Ask HN: Does anyone else feel like nothing matters anymore?
Rapid advances in AI and automation are leaving many software professionals feeling that their skills, careers, and side projects have been devalued, feeding burnout and a sense that “nothing matters anymore.” Commenters debate whether ubiquitous tools that can code and generate ideas have destroyed the joy and exclusivity of knowledge work, or simply shifted the frontier toward new kinds of problems, especially those involving the physical world and human systems. Across viewpoints, a recurring theme is the need to find meaning beyond external rewards—through intrinsic motivation, hobbies, community, or new roles—even as the economic and psychological impacts of AI-driven change remain unsettling and unresolved.
Existential Meaning & Motivation
- Many describe a sense that “nothing matters,” often tied to AI devaluing hard-won skills and achievements.
- Several frame this as “ego death” or a midlife/meaning crisis rather than purely a tech problem.
- Existentialist themes recur: life has no built‑in meaning; you must create your own, or accept absurdity and live intensely anyway.
- Others argue work was always a shaky source of meaning; family, community, religion, kindness, and simple enjoyment are more durable anchors.
AI, Software Craft, and “Slop”
- Strong sentiment that AI has commoditized coding and ideas: anyone can produce passable software, content, or “slop,” eroding pride and uniqueness.
- Some lament that AI and hype have crowded out deep discussions about languages, algorithms, and architecture; accomplishments feel devalued.
- Others are energized: AI accelerates learning, makes side projects feasible, and lets individuals build things previously out of reach.
- Multiple commenters stress that understanding, nuance, performance, UX, and high‑stakes operations still require humans; LLMs are nondeterministic and fragile at scale.
Careers, Labor Market, and Burnout
- Reports are mixed: some see recruiter outreach drying up and switch careers (e.g., into healthcare); others still get steady interest.
- People fear their decades of expertise are suddenly “wiped out,” echoing historical automation shocks (looms, industrial revolution).
- Many explicitly describe burnout, loss of joy in programming, and even physical revulsion toward screens and tech culture.
Coping Strategies and New Sources of Meaning
- Suggestions:
- Shift from extrinsic (money, prestige) to intrinsic (curiosity, enjoyment, contribution) motivations.
- Pursue hobbies and crafts: reading, woodworking, math, photography, nature, bug‑hunting, building tools for personal passions.
- Do things AI “can’t take”: physical work, community involvement, caring roles.
- Accept smaller, niche, high‑impact projects and “tradcode-only” personal work for satisfaction.
- Seek mental‑health support when feelings resemble severe depression.
Views on AI’s Trajectory
- Some see an AI bubble: overuse of LLMs where simple tools suffice, failed “vibe‑coded” projects, infrastructure bottlenecks, little visible real‑world improvement yet.
- Others are long‑term optimistic: AI plus new hardware may unlock advances in science, medicine, materials, and climate solutions.
- Concerns persist about spam, enshittification, surveillance, inequality, and AI serving elites more than the public.