If you’re giving a commencement speech in 2026, maybe don’t

Graduating class of 2026, ditch the AI hype – and your speech.

Universities across the US are scrambling to revise commencement speeches slated for June 2026, prompted by a growing realization that overwhelmingly optimistic portrayals of artificial intelligence are failing to resonate with graduating students. Several prominent universities, including Stanford and MIT, have issued internal memos urging speakers to temper their enthusiasm and focus on more nuanced discussions about technology’s impact, rather than solely celebrating its potential. This shift follows a year of significant AI-related setbacks, including the widespread exposure of flawed models, concerns over bias, and a noticeable decline in public excitement surrounding the technology’s rapid advancement.

What This Actually Means

The push for revised messaging comes from a confluence of factors. For months, researchers have been highlighting the limitations of current generative AI models – their tendency to hallucinate, their dependence on massive datasets that can perpetuate societal biases, and the increasing difficulty of controlling their output. Furthermore, the summer of 2024 saw a dramatic drop in investment in AI startups, with venture capital firms pulling back funding after a period of excessive exuberance. This has left many graduates feeling disillusioned and skeptical about the utopian visions often presented regarding AI’s transformative power.

Specifically, universities are requesting speakers shift their focus from broad pronouncements about AI solving global challenges to concrete explorations of ethical considerations, workforce adaptation, and the responsible development of technology. Instead of envisioning AI as a universal problem-solver, speeches will now emphasize critical thinking skills, data literacy, and the importance of human oversight. Several universities are also incorporating discussions about AI regulation and intellectual property rights into their graduation ceremonies, anticipating a growing need for these topics among the next generation of leaders.

These changes will have significant ramifications for users, developers, and businesses alike. User expectations regarding AI’s capabilities will likely moderate, demanding more realistic and transparent applications. Developers will need to prioritize building AI systems that are explainable, accountable, and aligned with human values, rather than simply pursuing technological advancement for its own sake. Businesses, particularly those heavily invested in AI, will face increased scrutiny and pressure to demonstrate tangible benefits alongside their technological investments.

Why This Changes Everything

This trend fits squarely within a broader macro trend: a recalibration of public perception surrounding disruptive technologies. Throughout history, periods of intense excitement surrounding new innovations – from the internet to smartphones – have invariably been followed by periods of disillusionment as the initial hype fades and the realities of implementation become apparent. The AI boom of 2023-2024 represents another chapter in this cycle, and universities are proactively attempting to steer the conversation toward a more grounded and sustainable approach.

Ultimately, this shift signals a crucial turning point in the conversation surrounding artificial intelligence. It suggests a move away from uncritical enthusiasm toward a more pragmatic and ethically informed approach, recognizing that technology's true value lies not in its potential to fundamentally reshape society, but in its capacity to augment human capabilities when developed and deployed responsibly.