Results

Here are a few quotes from earnings calls and themes worth pondering:

CEO Daniel Dines on UiPath's second quarter earnings call:

"We've talked a lot about how AI is changing software. The bigger question now is how enterprises turn AI into real business value. Customers aren't choosing between AI and deterministic automation. They are choosing the best way to achieve an outcome. AI is exceptional at reasoning, but it's probabilistic and can be expensive at scale.

Many enterprise processes don't need reasoning at every step. They need exactness, the same result every time securely, reliably and at the lowest possible cost. That's why we give customers the choice of deterministic or tokenless automation alongside AI. Our approach is simple. Use AI where intelligence creates value and deterministic automation where exactness matters that gives customers the benefits of AI without paying for AI reasoning at every step and ultimately better economics and better ROI at scale."

Asana CEO Daniel Rogers on the company's earnings call:

"Individuals have experienced significant productivity gains from AI, but most organizations haven't yet translated that into the productivity gains at the enterprise level. AI often sits outside the workflows that run the business, requiring people to find the right agent, provide the right context, and bring the output back into the work.

With Agentic Work Management (AWM), we closed that gap by putting people and agents and systems on the same plan. Historically, customers use Asana to coordinate work between people, to provide visibility into those tasks. With AWM, they can orchestrate execution across people and agents in the same context, same goals, and the same governance."

Zscaler reported a solid fourth quarter with revenue growth of 25%.

The company reported a fourth quarter net loss of $3.4 million, or 2 cents a share, on revenue of $898.2 million, up 25% from a year ago. Non-GAAP earnings were $1.19 a share.

Wall Street was expecting Zscaler to report non-GAAP earnings of $1.09 a share on revenue of $877.6 million.

Zscaler said first quarter revenue will be up about 19% from a year ago to $935 million to $939 million with non-GAAP earnings of $1.15 a share to $1.16 a share. For fiscal 2027, Zscaler expects revenue of $3.908 billion to $3.938 billion, up 16.6% to 17.5%. Non-GAAP earnings will be $4.86 a share to $4.90 a share.

The company also said it will cut 3% of its workforce.

DocuSign handily beat expectations for the second quarter and said its intelligent agreement management platform is gaining traction. The company reported second quarter earnings of 40 cents a share on revenue of $875.7 million, up 9% from a year ago. Non-GAAP earnings were $1.16 a share.

Wall Street was expecting DocuSign to report non-GAAP earnings of $1.09 a share on revenue of $867.16 million,

The company said Intelligent Agreement Management (IAM) now represents 15% of revenue.

DocuSign raided its outlook for fiscal 2027. CEO Allan Thygesen said "our AI agents are now securely executing contract workflows end-to-end, and the IAM platform also ingested a record volume of agreements."

The company projected third quarter revenue of $886 million to $890 million, up 9%. For the fiscal year, DocuSign is projecting revenue of $3.499 billion to $3.507 billion.

Nvidia said it will buy Hugging Face in a deal valued at $12.93 billion. Nvidia said the deal is to expand its developer ecosystem and improve Hugging Face's infrastructure.

The company said:

"Hugging Face will remain an open platform for the entire AI ecosystem. Developers will choose the models they want, the frameworks they want, the clouds and inference service providers they want and the computing platforms they want. NVIDIA compute will not be required to build on or deploy through Hugging Face.

Hugging Face will continue to support open source and open weight models from across the ecosystem, from every model builder. It will continue to support multi-cloud and multi-accelerator development and deployment, so builders can use the hardware and infrastructure that best fit their work."