Twilio Stock Hits 52-Week High as AI Customers Keep Spending Bigger

It seems every CX-adjacent earnings call this season has circled the same question: what are customers actually doing with AI, and how much of it is really showing up in the revenue line?

Twilio's second-quarter 2026 results, reported Aug. 6, gave investors and analysts 18 chances to ask some version of that question. The answers sketch a company confident it's found a durable answer—and increasingly comfortable saying so on the record.

The headline financial numbers were strong: $1.5 billion in revenue, up 22% year over year on a reported basis and 17% organically, with non-GAAP income from operations climbing 29% to $285 million.

But CEO Khozema Shipchandler and Chief Revenue Officer Thomas Wyatt spent the bulk of the Q&A session doing something more specific than reciting growth rates — they were narrating, deal by deal, what AI-driven customer behavior actually looks like once it moves past the pilot stage.

Twilio's Growth Story: 18% Year over Year, Strong Market Reaction

Twilio's numbers gave Wall Street enough conviction to send the stock to a fresh 52-week high the very next morning. Here's the financial picture at a glance:

• Non-GAAP gross profit growth: 18% year over year, on $736 million in non-GAAP gross profit — the fifth consecutive quarter of acceleration.
• Free cash flow: A record $353 million for the quarter.
• Dollar-Based Net Expansion Rate: 116%, up from 108% a year ago — even after stripping out the roughly five points attributable to pass-through carrier fees.
• Full-year organic revenue guidance: Raised to 13% to 13.5%, up from 9.5% to 10.5% previously.
• Full-year non-GAAP income from operations guidance: Raised to $1.135 billion to $1.155 billion.
• Q3 organic revenue guidance: 11% to 12% — the company's highest guide in three years, per CFO Aidan Viggiano, though she cautioned the 5-plus-point beats of Q1 and Q2 shouldn't be treated as the new baseline against tougher year-over-year comps.
• Stock reaction: Shares jumped more than 30% the morning after the report, touching a fresh 52-week high of $252.49 around 12 ET — up roughly 108% over six months and 76% year to date, off a 52-week low of $91.84.

What Customers Are Actually Doing With AI

Conversational AI Customers Go From Six to Seven Figures

The most concrete evidence on the call came from two customer examples Wyatt offered in response to an analyst question about AI-native spending patterns. The first, a horizontal conversational AI company, started with Twilio in the first quarter of 2025 at a low six-figure quarterly spend concentrated in voice. Since then, connectivity spend has more than tripled, and software add-on spend has gone from effectively nothing to a run rate exceeding $500,000 per quarter. The account is now generating $6 million in annual run-rate revenue and growing 65% a year.

The second example, a verticalized conversational AI company, started even smaller — $200,000 in the first quarter of 2024. Following the same voice-to-messaging expansion pattern, that account has grown into a $9 million customer with software add-ons growing 100% annually.

Consolidation, Not Diversification

Wyatt used the examples to rebut a direct challenge from an analyst who asked whether AI-native voice startups might eventually diversify their infrastructure spend across multiple providers as they grow and gain negotiating leverage.

"The trend we're seeing is sort of the opposite of what you said, which kind of implies diversification," Twilio CEO Khozema Shipchandler said to the analyst. "Instead, we're seeing consolidation, because to be able to take full advantage of our conversation suite, in particular if you think of an AI native, they want to be able to use context. They want to be able to use the infrastructure to be able to create that AI experience on the other side, without which they can't really do it."

He was careful to note Twilio doesn't have a hard measure of where a given customer's spend is split across providers — the read is directional, not disclosed data.

Wyatt tied the mechanism directly to what customers are buying: memory, orchestration and an observability layer that tracks sentiment across channels.

"We are absolutely seeing the cross-sell momentum and the upsell momentum in the business," he said, describing customers who started in voice adding WhatsApp and other messaging channels, and established software vendors that started in messaging now rolling out branded calling or embedding Twilio's Flex contact center toolkit. Software add-on revenue overall grew more than 25% in the quarter.

Here's how Wyatt describe some customers who have started with voice or messaging: they add a second or third channel because they want to be able to "communicate with memory and orchestration capabilities" and understand sentiment across those channels that can be then be integrated between the brand and the consumer on personalizing those engagements. For instance, they add WhatsApp or other types of chat-based services through messaging.

"We've also seen it with the largest ISVs who are rolling out branded calling when they started with messaging, or they're adding Flex embedded into their core platform when they might have been a messaging-only customer," Wyatt said. "So the channels are happening, and the software upsells you've seen were 25% plus growth this quarter."

Voice AI's Growth Streak Continues

Self-serve voice, often the first entry point for AI-native customers, grew more than 50% year over year in the quarter — up from the 45% growth Twilio reported in the first quarter, when voice revenue overall hit its highest growth rate in 19 quarters. The acceleration suggests the voice AI wave Twilio flagged as a milestone three months ago hasn't crested yet.

Asked whether early adoption of Twilio's orchestrator, memory and intelligence products is coming from customers replacing homegrown context layers or building entirely new AI workflows, Wyatt described "a pretty good balance" of both. Automotive fintech company Car Finance 24/7, a private beta participant now generating a seven-figure deal for Twilio, exemplifies the rip-and-replace motion — a process that existed before, improved by Twilio's new platform. Smaller AI-native companies, meanwhile, are building net-new offers on top of the same infrastructure, spanning both customer support and AI-driven sales outbound use cases.

What Analysts Asked Twilio About AI, and How Twilio Answered

Editor's note: The following reflects questions posed by Wall Street analysts during Twilio's Q2 2026 earnings call on August 6, 2026. Questions are paraphrased; responses are drawn verbatim or closely paraphrased from the call transcript.

Investor / Firm	What They Asked	Twilio's Answer
Callie Valenti, Goldman Sachs	What inning is Twilio in on voice AI adoption, and how durable is the tailwind?	Shipchandler called it "very early innings," noting most people have had fewer than five or six voice AI interactions in the past year. He tied durability to customer ROI on two fronts: revenue uplift and lower AI compute costs, since context reduces how much a model has to process per interaction.
Derrick Wood, Cowen	Is OpenAI, with its new Presence product, a customer, partner or competitor?	Shipchandler said Twilio positions itself as "the Switzerland" of the AI ecosystem, integrating with whatever model, data warehouse or cloud a customer chooses. Wyatt added that Twilio announced integrations at Signal with Codex, Claude Code, Vercel, Replit, Figma and Cursor, aiming to embed Twilio into the agent-builder toolchain.
Siti Panigrahi, Mizuho	Are system-of-record players like Salesforce and ServiceNow a threat or a complement?	Shipchandler called them complementary in practice, noting Twilio integrates with both. His summary line: "To be able to drive any intelligence, you got to have context and you got to have a channel. And so no matter what, Twilio wins."
Joshua Reilly, Needham & Company	Will AI voice startups diversify their infrastructure spend as they mature?	Shipchandler said the data points the opposite direction — toward consolidation — because splitting traffic would cost AI-native customers the context and memory advantages that make their own products competitive.
Analyst on for Samik Chatterjee, J.P. Morgan	Is early traction on orchestrator, memory and intelligence products coming from replacing in-house systems or new AI workflows?	Wyatt described a mix of both, citing Car Finance 24/7 as a rip-and-replace example now in production at scale, alongside smaller AI-native companies building new customer support and AI sales outbound offers on the same infrastructure.

Where Twilio Sees This Going: AI Growing Beyond Voice

Pressed by Bank of America's Koji Ikeda on whether Twilio's long-term opportunity scales more with autonomous AI agent actions or higher-monetized human-driven interactions, Shipchandler laid out a timeline rather than picking a side.

"For the next couple years," he said, the vast majority of interactions will remain human-to-human, increasingly augmented by AI. The stated build target is a shift toward human-to-agent and agent-to-human interactions — with fully autonomous agent-to-agent exchanges still "a while" off, particularly in high-stakes sectors like financial services and healthcare, where he said a human in the loop remains necessary.

That same framework anchored Shipchandler's answer to a separate question about when AI meaningfully moves Twilio's bottom line. He pointed to the same human-to-agent migration as the durability driver, adding that most AI-driven interactions today run through the voice channel — with messaging and email expected to pick up a larger share over time, the way voice traffic itself migrated toward text over the past decade.

"It's pretty early days in terms of the AI story more broadly," Shipchandler said. "I think that we're starting to see an indication that AI can be a meaningful contributor. It's certainly starting to animate a lot of the voice AI commentary that we've given previously, but it's early innings, and we think there's a very durable tailwind here. ... Most of the interactions that we're seeing today are on the voice channel. We would expect that a lot of those move over to other channels over time, too, which also generates pretty good durability for the business."