Korva is a scroll of the internet’s best ideas.

The survey result

The same survey found them the most worried, the least optimistic, and the least likely to recommend their role to people entering the workforce. Across tech as a whole the split is about even: roughly half of people are having the best time of their career, and the strongest link among them is feeling amplified by AI.

Why designers struggle

For designers, the trouble starts with unclear expectations. Questions circle around whether the role is changing, and whether a designer now needs to ship code every day. Someone classically trained in one way of working can feel that everything has to change at once, and that lack of clarity breeds unease.

Where it works

Where the design team treats the work as exploration, with no demand to change how anyone works, senior and early-career designers alike are excited. They can express themselves, try bad ideas, and throw them out, and the thinking gets stronger the more they use the tools.

Why would unclear roles breed anxiety?

Role ambiguity is a long-studied workplace stressor. Robert Kahn and colleagues at the University of Michigan described it in their 1964 book Organizational Stress, covering people who lack clear information about what is expected of them. Rizzo, House, and Lirtzman published a widely used scale for measuring role ambiguity in 1970. Studies since then have linked it to lower job satisfaction and higher tension.

Why does feeling amplified matter so much?

Psychologist Albert Bandura introduced the idea of self-efficacy in a 1977 paper, meaning a person's belief that they can carry out a task. A tool that widens what someone can accomplish gives them more successes to point to. Bandura proposed that personal mastery experiences are the strongest source of self-efficacy. That belief in turn shapes how long people persist when work gets hard.

More from Lenny's Podcast: Product | Growth | Career

Tech & AIDesign can't be sped up like codeCoding agents gave engineers ten times, sometimes a hundred times, the output, but design still runs on trying things that fail.
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