Could ZM actually become an AI-native system of action?
I use Teams at work, but just started a Zoom Workplace Pro subscription and was impressed by the quality of the call summaries. These were kind of brainstorming calls, so the transcripts were super helpful to capture ideas I would have struggled to recall after we hung up. I was inspired to look into Zoom to see if not ever having to take notes on a call again would be worth something in the equity markets.
**AI can be super useful on top of call transcripts.** Zoom processes millions of hours of business conversations, meetings, and presentations, which historically have never been captured or utitlized formally in an enterprise setting, that serve as ideal context for LLM's to consume and power agentic business outcomes.
* ZM is trading at a 14.8x normalized FY27 P/E (compared to \~25 P/E for S&P500), with an opportunity to define a category of AI-native SaaS built on UCaaS infrastructure. Growth is not priced into Zoom shares today, and has authorized a $4.7 billion buyback with $1.3 billion remaining.
**ZM has the balance sheet to aggressively pursue growth**. Their investment position in Anthropic is worth $3.1 billion, they have $7.2 billion in cash on the balance sheet. From a growth perspective, churn remained stable despite a 6% price increase while enterprise churn declined, and topline growth is inflecting slightly (L3Q revenue growth (4.93%, 5.47%, 5.31%) vs prior 3Q (4.44%, 4.71%, 2.93%)).
* **Enterprise growth showing in longer-term contracts:** RPO + 14%, non-current RPO +25%, Deferred Revenue grew 6% (above 2-3% guide) * ZM has the capital to pursue M&A (ex. Common Room) and invest in AI (ex. Zoommate) * **Zoom's Anthropic investment** could make an Anthropic acquisition slightly more likely if Anthropic believes UCaaS software, enterprise call transcripts, and buying back a small portion of its own shares would add value to its enterprise stack. This is a long shot, but possible.
**AI-Native System of Action**. Zoom sits inside human conversations, which hold context that never reaches a system of record. It turns that context into actions, such as updating Salesforce or Jira, scheduling follow-ups, resolving support tickets and drafting RFPs. The software is agentic and is completely natural language based.
* **Federated AI** strategy enables ZM to harness the best frontier models, cheaper open source models, or its own SLM depending on the use case. Zoom becomes more valuable as the LLM’s advance. * If call transcripts become a powerful input to agentic enterprise applications, ZM has large new AI-native SaaS category to sell into.
**The critical risk** is Zoom's massive competitors: Teams, Slack, Google Meet, and WhatsApp. Zoom has grown to $5 billion in revenue competing against the biggest companies in the world, and will need to continue battling them for enterprise budgets to grow organically. ZM also has to build the right AI products before its competition, so there is certainly significant execution risk.
* If Zoom is not successful, it will be because Slack, Google Meet, and Microsoft Teams built better integrated AI-applications within their platforms. However, I still haven't met anyone who says they like Teams.
I have a small position in ZM today, and am considering consolidating my Software portfolio around ZM. Curious what others think about the setup or AI features. #business source