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AMD CEO Lisa Su's Message to Graduates: Focus on Purpose, Judgment, and Problem-Solving in AI Era
Tecnología
Times of India01.06.2026Tecnología3 dk okumaIndia

AMD CEO Lisa Su's Message to Graduates: Focus on Purpose, Judgment, and Problem-Solving in AI Era

En resumen

  • AMD CEO Lisa Su urged graduates to prioritize purpose, judgment, and problem-solving over just AI tool operation.
  • She emphasized that human decision-making is crucial for directing AI's application and taking responsibility for outcomes, a sentiment echoed by other tech leaders.

Resumen generado por IA

Por qué importa

AMD CEO Lisa Su spoke at MIT's commencement ceremony, advising graduates on navigating an AI-driven job market. She stressed the importance of human judgment, purpose, and problem-solving skills over mere technical AI tool operation.

Tamaño de fuente

AMD CEO Lisa Su has a career message for graduates entering an artificial intelligence (AI)-driven job market. The chief executive of the US-based chip company has asked graduates to focus on purpose, judgment and problem-solving rather than simply learning how to use artificial intelligence tools.

Speaking at MIT's commencement ceremony for the Class of 2026, Su said employers and society need people who can decide how AI should be applied, not just individuals who know how to operate the technology. According to a report by Fortune, Su told graduates: “The world does not just need people who know how to use powerful tools, it needs people who know what to use them for, people with a sense of purpose, judgment, courage. People who look at a hard problem and say ‘I know this is really, really important, and we can figure this out’” are the next change-makers.

Her comments come as AI skills become increasingly common requirements in job postings and companies adopt generative AI tools across departments.

AMD CEO Lisa Su says AI cannot replace human judgment

During her address, Su described AI as a technology that could accelerate progress across industries, including healthcare, science, energy, and climate research. However, she argued that AI alone cannot determine which challenges deserve attention or take responsibility for decisions and outcomes.

“Now, the way to think about [AI] is it makes each of us more capable, whether you’re talking about medicine, science, energy, [or] climate. But let me be clear about something: Technology itself does not decide what the future looks like, the best people do. For everything that AI can do, AI can’t decide which problems are worth solving. It can’t make the hard judgments when the data is not there. It can’t take responsibility for the outcomes. These are actually our responsibilities, and they matter now more than ever,” Su explained.

Su, who earned degrees from MIT before building a career in the semiconductor industry, said the AI era differs from previous technological shifts because of its potential to accelerate discovery across multiple fields simultaneously. Her views echo those of other technology executives who have argued that human judgment and creativity will remain important as AI capabilities advance. Nvidia CEO Jensen Huang has said professionals need to combine technical knowledge with human skills such as judgment and creativity. Meanwhile, OpenAI CEO Sam Altman has highlighted the importance of "taste" and human decision-making in an AI-driven workplace.

The message comes as AI-related skills become increasingly sought after by employers. According to data from labour market analytics firm Lightcast, more than 66,000 job postings in 2024 specifically mentioned generative AI skills, up from around 16,000 the previous year. Job listings referencing large language models grew from 5,000 to 20,000 over the same period, while postings mentioning prompt engineering increased from 1,400 to nearly 6,300.

Preguntas abiertas

  • How will educational institutions adapt their curricula to emphasize these human-centric skills?
  • What specific strategies can graduates employ to demonstrate purpose and judgment to potential employers?
  • What are the long-term implications for the job market if the focus shifts heavily towards human oversight of AI?
  • How will companies measure and value 'purpose' and 'judgment' in their hiring processes?

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This article was originally published by Times of India.

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