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Guidance Offered by Aravind Srinivas, Perplexity CEO, for Students and Youth in the Age of AI

AI CEO Aravind Srinivas encourages youth to cut back on social media consumption and instead delve into the realm of Artificial Intelligence learning.

Guidance from Aravind Srinivas, CEO of Perplexity, for Students and Young Aspiring Individuals in...
Guidance from Aravind Srinivas, CEO of Perplexity, for Students and Young Aspiring Individuals in the AI Age

Guidance Offered by Aravind Srinivas, Perplexity CEO, for Students and Youth in the Age of AI

In the rapidly evolving landscape of technology, the integration of Artificial Intelligence (AI) is reshaping employment across numerous industries. According to Aravind Srinivas, CEO of Perplexity, the future workforce will be defined by those who master the use of AI.

Srinivas emphasises the need for continuous reskilling due to the rapid evolution of AI tools. He believes that AI will augment roles, not replace them, as demonstrated by tools like Perplexity's Comet, which streamlines tasks such as recruitment. Comet can proactively manage tasks without direct instructions, and can simplify a week's worth of recruiter work into a single prompt.

The growth in AI-related jobs is explosive, with AI job postings surging dramatically in recent years. AI-specific roles like AI Engineer, Prompt Engineer, and AI Content Creator are among the fastest expanding, reflecting an AI-native workforce that combines technical fluency with creativity and communication skills.

AI hiring is no longer limited to tech hubs or specialized data science roles; industries like design, engineering, marketing, and operations all require AI fluency. While AI automates certain tasks, human judgment, empathy, imagination, and leadership are gaining importance as companies leverage AI to augment rather than replace workers.

After an early 2025 hiring surge, many companies slowed AI recruitment to focus on integration, training, and organizational alignment—signaling a maturation of AI adoption rather than a decline in interest. Even as traditional tech roles declined slightly, AI and automation roles doubled, demonstrating strong demand despite broader economic uncertainty.

The future implications for employment are significant. Significant AI-driven job displacement is expected, especially in entry-level white-collar positions, which could be cut by up to 50% within five years. However, new roles focused on managing, designing, and collaborating with AI systems are emerging. Over 40% of workers will need new skills by 2030 to stay employable. Companies are anticipated to invest heavily in continuous learning and training programs to help employees adapt, emphasising alignment between humans and AI rather than outright replacement.

In conclusion, AI is reshaping employment by creating new roles and skill demands while accelerating the need for continuous learning and reskilling to enable workforce adaptation and resilience. The future workforce will likely blend technical AI expertise with strong human-centered skills such as design, judgment, and collaboration. As AI tools evolve every three to six months, it is crucial for individuals to prioritise learning AI tools over social media, as advised by Srinivas, to remain competitive in the future workforce. Anthropic CEO Dario Amodei shares a similar perspective, predicting a 50% elimination of entry-level white-collar jobs within five years due to AI. However, Srinivas encourages proactive engagement with AI, treating it as an enabling tool, prioritising continuous learning, and considering building new solutions rather than just optimising old ones. By doing so, he believes, individuals can leverage AI to create new opportunities and thrive in the future workforce.

Technology and artificial-intelligence are pivotal in education-and-self-development and career-development as they reshape employment across various industries, with AI job postings surging significantly. To remain competitive in the future workforce, individuals must prioritize learning AI tools, as emphasized by Srinivas, while also sharpening human-centered skills like design, judgment, and collaboration to complement their AI expertise.

AI is projected to augment, not replace, roles, with new positions focusing on managing, designing, and collaborating with AI systems emerging. Thus, continuous learning and reskilling will be essential for over 40% of workers to acquire the necessary new skills by 2030 to stay employable in this AI-native workforce.

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