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Why is Everyone in Tech so sad?

Knowledge workers across seniority are expressing existential doubt about the purpose of their work, turning to analog hobbies and questioning career meaning amid AI-driven disruption.

WHY IT MATTERS

This shift can erode motivation, productivity, and retention in engineering teams, making it harder to sustain innovation. Recognizing the underlying angst allows leaders to redesign work environments that restore a sense of purpose and reduce talent loss. Ignoring the trend risks declining morale and weaker organizational resilience.

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The three things worth knowing

01

Knowledge workers describe their work as pointless and seek fulfillment in analog hobbies such as knitting, pottery, or painting.

02

Existential doubt is spreading even among highly paid executives and senior professionals who are usually insulated from economic shocks.

03

The feeling coincides with widespread AI adoption, which intensifies questions about the future value and relevance of knowledge work.

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ORIGINAL ANALYSIS

Many knowledge workers are reporting a growing sense that their daily tasks lack meaning, describing work as pointless and expressing a desire to engage in hands-on, analog activities. This shift is evident in conversations where individuals talk about picking up hobbies like knitting or painting as a way to feel productive and proud. The sentiment is not isolated; it appears repeatedly across different professional circles.

What distinguishes this wave of discontent is that it reaches beyond junior or mid-level staff to include senior executives and seasoned professionals who have historically felt secure against economic fluctuations. These individuals, despite their institutional knowledge and high compensation, are voicing uncertainty about the long-term relevance of their careers. The angst therefore reflects a deeper, existential concern rather than a reaction to short-term market pressures.

The backdrop of rapid AI integration amplifies these doubts, as workers witness automation threatening to reshape or eliminate many knowledge-based roles. While AI promises efficiency gains, it also forces a confrontation with the question of what human contribution remains valuable when machines can perform analytical tasks. This tension fuels the perception that traditional knowledge work may be losing its intrinsic worth.

For engineers and engineering managers, the practical consequence is a potential decline in engagement, which can manifest as lower code quality, slower adoption of new tools, and higher turnover. Addressing the issue may involve redesigning roles to include tangible outcomes, clearer impact metrics, or opportunities for creative, non-digital work that rekindles a sense of purpose. Failing to respond could weaken team cohesion and reduce the organization’s ability to innovate over time.

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