For years, the tech world adhered to a fixed belief that only STEM students could work in the tech industry. Coding, mathematics, and engineering were considered the sole entry points into top tech companies. However, this notion is now beginning to dissolve.
AI Companies Embrace Humanities Graduates
Major companies like Google DeepMind and Anthropic are now hiring art and humanities students for key roles in AI development. AI firms are realizing that building powerful systems is insufficient; these systems also need to be safe, fair, and aligned with human values. Consequently, roles such as philosophers, ethicists, and social scientists are becoming integral to AI teams. These are not traditional tech jobs, but they are gradually becoming central to how AI is designed, trained, and controlled.
Google DeepMind's In-House Philosopher
In April 2026, Google DeepMind made headlines by hiring Cambridge University cognitive scientist and philosopher Henry Shevlin as an in-house philosopher. This rare role in the tech industry signals a clear shift in how AI companies are thinking. Shevlin will address complex questions such as whether AI can have awareness or experience, how humans and AI should interact in the future, and how society should prepare for highly advanced AI systems. He will also help ensure that AI systems remain aligned with human interests and values while continuing his academic research at Cambridge University.
Anthropic Focuses on AI Ethics
Anthropic has gone further by building a strong ethics-focused AI team. The company has hired philosophers like Peter Railton to help train its AI assistant Claude to respond responsibly and safely. For example, Anthropic has hired philosopher Amanda Askell to shape the values reflected in its AI models, and moral philosopher Peter Railton to support ethics training for its systems.
Anthropic Co-Founder Says Humanities More Important Than Ever
Anthropic co-founder Daniela Amodei stated in February that humanities education is becoming more important in the AI era, not less. According to her, companies now actively seek skills such as empathy, communication, curiosity, and human understanding. "I continue to believe that humans plus AI together actually create more meaningful work, more challenging work, more interesting work, high-productivity jobs. And then I think it will also open the aperture to a lot of access and opportunity for many people," Amodei added, as quoted by Fortune.
Real-World AI Ethics Battle Underway
The global AI-versus-ethics debate is already playing out in real-world cases that force companies to choose between performance and responsibility. In the United States, Amazon scrapped an AI recruiting tool after it learned to discriminate against women by downgrading resumes containing the word "women's" (e.g., "women's chess club"), proving that bias in training data can embed sexism into automated hiring. In the EU, the EU AI Act has classified emotion-recognition systems in workplaces and schools as high-risk or outright banned them, directly challenging companies like Affectiva that wanted to deploy AI that "reads" human feelings. Meanwhile, in the UK and US, lawsuits have surged against facial-recognition vendors like Clearview AI and police departments using predictive-policing algorithms, arguing they violate privacy and due process by disproportionately targeting minority communities.
As AI systems become more powerful, companies face deeper questions: Can AI think or feel? Should it be treated as more than just a tool? How can AI be kept safe and prevent harm to humans? These are no longer purely technical problems but ethical and philosophical ones as well.
Consequently, AI development is shifting away from being purely performance-driven and is becoming more focused on responsibility and human impact. This change is opening new opportunities for students who were previously not part of the tech pipeline. Art students, philosophy students, psychology students, sociology students, and communication students are now finding direct roles in AI companies. AI is no longer limited to coding careers; it is becoming a field where understanding people is just as important as understanding machines.
