Search is shifting to intelligent, context-rich answers from static links. You.com CEO Richard Socher joins Bloomberg Intelligence senior software analyst Sunil Rajgopal on this episode of the Tech Disruptors podcast to discuss how You.com powers AI search for companies such as DuckDuckGo, while differentiating from enterprise peers like Glean and Exa through its web indexing, real-time accuracy and privacy-first design. “The biggest factor to get LLMs to give accurate, non-hallucinated answers is the search infrastructure layer,” Socher says. The discussion also covers the market opportunity, competitive landscape and future initiatives.

“We think that for every gigawatt, it’s about 25 exabytes of new flash creation,” says Greg Matson, SVP and head of products and marketing at Solidigm. Matson joins Bloomberg Intelligence’s Jake Silverman on the Tech Disruptors podcast to discuss how Solidigm is powering AI’s growing data demands. The conversation explores the company’s evolution into a data-center-focused pure play, its innovations in high-capacity SSDs and how it’s positioning to lead in the next era of gigawatt-scale AI infrastructure.

“The world’s now flipped to inference — and it’s limited by power. With the same energy, we can deliver four times the output of a Blackwell,” says SambaNova CEO Rodrigo Liang. Liang joins Bloomberg Intelligence’s Kunjan Sobhani in this episode of the Tech Disruptors podcast to explain how SambaNova’s air-cooled, 10-kilowatt racks and “data-center-in-90-days” model are helping enterprises and governments scale up AI faster — and greener. The discussion covers the rise of sovereign-AI deployments in the UK, Europe and Australia, the economics of hybrid data centers and why energy efficiency — not just compute power — might define the next phase of AI infrastructure.

“We are more than 10x safer on many key safety metrics than an average human driver” says Saswat Panigrahi, Waymo chief product officer. Saswat joins Bloomberg Intelligence’s Mandeep Singh to talk about the inflection in autonomous driving and how Waymo plans to scale across more cities. From the sensors used in Waymo’s AVs, the evolution of its driver system and expansion of its partnerships, the discussion focuses on opportunities and remaining challenges around the rollout of AVs.

“We are moving beyond simple query-response to task completion.” AWS’s Swami Sivasubramanian joins Bloomberg Intelligence Software and Technology Analyst Anurag Rana to contrast consumer chatbots with enterprise agents and the controls they require. Topics include Agent Core for secure deployment (identity, tool use, memory, observability), QuickSuite for business users, Kero for developer workflows, and Transform for code modernization. Their conversation extends into data access across silos, model choice on Bedrock, and why production agents demand governance, connectors, and context. 

Emerging AI-hardware technologies are poised to reshape data centers. Penguin Solutions CTO Phil Pokorny joins Bloomberg Intelligence analyst Woo Jin Ho to discuss how the company’s bespoke engineering approach, which blends deep technical expertise with differentiated hardware and software, helps enterprises, neo-clouds and sovereign entities tackle the complexity of AI deployments across markets. The conversation also explores what it will take to stay ahead in the next phase of AI-infrastructure growth.

AI infrastructure is becoming central to enterprise innovation as companies seek faster app delivery and efficient use of computing resources. In this episode of the Tech Disruptors podcast, Rafay Systems CEO Haseeb Budhani joins Bloomberg Intelligence senior software analyst Sunil Rajgopal to discuss how Rafay helps enterprises and emerging cloud providers simplify AI deployment, optimize infrastructure costs and deliver scalable, developer-friendly experiences. The conversation highlights Rafay’s consumption-based model and focus on orchestration and automation, as well as its growing role in enabling enterprises to build and monetize AI-driven platforms.

How will agentic AI change the way we shop and reshape retailers’ go-to-market strategies? AWS’s David Dorf joins Bloomberg Intelligence analysts Poonam Goyal and Anurag Rana on this episode of the Tech Disruptors podcast to discuss intelligent agents’ growing impact on retail. Dorf explains how these AI “interns” can reason, use tools, act autonomously and even collaborate, unlocking new possibilities across retail operations. From multi-agent pricing systems and associated task automation to smarter supply chains, retailers are already beginning to apply this next wave of AI. The conversation also explores shopper-facing shifts such as agent-led checkout; answer engines like Rufus, Perplexity, OpenAI and Google; and the ripple effects on advertising, loyalty and answer-engine optimization.

“We’re the only vendor that really provides that end-to-end suite and the scale and reach that Docusign has — we’re able to do this across an incredibly large customer universe.” Docusign CEO Allan Thygesen tells Anurag Rana, Bloomberg Intelligence senior technology analyst. “We’re passing 100 million customer contracts uploaded and extracted with AI.” On Thygesen’s second visit to the Tech Disruptors podcast, the two recap the advancements Docusign has made since he was last on in 2023. The discussion covers a broad set of growth initiatives for Docusign including its Intelligent Agreement Management (IAM) and AI products, international and US Federal. Thygesen and Rana also debate the fate of the broad software industry and the seat-based pricing model in the age of AI.

“The line between AI workload and non-AI workload is getting blurrier by the day.” Prasad Kalyanaraman, VP of AWS Infrastructure Services, talks with Anurag Rana, Senior Technology Analyst at Bloomberg Intelligence, about what actually changes as AI scales. Prasad lays out the realities behind “AI data centers”: denser accelerators, non-blocking training networks, and modular in-chip liquid cooling. Underneath, the data-center basic priorities hold -— security as job zero, plus availability, performance, and cost. He also explains why clusters must be fungible between training and inference so accelerators and power never sit idle, and how AWS retrofits existing regions rather than treating AI as a separate build.