Built to ensure women are set to thrive in an AI world, the Council comprises senior leaders from business, technology, academia, and public policy

DENVER, Aug. 27, 2026 /PRNewswire-PRWeb/ — Women in Revenue (WIR), the nonprofit membership organization dedicated to advancing women’s professional success and contribution to business growth and revenue generation, today launched its AI Leadership Council, a new working body of senior executives, researchers, and policy leaders. This collective was formed to answer a crucial question largely overlooked: can AI become the first force that meaningfully disrupts the structural barriers that prevent women from reaching maximum potential in the workplace?

Most of the current dialogue around AI focuses on disruption, automation, and risk. Far less attention has gone to a more consequential question: how do we actively steer AI’s trajectory, while there is still time, so that it closes gaps instead of hardening them? The AI Leadership Council was built to pursue that question through rigorous inquiry, original research, and interdisciplinary dialogue among leaders in business, technology, academia, workforce transformation, and public policy. The Council’s work will center on examining how AI is reshaping women’s paths to power, leadership and economic participation.

Inaugural members are:

Ginna Santy, PhD, Co-Chair and Executive Director of Women in RevenueCherilynn Castleman, Co-Chair, Managing Partner, CGI LLC, Harvard InstructorAmanda Van Nuys, Director, Outbound Product Marketing, Agentic CX Biz Applications and Agents at MicrosoftDina Habib O’Mara, Independent Advisor, employed at Microsoft, Global Industry Partner GTM Strategy LeaderDaniela Gorza, Co-founder and COO, MaigentMindy Honcoop, Founder and Executive Advisor/Coach, Agile HRSirisha Swahari, VP of US Global Operations, CGIDiana Brunelle, Chief People Officer, SnykUrvashi Batra, Co-founder and CEO, PrioriwiseBriar Harvey, Founder, Neurodiversity Media NetworkEmily Leahy, Founder, InPhase

“AI is not inherently neutral: it reflects the data, human inputs, and systems that shape it. In workplaces that were never designed for women to thrive, leaving those inputs unexamined risks automating and scaling existing inequities,” said Dr. Ginna Santy, Co-Chair of the AI Leadership Council and Executive Director of Women in Revenue. “Left unchallenged, AI won’t simply reproduce those inequities; it will automate them, scale them, and make them feel even more unassailable than they already are. This Council may be our last real opportunity to intervene before yesterday’s biases become tomorrow’s workplace infrastructure. Women will not win if they are the end users of an AI economy built without them.”

“The claim that women are behind on AI gets repeated constantly and tested almost never. We are not going to argue with the narrative. We are going to test it,” said Cherilynn Castleman, Co-Chair of the AI Leadership Council, Managing Partner at CGI LLC, and Harvard Instructor. “This Council is built on original research into how AI is changing who gets hired, whose work gets credited, and who gets promoted. The findings go where the evidence goes.”

The Council will hold its inaugural meeting on September 11 at Snyk’s Boston headquarters, opening with a session titled “The Operating System: What Is AI Actually Optimizing For?”

“AI will reshape opportunity at a scale few technologies ever have, which makes it essential that the people shaping its future bring a wide range of experiences and perspectives to the table,” said Diana Brunelle, Chief People Officer at Snyk. “Snyk is proud to support the Women in Revenue AI Leadership Council and its work to help ensure AI is developed and adopted in ways that are secure, responsible, and capable of expanding opportunity.”

The session will examine which behaviors AI systems reward and which they quietly devalue, where bias is being encoded versus erased, and who ultimately decides what “good” output looks like. It will produce the Council’s first thought leadership deliverable: a published framework naming the hidden defaults of enterprise AI, paired with a set of diagnostic questions every woman leader can ask of the tools in her stack. Additional sessions are in development and will be announced in the coming months.

Organizations and individuals interested in learning more about the AI Leadership Council, its research agenda, or membership should contact Sally Abdelnabi at sally@womeninrevenue.org.

About Women in Revenue

Women in Revenue (WIR) is a 501(c)(3) nonprofit organization that empowers professional women to thrive in the revenue-generating roles crucial for individual and business success and long-term economic growth. With a community of 10,000+ members, WIR fosters growth through mentorship, networking, and professional development to help women advance their careers. WIR is supported by funding partner Tiger Global Impact Ventures and sponsors including Clari/Salesloft, Snyk, 6Sense, and others. All WIR research is conducted independently, without sponsor influence over its findings or conclusions. For more information or to become a WIR member, visit womeninrevenue.org.

Media Contact:

Stacey Paris-Bechtel

Breakaway Communications for Women in Revenue

sparis@breakawaycom.com

Media Contact

Stacey Paris-Bechtel, Breakaway Communications for Women in Revenue, 1 2126166003, tsheehy@breakawaycom.com, www.womeninrevenue.org

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SOURCE Women in Revenue

Over 75,000 Registrations, 145 Speakers, and Unprecedented Insights into the Future of Agentic Software Development and Autonomous Quality

SAN FRANCISCO and NOIDA, India, Aug. 27, 2026 /PRNewswire/ — TestMu AI (formerly LambdaTest), the world’s first Agentic AI-powered Quality Engineering platform, concluded the fifth edition of the Testµ (‘TestMu’) Conference 2026, a 3-day virtual summit to discuss the future of agentic engineering and quality, and establish a clear, actionable vision for the industry’s shift to autonomous software development.

The conference had a massive global convergence of talent and ideas, attracting over 75,000 registrations from testers, developers, engineering leaders, AI/ML engineers, and community members from the software testing and development community across 120+ countries. The event saw outstanding engagement, with 10,000+ attendees, underscoring the critical importance of the topics and the conference’s role as an essential forum for the world’s top engineering talent.

The agenda was driven by a historic gathering of industry titans and enterprise leaders from the world’s most innovative companies, including Microsoft, Meta, Replit, Databricks, Glean, Hinge Health, Salesforce, Piramal Finance, and others. The speaker roster featured Luis Héctor Chávez, Chief Technology Officer, Replit; Francesca Lazzeri, Principal Group Director, Microsoft; Thomas Dohmke, Co-Founder and CEO, Entire; Dona Sarkar, Chief Troublemaker – Microsoft Enterprise AI Advocacy, Microsoft; Rushabh Mehta, Software Engineer, Meta; Nilesh Dalvi, Engineering Leader, Glean; Rashi Agrawal, Head of AI, Hinge Health; Viktoria Semaan, Principal Technical Evangelist, Databricks; and many others.

Three core industry imperatives emerged from the summit’s 96 sessions, panels, and workshops. First, trust must be engineered, not assumed, as AI agents take on a growing share of the engineering workload, rigorous evals, verification layers, and continuous validation are the only way to make autonomous systems trustworthy at scale. Second, agentic workflows must graduate from pilots to production, enterprises need production-grade quality gates, observability, and governance to move AI-driven engineering beyond experimentation and into mission-critical delivery. Finally, the human quality layer will define the winners of the agentic era, engineering leaders must build the culture, skills, and operating models that allow teams to adopt, supervise, and genuinely trust AI coworkers.

“This year, Testµ (TestMu) Conference marked the moment the industry moved from talking about agentic AI to engineering it responsibly,” said Asad Khan, CEO and Co-Founder of TestMu AI. “Across three days, we saw the world’s best engineering minds converge on a shared conviction: autonomous systems demand autonomous quality. The conversations and innovations unveiled here will define how software is built, tested, and shipped for the next decade. Our commitment is to continue empowering this community with the platform and vision needed to lead the agentic era.”

The conference was supported by a rich ecosystem of partners, including Accenture, Capgemini, LTIMindtree, Microsoft, Persistent, Wipro, and many others.

Building on this monumental success, TestMu AI has announced that the sixth annual Testµ Conference will return from August 24-26, 2027, promising to once again gather the world’s brightest minds to push the boundaries of technology.

To learn more, visit: https://www.testmuai.com/testmuconf-2026/

Register for TestMu Conference 2027 here: https://www.testmuai.com/testmuconf-2027/ 

About TestMu AI
TestMu AI (Formerly LambdaTest) is a Full-Stack Agentic AI Quality Engineering platform that empowers teams to test intelligently and ship faster. Engineered for scale, it offers end-to-end AI agents to plan, author, execute, and analyze software quality. AI-native by design, the platform enables testing of web, mobile, and enterprise applications at any scale across real devices, real browsers, and custom real-world environments.

For more information, visit www.testmuai.com

Media Contact
Nikhil Saxena
Corporate Communication Manager
TestMu AI
nikhils@testmuai.com
+919870981968

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Researchers identify scale, ecosystem leverage and premium positioning as sustainable competitive paths.

COLLEGE PARK, Md., Aug. 27, 2026 /PRNewswire/ — A newly published study in California Management Review challenges a persistent assumption in today’s AI landscape: that the strongest model inevitably becomes the dominant platform. Instead, the authors of “Three Winning AI Strategies” show that the global AI assistant market is being shaped by three distinct strategic positions—each succeeding on its own terms.

The study—by Daniel McCarthy of the University of Maryland’s Robert H. Smith School of Business, Maxime C. Cohen and Eddy Hage-Youssef of McGill University, and D. Daniel Sokol of the University of Southern California—draws on worldwide mobile app usage data through December 2025.

The researchers show that ChatGPT, Google Gemini and Claude occupy fundamentally different competitive positions: a scale leader, an ecosystem player and a premium niche, respectively. “So many people are so focused on which AI company has the best model, but there is much more to the competitive market than that,” says McCarthy.

Three Models, Three Ways to Win
Sensor Tower estimates, the authors note, reveal stark differences in how the leading assistants participate in the market:

ChatGPT — Scale Leader. With 78.4% of worldwide mobile daily active users, ChatGPT dominates in reach. Its challenge is converting that massive user base into durable economics.Gemini — Ecosystem Player. Holding a 12.5% share of mobile daily active users (DAU), Gemini generates little direct app revenue. Instead, its value is plausibly captured across Google’s broader ecosystem of complementary products.Claude — Premium Niche. With 0.5% of mobile DAU share, Claude operates at small scale but with striking economics: estimated revenue per active user more than 40x Gemini’s and roughly 3x ChatGPT’s. Its strategic test is maintaining differentiation as it grows.

“These differences highlight a central finding,” McCarthy says. “ChatGPT is selling to everyone. Google is giving Gemini away to protect its search business. Anthropic is charging a small group of professionals real money. All three are working for now, but they’re working for completely different reasons.”

From a consumer standpoint, the reason these assistants feel so different is straightforward: they’re intentionally built for different kinds of users. “Gemini is built to keep you inside Google.

ChatGPT is built to be the thing everyone tries first. Claude is built for people who don’t mind paying for it as much,” McCarthy says. “That’s healthy. A market where every product felt the same would be a worse market.”

Major Launches Expand the Category — Not Cannibalize Rivals
If AI competition were a simple “horse race,” major model launches would trigger visible declines among rivals. The study finds the opposite. Across 15 major releases between May 2023 and December 2025:

Competitor effects are mixed and centered near zero (mean −0.1%).Focal‑firm effects are meaningfully positive (mean +7.0%).Total market usage expands substantially over the period.

“In other words,” McCarthy says, “launches help the launching firm without systematically hurting competitors. If this were a horse race, every big launch would knock the other horses back. We looked at 15 launches, and you don’t really see that.”

Different Strategies, Different Economic Tests
As the market matures, each strategic position faces a distinct pressure point:

Scale: Can a massive user base be monetized sustainably?Ecosystem: Can value be captured across complementary products when the standalone service is inexpensive or free?Premium: Can distinctiveness—and willingness to pay—survive as the audience broadens?

Market share alone does not determine strategic success, McCarthy says. “What matters is whether a firm chooses a position aligned with its structural advantages.”

The authors conclude that the strategic error is not choosing the “wrong” universal model—it’s pursuing a position that doesn’t fit the organization’s strengths. Executives must ask:

Scale: Do we have a credible path to serving and monetizing a very large user base?Ecosystem: Can our distribution or complementary offerings capture value the focal product does not?Premium differentiation: Can we solve an important problem well enough to command higher willingness to pay?

Ultimately, the firms that endure will be those whose strategies match their structural advantages—not those chasing a single dominant model.

About the University of Maryland’s Robert H. Smith School of Business
The Robert H. Smith School of Business is an internationally recognized leader in management education and research. One of 12 colleges and schools at the University of Maryland, College Park, the Smith School offers undergraduate, full-time and flex MBA, executive MBA, online MBA, business master’s, PhD and executive education programs, as well as outreach services to the corporate community. The school offers its degree, custom and certification programs in learning locations in North America and Asia.

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SOURCE University of Maryland’s Robert H. Smith School of Business