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Superintelligent Ventures: Building sustainable startups that can thrive in the Age of AI

原文来源:scet.berkeley.edu/students/courses/superintelligent-ventures,UC Berkeley Sutardja Center 课程编号:ENGIN 183C-004 学期:Spring 2026 学分:4 讲师:Vik Thairani


课程描述(官方原文 + 翻译)

How do you build a startup when every feature is free, AI power needs are unprecedented, and work is automated away?

当每个功能都免费、AI 算力需求史无前例、工作被自动化时,你如何建立一家创业公司?

We are living in a world of contradictions. AI tools now let small teams build products in days that once took whole firms months or years. Yet the very forces that make AI so powerful also threaten the survival of the companies that use it: commoditized features, collapsing margins, surging compute costs, fragile power grids, and entire categories of work vanishing.

我们生活在一个充满矛盾的世界。AI 工具现在让小型团队可以在几天内构建出过去整个公司需要数月或数年才能做出来的产品。然而,让 AI 如此强大的那些力量也在威胁使用它的公司的生存:功能商品化、利润空间崩溃、算力成本飙升、脆弱的电力网络、以及整个类别的工作消失

This Challenge Lab invites you to confront those contradictions by creating sustainable entrepreneurial ventures that prove lasting; companies designed not just to scale fast, but to survive the turbulence of the AI era. We'll evaluate sustainability using the following three dimensions:

这个 Challenge Lab 邀请你正视这些矛盾,创造能够持续下去的创业企业——不仅仅是快速扩张,而是能在 AI 时代的动荡中存活下来的公司。我们将从以下三个维度评估可持续性:

  • Financial Sustainability: Will your business model still work when AI makes your core feature free?

  • 财务可持续性:当 AI 让你的核心功能免费时,你的商业模式还成立吗?

  • Power Sustainability: With new AI datacenters consuming unprecedented amounts of energy, where in the world will you build, partner, or source power to sustain your venture's growth?

  • 能源可持续性:新的 AI 数据中心消耗着史无前例的能源量,你将在世界哪里建设、合作或获取电力来支撑你企业的增长?

  • Employment Sustainability: How can you build a company that creates meaningful roles and skills pathways instead of hollowing them out?

  • 就业可持续性:你如何建立一家能够创造有意义角色和技能路径的公司,而不是掏空它们?


Startups have always been engines of economic growth and wealth creation. But in the age of AI, they must also be engines of resilience. Sitting at the intersection of technological disruption and systemic fragility, we have a unique opportunity to create ventures that are profitable, responsible, and durable.

创业公司一直是经济增长和财富创造的引擎。但在 AI 时代,它们也必须成为韧性的引擎。我们处于技术颠覆与系统性脆弱的交叉点,有着独特的机会来创造既能盈利、又负责任、且能持久的企业。

In this lab, you'll act as both founder and investor. As founders, you'll use the latest AI tools to build ventures at unprecedented speed; while reflecting on the firms and roles these tools displace. As investors, you'll step into the role of VC to pressure-test which startups can endure and which collapse under financial, power, or workforce constraints.

在这个 Lab 中,你将同时扮演创始人和投资人。作为创始人,你会使用最新的 AI 工具以前所未有的速度建立企业,同时反思这些工具在取代哪些公司和角色。作为投资人,你将扮演 VC 的角色,对哪些创业公司能撑住、哪些会在财务、能源或劳动力约束下崩溃进行压力测试。


三个高潜力的挑战领域

You'll form interdisciplinary teams and take your startup from idea to final pitch across several high-potential challenge areas:

你将组建跨学科团队,把你的创业公司从想法做到最终 pitch,覆盖以下几个高潜力的挑战领域:

  • Moats Beyond Models: What kinds of business models endure when foundation models make most features cheap or free?

  • 超越模型的护城河:当基础模型让大多数功能变得廉价或免费时,什么样的商业模式能够持久?

  • The Future of Work: How can AI ventures create, rather than erase, meaningful jobs and skill pathways?

  • 工作的未来:AI 企业如何能创造——而不是抹去——有意义的工作和技能路径?

  • Global AI Entrepreneurship: How can AI give emerging economies a chance to leapfrog and compete on the global stage?

  • 全球 AI 创业:AI 如何能给新兴经济体一个跳跃式发展、在全球舞台上竞争的机会?


With every breakthrough from OpenAI, Anthropic, Google, Meta, or DeepSeek, entire categories of startups vanish overnight. Features once seen as companies are reduced to lines of API calls, and business models collapse before they even launch. The challenge is no longer just speed—it's endurance: can you build a company that creates lasting value in a world racing toward Superintelligence?

随着 OpenAI、Anthropic、Google、Meta 或 DeepSeek 的每一次突破,整个类别的创业公司一夜之间消失。曾经被视为一个公司的功能被缩减为几行 API 调用,商业模式甚至还没启动就崩溃了。挑战不再仅仅是速度——而是持久力:在一个向超级智能飞速前进的世界里,你能建立一家创造持久价值的公司吗?


讲师简介

Vik Thairani 是 Sterling Keep 的管理合伙人,这是一家支持医疗健康和金融科技领域早期 SaaS 公司的创业工作室。他有二十年的大科技、创业和创业加速经验,专注于应用 AI 来变革公司运营和增长的方式。

Vik 的职业生涯始于微软,在那里他花了十多年时间在产品、营销和销售领导岗位上。此后他联合创立了 Tine Health(一家数字健康公司),后来担任 Wearsafe Labs 的首席营销和运营官。他还曾作为 Berkeley SkyDeck 的 Entrepreneur in Residence 指导创始人。

Vik 拥有 UC Berkeley Haas 商学院的 MBA 学位和 UC Davis 的经济学学士学位(辅修计算机科学)。


About Challenge Labs(官方说明)

Challenge Labs are 4 unit courses for students of all academic backgrounds who seek a rigorous, interactive, team-based, and hands-on learning experience in entrepreneurship and technology. These courses use a unique pedagogy, The Berkeley Method of Entrepreneurship, that involves the use of games, industry guest speakers, team exercises, videos and labs to cover the early part of the startup lifecycle. In these highly experiential courses, students form start-up teams to create technology solutions or services to address a broadly-defined problem posed by an industry partner or social challenge.

翻译:Challenge Lab 是面向所有学术背景学生的 4 学分课程,提供严谨的、互动的、基于团队的、动手的创业与技术学习体验。这些课程使用独特的教学法——Berkeley Method of Entrepreneurship——通过游戏、行业嘉宾、团队练习、视频和实验室来覆盖创业生命周期的早期部分。在这些高度体验式的课程中,学生组成创业团队,创造技术解决方案或服务,以响应行业合作伙伴或社会挑战提出的广义问题。


原文链接:scet.berkeley.edu