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Nasdaq record lifts tech stocks as investors reassess AI risks

The Nasdaq’s record close revived tech sentiment, but monday.com still has to prove its AI products create durable revenue, not just buzz.

Lauren Xu2 min read
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Nasdaq record lifts tech stocks as investors reassess AI risks
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The Nasdaq’s new high gave software investors something they have been waiting for: permission to lean back into tech, even as they keep asking harder questions about AI. That shift matters for monday.com, where the stock has long moved with the wider growth-software trade as much as with company-specific execution. When the market is confident, MNDY can catch a tailwind. When fear returns, even strong product news can get buried under sector-wide doubts about whether AI will expand software demand or cannibalize it.

For monday.com’s engineers and product managers, that backdrop changes the bar for every AI release. Buyers still want workflow automation, but investors now want proof that AI translates into revenue, margin, and retention. The company’s latest numbers give it something real to point to. monday.com said it serves more than 250,000 customers worldwide, and it reported $1.232 billion in fiscal 2025 revenue, up 27% year over year, alongside a 14% non-GAAP operating margin.

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Data Visualisation

The clearest evidence so far is inside the product mix. monday vibe became the fastest product in monday.com history to pass $1 million in annual recurring revenue, a sign that the company’s AI pitch is getting past the demo stage. Management also said customers with more than $50,000 in ARR represented 41% of total ARR, while net adds from customers with more than $100,000 in ARR hit a record. That is the kind of enterprise traction that matters when public markets are debating whether AI will weaken traditional software economics or strengthen them.

The company has also moved quickly to make AI feel less like an add-on and more like infrastructure. On March 11, monday.com said it was enabling external AI agents to access its platform and operate alongside humans. Less than two weeks later, it launched Agentalent.ai, a hiring platform for enterprise AI agents built with AWS, Anthropic, and Wix. Together, those moves show the company trying to own the messy middle of the AI shift, where enterprises want automation but still need governance, visibility, and control.

For sales teams, the market rebound can help open doors, but it also sharpens scrutiny. Prospects know the difference between a vendor with a good story and one with staying power. In a more selective tech market, monday.com’s challenge is the same one facing the rest of SaaS: prove that AI is not just speeding up product cycles, but creating a stronger business model underneath them.

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