Sequoia's New Guard: Founders, AI, and the Future

Bloomberg Tech is live from Silicon Valley, dissecting the critical financial and strategic moves shaping the AI landscape. Host Ed Ludlow sits down with key figures to unpack the latest developments, from mega bond sales to shifts in AI leadership and the enduring influence of venture capital.

Alphabet's Mega Bond Sale and AI Debt

The program kicks off with a deep dive into Alphabet Inc. (NASDAQ:GOOGL)'s substantial $25 billion bond offering. This deal is seen as a crucial test of investor appetite for debt tied to AI infrastructure. Robert Schiffman, Senior Credit Analyst at Bloomberg Intelligence, notes that the move is positive, indicating that hyperscalers are monetizing their AI investments and boosting confidence. "The demand for the deal I think will be substantial," Schiffman predicts, adding that Alphabet is essentially front-running next year's borrowing needs.

The full discussion can be found on Bloomberg Technology's YouTube channel.

Schiffman highlights the sheer scale of Big Tech's borrowing spree since 2025, with companies like Amazon and Meta also raising significant debt. He differentiates this trend from past speculative bubbles, emphasizing that these are established businesses generating cash and investing for future growth. "They have tremendous balance sheet flexibility," he states, pointing to Alphabet's high credit rating and substantial net debt capacity.

Google's AI Leadership Shakeup

The conversation shifts to significant changes within Google's AI leadership. Longtime leader Jeff Dean is departing to launch a startup, accompanied by several senior DeepMind researchers. Meanwhile, DeepMind CEO Demis Hassabis is stepping back from day-to-day operations to become Chairman of DeepMind and Alphabet's Chief Scientist. This shakeup occurs amidst mounting pressure on Alphabet to maintain its pace in the AI race and convert research into commercial success.

The Maturing AI Capex Cycle and Economic Impact

Natalie Gallagher, Principal Economist and Director at Board, provides an economist's perspective on the AI capital expenditure cycle. She observes that hyperscalers are largely following a playbook of using internal cash flows and keeping leverage low. Gallagher notes that Alphabet's recent quarter of negative cash flow since its IPO is not surprising given the significant AI investments. "It really signals we are continuing to mature in the cycle," she says.

Gallagher addresses the broader economic implications of AI, including its impact on capital expenditures and asset price valuations. She also touches on the potential disinflationary long-term effects of AI-driven productivity gains, a concept previously discussed by former Federal Reserve Chairman Kevin Warsh. However, when examining metrics like total factor productivity, Gallagher finds that the macro evidence for AI meaningfully impacting productivity is currently lacking, with trailing four-quarter data showing essentially flat results.

Western Digital Faces Investor Scrutiny

The segment turns to the hardware side of AI infrastructure, focusing on Western Digital. The company's stock experienced a significant drop after a disappointing outlook, despite the broader AI infrastructure boom. Irving Tan, CEO of Western Digital, joins the program to reflect on the moment. He highlights strong quarterly results with over 40% revenue growth and robust cash flow generation, but acknowledges high investor expectations. Tan emphasizes the continued robust demand from hyperscalers for storage and the company's roadmap to meet it.

Tan explains the industry's focus on increasing storage density rather than sheer unit production. Western Digital is shipping a 32-terabyte hard drive and will introduce a 40-terabyte drive this quarter. He details the engineering feat involved in these advancements and the qualification processes. Regarding long-term agreements, Tan notes they are in place to support demand through 2031, with pricing negotiations ongoing for base and tiered structures as capacity increases.

Despite the stock's pressure, Tan reiterates that hard drives remain a fundamental piece of AI infrastructure, with 80% of cloud AI storage relying on them. He expresses excitement about the current moment and the responsibility to deliver on this opportunity.

Figma CEO Forfeits Stock Amid AI Disruption Fears

The discussion touches upon Figma's recent earnings report, which exceeded expectations. CEO Dylan Field addresses the company's decision to forfeit $46 million in stock awards, framing it as a responsible move during a period of heavy investment for the future. He states that the company's guidance does not always price in potential upside, aiming to provide conservative forecasts based on observable data. Field expresses confidence in the company's growth trajectory and its focus on key initiatives like the "Figma Agent" and bringing code into the canvas.

Sequoia Capital's New Leadership and Vision

The final segment features an in-depth discussion with Sequoia Capital's new leaders, Alfred Lin and Pat Grady. They discuss the firm's enduring principles and new emphases, including a $10 billion plan for a new era of investment. Lin stresses the importance of collective strength, integrity, and vision, and that "Our Sequoia" is a shared endeavor.

Grady elaborates on the co-steward model, rejecting the notion of hierarchy and emphasizing influence awarded to expertise. He highlights the firm's flexibility in process while remaining tight on principles and values. They discuss their customer-obsessed approach, working on the founders' timeframe, and enabling outlier founders to "play free."

The conversation delves into their significant investment in Anthropic, acknowledging the risk involved but driven by conviction in the company's technology. They also touch upon their continued investment in chips and their foundational role in backing companies like SpaceX. The leaders emphasize that their partners are among the best in the world, possessing the unique insights needed to identify outlier potential in people and markets, transcending company stages.