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Former Meta executives' career advice for the AI era: Ten-year career planning is outdated; just focus on these two things
Meta's former Chief Operating Officer Sandberg bluntly stated at Brandeis University's graduation ceremony: The ten-year career plan in the AI era is outdated; graduates only need to focus on short-term directions and maintain long-term ideals. Opportunities are hidden in unexpected turns.
(Previous context: Meta employees proposed that if they could fully automate their work with AI, the company should provide five years of salary compensation before layoffs)
(Additional background: AI stock guru Serenity: The AI bubble will not burst this year! Tech giants' capital expenditure will surge until 2028)
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Recently, Meta's former Chief Operating Officer Sandberg shared an intuitive judgment at Brandeis University: In 2026, as AI rapidly reshapes the job market, the "ten-year career plan" no longer makes sense.
She advised graduates to focus on two things: first, identify short-term directions and set clear goals for immediate efforts; second, maintain long-term ideals and think carefully about the kind of life they want to live. She emphasized that "there's no need to connect the two," because the future is full of uncertainties, and opportunities often hide in unexpected turns.
Career paths in the AI era
Sandberg pointed out that, under the impact of AI technology, the half-life of popular jobs in the current job market is shortening. Professional barriers that once took 5 to 10 years to establish may now be redefined in just a few years. She believes that deliberately planning one's career trajectory might cause people to miss unexpected opportunities.
This is not simply about "going with the flow," but based on observations of the AI-driven employment ecosystem: Generative AI is changing the nature of white-collar work, from content creation to programming, from data analysis to strategic planning. The assumptions of traditional career paths are no longer valid.
Every generation thinks they face the hardest challenges
Sandberg also reminded that employment difficulties are never unique to 2026. She said, "Every year, someone says that year is the hardest employment season. This kind of statement has existed almost as long as 'graduation' itself." She believes each generation eventually finds its own way and overcomes difficulties.
Behind this statement lies a deeper meaning: rather than worrying about "AI replacing jobs," it’s better to focus on "how AI is changing the composition of work." Every technological revolution in history has eliminated old jobs while creating new ones—only the pace of transformation is faster than before.
Taiwan youth strategies?
In the context of Taiwan, this advice is particularly meaningful. Among Taiwan's workforce aged 10 and above, AI-related job openings grew by 47% in 2025, but the digital transformation speed of traditional industries lags far behind that of the tech sector. Sandberg's "short-term focus + long-term ideals" framework can be translated into "learn AI tools in the short term, cultivate cross-disciplinary judgment in the long term"—which is the most practical career strategy for young people in Taiwan in the AI era.
When top executives like Meta's CEO admit that a "ten-year plan" is no longer reliable, the lesson for all generations of workers is consistent: maintaining flexibility is more important than making detailed plans.