and help flag meaningful connections across large volumes of information.

synthetic data technical

"and pipelines for generating synthetic data from NVIDIA."

Data that is artificially generated to mimic the patterns and structure of real-world information without exposing actual personal or proprietary records. Investors care because synthetic data can let companies develop, test and demonstrate products faster and with lower privacy and regulatory risk—like using a realistic flight simulator instead of flying a real plane—while also carrying risks if the fake data fails to capture important real-world quirks.

inference technical

"compute capacity for model training, fine-tuning, inference and evaluation through its GPU platforms"

Inference is the process of drawing a conclusion from available evidence or data, like a detective piecing together clues to form a likely story. For investors it matters because these judgments turn raw reports, test results, or market signals into expectations about future performance, risk, or regulatory outcomes—so how someone infers from the same facts can change investment decisions and valuation.

fine-tuning technical

"compute capacity for model training, fine-tuning, inference and evaluation through its GPU platforms"

Fine-tuning means making small, deliberate adjustments to a company’s tools, models, processes or plans to improve performance or accuracy without overhauling the whole system. Like tightening the strings on a guitar for a clearer note, these tweaks can reduce risk, cut costs, boost efficiency or sharpen forecasts, so investors watch fine‑tuning as a signal management is optimizing resources and responding to market or regulatory changes.

leaderboard technical

"A leaderboard assessing model performance on seven telecom-specific benchmarks"

A leaderboard is a list that ranks the top performers or entities based on specific criteria, such as sales, growth, or other key measures. It helps investors see which companies, funds, or assets are leading in their field, providing a quick snapshot of performance. Think of it like a sports scoreboard showing the current standings, making it easier to identify strengths and trends.

AI-generated analysis. Not financial advice.

New initiative is supported by open-telco models, including a new family of models from AT&T, compute from AMD and TensorWave, datasets from researchers and a new portal for industry contribution and collaboration via GSMA.com/open-telco-ai

BARCELONA, March 2, 2026 /PRNewswire/ -- GSMA today launched Open Telco AI, a global industry initiative designed to accelerate telco-grade AI through open collaboration across operators, vendors, AI developers and academic institutions. The launch introduces a new portal for telco open models, data, compute and tools to accelerate the development and evaluation of telco-focused AI models, accessed via GSMA.com/open-telco-ai. 

While frontier AI models have advanced rapidly, they continue to underperform on telecom specific tasks. Many general-purpose models struggle to interpret network data, understand standards documentation, or automate network operations with sufficient accuracy. This performance gap limits progress: only 16% of telecoms GenAI deployments¹ have been applied to network operations.

Open Telco AI meets this challenge by uniting industry and academic partners to build the foundations of telco‑grade AI models, data, compute, benchmarks and community. Progress is tracked through the Telco Capability Index, which measures model performance across an expanding set of telecom‑specific tasks.

As founding supporters of Open Telco AI, AT&T and AMD are making significant contributions. AT&T is releasing a family of open telco-models developed and trained on open, publicly available data to be hardware and cloud‑agnostic, demonstrating that AI can deliver value across projects of any size and with varying levels of compute resources. AMD is providing compute capacity for model training, fine‑tuning, inference and evaluation through its GPU platforms, cloud partner TensorWave and open toolchains.

The initiative is also supported by community programmes that bring together developers, researchers and operators to solve real-world telecom‑AI problems. This includes competitions such as the AI Telco Troubleshooting Challenge which attracted over 1,000 registrations and will announce its winners at MWC26 Barcelona.

Louis Powell, Director of AI Initiatives, GSMA, said: "Today's AI models still fall short of the complexity, precision and reliability the telecom industry demands. Put simply, AI does not yet speak telco and operators are often deploying technology that cannot meet the required levels of accuracy, safety or efficiency. Establishing clear benchmarks and collaborating across the industry on datasets, models and agentic systems is essential. Open Telco AI provides a shared foundation designed to close this gap, an approach that other regulated sectors such as finance and healthcare can follow."

"Telco networks are among the most demanding and regulated environments for AI and moving from promising demos to telco-grade performance requires an open foundation for data, workloads and compute," said Philip Guido, executive vice president and chief commercial officer, AMD. "Through Open Telco AI, with GSMA and AT&T, AMD delivers the enterprise and AI compute needed to train, fine-tune and run open, telco-grade models efficiently from core to edge."

Andy Markus, Chief Data and AI Officer at AT&T, said: "The telecom industry needs AI that understands the realities of networks – not only generic models repurposed for telco tasks. Through Open Telco AI, AT&T is helping build the datasets, models and evaluation frameworks that make telco‑grade AI possible at scale. By contributing our expertise and shaping realistic test environments, we're demonstrating how generative and agentic AI can improve customer experience, reduce operational friction and ultimately create new value. This collaboration with GSMA is accelerating the industry's path toward intelligent, automated networks."

Building the Open Foundations of Telco-Grade AI

The new portal will support the co‑creation of the essential building blocks for telco‑grade AI, including:

• Telco Models: High performance open weight models designed for telecom tasks, from network troubleshooting to standards interpretation, including modelsof multiple sizes and architectures from AT&T, a radio-frequency language model from Khalifa University called RFGPT and a Large Telco Model (LTM) from AdaptKey AI built on NVIDIA Nemotron.
• Open Data: A library of knowledge graphs, embeddings, and fine-tuning datasets of text, logs, and curated standards material from GSMA, Huawei Technologies France, Khalifa University, Mantis NLP, NetoAI, Pleias, Purdue University, The University of Texas at Dallas, University of Leeds and Yale University, and pipelines for generating synthetic data from NVIDIA.
• Compute: Access to compute and open toolchain for projects training and inferencing open models via AMD and TensorWave.
• Benchmarks: A leaderboard assessing model performance on seven telecom‑specific benchmarks, along with tools for evaluating and submitting models from local environments.
• Community: Resources, challenges and engagement activities to encourage collaboration, including the AI Telco Troubleshooting Challenge and Agentic Challenge.

The Open Telco AI initiative is supported by a host of valued contributing partners that have submitted data, models, and use cases including AMD, AT&T, Datumo, Huawei Technologies France, King Abdullah University of Science and Technology, KDDI, Khalifa University, KPN, LGU+, Mantis NLP, NetoAI, North Carolina State University, NVIDIA Orange, Ooredoo, Pleias, Purdue University, RelationalAI, SK Telecom, Softbank, Swisscom, TensorWave, Turkcell, University of Leeds, University of Texas at Dallas, and Yale University. Open Telco AI also has the support of valued participants partners including Adaptive ML, BMC, China Telecom, China Unicom, China Mobile, Deutsche Telekom, DU, e& UAE, Google Cloud, IBM, Liberty Global, Queens University, Telefónica and Vodafone.

For more information, and to register interest, new partners can visit GSMA.com/open-telco-ai.

[1] Source: GSMA Intelligence, Telco AI: State of the Market, Q4 2025, (published January 2026)

About GSMA

The GSMA is a global organisation unifying the mobile ecosystem to discover, develop and deliver innovation foundational to positive business environments and societal change. Our vision is to unlock the full power of connectivity so that people, industry, and society thrive. Representing mobile operators and organisations across the mobile ecosystem and adjacent industries, the GSMA delivers for its members across three broad pillars: Connectivity for Good, Industry Services and Solutions, and Outreach. This activity includes advancing policy, tackling today's biggest societal challenges, underpinning the technology and interoperability that make mobile work, and providing the world's largest platform to convene the mobile ecosystem at the MWC and M360 series of events.

We invite you to find out more at gsma.com 

About AMD

AMD (NASDAQ: AMD) drives innovation in high-performance and AI computing to solve the world's most important challenges. Today, AMD technology powers billions of experiences across cloud and AI infrastructure, embedded systems, AI PCs and gaming. With a broad portfolio of AI-optimized CPUs, GPUs, networking and software, AMD delivers full-stack AI solutions that provide the performance and scalability needed for a new era of intelligent computing. Learn more at www.amd.com.

About AT&T

AT&T helps more than 100 million U.S. families, friends and neighbors, plus nearly 2.5 million businesses, connect to greater possibility. From the first phone call 140+ years ago to its 5G wireless and multi-gig internet offerings today, @ATT innovates to improve lives. For more information about AT&T Inc. (NYSE:T), please visit about.att.com. Investors can learn more at investors.att.com.

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FAQ

What is Open Telco AI and how does it affect AT&T (T) and telco AI development?

Open Telco AI is a collaborative industry initiative to build telco‑grade AI models and benchmarks. According to GSMA, it provides open models from AT&T, shared datasets, compute from AMD and TensorWave, and a Telco Capability Index to evaluate telecom-specific AI tasks and performance.

What resources does GSMA's Open Telco AI portal provide for developers and operators?

The portal offers open telco models, curated datasets, compute access and benchmark tools. According to GSMA, it includes model weights, knowledge graphs, synthetic data pipelines, AMD/TensorWave compute access, and a leaderboard for evaluating telecom‑specific model tasks.

How will AMD's contribution to Open Telco AI influence model training and inference?

AMD provides compute capacity and open toolchains for training, fine‑tuning and inference of telco models. According to AMD, its GPU platforms and cloud partner TensorWave enable efficient model development from core to edge for telco workloads and evaluations.

What telco models and datasets are available on GSMA's Open Telco AI for evaluation?

Available assets include AT&T's family of open telco models, RFGPT from Khalifa University, LTM from AdaptKey AI, and datasets from universities and partners. According to GSMA, the library contains text, logs, embeddings, knowledge graphs and synthetic data pipelines for telecom tasks.

How does the Telco Capability Index measure model performance for telecom tasks?

The Telco Capability Index tracks model performance across telecom‑specific tasks and benchmarks on a public leaderboard. According to GSMA, it assesses models on an expanding set of seven telecom benchmarks and supports local submission and evaluation tools.

Can investors in AT&T (T) expect near-term financial effects from Open Telco AI participation?

The announcement focuses on open collaboration, infrastructure and benchmarks rather than immediate financial metrics. According to GSMA and AT&T, the initiative aims to accelerate telco AI development; no binding financial guidance or quantified revenue impact was provided in the launch.