GitLab reported a better-than-expected fourth quarter, mixed outlook and said it sees "multi-year growth drivers with GitLab Duo Agent Platform and hybrid pricing."

The company reported a fourth quarter net loss of $2.6 million, or 2 cents a share, on revenue of $260.4 million, up 23% from a year ago. Non-GAAP earnings were 31 cents a share. GitLab's annual recurring revenue now tops $1 billion.

As for the outlook, GitLab projected first quarter revenue of $253 million to $255 million with non-GAAP earnings of 20 cents a share to 21 cents a share, slightly above estimates.

For fiscal 2027, GitLab projected revenue of $1.1 billion to $1.12 billion with non-GAAP earnings of 76 cents a share to 80 cents a share, well below the $1.03 expected.

CEO William Staples said:

"Investor uncertainty is understandably high. When every developer has access to the same models, code generation becomes a commodity. The bottleneck shifts to everything after the code, reviews, security, pipelines, compliance, deployment. That's precisely where we live. And that position gets harder to replicate as AI proliferates. Some of our customers already carry decades of technical debt, thousands of repositories and compliance obligations tied to policies written years ago.

GitLab holds all of that context, history, ownership, risk, intent, it's all getting indexed and connected across the software life cycle. In the world of autonomous agents, context is the difference between useful action and a potentially catastrophic one."

GitLab is on the following Shortlists:

• Constellation ShortList™ DevOps
• Constellation ShortList™ Application Security Testing
• Constellation ShortList™ CI/CD Vendors for Next Gen Apps

OpenAI released GPT 5.3-Instant, which is designed to respond faster and offer more context when searching the web. GPT Instant is OpenAI's most used model.

Akamai said it has acquired thousands of Nvidia Blackwell GPUs as it builds out its AI inference network. Akamai recently launched its Akamai Inference Cloud.

Google launched Gemini 3.1 Flash-Lite, which is built for high-volume workloads that need to be cost efficient. The new model will roll out in preview via the Gemini API in Google AI Studio and Vertex AI. Last week, Google launched Gemini 3.1 Pro. These models are the warm-up act for whatever LLM news is announced at Google Cloud Next in April and Google I/O in May.

Apple's week of product refreshes continues. The company refreshed its MacBook Pro line with its M5 Pro and M5 Max processors. Apple said the systems have four times faster prompt processing, twice the SSD speeds and 1TB to 2TB storage.

The 14-inch MacBook Pro with M5 Pro will start at $2,199 and the 16-inch MacBook Pro with M5 Pro starts at $2,699.

Accenture said it will buy Ookla from Ziff Davis for $1.2 billion. It's not often that a media company and a consulting firm swap properties. Ookla, which for now is part of Ziff Davis' connectivity unit, includes Speedtest, Downdetector, Ekahau and RootMetrics. Accenture's plan is to leverage the data and technology from those brands to "help Communications Service Providers (CSPs), hyperscalers, and enterprises optimize the mission-critical Wi-Fi and 5G networks that power their digital core."

In a statement, Accenture said the insights from the network, device and applications are critical in the AI era. "Without the ability to measure performance, organizations cannot optimize experience, revenue, or security. By acquiring Ookla, we will help our clients across business and government scale AI safely and build the trusted data foundations they need to deliver the reliable, seamless connectivity that creates value," said Accenture CEO Julie Sweet.

Ookla had $231 million in revenue in 2025, according to Ziff Davis.

Infosys and Intel said they are collaborating to bring together the chipmaker's AI platforms and Infosys Topaz Fabric. The companies said they will co-innovate on design, development, optimization and benchmarking AI workloads across Intel Xeon processors, Intel Gaudi AI accelerators and AI PC chips. The emphasis of the deal is "right–sized' AI architectures." Intel and Infosys are part of a broader AI infrastructure theme: You don't need a Ferrari for every AI workload when a Toyota Camry will do.

Running AI on-premise makes sense for multiple reasons including sovereignty, data control and in many cases cost. Granted I was a little early with this on-prem AI call in 2024 and 2025, but it appears there's traction now despite higher memory prices. Three data points:

• Dell's quarterly results were fueled by AI servers. The company noted that enterprises were refreshing their infrastructure for AI workloads.
• On Elastic's quarterly results, hybrid architecture was driving deals.
• MongoDB said its Enterprise Advanced was a key part of big deals in its most recent quarter. CEO CJ Desai said: "Because of a variety of issues related to AI for mission-critical applications, there is this trend where customers do want to keep their critical data estates on-prem. And this is not just only in financial services, we are seeing that in health care and other verticals like government. When I was in Europe and even in Asia, I'm also seeing there that there is a preference for those industries to also use MongoDB potentially with EA (Enterprise Advanced) and only certain workloads in the cloud."

AWS in its latest update said that its facilities have been damaged. If you have instances in the Middle East keep monitoring the AWS Health Dashboard. Key excerpts:

"We are providing an update on the ongoing service disruptions affecting the AWS Middle East (UAE) Region (ME-CENTRAL-1). The overall state of the region remains largely unchanged from our previous update. We continue to work closely with local authorities and are prioritizing the safety of our personnel throughout our recovery efforts. Teams continue to assess the damage to the affected facilities and are working to restore infrastructure impacted by the event."

"Finally, even as we work to restore these facilities, the ongoing conflict in the region means that the broader operating environment in the Middle East remains unpredictable. We strongly recommend that customers with workloads running in the Middle East take action now to migrate those workloads to alternate AWS Regions. Customers should enact their disaster recovery plans, recover from remote backups stored in other regions, and update their applications to direct traffic away from the affected regions. For customers requiring guidance on alternate regions, we recommend considering AWS Regions in the United States, Europe, or Asia Pacific, as appropriate for your latency and data residency requirements."

As noted yesterday, AI investment has surged in the Middle East in the last 18 months or so. You have to wonder if the Iran conflict is going to put a deep freeze on spending or at least pause some of the investment.

Apple launched iPhone 17e, a budget version of its flagship phone, and a new iPad Air with the M4 chip.

The iPhone 17e features the next-gen A19 chip and the C1X cellular modem that's twice as faster as the C1 in the iPhone 16e. The phone has a 48MP camera and 6.1-inch Super Retina XDR design. The device will start at 256GB of storage for $599.

Apple also launched the iPad Air with M4 chip. The iPad Air is upgraded with new CPU and GPU and is up to 30% faster than its predecessor. The starting price is $599 for the 11-inch model and $799 for the 13-inch model.

The launches are the warm-up act for a broader portfolio refresh expected on March 4.

Om Malik in his newsletter dissected Jack Dorsey's Block memo about AI-related layoffs. In his memo, Dorsey said Block would cut 40% of the company's staff due to AI creating new ways to work. Malik noted that Block really overhired during Covid and hasn't been run efficiently. In fact, few technology companies are run efficiently because they have lived off the largesse of cloud and high-margin software models.

Malik said:

"In way too many words, what Jack was saying was that AI is here, it is changing how we work, and what it means to be a company. All three points are true. What is also true is that when it comes to technology companies, AI is a convenient narrative that masks a deeper problem.

Operational inefficiencies, over-hiring, and general lack of financial discipline are a common malaise, especially among mid-tier publicly traded tech companies that have lived on the largesse of cloud, mobile, and ZIRP. Block is a poster child, as the data shows."

Fun fact: I was part of an academic research team at Temple University that wrote a business school case study on how Facebook, now Meta, scaled its hiring in 2020. Technology companies panic hired people and reading the Facebook case today is almost comical. Malik's post highlights how technology companies have largely been undoing the great hiring spree from COVID.

Following the headlines about Anthropic's deal with US miliary has been challenging not to mention exhausting. As most of you know by now, Anthropic was blacklisted by the US government, then reportedly used in the bombing of Iran and details are still being reported. Meanwhile, OpenAI now has an agreement with the military and upholds redlines and its guardrails. Here's a roundup of the moving parts you may have missed.

I maintain that the Anthropic battle with the Department of War has turned out to be great for Claude visibility. On Apple's App Store, Claude currently is No. 1. Claude had been somewhere in the 20s before.