The SpaceX S-1 has landed for your reading enjoyment. Here's my take:

SpaceX files for IPO: Do you believe in space data centers, xAI's potential?

Intuit reported a better-than-expected third quarter with revenue of $8.6 billion, up 10%, with earnings of $11.09 a share. Non-GAAP earnings were $12.80 a share. Sasan Goodarzi, CEO of Intuit, said the company's "AI-driven export platform strategy" and proprietary data are a winning combination.

As for the outlook, Intuit projected fourth quarter revenue growth of 11% to 12% with non-GAAP earnings of $3.56 a share to $3.62 a share. That outlook includes $300 million in restructuring charges. Intuit is cutting 17% of its workforce to become "a faster, leaner, more focused company."

I'll plan on following Intuit's call and look for more on the AI strategy.

• Intuit, OpenAI forge integration pact: Why it could be a $100 million win win
• Intuit starts to scale AI agents via AWS
• Intuit embraces LLM choice for multiple use cases
• Intuit's Enterprise Suite could upend midmarket ERP
• Intuit’s bets on data, AI, AWS pay off ahead of generative AI transformation

Alibaba CEO Eddie Wu penned his shareholder letter and had a bunch to say about AI. Here's a look:

"We expect the addressable market for companies like Alibaba that provide full-stack AI capabilities is poised to grow exponentially. Against this backdrop, Alibaba's AI has moved beyond the initial investment phase and entered full-scale commercialization."

Alibaba's cloud external revenue growth was 40% in its latest quarter.

"At the infrastructure layer, our proprietary T-Head AI chips have achieved production at scale, delivering high-performance compute capacity to our cloud infrastructure and Model-as-a-Service (MaaS) inference platform."

And then there's Qwen.

"In foundation models, we continued to accelerate our research and development pace, releasing three updates to the Qwen family within the past three months. Our latest generation large language model, Qwen3.7-Max, is specifically engineered for agents and expands the frontier of model capabilities, including in core competencies such as agentic coding and complex reasoning. Complementing the Qwen family, we achieved advancements in specialized models such as HappyOyster, a real-time interactive generative world model, and HappyHorse, a multimodal model for cross-modal understanding and generation."

Here's a look at Qwen 3.7 Max.

Salesforce announced a bevy of Informatica updates and integrated the data platform more with its core properties. Here’s what’s available, planned and launching in 2026.

• Headless Data Management and Headless CLAIRE — Generally Available, Spring 2026
• Agentic Integration — Q4 2026
• Data Quality Agent — Generally Available, Spring 2026
• Metadata Enrichment Agent — Q4 2026
• Agentic Multidomain MDM and Data Steward Agent — Q4 2026
• Data 360 Connector and Scanner — Generally Available, Spring 2026
• MDM Integration with Data 360 — Q3 2026
• CLAIRE in Slack — In Preview Now — Q4 2026
• Agent Fabric Context Catalog — Generally Available, Spring 2026

OpenAI is likely to file for its IPO soon as it scurries to the public markets to ride along with Anthropic, says the Wall Street Journal. I can't wait to see these numbers.

The Journal said in its story in a rather understated way.

OpenAI will have to overcome a host of other challenges, namely concerns about whether the company will be able to generate enough revenue to support its giant data-center spending commitments.

Ya think?

GitHub has confirmed that roughly 3,800 internal repositories were breached after one of its employees installed a malicious VS Code extension.

Aveva, an industrial software company, and IFS, which focuses on enterprise software for verticals such as manufacturing, inked a deal to integrate systems to better track assets and data. The companies said the joint effort will focus on combining operational and asset data to speed up decisions. Use cases will revolve around maintenance, capital planning and risk management. The partnership is the latest indicator that operational technology and IT are converging.

• IFS acquires Softeon to expand into warehouse management
• IFS teams up with Anthropic, Siemens, Boston Dynamics, 1X, showcases industrial AI use cases

Automation Anywhere announced EnterpriseClaw, which was designed with Cisco, Nvidia, Okta and OpenAI to create enterprise-grade claw-ish AI agents. EnterpriseClaw will leverage Automation Anywhere's Process Reasoning Engine and Contextual Intelligence Graph. Automation Anywhere also outlined a bevy of platform enhancements.

EnterpriseClaw is in private preview.

Microsoft launched three Intel-based business laptops:

• A $1,950 (starting price) Surface Pro in 13".
• A $1,950 (starting price) Surface Laptop in 13.8" and 15".
• A 1,300 (starting price) Surface Laptop in 13".

Blackstone launched a joint venture with Google to offer TPUs as a service. The venture is focused on building TPU-optimized AI data centers and giving customers another option to access. The joint venture starts with a $5 billion investment to bring 500MW of capacity online in 2027.

From a statement:

"The company expects to bring the first 500 MW of capacity online in 2027, with plans to scale significantly over time. Google will supply hardware, including TPUs, as well as software and services to the new company so it can rapidly accelerate to meet the growing demand for accelerated computing, leveraging the benefit of Google’s technical and domain expertise."

• Google Cloud presses full-stack AI edge with new TPUs, Agentic Data Cloud, Gemini Enterprise Agent Platform
• Google Cloud Next 2026: A Look at the Big Themes
• Google Cloud, AWS, Microsoft Azure: The AI vertical integration race

Elon Musk has lost his Sam Altman and OpenAI lawsuit. It was a fun read, but largely a sideshow. Here's the play-by-play on the verdict, which will be appealed in a few seconds.

Here's an interesting read from Salesforce Ben on how the Salesforce ecosystem is struggling with frequent shifts:

"For a long time, the platform was relatively easy to understand at a high level. Sales Cloud was for sales teams, Service Cloud was for support, and so on. Even as the ecosystem expanded, the messaging was largely tied to business functions and real-world outcomes. Today, it doesn’t feel that straightforward.

Instead of clearly defined clouds or use cases, the conversation has moved heavily toward Agentforce, AI, AI infrastructure, and now, the “headless” experience. Also, these products are being positioned less as standalone solutions and more as part of a broader AI ecosystem. This isn’t necessarily the wrong shift to make, but it is a very different way of communicating value in Salesforce."

I doubt that this is a Salesforce-specific issue. All of SaaS is struggling to keep up.