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Tech Disruptors
Tech Disruptors
Author: Bloomberg
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© 2022 Bloomberg
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Tech Disruptors by Bloomberg Intelligence features conversations with thought leaders and management teams on disruptive trends. Topics covered in this series include cloud, e-commerce, cybersecurity, AI, 5G, streaming, advertising, EVs, automation, crypto, fintech, AR/VR, metaverse and Web 3.0.
This podcast is intended for professional investors only. It is being prepared solely for informational purposes only and does not constitute an offer or investment advice.
318 Episodes
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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.
In banking, the AI question isn’t “Can you build it?” — it’s “Can you explain it, monitor it, and shut it off when required?” As the hype cycle moves past chatbots, a real competitive divide is emerging: institutions that can operationalize AI with auditability and control versus those layering copilots onto legacy workflows and hoping for the best. In this episode of Bloomberg Intelligence’s Tech Disruptors podcast, Capital One’s Chief Scientist and Head of Enterprise AI Prem Natarajan joins BI fintech and payments analyst Diksha Gera to discuss why the bank is building — not just buying — its AI stack, and what gives Capital One a technology edge over competitors. Listen in to hear more about the bank’s expansive approach to AI as a capacity multiplier rather than a means to cut costs.
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.
Reddit’s Chief Operating Officer Jen Wong discusses the impact of gen AI models on its platform and how the company is positioning itself in the era of chatbots and LLMs. Wong sits down with Bloomberg Intelligence’s Global Head of Technology Research Mandeep Singh to discuss the company’s ads business and how it plans to leverage LLM search to boost engagement. All the metrics referenced in the episode are as of December 2025.
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.
“No great company became a great company because they saved a lot of money,” says Eric Boyd, president of Microsoft’s AI platform. “They became a great company because they delivered amazing innovative experiences.” In this episode of Tech Disruptors, Boyd explains to Bloomberg Intelligence Senior Technology Analyst Anurag Rana how Azure OpenAI Service, Azure Machine Learning and Azure AI Foundry fit together. He also discusses what’s required to move to broad usage from a pilot: securing enterprise data, retrieving the right context (including “IQ” tooling), evaluating prompts across models and managing costs with techniques like model routing.
“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.
AI demand is scaling and infrastructure complexity is rising. Vultr CEO JJ Kardwell returns to the Bloomberg Intelligence Tech Disruptors podcast with an update on the market’s AI cloud demand. He spoke to BI tech analyst Woo Jin Ho about production AI workloads, GPU utilization and lifecycle economics, global data-center strategy, supply-chain constraints and capital discipline, as well as outlining how privately held Vultr is positioning for durable growth in the industry’s next phase.
“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.
Lightmatter CEO Nick Harris joins Bloomberg Intelligence’s Kunjan Sobhani and Jake Silverman to explain why lasers — not just chips — are the missing piece to making co-packaged optics practical at hyperscale. Harris unpacks Guide, Lightmatter’s VLSP light engine, and Passage, the company’s photonic interconnect platform, walking through real-world reliability, density and power trade-offs, and how new EDA and foundry partnerships (Synopsys, Cadence, GUC) move photonics into standard semiconductor workflows. The conversation covers near-package vs co-package optics, deployment timing, who the early buyers will be, and the milestones to watch as photonics shifts from lab demos to production racks.
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.
Ciena is expanding from its telecom optical roots to become a critical enabler of AI-driven data-center infrastructure. In this episode of Bloomberg Intelligence’s Tech Disruptors podcast, Ciena Executive Advisor Scott McFeely joins BI analyst Woo Jin Ho to discuss how the company’s optical technology has evolved alongside hyperscale cloud and AI workloads, from coherent optics and WaveLogic DSPs to optical pluggables for scale across applications. They also explore how AI is reshaping optical demand around and inside the data center, Ciena’s move deeper into the rack through its Nubis acquisition and how its expansion into AI changes its intermediate-term growth trajectory.
‘We’ve seen an incredible acceleration of true automation, where AI agents were able to fulfill a significant amount of engagement with a consumer, whether it be voice or chat-based,” says Scott Russell, CEO of NiCE. He sits down with Bloomberg Intelligence analyst Mandeep Singh to talk about the deployment of AI agents for contact centers. From fine-tuning of large language models to handling a high volume of transactions, the discussion focuses on the various considerations for AI agents related to customer service across a range of industries.
Quantum computing is extending beyond the lab to redefine how we address complex problems. On this episode of Tech Disruptors, IonQ CEO Niccolo de Masi joins Bloomberg Intelligence analysts Jake Silverman and Kunjan Sobhani to explain what quantum computing is and how performance, reliability and cost will determine the winners of the race for fault tolerance. The conversation also explores how quantum computing can complement future AI systems — enabling new breakthroughs in security, networking and high-impact applications like materials and life science — while setting up a “winner-takes-most” competitive dynamic in the industry.
Powering businesses to accomplish their daily work remains Intuit’s central mission, using AI and a network of human experts to accomplish a wide range of business tasks for more than 100 million customers, from closing accounting books, processing payroll to preparing taxes. In this Tech Disruptors podcast episode, Intuit CTO Alex Balazs speaks with Bloomberg Intelligence analyst Niraj Patel about the company’s evolution from a provider of desktop products to its latest AI agents. Balazs also touches on its data-scale differentiator, how GenAI is reshaping software and Intuit’s future position as a financial-operating system.Tech Disruptors: Listen to this episode on Apple Podcasts and Spotify.
“AI removes the friction from the intent to the implementation,” says Amanda Silver, corporate vice president and head of products, apps and agents at Microsoft. She talks with Bloomberg Intelligence senior technology analyst Anurag Rana about how copilots and agents are collapsing the software lifecycle — from natural-language ideas to code, tests and operations — shifting developers to reviewing and governance from typing, and making “evals” the new testing standard. She cites big-tech technical-debt wins, such as .NET and Java upgrades requiring 70–80% less manual effort, and SRE agents that reduce remediation time. Additionally, the two discuss GitHub Copilot, already among top contributors in key repos and adopted across most large enterprises.
“Internally, we’ve kind of moved from a model where kind of engineering kind of owned R&D, to a model where everyone is now in R&D” says Canva CTO Brendan Humphreys. On this episode of the Tech Disruptors podcast, Humphreys tells Bloomberg Intelligence senior technology analyst Anurag Rana how the web-native platform is expanding into the enterprise while leaning into AI, including a disciplined API layer to ship quickly, broad use of coding assistants with strict human-in-the-loop review and hiring for “AI-native” skills alongside companywide experimentation. Humphreys also covers how acquisitions like Affinity and Magic Brief fit the road map, and why compliance, governance and brand control are central as Canva targets 1,000-plus employee companies.
Embedded finance — integrating payments and financial services directly into apps and platforms — is entering its next phase, shifting from niche fintech use cases to core infrastructure for global players. In this episode of Tech Disruptors, Marqeta CEO Mike Milotich joins Bloomberg Intelligence analyst Diksha Gera to discuss how embedded finance, buy now, pay later and flexible credentials are reshaping payments at the point of sale, online and in store. They explore Marqeta’s competitive positioning, AI-driven personalization, the regulation vs. speed trade-off and why Europe could be an underappreciated growth lever as embedded finance moves upmarket.
Consumer credit may be approaching its foundational AI moment — with buy now, pay later emerging as the first visible act. On this episode of the Tech Disruptors podcast, Max Levchin, CEO and founder of Affirm and co-founder of PayPal, joins Bloomberg Intelligence global fintech and payments analyst Diksha Gera to discuss how machine learning is replacing static underwriting with real-time, transaction-level intelligence. They also explore why this shift could fundamentally reshape the economics of consumer lending over the next decade.
Now an annual tradition on the Bloomberg Intelligence Tech Disruptors podcast, John Chambers, former Cisco CEO and founder of JC2 Ventures, sits down with hardware analyst Woo Jin Ho to kick off 2026 with his latest predictions for the tech sector and the global economy. Chambers argues that AI is entering a phase of rapid adoption — driving enterprise productivity gains, reshaping capital allocation and compressing winner–loser cycles across industries. The conversation explores AI infrastructure investment, enterprise adoption, cybersecurity risks and the implications for labor markets, M&A, IPO activity and market volatility, with Chambers remaining bullish on AI’s long-term impact despite near-term disruption.


