Lumentum on Optics Shifts in AI Data Centers

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.