Anger, Anxiety and Agency
Rapid advances in AI are amplifying both excitement and dread among software engineers: some feel supercharged by tools that remove “electronic drudgery,” while others see their core skills, career stability, and professional identity under direct threat. A blog post urging people to replace anger with curiosity toward AI’s changes is sharply contested, with many arguing that anger at hyper-capitalist deployment of AI, worsening work conditions, and environmental costs is a rational and socially useful response, not something to be pathologized. Across the exchange, themes of anxiety, agency, class power, and emotional regulation at work recur, alongside skepticism that current AI deployments primarily benefit workers rather than corporate owners.
Mixed reactions to AI: excitement vs fear
- Some are thrilled: LLMs remove “electronic drudgery,” speed up coding and experimentation, and unlock long-delayed side projects.
- Others experience intense anxiety or outright fear: they see their only strong skill (software) being automated and feel their place in society becoming precarious.
- Several commenters say if AI were just a hobby tool, it’d be amazing; as a core of their livelihood, it’s terrifying.
Jobs, class, and power
- Many worry productivity gains will accrue to companies and “hyper‑capitalists,” not workers; anger is framed as a rational response to worsening precarity.
- Proposals include unions, worker‑owned tech co‑ops, and organizing before AI becomes even more entrenched.
- Some see AI as labor‑liberating “cybernetic enhancement” that still requires humans in the loop; others argue real goal is fewer workers and more control for owners.
Anger vs anxiety, uncertainty, and emotional regulation
- One line of discussion defends anger as a healthy, even necessary, response to injustice and a social signal that boundaries have been crossed.
- Another line argues anger is often a derived, narrative‑driven reaction (frequently from fear), usually unproductive at work and easily misdirected at people without power.
- There is disagreement over whether you can “choose” uncertainty over anger, and whether suppressing anger is genuine emotional regulation or a tool of control.
- Frameworks mentioned: distinguishing anger from anxiety, “duration/path/outcome” thinking, and communication approaches that name emotions, facts, and needs.
Quality, usefulness, and harms of LLMs
- Supporters: LLM prose is at least as good as typical human writing, and coding assistance is a massive productivity boost for competent developers.
- Critics: outputs are stylistically uncanny, often verbose and technically wrong; they pollute codebases and public discourse with “slop.”
- Some see AI as currently negative‑sum: huge energy and capital spend, environmental costs, and societal harms (surveillance, spam, militarization) outweigh benefits.
Workplace dynamics and coping
- Anger often arises from concrete workplace issues: forced AI use, bad metrics, junior staff lauded for AI‑generated work they don’t understand, and dilution of craftsmanship.
- Others focus on personal coping: reframing work around intrinsic goals, accepting uncertainty, networking into adjacent fields, and preparing for possible career shifts.