Analyst cuts HubSpot 12‑month price target to $350 after backlash to new AI agent pricing
- Morgan Stanley cut HubSpot’s 12-month target to $350 on May 8, while keeping Overweight, after the company’s Q1 outlook and AI pricing changes rattled investors. - The sharpest detail was in the stock itself: HubSpot fell about 24% after earnings, even though Q1 revenue beat at $881 million. - The issue is trust — investors now need proof that Breeze’s pay-for-results AI model can grow revenue without muddying near-term forecasts.
HubSpot is trying to do something clever with AI pricing. Wall Street just reminded the company that clever can also look messy. After HubSpot’s May 7 earnings report, Morgan Stanley cut its 12-month price target to $350 from $405 but kept an Overweight rating, and the stock sold off hard anyway. The weird part is that the quarter itself was good. The problem was everything around how future growth now gets measured. ### What actually changed? HubSpot changed pricing for two Breeze AI products in mid-April. Breeze Customer Agent moved from $1 per conversation to $0.50 per resolved conversation, and Breeze Prospecting Agent moved from a recurring monthly contact charge to $1 per qualified lead recommended for outreach. Basically, HubSpot stopped charging for access and started charging for outcomes. (marketbeat.com) ### Why did that sound good at first? In theory, outcome-based pricing is exactly what customers say they want. If the AI does the job, you pay. If it does not, you do not. HubSpot framed that as removing adoption risk, and it paired the change with a 28-day free trial. For buyers, that is easier to say yes to than another seat license or usage meter. (hubspot.com) ### So why did investors hate it? Because better customer economics can create worse forecasting optics in the short run. HubSpot told investors Q1 was strong, but management also flagged that AI pricing changes, longer trial periods, longer sales cycles, and sales training efforts would delay some revenue upside. That is the catch — the company may still win later, but near-term revenue becomes harder to read. (hubspot.com) ### Didn’t HubSpot just post strong numbers? Yes. Q1 revenue came in at $881 million, up 23% as reported, with non-GAAP operating margin at 17.8%. Customer count reached 299,458, up 16%, and average subscription revenue per customer rose 6% to $11,722. HubSpot also raised full-year 2026 revenue guidance to $3.700 billion to $3.708 billion. On paper, that is not a broken quarter. (ir.hubspot.com) ### Then why did the stock drop so much? Because software stocks trade on the shape of future growth, not just the last quarter. HubSpot’s shares fell roughly 24% after earnings as investors focused on underwhelming commentary for the rest of 2026 and the possibility that AI monetization will arrive later than bulls expected. Think of it like switching a store from subscriptions to pay-per-sale — the model may be smarter, but the revenue line gets bumpier while everyone relearns the math. (ir.hubspot.com) ### Where does Morgan Stanley fit into this? Morgan Stanley’s move matters because it captures the new middle ground on HubSpot. The firm did not abandon the stock — it kept Overweight — but it cut the target to $350 from $405 on May 8. That says the long-term story is still alive, but the path now deserves a lower multiple and more caution. Other firms also trimmed targets after the report, which shows this was not one analyst overreacting. (coincentral.com) ### Is this about AI demand or execution? More execution than demand. HubSpot is not struggling to tell an AI story. It is struggling to prove that the story converts cleanly into predictable revenue while the company retrains sales, extends trials, and teaches customers a new buying model. That is a very different problem — and a more annoying one for public markets. (marketbeat.com) ### What should investors watch next? Watch whether Breeze usage turns into steady credits revenue without dragging sales cycles further. Watch whether management keeps raising guidance even with the new pricing model in place. And watch whether the next quarter looks cleaner than this one. If it does, this selloff may look like a reset. If not, the target cuts probably keep coming. (hubspot.com) The bottom line is simple. HubSpot did not scare investors because AI is failing. It scared them because it changed how AI gets sold and monetized, and Wall Street hates uncertainty more than almost anything. (hubspot.com) (seekingalpha.com)