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MWC 2026: Amdocs Announces Research Collaboration with Stanford Researchers to Study AI's Impact on Software Engineering Productivity

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Amdocs (NASDAQ:DOX) announced a research collaboration with Stanford University's Software Engineering Productivity Research Group to study how large-scale AI integration affects enterprise software engineering productivity, code quality, and delivery performance.

The partnership will develop an outcome-driven measurement framework using de-identified engineering data, with Stanford retaining academic independence and publication rights.

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Market Reality Check

Price: $69.80 Vol: Volume 1,840,151 vs 20-da...
normal vol
$69.80 Last Close
Volume Volume 1,840,151 vs 20-day average 1,933,533 (relative volume 0.95 ahead of this AI collaboration news). normal
Technical Shares at 69.8, trading below 200-day MA of 83.61 and 26.84% under 52-week high.

Peers on Argus

DOX was roughly flat (-0.09%) while key peers were mixed: KVYO up 5.54% in momen...
1 Up

DOX was roughly flat (-0.09%) while key peers were mixed: KVYO up 5.54% in momentum scans, WIX and DBX modestly positive, and KVYO also announcing a $500M buyback. Moves do not indicate a unified software-infrastructure AI trade around this headline.

Common Catalyst Select peers highlighted AI product launches and capital return (AI app launch at WIX, buyback at KVYO), but these are distinct from DOX’s academic research collaboration.

Previous Partnership,AI Reports

2 past events · Latest: Aug 06 (Positive)
Same Type Pattern 2 events
Date Event Sentiment Move Catalyst
Aug 06 AI partnership expansion Positive +5.1% Expanded AI-driven MVNE capabilities with Consumer Cellular using multiple Amdocs AI tools.
Feb 26 5G AI partnership Positive -0.2% Expanded Google Cloud partnership to launch AI-driven Amdocs Network AIOps for 5G.
Pattern Detected

Tagged AI/partnership news has produced mixed reactions, with one notably strong gain and one slight decline; broader news flow recently saw small negative reactions despite generally constructive developments.

Recent Company History

Over the last several quarters, Amdocs has combined steady financial execution with expanding AI and partnership activity. Prior partnership,AI releases with Consumer Cellular and Google Cloud focused on applying AI to MVNE capabilities and 5G network operations, producing one strong positive and one slightly negative next-day move. More recently, DOX announced major customer and product wins, a T-Mobile multi-year deal, and AI-native offerings like aOS, yet short-term price reactions were modestly negative. Today’s Stanford collaboration extends this AI-focused narrative into software-engineering productivity research.

Historical Comparison

+2.4% avg move · Past partnership,AI announcements for DOX saw an average next-day move of 2.44%, with reactions rang...
partnership,AI
+2.4%
Average Historical Move partnership,AI

Past partnership,AI announcements for DOX saw an average next-day move of 2.44%, with reactions ranging from slightly negative to strongly positive.

Amdocs has moved from AI partnerships focused on MVNE capabilities and 5G network operations toward broader AI collaborations, now extending into software engineering productivity research with an academic partner.

Market Pulse Summary

This announcement highlights an AI research collaboration between Amdocs and Stanford focused on sof...
Analysis

This announcement highlights an AI research collaboration between Amdocs and Stanford focused on software engineering productivity and code quality in enterprise environments. It builds on prior partnership,AI efforts where Amdocs applied AI to MVNE platforms and 5G network operations, which historically produced mixed but notable stock moves averaging 2.44%. Investors may monitor how findings translate into product enhancements, customer adoption, and any quantified productivity or quality improvements shared in future updates.

Key Terms

generative ai, ai tools, de-identified
3 terms
generative ai technical
"“...to further substantiate the impact of generative AI,” said Anthony Goonetilleke..."
Generative AI is a type of computer technology that can create new content, like text, images, or music, on its own. It’s important because it can produce realistic and useful material quickly, which could change how we create art, write stories, or even develop new products. Think of it as a smart robot that can invent and produce things almost like a human.
ai tools technical
"The collaboration will examine how large-scale integration of AI tools affects software..."
AI tools are software systems that use machine learning and other artificial intelligence methods to analyze data, make predictions, automate tasks, or generate content without constant human direction. For investors, they matter because these tools can change a company's costs, productivity, competitive edge and risk profile—like upgrading from manual bookkeeping to a smart assistant that works faster and may reveal hidden opportunities or new threats to profits.
de-identified technical
"The study uses de-identified engineering data and does not involve direct interaction..."
Data labeled as de-identified has had names and other direct personal details removed or masked so individual people cannot be readily recognized; think of it like blurring faces and removing name tags from a photo. For investors, de-identification matters because it reduces legal and privacy risk, can change how valuable or usable the data is for research or product development, and affects regulatory compliance and potential liabilities.

AI-generated analysis. Not financial advice.

The collaboration focuses on establishing a repeatable, outcome-driven framework to evaluate impact with clarity and accountability

JERSEY CITY, NJ / ACCESS Newswire / March 2, 2026 / Amdocs (NASDAQ:DOX), a leading provider of software and services to communications and media companies, today announced a research collaboration with researchers from the Software Engineering Productivity Research Group at Stanford University. The collaboration will examine how large-scale integration of AI tools affects software engineering workflows in enterprise environments, with a focus on rigorous, evidence-based measurement of outcomes.

The research effort is designed to develop and refine methodological frameworks for evaluating AI's impact on engineering productivity, code quality, and delivery performance. The goal is to contribute empirical insights that advance understanding of AI adoption in complex, real-world software systems.

"Access to enterprise-scale engineering environments allows us to rigorously test and improve scientific methods for measuring AI's impact on software development," said Yegor Denisov-Blanch of Stanford University. "Our objective is to generate generalizable insights that advance research and inform practice."

"We are excited to collaborate with researchers at Stanford University to further substantiate the impact of generative AI," said Anthony Goonetilleke, Group President of Technology and Head of Strategy at Amdocs. "Together, we are initiating a research collaboration to develop a measurement framework that connects AI-assisted engineering practices to outcomes leaders care about most, including delivery performance, quality, and sustainable ways of working, and that are more closely connected to business results."

The research will be conducted in accordance with Stanford University policies and applicable regulations. The study uses de-identified engineering data and does not involve direct interaction with individuals as research participants. Stanford researchers retain academic independence, including the right to publish findings in accordance with university policies and applicable confidentiality requirements.

Supporting Resources

About Amdocs

Amdocs helps the world's leading communications and media companies deliver exceptional customer experiences through reliable, efficient, and secure operations at scale. We provide software products and services that embed intelligence into how work runs across business, IT, and network domains - delivering measurable outcomes in customer experience, network performance, cloud modernization, and revenue growth. With our talented people, and more than 40 years of experience running mission-critical systems around the globe, Amdocs runs billions of transactions daily. Our technology is relied on every day, connecting people worldwide and advancing a more inclusive, connected world. Together, we help those who shape the future to make it amazing. Amdocs is listed on the NASDAQ Global Select Market (NASDAQ:DOX) and reported revenue of $4.53 billion in fiscal 2025. For more information, visit www.amdocs.com.

Amdocs' Forward-Looking Statement

This press release includes information that constitutes forward-looking statements made pursuant to the safe harbor provision of the Private Securities Litigation Reform Act of 1995, including statements about Amdocs' growth and business results in future quarters and years. Although we believe the expectations reflected in such forward-looking statements are based upon reasonable assumptions, we can give no assurance that our expectations will be obtained or that any deviations will not be material. Such statements involve risks and uncertainties that may cause future results to differ from those anticipated. These risks include, but are not limited to, the effects of general macroeconomic conditions, prevailing level of macroeconomic, business and operational uncertainty, including as a result of geopolitical events or other regional events or pandemics, changes to trade policies including tariffs and trade restrictions, as well as the current inflationary environment, and the effects of these conditions on the Company's customers' businesses and levels of business activity, including the effect of the current economic uncertainty and industry pressure on the spending decisions of the Company's customers. Amdocs' ability to grow in the business markets that it serves, Amdocs' ability to successfully integrate acquired businesses, adverse effects of market competition, rapid technological shifts that may render the Company's products and services obsolete, security incidents, including breaches and cyberattacks to our systems and networks and those of our partners or customers, potential loss of a major customer, our ability to develop long-term relationships with our customers, our ability to successfully and effectively implement artificial intelligence and Generative AI in the Company's offerings and operations, and risks associated with operating businesses in the international market. Amdocs may elect to update these forward-looking statements at some point in the future; however, Amdocs specifically disclaims any obligation to do so. These and other risks are discussed at greater length in Amdocs' filings with the Securities and Exchange Commission, including in our Annual Report on Form 20-F for the fiscal year ended September 30, 2025, filed on December 15, 2025, and for the first quarter of fiscal 2026 on February 3, 2026.

Media Contacts

Swati Sharma
Amdocs Public Relations
E-mail: swati.sharma4@amdocs.com

SOURCE: Amdocs Management Limited



View the original press release on ACCESS Newswire

FAQ

What is the scope of Amdocs' March 2, 2026 collaboration with Stanford (DOX)?

The collaboration studies AI's large-scale effects on enterprise software engineering productivity and quality. According to Amdocs, researchers will develop a repeatable, outcome-driven measurement framework using de-identified engineering data and maintain academic independence to publish findings.

How will the Amdocs and Stanford (DOX) study measure AI impact on delivery performance?

The study will measure delivery performance with evidence-based, outcome-focused metrics tied to engineering workflows. According to Amdocs, the goal is to connect AI-assisted practices to delivery speed, code quality, and sustainable ways of working.

Will the Stanford-Amdocs (DOX) research use personal employee data?

No, the research uses de-identified engineering data and does not involve direct interaction with individuals. According to Amdocs, the study follows Stanford policies and applicable regulations to protect privacy and confidentiality.

Can Stanford publish results from the Amdocs (DOX) collaboration?

Yes, Stanford researchers retain academic independence to publish findings under university policies. According to Amdocs, publication rights and confidentiality requirements will be respected while using de-identified data in the research.

What investor relevance does the Amdocs-Stanford (DOX) research announcement have for shareholders?

The announcement shows Amdocs' focus on validating AI impact in enterprise engineering practices. According to Amdocs, the collaboration aims to produce empirical insights that could inform product strategy and customer value propositions over time.
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