The revenge of the philosophy majors
AI labs such as DeepMind and Anthropic are beginning to hire small numbers of philosophers to work on ethics, consciousness, and the conceptual foundations of artificial intelligence, prompting renewed interest in whether philosophy degrees have practical value. Commenters argue over how meaningful this trend really is—some see it as validation of philosophy’s training in logic, language, and critical thinking, while others note the tiny number of roles and suggest it mostly serves PR or “ethics washing” for powerful tech companies. The conversation broadens into a critique of academic philosophy, the analytic vs. continental split, and whether philosophy should be seen as job training, a way of thinking, or a largely self-referential intellectual game.
Accessing the Article / Meta
- Many comments address the NYT paywall; users share archive links.
- Several note the piece is “high on vibes, low on metrics,” criticizing its framing and lack of hard numbers.
Scale of “Revenge” / Job Market Reality
- The headline claim that demand for philosophers in AI “outstrips supply” is widely doubted.
- Cited numbers (e.g., “at least a half‑dozen” philosophers at a few labs) suggest only dozens of such roles worldwide.
- Compared with thousands of engineers and PMs, commenters see this as marginal, more “nearly a dozen” than a true boom.
- Some argue the narrative may be PR, signaling that labs are serious about ethics or consciousness.
Value of Philosophy Training
- Many report philosophy—especially analytic philosophy and logic—as excellent preparation for:
- Clear thinking, argumentation, and writing.
- Software engineering, law, consulting, and CS research.
- Several with philosophy majors now work as senior engineers or in tech leadership, crediting formal logic and close reading.
- Others claim philosophy can become a self‑referential game or training in rhetoric that dazzles rather than clarifies.
Analytic vs Continental and Difficulty
- Long subthreads contrast analytic philosophy (clarity, logic) with continental (dense, poetic, historically loaded).
- Some find continental texts (e.g., German idealism, phenomenology) nearly impenetrable; others insist difficulty reflects translation, historical context, and intended style.
- Debate over whether philosophy is “harder” than math/CS; some see its lack of firm correctness criteria as making it harder, others see that as a weakness.
Philosophy’s Role in AI
- Supportive views:
- Ethics, philosophy of mind, epistemology, and philosophy of language seen as directly relevant to AI alignment, prompting, and governance.
- Examples include applying speech‑act theory to prompt design and using philosophical tools to clarify requirements and concepts.
- Skeptical views:
- Some think these hires mainly launder reputations or justify expansion, with critical voices likely to be ignored.
- Others argue AI is still mostly linear algebra and doesn’t need philosophers beyond optics.
Broader Education & Society Themes
- Recurring debate over universities as job‑training vs. places to seek truth and knowledge.
- Several argue more people should study philosophy or epistemology early, to reason better about belief, bias, and public discourse.
- Others emphasize that actual job prospects for typical philosophy majors remain limited, despite a few high‑profile AI roles.