Konstantine Buhler

Who they are

Konstantine Buhler is a Partner at Sequoia Capital — triple-degree Stanford alumni (BS, MS in CS/AI, MBA) who hosts the Training Data Podcast and keynoted AI Ascent 2025 on AI's trillion-dollar opportunity.

Person

Konstantine joined Sequoia in December 2019, six months before GPT-3's release, betting early that AI would be the defining platform shift of the decade. He came up through three Stanford degrees — a BS in Management Science & Engineering, an MS in Computer Science with an AI concentration, and an MBA as an Arjay Miller Scholar — a combination that signals someone who wanted to understand the stack technically before touching capital. Before Sequoia, his career bridged early product and operator roles (Product Manager at RelateIQ/SalesforceIQ, CTO stints at Italia Innovation) with VC apprenticeships at Meritech Capital Partners and The Pritzker Group, plus a Summer Associate stint at McKinsey. The through-line is someone who kept re-entering new contexts — operator, consultant, growth-stage investor, early-stage AI investor — each time resetting closer to the frontier. He hosts Sequoia's Training Data Podcast, interviewing AI founders and researchers, and writes prolifically across TechCrunch, Forbes, LinkedIn, and Medium on agentic AI, AI infrastructure, and the agent economy. On the board side, he holds seats at Kumo.AI and CaptivateIQ, and led Sequoia's seed investment in XBOW, an AI-powered offensive security company, in 2024.

Company

Sequoia's most recent headline is its approximately $7 billion late-stage expansion fund raised in late 2025 and into 2026 — its largest-ever in this category and the first major move under new co-stewards Alfred Lin and Pat Grady, who succeeded Roelof Botha in November 2025 after he stepped down amid internal turbulence. Doug Leone returned as chairman in April 2026, adding a veteran hand during the transition. Sequoia also broke conventional VC norms by investing in three competing AI foundational model companies simultaneously — OpenAI, Anthropic, and xAI — joining Anthropic's early 2026 round at a $350 billion valuation. Separately, in October 2025, Sequoia launched $950 million in new early-stage funds: a $750 million Series A fund and a $200 million seed fund, signaling it is pressing both ends of the capital stack. The firm manages over $85 billion in assets under management as of 2026, with over 60% of new capital in 2025–2026 deployed into AI applications and infrastructure.

Market

Sequoia competes at the top of the VC market against Andreessen Horowitz, Accel, General Catalyst, Lightspeed, Founders Fund, Bessemer, and Index Ventures, with SoftBank and Nvidia's venture arm as rivals specifically in late-stage AI deals. The firm's geopolitical footprint has already been restructured — its Chinese operations became HongShan and its India/Southeast Asia arm became Peak XV Partners following a 2023 split driven by US-China regulatory tensions. The AI investment landscape is increasingly concentrated, with regulatory scrutiny in the US, EU, and China adding friction to cross-border deals even as Sequoia doubles down on AI as a computation revolution reshaping the services economy.

Network

Konstantine has worked closely with Roelof Botha — Sequoia's former Managing Partner, whom he has cited as a mentor over eight years — and co-appeared with Reuters Breakingviews journalist Anita Ramaswamy on The Exchange podcast. His board work puts him in regular contact with the founding teams at Kumo.AI and CaptivateIQ, and his XBOW investment connects him to the AI-powered offensive security space.

Roelof Botha· Former Managing Partner, Sequoia Capital
Anita Ramaswamy· Reporter, Reuters Breakingviews
Alfred Lin· Co-Steward (Managing Partner), Sequoia Capital
Pat Grady· Co-Steward (Managing Partner), Sequoia Capital

How they likely show up

Triple Stanford degree (BS engineering, MS CS/AI, MBA) → comfortable moving between technical depth and business abstraction; unlikely to be impressed by hand-wavy product pitches.
Joined Sequoia in December 2019 specifically focused on seed and early-stage AI — six months before GPT-3 — → pattern-matcher who moved on conviction ahead of consensus, not in reaction to it.
Hosts Training Data Podcast and writes across TechCrunch, Forbes, LinkedIn, and Medium → highly visible by design; treats publishing as a tool for deal-flow and signal-building, not vanity.
Board seats at Kumo.AI and CaptivateIQ plus seed lead on XBOW → invests at multiple stages and goes deep post-investment, not a spray-and-pray operator.
Content themes cluster tightly around agent economy, AI infrastructure, and enterprise AI deployment → has a thesis he returns to repeatedly; conversations that connect to that thesis will land better than broad 'AI is big' framings.
Career path moved from operator (CTO, PM) to investor via two VC apprenticeships → respects founders who have built, not just theorized; likely brings operator empathy to board dynamics.

Conversation tips

→ Reference a specific Training Data Podcast episode or a TechCrunch piece he wrote — he'll know immediately whether you've actually read it or are name-dropping.
→ Come in with a view on the agent economy or AI infrastructure, not a question about it — he's been publishing on this for years and wants a counterpart, not a student.
→ Ask about the XBOW seed investment specifically — leading a seed in AI-powered offensive security is a pointed thesis bet worth unpacking.
→ If you mention Roelof Botha's departure, frame it around strategy continuity, not drama — he's been at Sequoia through that transition and has public loyalty to the institution.
→ His baccalaureate speech at Stanford in 2014 is public — if you've read it, saying so signals genuine preparation and will stand out.

Toolbox

Openers

Open on his AI Ascent 2025 keynote on 'AI's trillion-dollar opportunity' — it's the clearest public statement of his current thesis and a natural anchor for any AI conversation.
Reference the XBOW seed investment — leading Sequoia's bet on AI-powered offensive security in 2024 is a specific, contrarian-ish call worth asking about directly.
Mention the Training Data Podcast by name and cite a guest or episode — he built it as Sequoia's conversation platform with AI founders and researchers, and it reflects how he thinks about the space.

Discovery questions

You led Sequoia's seed in XBOW in 2024 — how do you think about AI in offensive security relative to the broader agentic AI wave you've been writing about?
You've published extensively on the agent economy — where do you think enterprise buyers are actually in their deployment curve versus where the hype puts them?
Sequoia is now backing OpenAI, Anthropic, and xAI simultaneously — how do you think about portfolio construction when the foundational model layer is consolidating so fast?

Avoid

Don't pitch a broad 'AI is transforming everything' narrative without a specific thesis — he's been mapping the agent economy and AI infrastructure space in detail since 2019 and will disengage from generic framing fast.

Make it yours