We reviewed the Q1 2026 earnings calls for Zeta, Freshworks, Procore, and now Amplitude and n tupdating this blog daily as we get through each Q1 earnings call for all the publicly traded software companies.
Amplitude
The most honest confession from any CEO we’ve seen. “It is much more important to get there with a lot of speed for a lot of different reasons than it is to say, ‘Hey, let’s try to protect some existing thing we have.’ The existing thing we have, frankly, isn’t valued much.”
The goal of Amplitude’s AI. “We’re entering a new era of analytics — one where AI can monitor your product around the clock, and free up your team to focus on improving the experience. The real advantage is how quickly a team can learn, iterate, improve, and automate. Agentic analytics is the key.”
AI generated code means you need more software. “AI has dramatically lowered the barrier to building and shipping software, boosting productivity for experienced engineers and enabling non-traditional roles to become AI builders. While teams can generate more code than ever before, the software development life cycle remains bottlenecked in many other places. AI builders are generating code faster than they can understand its impact. The challenge is now evaluating code before it’s released, tracking what’s working after release, knowing when you need to roll things back, and turning behavioral signals into what to build next.”
On their own coding. “Over 90% of the code our team ships today is written by AI.”
On the internal adoption of AI. “We paused normal work across the entire company so that every function could build and ship AI-powered workflows to reimagine their daily jobs and functions. The team shipped hundreds of amazing demos, including automatically creating custom demo websites per customer, automating part of the quarter close process, and automating how we create new creative assets in marketing.”
Gross margin is compressing, but that means…“The inference cost growth is a leading indicator of how much our customers are actually using our AI tools. That is what we want.”
Zeta
AI’s impact on the market now. “AI is no longer a feature. It is driving a replacement cycle where enterprises are demanding fewer systems, measurable results, and applied intelligence that works today.”
We can’t just talk about AI anymore. “Customers want to invest in applied AI, not road map AI.”
The data and software flywheel. “As adoption increases, Athena learns from more data, outcomes improve and usage deepens, driving ARPU expansion and ultimately reinforcing the same flywheel that has powered our growth. That flywheel is powered by more than just Zeta’s AI models. It’s driven by the data and infrastructure behind them.”
The data moat. “Zeta SuperGraph, our proprietary identity and intelligence graph, unifies data across the enterprise and enables a complete deterministic view of the consumer that we believe is difficult to replicate at scale.”
Freshworks
The AI conversation is about impact. “AI is not causing sales delays — it has become a core requirement in nearly all large enterprise deal discussions. Customers are not asking whether we have AI. They are asking which AI, how it works, and what outcomes it delivers. Freshworks is winning those conversations because Freddy AI is embedded in the platform, not bolted on.”
AI is the last thing listed. “We had our biggest deal ever — a large nutrition company that was a 10-year customer of one of our competitors — that is moving over to us for all the reasons we have discussed: enterprise-grade scale, much faster time to value, easier to manage the platform, and AI capabilities.”
Procore
A big advantage of the incumbents. “Procore AI is a reasoning engine purpose-built for construction. It understands the language and logic of the project — how an RFI connects to a submittal, how a submittal connects to a drawing, how a change order gets approved. It works as a multi-step system that holds context across multiple steps. It doesn’t just answer a question — it understands the thread.”
The data moat. “This data and context can only be accessed within a system of record and collaboration like Procore. Building on our flagship system of collaboration with nearly 3 million active users and a massive proprietary dynamic data set, Procore AI can deliver outcomes simply not possible with traditional software.”
A real ROI use case. “By leveraging Procore AI, Crest has taken a manual process that could span weeks of effort down to an automation that can take as little as 20 minutes. This isn’t just an incremental improvement in speed. It is a fundamental shift in their competitive advantage.”
There is more to come. “It is still early. As we continue to develop Procore AI, going deeper into our proprietary data and broader across project types, the reasoning engine will only become more capable. We expect our solution to continue to improve with every layer we unlock, and we have a long runway ahead of us.”
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