AI Got Booed at Graduation. Here's the Real Signal.
AI got booed at graduation ceremonies while OpenAI kept winning in court. For a Sri Lankan builder, that gap between sentiment and momentum is the real lesson.

When AI got booed at graduation this season, the loudest moment came from the University of Arizona, where former Google CEO Eric Schmidt told the class of 2026 that their job was to help shape AI and got a chorus of boos in return. His reply, per the source: "I can hear you."
That image stuck with me. So I dug into what it actually means for someone graduating in Colombo, freelancing from Galle, or building a side project on a free tier. The short version: the booing is real, but it is not the signal you should be trading on.
This is my commentary on MIT Technology Review's AI Hype Index (Caiwei Chen, 28 May 2026). The facts are theirs. The argument is mine.
π The boos were not isolated
According to the source, Schmidt was not the only one. Graduates booed AI talking points at University of Central Florida and Middle Tennessee State University commencements too. Schmidt himself conceded that fears about job loss and societal breakdown were "rational." Actor Reese Witherspoon went the other direction, warning women to "embrace it or be replaced by it."
So in one news cycle you have a former Big Tech CEO admitting the fear is rational, a celebrity telling people to adapt or die, and graduating students booing the whole conversation.
Key takeaway: Public sentiment about AI has split into three camps β fear, evangelism, and fatigue β and none of them tell you what to actually do on Monday morning.
The boos are an emotional reading, not a market reading. For a student about to enter the job market, emotion is the worst thing to base a career decision on.
π° What the money was doing while people booed
Here is the part the source quietly points to that I think matters most. While crowds booed, OpenAI kept winning court cases, locking in funding, and signing new partnerships. Stanford's 2026 AI Index, per the article, summed it up as "AI is sprinting, and we're struggling to keep up."
Put the two signals side by side:
| Signal | What it says | What it predicts |
|---|---|---|
| Graduates booing | People are tired of being told AI is their future | Public mood, short-term |
| OpenAI winning in court + funding | Capital and legal ground are consolidating | Where the jobs and tools go, long-term |
| Stanford AI Index | Capability is outrunning adoption | The gap you can get paid to close |
Sentiment and capital are moving in opposite directions. When that happens, capital usually wins the next five years. You do not have to like that. You do have to plan around it.
π οΈ Why this is good news if you build from Sri Lanka
A lot of the AI panic assumes you are competing for a salaried seat at a company that might replace you. That is one scenario. It is not the only one, and it is not the most relevant one for a lot of readers here.
If you build or freelance, the same wave that scares a salaried graduate is cheap leverage for you:
- Free and near-free tooling. The frontier models have generous free tiers, and the open-weight models run on hardware you can rent by the hour. You are not priced out.
- The gap is the work. Stanford says adoption lags capability. Closing that gap β wiring AI into a real business workflow β is billable work that did not exist two years ago.
- Distribution is local. A Colombo SME that needs a chatbot in Sinhala and English is not going to hire OpenAI. It is going to hire someone nearby who understands both the tool and the context.
If you take USD work, the currency math matters as much as the AI skill. I built a freelancer USD-LKR earnings calculator for exactly this β it compares Wise, Payoneer, and Skrill fees so you know what an AI-assisted gig actually nets you in rupees.
Bottom line: the booing crowd sees a threat to employment. A builder sees a tool that got cheaper and a market that got confused. Both are looking at the same news.
π‘ How to read AI news without getting whiplashed
The AI Hype Index exists because the news swings hard in both directions, sometimes in the same week. Here is the filter I use so I do not get jerked around by it:
- Separate sentiment from capability. A boo is sentiment. A court ruling is capability. Weight them differently.
- Follow the money, not the mood. Funding rounds and partnerships tell you where tools and jobs will exist. Applause does not.
- Ask "what can I ship this week?" If a headline does not change what you build, it is entertainment, not information.
- Treat celebrity takes as noise. "Embrace it or be replaced" is a slogan, not a strategy.
A useful test: if reading an AI headline makes you feel something strong but does not change a single line of code or a single client conversation, you have consumed hype, not signal.
π What this means for you
The class of 2026 booing AI is a fair human reaction to being told, repeatedly, that the thing they just spent years training for is about to be automated. I do not blame them. But a boo is a feeling, and feelings are not a plan.
The plan, if you are reading this from Sri Lanka, is boring and effective:
- Learn one frontier model and one open-weight model well enough to ship with them.
- Find a real local workflow that AI makes 10x faster and charge to build it.
- Keep your currency and tax math tight so the dollars you earn survive the trip into rupees.
The crowd booed the future. You do not have to. You just have to be the person who shows up Monday and quietly closes the gap between what AI can do and what your clients are actually using. That gap is where the money is, and right now almost nobody is standing in it.
Original source
The AI Hype Index: AI gets booed in graduation season