Tech Disruptors

Enabling mid-market businesses to ramp up customer support and employee experience is Freshworks’ primary focus. The company is expanding its AI suite — AI Agents, AI Copilot and AI Insights — to handle a range of business tasks, from password resets to product returns, for its 75,000 customers. In this Tech Disruptors podcast episode, Freshworks CEO Dennis Woodside speaks with Bloomberg Intelligence analyst Niraj Patel about the company’s evolution from a small-business software provider to serving mid-market (500-5,000 employees) and enterprise clients. Tune in as Woodside discusses the SaaSpocalypse, opportunities beyond the IT service desk such as asset and operations management, evolving buyer behavior with AI tools, AI pricing and more.

Stablecoins are emerging as the core plumbing of on-chain finance, pulling payments, reserves and eventually broader capital markets onto blockchain rails. In this episode of the Tech Disruptors podcast, Charles Cascarilla, CEO and co-founder of Paxos, joins BI analyst Diksha Gera to discuss how this shift can improve access, speed and efficiency across financial markets, with PayPal and Schwab as early proof points in payments and brokerage channels. Listen to hear why bringing assets on-chain could become a natural next step for financial institutions.

To solve the employee-support problem, “you actually have to solve the automation problem,” Serval co-founder and CEO Jake Stauch tells Bloomberg Intelligence senior technology analyst Anurag Rana on the Tech Disruptors podcast. In this episode, they discuss why Jake believes IT service-management (ITSM) providers such as ServiceNow are being disrupted by AI-native automation rather than better ticketing systems. They examine Serval’s approach to turning natural-language requests into deterministic workflows, why large enterprises are willing to replace entrenched ITSM platforms despite long migration cycles and how AI could reshape employee support, automation and the economics of internal service teams.

AI agents are driving more experimentation and early production use cases across enterprise workflows. Box CEO Aaron Levie and AWS Director of Financial Services Market Development John Kain join Bloomberg Intelligence senior software analyst Sunil Rajgopal on this episode of the Tech Disruptors podcast to discuss how financial institutions are applying agentic AI to onboarding, compliance and document-heavy processes. “Agents can only be as effective as the context that they have,” Levie says, while Kain adds, “It’s not to replace the human decision process. It’s to accelerate the human decision process.” The conversation also explores data fragmentation, governance and guardrails, infrastructure-scaling challenges, and why companies remain in the early stages of enterprise-wide transformation.

“We charged for outcomes with Fin…we’re charging when we did the work properly, and we weren’t charging when we didn’t,” Des Traynor, Intercom’s co-founder and chief strategy officer, tells Anurag Rana, senior technology analyst at Bloomberg Intelligence. In this Tech Disruptors episode, Traynor explains why Intercom chose to cannibalize its seat-based support software as a service to launch an AI agent that targets 60–70% resolution, and why outcome pricing changes everything from product design to unit economics. They also dig into what separates resolution from “deflection,” why most companies shouldn’t self-build support agents, how Intercom mixes models — including its own CX models — to optimize quality/cost and why 2026 is about expanding Fin from support into broader customer-facing roles.

Mastercard’s push into stablecoin infrastructure, including its proposed acquisition of BVNK, alongside advances in enabling agentic payments, reflects an evolution rather than a disruption of its core business. In this episode of Bloomberg Intelligence’s Tech Disruptors podcast, Jorn Lambert, Mastercard’s chief product officer, joins BI fintech and payments analyst Diksha Gera to discuss how Mastercard is extending its value proposition around trust into new environments — from owning the “plumbing” of stablecoins through interoperability and multi-rail enablement to acting as the “intent verifier” in emerging agentic payments. Listen to hear more about how Mastercard is shifting from a card network to an intelligent “switch” of multi-rail platforms, as AI agents begin to navigate merchant catalogs and execute autonomous transactions.

“Enterprises cannot vibe operate,” declares Madhav Thattai, GM and EVP of Salesforce AI, on this episode of Bloomberg Intelligence’s Tech Disruptors podcast. Thattai and BI senior technology analyst Anurag Rana discuss why Salesforce thinks the “SaaSpocalypse” narrative misses how agents change outcomes and how the company is trying to measure that shift with Agentic Work Units (AWUs) — a way to track work performed rather than just token inputs. Thattai outlines Salesforce’s four-part agentic enterprise framework: system of context, system of work, system of agency and system of engagement. The conversation explores how large-language model flexibility plus deterministic workflows are used to reduce “prompt doom loops,” improve latency and manage cost. The discussion also covers how Salesforce is monetizing agents via license bundles and consumption, and why AWUs and session-trace tooling are positioned as budgeting and operational aids for CIOs and CFOs.

The assumption that output grows linearly with headcount no longer holds. As AI tools drive a step-change in productivity, companies are rethinking their operating models. In this episode of the Tech Disruptors podcast, Owen Jennings, executive officer and business lead at Block, joins Bloomberg Intelligence Fintech and Payments Analyst Diksha Gera to discuss Block’s decision to reduce its workforce and how AI is reshaping both internal operations and the company’s products – from Cash App’s MoneyBot, which helps automate financial planning and budgeting, to Square’s upcoming ManagerBot, an AI-assistant designed to streamline SMB operations. Listen to hear more about how Block is deploying AI across its ecosystem — and how its approach differs from that of banks.

Lumentum CEO Michael Hurlston and VP of Investor Relations Kathy Ta join Bloomberg Intelligence’s Jake Silverman on this episode of the Tech Disruptors podcast to discuss how optics are playing an increasingly critical role in networking inside and across AI data centers. They explore how the company is becoming a key supplier of systems and lasers to hyperscalers. Hurlston unpacks his broad and lengthy tenure as an executive across semiconductors and hardware and how it’s helping him tackle new challenges as the data center evolves. The conversation also covers how Lumentum’s past as a sleepier supplier to telecom networks positions it well to address today’s AI networking needs.

Resale is evolving from a fragmented, thrift-driven experience into a technology-enabled infrastructure layer for the apparel industry. James Reinhart, co-founder and CEO of ThredUp, joins Bloomberg Intelligence senior equity retail analyst Poonam Goyal on this episode of the Tech Disruptors podcast. They discuss how automation, machine learning and AI are reshaping the economics of secondhand retail. He explains the “single-SKU” challenge that makes resale fundamentally different from traditional e-commerce, and how ThredUp’s investment in supply-chain automation and data science aims to unlock scale, margin expansion and improved inventory velocity. Reinhart also explores the company’s shift toward AI-driven discovery, its expansion into direct-selling capabilities and the growing role of resale as a recommerce partner to brands. He outlines why he believes technology — not just consumer demand — will determine which resale platforms achieve durable profitability in the next phase of retail disruption.

“Not everything is an AI problem,” says IBM Software SVP and Chief Commercial Officer Rob Thomas. In this episode of the Tech Disruptors podcast, Thomas and Bloomberg Intelligence senior technology analyst Anurag Rana discuss IBM’s hybrid cloud and AI strategy, from Red Hat/OpenShift and containers for multicloud portability to why the mainframe remains the platform for real-time, high-availability transactions. Thomas outlines IBM’s “new enterprise stack” and a layered, multimodel approach where orchestration and proprietary enterprise data matter more than any single frontier model — especially as sovereignty requirements rise. They also explore how system-of-record companies are best positioned to succeed in the AI era.

“If anyone’s going to disrupt Khan Academy, it should be us,” founder and CEO Sal Khan tells Bloomberg Intelligence Senior Tech Analyst Anurag Rana, discussing how AI can deliver personalized learning at scale if embedded in classrooms with teacher oversight, guardrails for minors and rigorous model evaluation. Khan explains Khanmigo’s early GPT-4 roots, why Khan Academy is going multi-model to match use cases like Writing Coach and how district packaging helps cover compute costs while enabling monitoring and accountability. He also lays out a vision of the 2030 classroom where AI reduces teacher planning and grading burdens, supports small-group instruction and enables richer assessment, while warning workforce disruption may arrive faster than society is prepared for.

Russia invasion of Ukraine “has completely reframed perceptions of drone utility and value. Where once high-end, exquisite systems dominated the procurement logic, today there’s a much clearer recognition that quantity and replaceability are just as critical,” says AV Chief Growth Officer Church Hutton. On this episode of the Tech Disruptors podcast, Hutton tells Bloomberg Intelligence senior defense weapons analyst Wayne Sanders how the landscape of drone technologies and the scalability of platforms must balance between rapid production and programs of record, while maintaining a technological advantage over adversary weapon systems. Critical to this process is reducing “cost per effect” so that we’re no longer shooting down $10,000 drones with million-dollar interceptors. AV and other defense tech companies continue to have this as their mission statement.