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北京时间·🕒 发布 04:08:37时区推断·⟳ 抓取 04:14:31·⚡ 决策 07-24 04:15:08 +37s·95.7 天前
RingCentral宣传员工30天完成2500个内部AI软件项目
这是RingCentral内部AI-Native Challenge的品牌宣传和效率叙事，未披露订单、收入、利润、客户新增或成本节省的可量化影响。
📄 原文Investing.com↗ 原文
RingCentral employees complete 2,500 AI projects in 30 days
Nasdaq falls over 2% as stocks slide on Alphabet, Tesla drag, surging oil prices BELMONT, Calif. - RingCentral Inc. (NY…
不做 RingCentral（RNG.US）
内部AI项目挑战和效率宣传缺少可量化商业增量，属于品牌/运营叙事，不形成可执行同向交易。
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研究档案
🔎 新鲜度:最早出现 2026-07-23 · 扩散 low · price-in 风险 medium ↗
关键理由
- 这是RingCentral内部AI-Native Challenge的品牌宣传和效率叙事，未披露订单、收入、利润、客户新增或成本节省的可量化影响。
- 正文仅说明员工使用ChatGPT Work和Codex完成内部项目，不能直接形成RingCentral或OpenAI供应链的短周期交易催化。
主要风险
- 若后续公司披露AI工具带来可量化成本下降、产品收入增量或客户转化，再按新催化重新评估。
原文全文
展开原文 · 1,841 字
Nasdaq falls over 2% as stocks slide on Alphabet, Tesla drag, surging oil prices
BELMONT, Calif. - RingCentral Inc. (NYSE:RNG) reported that employees completed 2,500 software projects in under 30 days as part of an internal AI-Native Challenge, according to a press release statement issued today.
The company-wide initiative, sponsored by the Office of the CEO, involved thousands of employees across all departments building complete software projects using ChatGPT Work and Codex. Participants included both engineers and non-engineers who worked through planning, implementation, testing, documentation, and deployment phases.
"AI-native development is not simply ’AI writes code,’" said Kira Makagon, President and Chief Operating Officer at RingCentral. "It’s about accelerating the entire development loop, by aiding people across all phases of the development lifecycle: product definition, design, architecture, coding, verification, and deployment."
The initiative allowed employees with varying technical backgrounds to participate in product development. RingCentral stated the challenge demonstrates its strategy of using AI internally to develop customer-facing products more quickly, including its AI Receptionist, AI Virtual Assistant, and AI Conversation Expert products.
Denise Dresser, Chief Revenue Officer at OpenAI, commented that AI-native companies are defined by how many people can turn ideas into working software rather than by engineer headcount.
RingCentral provides business communication services including phone systems, contact centers, and video collaboration. The company stated it has seen improvements in efficiency for bringing customer-facing features to market using AI-native techniques.
This article was generated with the support of AI and reviewed by an editor. For more information see our T&C.
BELMONT, Calif. - RingCentral Inc. (NYSE:RNG) reported that employees completed 2,500 software projects in under 30 days as part of an internal AI-Native Challenge, according to a press release statement issued today.
The company-wide initiative, sponsored by the Office of the CEO, involved thousands of employees across all departments building complete software projects using ChatGPT Work and Codex. Participants included both engineers and non-engineers who worked through planning, implementation, testing, documentation, and deployment phases.
"AI-native development is not simply ’AI writes code,’" said Kira Makagon, President and Chief Operating Officer at RingCentral. "It’s about accelerating the entire development loop, by aiding people across all phases of the development lifecycle: product definition, design, architecture, coding, verification, and deployment."
The initiative allowed employees with varying technical backgrounds to participate in product development. RingCentral stated the challenge demonstrates its strategy of using AI internally to develop customer-facing products more quickly, including its AI Receptionist, AI Virtual Assistant, and AI Conversation Expert products.
Denise Dresser, Chief Revenue Officer at OpenAI, commented that AI-native companies are defined by how many people can turn ideas into working software rather than by engineer headcount.
RingCentral provides business communication services including phone systems, contact centers, and video collaboration. The company stated it has seen improvements in efficiency for bringing customer-facing features to market using AI-native techniques.
This article was generated with the support of AI and reviewed by an editor. For more information see our T&C.
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