The first truly native generation in artificial intelligence is entering the job market. Those who started college months before ChatGPT existed are graduating in 2026, having integrated AI not as an external tool, but as part of their way of thinking, researching, and problem-solving. For companies, this represents something that internal training programs can hardly replicate: a mindset built from the ground up with AI as a natural layer of work.
The CEO of SharkNinja put it bluntly: these graduates' AI skills surpass those of employees with 20 years of experience. Companies like Salesforce and IBM are already actively competing for this profile, recognizing that adaptability with AI tools has an operational value that is not accumulated through years of traditional work but through years of exposure to the right ecosystem from the beginning.
What differentiates this generation is not just the technical handling of language models or automation tools. It's a distinct attitude towards work: they are considerably less tolerant of the idea of spending years on repetitive tasks before delivering real value. This tension is new for organizations. Companies are redesigning roles due to AI at the same time that this new generation is redefining what they are willing to do within those roles.
The context also has its own side of pressure for the graduates themselves. AI is precisely cutting the entry-level jobs that historically served as a launching pad for professional careers. The same technology that gives them a competitive advantage is also eliminating the positions from which previous generations built their experience. The paradox is real: they are the most prepared for an AI-transformed job market, and at the same time, they are the ones facing the biggest disruptions at the entry point to that market.
From the perspective that next+ builds on talent, education, and the future of work, the arrival of this generation in the job market marks a turning point that organizations cannot ignore. It's not just about hiring profiles with AI skills: it's about rethinking what the learning curve means when a part of the workforce already arrives with that curve completed. For HR and leadership teams designing work structures today, the relevant question is no longer how to train their teams in AI, but how to create environments where AI-native talent can contribute value from day one without clashing with structures designed for a market that no longer exists.
In the Education section of next+, you can find resources, analyses, and programs aimed at those who seek to expand their capabilities in artificial intelligence, leadership, and the future of work, whether to prepare their teams or to develop the skills that this new job market is demanding.