What does one of Silicon Valley’s most successful venture firms think founders are getting wrong? At TechCrunch Disrupt 2026, we’re putting all five Benchmark general partners on one stage to find out. Jack Altman, Peter Fenton, Chetan Puttagunta, Everett Randle and Eric Vishria will come together for this main stage session, “What We Believe Now” – the first time the entire current Benchmark partnership has appeared together on the Disrupt Stage in San Francisco.
Rather than another conversation about where venture capital has been, the focus is on where it goes next: where the next generation of startups will come from, which assumptions founders should reconsider, and which opportunities the partners believe are still hiding in plain sight. And 2026 is an especially interesting year to ask them.
Image Credits:TechCrunch
Benchmark has spent decades building a reputation around concentrated early-stage investing. This year, it made one of the biggest changes in its own playbook – raising approximately $2 billion across a $750 million flagship fund and its first $1.25 billion growth fund. The market changed. Benchmark changed with it. Now we want to know what the firm thinks will happen next.
Venture has plenty of capital. Conviction is harder to find.
AI has reshaped the venture market with extraordinary speed. According to the OECD, AI companies captured 61% of global venture capital investment in 2025 – $258.7 billion of $427.1 billion invested overall. Yet that capital was far from evenly distributed: deals worth more than $100 million represented roughly 73% of total AI investment value. That creates a strange environment for founders.
There is huge appetite for technology businesses, alongside growing competition for a relatively small number of companies investors believe can become category leaders. Is the next billion-dollar company another AI application, or is the application layer already overcrowded? Does defensibility sit in models, infrastructure, proprietary data or distribution? Are some of the best businesses being overlooked because everyone is chasing the same themes? And when founders can build products faster than ever, what actually makes one company investable?
There probably won’t be complete agreement onstage. That’s the point. Hear this complex discussion among five VC heavyweights on the Disrupt Stage. Register now to save up to $200 before prices increase on September 25.
Five investors on the Disrupt Stage, very different routes to the partnership
Benchmark’s partnership brings together experience from founding companies, backing enterprise software, investing in frontier technology, and helping businesses navigate IPOs and acquisitions.
Jack Altman joined Benchmark this year after founding Lattice and subsequently building his own venture firm, Alt Capital. Before joining Benchmark, Alt Capital had raised $425 million across its early-stage investing activities. His path gives the discussion an unusually direct founder-to-investor perspective.
Peter Fenton brings one of venture’s longest track records. His investments span consumer and enterprise companies, including current AI bets such as Sierra, Digits and Sema4.ai. He has served as a director through seven successful IPOs, including Twitter, Elastic, New Relic, Zendesk and Yelp.
Image Credits:TechCrunch
Chetan Puttagunta focuses on early-stage enterprise software and has backed companies including MongoDB, MuleSoft, Elastic, Modern Treasury, Legora and Stytch.
Everett Randle brings experience investing across stages and categories, with investments that include Anthropic, SpaceX, Rippling, Flock Safety, Gumloop and Chainguard.
And Eric Vishria focuses on early-stage infrastructure and enterprise software, with investments including Amplitude, Confluent, Fireworks.ai and Cerebras Systems. Before becoming an investor, he was himself a startup CEO, co-founding RockMelt before its acquisition by Yahoo.
Put those perspectives together and this session, “What We Believe Now,” becomes less about a single Benchmark thesis and more about how experienced investors disagree, update their assumptions, and decide where conviction is warranted.
Hear this session live in October and save up to $200 when you register before prices rise on September 25.
Sometimes the opportunity hiding in plain sight looks like a bad meeting
Cerebras is a useful example. Vishria recently told TechCrunch that he almost didn’t take his first meeting with the AI chip startup in 2016. Hardware was outside Benchmark’s comfort zone, and what Cerebras wanted to build looked extraordinarily difficult.
Cerebras Systems co-founder CEO Andrew Feldman (left) with Benchmark general partner Eric Vishria (right).Image Credits:Eric Vishria
By the third slide, he had changed his mind. Benchmark went on to co-lead the company’s $25 million Series A. A decade later, Cerebras went public, with Benchmark holding a 9.5% stake at the IPO.
That story encapsulates something important about venture investing. The best opportunity does not always arrive looking like the consensus winner. Sometimes it challenges the investor’s existing thesis. Sometimes the technology is too early. Sometimes the market does not obviously exist yet. And sometimes knowing when to change your mind is more valuable than being right from the beginning. Expect that kind of thinking to surface on the Disrupt Stage.
Founders should come to this Disrupt session prepared to disagree
For founders, there may be no more useful part of the session than hearing what Benchmark believes entrepreneurs are currently misreading. Not because Benchmark is automatically right, but because understanding how sophisticated investors assess markets, teams, and opportunities gives founders another way to interrogate their own assumptions.
Investors can compare those frameworks with their own. LoB leaders can see which shifts venture firms believe are durable enough to shape the companies they work for – and where capital may flow next. For students, aspiring founders, and anyone simply trying to understand where technology is heading, it’s a rare opportunity to hear five investors with very different experiences work through their ideas in the same room.
Image Credits:Kimberly White / Getty Images
And those ideas matter well beyond the venture industry. Investment decisions are ultimately bets about which technologies, business models, and founders have the potential to shape the next decade.
Benchmark has its bets. What are yours? Decide at TechCrunch Disrupt 2026
A lot can change in the world of tech in twelve months. AI capabilities move. Markets emerge. Categories disappear. Companies that looked inevitable suddenly don’t, while businesses few people were watching break through. Having a thesis matters. Knowing when to update it matters more.
Join Jack Altman, Peter Fenton, Chetan Puttagunta, Everett Randle and Eric Vishria on the Disrupt Stage and hear what Benchmark believes now – and what might convince them to change their minds next.
Disrupt 2026 returns to San Francisco’s Moscone West, October 13–15, bringing together more than 10,000 founders, investors, operators and innovators across six stages, roundtables, breakouts, Startup Battlefield, the Expo Hall, and more.
The next great company may already be being built. Find out where some of Silicon Valley’s most experienced investors are looking for it at TechCrunch Disrupt 2026. Register now to save up to $200 before prices increase on September 25 at 11:59 p.m. PT. Save an additional 30% if you register with a group of four or more.
Image Credits:Noam Galai / Getty Images
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Financial experts, government officials, central bank chiefs, heads of multilateral organisations and other participants are gathered this week in Bangkok, Thailand, for the annual meetings of the International Monetary Fund (IMF) and World Bank scheduled to be held between October 12 and 18.
Participants are expected to deliberate on the disruptive potential of Artificial Intelligence (AI) in the global economy, the widening war in the Middle East and its impact on the global economy, the global energy supply shock, mounting debts, and rising interest rates that pose daunting risks to global economic growth.
IMF Managing Director Kristalina Georgieva says the Queen Sirikit National Convention Centre will host 18,000 people who were registered to attend the meetings, 4,000 more than the last off-site meetings held in Morocco in October 2023.
The IMF has made no significant change to its forecast of 3% global growth in 2026, and the body says some countries are expected to be downgraded because of war and reduced energy exports.
The meetings are also expected to address the growing public debt burden that has slowed growth and worsened inflation, as public debt remains at its highest level since World War Two and will exceed 100% of GDP before 2030, according to the IMF.
Emerging markets and low-income countries are particularly vulnerable, given high public debt levels that will have to be renegotiated at higher interest rates.
Equally important on the agenda is the precarity of platform-driven labour, amid AI-enabled automation and the changing future of work.
On Monday, Ms Georgieva said Artificial Intelligence (AI) could affect about 40 per cent of jobs globally, urging governments to prepare workers for the changing labour market. She described AI as a “slow-moving tsunami” for the labour market, saying it could augment, downgrade or eliminate jobs.
IMF estimates show that AI could affect about 60 per cent of jobs in advanced economies and 23 per cent in low-income countries, reflecting the slower spread of AI rather than greater protection from its effects.
Bangkok
The Bangkok meetings are taking place amid disruptions and a war that has negatively affected energy supplies, especially via the Middle East.
Flights to Bangkok, the host city of this year’s off-site meetings, often route through the Middle East, creating immediate challenges for global travellers heading to Thailand’s capital.
On Sunday, there were attacks on Saudi airports, prompting disruptions to international travel.
The IMF and World Bank’s last off-site annual meetings took place in Morocco in 2023.
Nigeria’s participation
Already, Nigeria’s Minister of Finance and Coordinating Minister of the Economy, Taiwo Oyedele, has arrived in Bangkok, Thailand, to lead the nation’s delegation to the meetings
A statement from the Federal Ministry of Finance said the annual gathering provides Nigeria with an opportunity to engage with international financial institutions and development partners on economic issues affecting the country and its development priorities.
Mr Oyedele’s presence at the meetings is equally expected to allow the Federal Government to present its economic priorities to development organisations and international partners. He is also expected to discuss how external cooperation can support domestic reform efforts.
The finance ministry website also says that, on the sidelines of the meetings, Nigeria will convene investors, project sponsors and public institutions around a curated pipeline of bankable opportunities across strategic sectors. The programme is focused on private-capital mobilisation, food security and infrastructure development. Another event focuses on investor and project-owner conversations at Fairmont Bangkok Sukhumvit.
PREMIUM TIMES newspaper is in Bangkok, Thailand’s capital, to report on the meetings and other policy decisions as they affect the global economy and Nigeria’s domestic affairs.
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Meta’s Superintelligence Lab released a pair of new state-of-the-art models on Monday, Muse Wonder and Muse Wonder Full, representing the company’s first attempt at a frontier model.
Where Muse Spark aimed to be a lightweight model that could perform at low latency, the Wonder models are larger and said to be more capable, with higher benchmark scores and better results on complex tasks like coding.
According to Meta’s testing (presented in the model card), Wonder and Wonder Full achieve comparable benchmark scores to Fable 5.1 and GPT-6 Astra.
“Together, they mark the next step on our scaling ladder and a major leap toward personal superintelligence,” Meta’s blog post about the models reads.
That scale is reflected in the pricing: Accessed through the Meta Model API, Wonder will cost $4 per million input tokens and $20 per million output tokens, making it roughly equivalent in cost to GPT-6 Sol or Opus 5.5.
Notably, Wonder Full will only be available to Muse Code subscribers and will not be served through the API. Both models will also be used to power the Muse agent.
In keeping with Meta’s interest in developing personal assistants that can perform tasks over a long period, the company placed particular emphasis on the new models’ ability to retain and synthesize information given by the user, a property Meta calls “active memory.”
To achieve better recall, Meta highlighted the MemoryBench benchmark, which challenges continual learning and memory construction frameworks. According to the company’s testing, Muse Wonder now scores higher on MemoryBench than Fable, Opus, or Astra.
“We put a tremendous amount of effort into making sure your model can remember what’s important to you over days, weeks, months, and beyond,” said research scientist Kavya Kopparapu in a video accompanying the launch.
The new models are the first frontier model release since Scale AI founder Alexandr Wang restructured Meta’s AI efforts in August of last year. Since then, Meta has released its lightweight Muse Spark model and Muse agent but has avoided the kind of state-of-the-art model releases OpenAI and Anthropic are known for.