苏姿丰2026MIT毕业演讲：技术本身无法定义未来，做出抉择的永远是人（中英文版）

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来源：雙藤書屋

苏姿丰2026麻省理工毕业典礼演讲

完整中文译文

各位下午好！

康布鲁斯校长、戈伦伯格董事会主席、校董、全体教职员工、各位家长、朋友们，以及今天最重要的主角——麻省理工学院2026届全体毕业生：

恭喜大家，这份荣誉你们实至名归。

站在这里，我的心情和预想完全不同。这些年我在全球各地发表过无数演讲，但唯独这一场，饱含私人情怀。不巧撞上墨菲定律，我这周嗓子失声了，如果我的声音有些沙哑，还请大家多多包涵。但能站在这里和各位相聚，我发自内心地开心。

我的麻省理工故事，始于1986年的秋天。那年我17岁，出生于中国台湾，在纽约皇后区长大。曾经我笃定自己数学很不错，可当我走进6.001、6.002两门核心课程的课堂，短短两周我就认清现实：麻省理工到处都是数学天赋远超我的人。

我还记得盯着入学第一套习题集时的心情，心里惊叹：这些题目难到根本无从下手。大一那年，我第一次通宵刷题，那是全新的体验，和同学们一起死磕难题，竟有种别样的乐趣。

麻省理工拥有一种神奇的力量，推着你突破自我预设的上限。你埋头啃下一套套习题，偶尔烧坏一两个电路——在座不少同学应该深有体会——慢慢的，你会相信自己有能力攻克一切难题。在这里塑造的工程师思维，会伴随你的一生。

当下，我们正处在人工智能变革的时代浪潮之中。人工智能是推动科研突破的强大增效工具。

AI能够处理基因组、气候模拟、芯片设计、药物研发等海量数据，挖掘人类研究者耗费数十年才能发现的隐藏规律；它缩短研发周期，打通跨领域研究，全方位加速各行各业的技术突破。

拿医疗行业举例：AI可以协助医生与科研人员，将全球顶尖专业知识送到每一位患者身边，让更多人享受到优质医疗服务。无论是生物医药、清洁能源、气候科学还是高端计算领域，我始终相信：未来十年，人类取得的颠覆性科研成果，总和会超过过去三十年。

但我必须向大家点明一条核心真理：

技术本身无法定义未来，做出抉择的永远是人。

即便AI拥有强大的能力，它依旧无法判断哪些问题值得投入资源攻克；数据残缺时，它无法做出艰难的伦理抉择；它也无法为输出内容造成的现实后果承担责任。

这份责任完完全全落在我们人类身上，并且在当下，这份责任比人类历史任何时期都更为重大。

这也是为什么此刻从麻省理工毕业，是一份难得的馈赠。这个世界不缺只会操作高端技术工具的人，它真正需要的，是懂得为何使用、如何善用工具的人——心怀使命感、拥有理性判断力、兼具勇气的人。是那些面对宏大的全球难题，敢于说出“这件事意义重大，我们一定能找到解法”的人。而这，正是你们在MIT数年求学时光里修炼出的底色。

接下来，我想分享一句希望大家毕业后永远铭记的人生箴言。

我人生中有诸多幸运：有爱我的父母、顶尖的教育资源，职业生涯里也有幸和无数优秀同事共事。很多人都说我运气很好。每当有人向我寻求职业建议，我总会给出两点忠告：第一，你必须持之以恒地努力；第二，承认运气会影响每个人的人生道路。

但在半导体行业深耕数十年、带领团队、扭转AMD发展困境后，我悟出了更深一层的道理：那些事业有成、内心丰盈的人，从不会坐等好运上门——他们主动创造属于自己的运气。

运气绝不只是恰巧出现在正确的时间、正确的地点。

创造运气，意味着：

敢于冒险，主动接手旁人望而却步的硬核难题；

持续走出舒适区，不断突破自我；

选择那些触及你现有知识边界的研究与工作课题；

结交能够鞭策你、让你不断精进的同伴、导师与团队；

始终坚定信念：凭借你习得的工程专业能力，你完全有能力让世界变得更好。

所以今天，我向在场所有毕业生发出一个简单的倡议：大胆去追逐那些极具价值的难题。直面最艰巨的挑战，不要逃避。相信你在麻省理工打磨出的工程师直觉。

这，就是创造属于自己运气的方式。

演讲结束前，我想感谢台下每一位毕业生的家人与挚爱。如果没有他们这些年长久的支持、包容与付出，你们今天的成就无从谈起。请大家为他们送上热烈的掌声。

2026届的同学们，你们即将踏入一个拥有空前技术潜力、同时也遍布全球性难题的时代。请牢牢守住你在MIT习得的专业能力、好奇心、道德判断力与勇气。奔赴最难的课题，亲手创造自己的好运，永远记住：技术的未来，由你们这样的人书写。

再次恭喜各位毕业生！谢谢大家。

Lisa Su MIT 2026 Commencement Speech

Full English Text

Good afternoon.

President Kornbluth, Chairman Gorenberg, trustees, faculty, families, friends … and most importantly, the MIT Class of 2026.

Congratulations. You earned this.

Standing here feels different than I expected. I’ve given a lot of talks over the years … but this one is personal. As Murphy’s Law would have it, I lost my voice this week, so please forgive me if I sound a little raspy. But I am truly delighted to be with all of you today.

My MIT story began in the fall of 1986. I was 17 years old, born in Taiwan and raised in Queens, New York. I’d always thought I was pretty good at math. Then I walked into 6.001 and 6.002, and within two weeks, I realized MIT was full of people who were far better at math than me.

I remember staring at my first problem sets, thinking, wow, these are impossibly hard. I pulled my first all-nighter freshman year — a brand-new experience, and it was weirdly fun working through tough problems alongside my classmates.

MIT has this incredible way of pushing you past the limits you set for yourself. You struggle through problem sets, blow out a circuit or two — some of you may know the feeling — and slowly, you learn to trust your ability to tackle anything hard. That engineering mindset you build here stays with you forever.

Today, we are living through an era of AI transformation. Artificial intelligence is an extraordinary force multiplier for discovery.

AI can process massive volumes of data from genomics, climate modeling, semiconductor design and drug research. It can spot hidden patterns that would take human researchers decades to uncover. It shortens design cycles, connects unrelated research fields, and accelerates breakthroughs across every industry.

Think about healthcare: AI can help doctors and researchers bring the world’s best expertise to every patient, delivering better medical care to more people. Whether we talk about medicine, clean energy, climate science or advanced computing, I truly believe we may make more groundbreaking discoveries in the next 10 years than we have in the past 30 combined.

But let me be crystal clear about one critical truth:

Technology itself does not decide what the future looks like. People do.

For all the amazing things AI can accomplish, AI cannot decide which problems are worth solving. It cannot make tough ethical judgments when data is incomplete. It cannot take responsibility for the real-world consequences of its output.

These responsibilities fall squarely on us — and they matter more today than at any point in human history.

This is why graduating from MIT at this moment is such a gift. The world does not merely need people who know how to operate powerful technological tools. It needs people who understand why and how to use them. People driven by purpose, guided by sound judgment, armed with courage. People who look at an enormous global challenge and say: This issue matters deeply, and we will find a solution. And that is exactly who you have become during your time here at MIT.

Now I want to share the most important lesson I hope you carry with you after today.

I have been blessed in countless ways: loving parents, a world-class education, the chance to collaborate with brilliant colleagues across my career. Many people tell me I am a lucky person. When others ask me for career advice, I always say the same two things: First, you must work relentlessly hard. Second, acknowledge that luck plays a role in every person’s journey.

But over decades working in semiconductors, leading teams and rebuilding AMD, I have arrived at a deeper belief: the most successful, fulfilled people do not wait for luck to find them — they build their own luck.

Luck is far more than simply being present in the right place at the right time.

Creating your own luck means:

Taking bold risks to tackle incredibly difficult problems;

Constantly pushing yourself outside your comfort zone;

Choosing research and work questions that sit at the edge of your current knowledge;

Surrounding yourself with teammates, mentors and peers who challenge you and make you smarter;

Holding fast to the conviction that you, with your engineering skills, can truly change the world for the better.

So my challenge to every graduate here today is simple: Be wildly ambitious about the problems you choose to pursue. Run straight toward the hardest challenges, do not shy away from them. Trust the engineering instinct you’ve honed at MIT.

That is how you build your own luck.

Before I close, I want to thank every family member and loved one in the audience. None of your achievements would be possible without their endless support, patience and sacrifice over these years. Please give them a big round of applause.

Class of 2026, you are stepping into a world full of unprecedented technological potential and unprecedented global challenges. Hold fast to your MIT training, your curiosity, your moral judgment and your courage. Chase the hardest problems, build your own luck, and always remember: technology’s future is written by people like you.

Congratulations once again. Thank you all.