The AI Hype Index: AI gets booed in graduation season AI热度指数：毕业季AI遭冷遇

The image is potent: a former tech emperor, drenched in both sweat and irony, booed by the very cohort he claims to be empowering. When Eric Schmidt told the University of Arizona class of 2026 that their mission is to shape AI, the chorus of disapproval wasn't just heckling; it was a rejection of an entire narrative. These graduates, soon to be handing resumes to HR departments automated by the very technology Schmidt champions, didn't want a pep talk. They wanted a lifeline. His concession that their fears are "rational" was a crack in the corporate facade, a moment of startling honesty in a commencement circuit increasingly hijacked by AI evangelism. This wasn't a failure of communication; it was a successful transmission of a deep, societal disconnect.

The tech industry has a massive PR problem, and it's starting to look like a class problem. For the past year, the relentless drumbeat has been one of inevitable, almost divine, transformation. AI will augment us, cure diseases, and solve climate change. The subtext, however, has been a starkly different tune: adapt or be rendered obsolete. The graduates booing aren't Luddites throwing shoes at a spinning jenny. They are the first generation to enter the workforce with the explicit knowledge that the rules are changing mid-game, that their newly minted skills may have a shorter shelf life than their diplomas. When Schmidt, a billionaire venture capitalist whose firm has poured billions into AI, stands before them and says "your future is about mastering this," it rings hollow. It sounds less like an invitation and more like a non-negotiable demand from an occupying force.

This schism is revealing a critical flaw in the Silicon Valley mindset: a belief that technological superiority automatically confers moral and social legitimacy. The industry is winning every tangible battle. OpenAI, the standard-bearer of this new era, is a legal and financial juggernaut. It wins copyright lawsuits that should, by any sane measure, be slowing it down. It secures eye-watering funding rounds that value a single company at more than the GDP of many nations. It forges partnerships with media giants and enterprises desperate not to be left behind. On paper, it’s an unstoppable juggernaut. The booing, however, is a data point that doesn't fit into the pitch deck. It represents an intangible but powerful metric: public consent. And that consent is fraying at the edges.

The industry’s response to this skepticism has been telling, oscillating between dismissal and co-optation. The dismissive route treats critics as naive, emotional, or simply anti-progress. The co-optation route is more insidious, and Reese Witherspoon’s recent warning to women to "embrace it or be replaced by it" is a masterclass in it. It’s a brilliant, cynical maneuver that repackages corporate coercion as feminist empowerment. The message isn't "this technology is fair and equitable," but "the system is rigged, so you'd better play by its new rules." It shifts the burden of adaptation entirely onto the individual, absolving the creators of any responsibility for the disruption they sow. It’s not liberation; it’s a sophisticated form of victim-blaming wrapped in a girlboss aesthetic.

This brings us to the core of the issue: the commencement boos are not just about jobs. They are about power, agency, and the future's authorship. Schmidt’s phrase "help shape AI" is particularly galling to ears attuned to this dynamic. For the vast majority of people, including these graduates, "shaping AI" will mean nothing more than being shaped by it. The shaping is happening in boardrooms at OpenAI, in research labs at Google DeepMind, and in venture capital meetings in Sand Hill Road. The public gets to participate through user feedback, terms of service agreements they click "accept" on, and, as we saw, occasional public displays of derision. The class of 2026 isn't being invited to a collaborative workshop; they are being handed a user manual for a future they didn't design.

Yet, the industry powers on, buoyed by its own momentum and the undeniable utility of its products. This is the great paradox. The technology works. It is remarkable. It writes code, summarizes legal briefs, and generates images that blur the line between human and machine creation. Its practical value is undeniable. But its societal integration is being handled with the grace of a bull in a china shop, or more aptly, a blacksmith ignoring the industrial revolution. The tech world is so focused on the what—the model's capabilities, the next benchmark—that it is catastrophically failing at the how—the how of deploying it ethically, the how of distributing its benefits, the how of managing its very real, very immediate harms.

The booing at graduations is a warning flare. It’s a signal that the grand narrative of AI as an unalloyed good, a gift from a benevolent tech elite, is failing to land. It’s being met with the lived experience of precarity, inequality, and a deep-seated distrust of the institutions that are mandating this change. The graduates understand something the boosterish CEOs might not: a technology’s impact is not defined by its theoretical ceiling, but by the ground-level reality it creates. And right now, that reality feels less like a promise and more like a threat, delivered with a smile by people who stand to profit most from it.

The industry can choose to listen to the chorus, not as noise to be suppressed, but as vital feedback on its own trajectory. It can start to see the skepticism not as a problem of public relations, but as a legitimate claim for a seat at the table. Or it can double down, treating dissent as a bug to be patched, and hope that the utility of the product will eventually drown out the discontent. If it chooses the latter, it should understand that the class of 2026 has a long memory. The boos today may turn into regulatory fury, consumer revolt, or a simple, quiet erosion of trust that no amount of funding can buy back. You can win in court and in the stock market. But if you lose the commencement speech, you might be losing the future you’re so eager to sell.

台下穿着聚酯纤维毕业袍、汗流浃背的年轻人们，正在用嘘声给前谷歌CEO埃里克·施密特上一堂关于“AI未来”的公开课。这一幕太精彩了，精彩得像一出精心编排的讽刺剧。当硅谷的传奇人物站在亚利桑那大学的讲台上，试图用“帮助塑造AI”的宏大叙事来给毕业生“赋能”时，他收获的不是掌声，而是“理性的恐惧”——他自己也承认了。毕业生们嘘的不是一个具体的人，他们嘘的是一整个由科技巨头主导的、将不确定性包装成“机遇”的话语体系。这些年轻人背负着学费贷款，眼看着AI在创意、文案、基础编程等领域攻城略地，他们敏锐地嗅到，所谓“塑造未来”的入场券，可能需要以自己未来的就业岗位为献祭。

施密特的回应堪称当代科技领袖的经典话术：“我听见你们了”，然后承认恐惧“合理”。这太轻巧了。承认恐惧合理，并不意味着你提供的解药不是一剂毒药。硅谷的剧本永远是：我们创造了革命性工具，现在，轮到你们这些被工具改变命运的人，来负责让它变好。这是一种极其傲慢的责任转嫁。施密特的演讲，和奥特曼在各种场合的布道一样，本质上是一种“AI布道”——他们描绘着一个由AI驱动的美好新世界，却对通往这个世界路上可能摔得粉身碎骨的普通人轻描淡写。毕业生们的嘘声，是对这种布道式的、单向度乐观叙事的本能反抗。他们在说：别用未来的幻象来安抚我们当下的焦虑。

而这种焦虑，绝非杞人忧天。从中佛罗里达到中田纳西，毕业典礼上的嘘声此起彼伏，这已经不是个别事件，而是一股正在凝聚的社会情绪。当AI生成的文字、图像、代码开始充斥世界，它首先冲击的，恰恰是那些受过高等教育、依赖知识与技能谋生的“中间阶层”。毕业生们不是恐惧进步，他们是恐惧在“进步”中被悄然归零，成为技术叙事里被优化掉的成本。他们比任何人都清楚，AI的发展速度和资本意志，远远跑在了社会安全网和伦理讨论的前面。他们的学位，可能正在被自己即将面对的工具迅速重新定价。

然而，世界并没有因为校园里的嘘声而停下脚步。资本和权力的齿轮在另一个频道上轰鸣。OpenAI一边在法庭上频频获胜，一边吸纳着巨额投资，其合作版图还在疯狂扩张。这里存在一个巨大的断裂：一边是象牙塔内弥漫的、真实的生存忧虑；另一边是华尔街和硅谷会议室里，对增长曲线和市场垄断的兴奋追逐。AI的发展似乎已经进入了一个自我强化的飞轮，它的动力不再来自社会的广泛共识或共识的构建，而是来自既有的技术惯性和资本逻辑。毕业生们的愤怒，目前看来，更像是这个高速飞轮边缘发出的微弱摩擦声。

而最讽刺的注脚，来自娱乐界。瑞茜·威瑟斯彭警告女性要拥抱AI，否则就会被取代。这番话比施密特的演讲更加露骨，也更加冰冷。它剥下了所有温情脉脉的“共同塑造”外衣，露出了最赤裸的竞争法则：这不是选择题，这是生死时速。它完美地印证了毕业生们的恐惧——未来不是一个可以商量的共建蓝图，而是一场你死我活的零和游戏，而AI就是这场游戏的规则改变者。当娱乐明星也开始贩卖这种“不进则退”的精致恐慌时，说明AI的焦虑已经从技术圈、学术圈，全面渗透进了大众文化的肌理。

所以，嘘声过后呢？大概率什么都不会改变。资本会继续涌向实验室，代码会继续迭代，合作协议会继续签署。施密特们可能会在下一次演讲中调整一下措辞，但AI高歌猛进的主旋律不会变。那震耳的嘘声，更像是一次集体的心理示威，是年轻一代在被算法定义未来之前，徒劳但必要地宣告自己的在场与不屈。它揭示了一个残酷的真相：我们或许正站在一个技术奇点的前夜，但社会情感的共识，却在这个前夜里被撕扯得越来越远。未来的剧本，一部分人在用代码撰写，另一部分人，却连读剧本的资格都在被质疑。这场毕业典礼上的交锋，不是开始，而是未来无数次冲突的一次预演。当AI的列车呼啸而来，有人在头等舱规划星际旅行，有人却还在铁轨旁绝望地计算着自己还能站立几秒。嘘声，只是火车鸣笛声中，一声微弱但真实的回响。