Anger, Anxiety and Agency
lucumr.pocoo.org
August 24, 2026
5 min read
48/100
Summary
Armin Ronacher argues that anxiety, uncertainty, curiosity and excitement are more useful responses to AI-driven change in technology than anger. He agrees with Sean Goedecke’s view that anger at work rarely improves a situation, particularly when colleagues and managers may have little control over the source of frustration. Ronacher says employees who oppose a company’s shared direction but lack the power to change it should not attempt even a small-scale mutiny. Ronacher describes AI and agents as sources of reasonable anxiety because they create uncertainty about future professions, the value of long-developed skills and the working world facing younger generations. He says anger requires a target and can turn a loss of control into a narrative with a villain, even though engineering managers and leaders may be uncertain themselves. Some leaders publicly project confidence while privately making uncertain bets to sustain their businesses. He says AI’s gains are not solely appearing as company productivity or profits; they are also enabling people to ship more side projects outside working hours. Ronacher remains excited by the technology while unsure how programming and company ownership will change. He warns that AI’s effects on society, climate, global power balances, Europe’s ambition and dependence on other countries require attention. He urges people to experiment and learn before deciding whether resistance is warranted and where it should be directed.
Key Takeaways
- Armin Ronacher argues that AI-related uncertainty can foster curiosity and experimentation more productively than anger.
- Ronacher says AI is creating anxiety about the future of technical work, the durability of existing skills and who will benefit from productivity gains.
- He says leaders and managers may be as uncertain about AI-driven disruption as employees, despite projecting confidence in public.
- Ronacher says AI is helping people ship more side projects outside company time, not only producing gains reflected in corporate profits.
- He warns that AI’s broader effects on society, climate, Europe’s strategic position and global dependence should not be ignored.
What the discussion said
The thread used the article’s emotional vocabulary as a proxy for a much harder argument: whether AI is a liberating tool, an economic threat, or both at once. A smaller but energetic group described LLMs as a genuine leap in personal leverage. They can offload tedious digital work, navigate opaque codebases, accelerate side projects, and let developers investigate ideas that previously died for lack of time. One commenter stressed that agents still depend on human judgment, framing the technology as labor-liberating rather than labor-eliminating. That optimism was overwhelmed by fear about who captures the gains. Several readers see AI as threatening the one marketable skill that has provided stability, while employers measure workers by token counts and delivery metrics, reduce hiring, and treat generated output as expertise. They also tied present-day deployment to spam, surveillance, environmental costs, and concentration of wealth and power, not merely hypothetical future risks. For them, anger is not confusion that needs calming; it is a boundary-setting response to identifiable actors making consequential choices. The emotional premise itself drew pushback. Some accepted that uncertainty can foster curiosity and agency, while others argued people cannot simply choose it over anger, and that anger may be valid even without a neat target. Even enthusiastic users reported a punishing sense of urgency: AI makes work faster while making it feel dangerous to ever stop keeping up.
Where opinion split
The sharpest fight is over whether AI-related anger should be redirected into uncertainty and curiosity. Defenders of that move say uncertainty admits incomplete knowledge and prevents people from lashing out at managers or peers who lack control. Critics say the harms already have authors—firms and elites deploying AI for surveillance, labor pressure, and private gain—so treating anger as a mismanaged feeling turns emotional regulation into political placation.
Community Sentiment
Positives
- LLMs are giving some developers startling leverage: tedious digital chores, unfamiliar enterprise code, and neglected side projects can be pushed forward for roughly a consumer subscription price.
- Several readers see human-in-the-loop agents as labor-liberating rather than autonomous replacements, because useful AI output still needs people to direct, verify, and apply it.
- AI-assisted speed lets enthusiastic practitioners explore small technical ideas that time pressure previously forced them to abandon, making day-to-day work feel newly expansive.
Concerns
- For workers whose economic security rests on software skills, AI feels less like a tool upgrade than a direct threat to the craft that has kept them housed and stable.
- Commenters argue that current deployments already produce surveillance, spam, and low-quality generated material while concentrating power and wealth among a small set of firms.
- AI productivity pressure is wrecking sleep and peace of mind for some developers, who feel compelled to chase every new capability or become professionally obsolete.
- Skeptics see vast data-center spending as a costly bet on systems that generate bloated, unreliable code and force experienced engineers into cleaning up machine-made slop.
