"People who cannot write code are building software. People who have never designed a data system are designing data systems. Most of it is not shipped; it is built, often for many hours, possibly shown internally with great vigor, used quietly, and occasionally surfaced to a client without much fanfare. Workers can obsess over an idea, working many hours overtime."
Parkinson’s Law describes work growing to occupy the time available. With AI, workers can generate large amounts of text or artifacts that expand to match what a language model can be prompted to produce. In professional settings, people may use AI to respond in ways that appear confident and technically fluent while lacking true understanding. Generative AI creates two main failure modes: novices producing work that resembles seniors’ output faster than their judgment, and people generating artifacts in disciplines they were never trained in. The second failure mode is riskier because it involves missing foundational knowledge. Cross-domain generation enables non-coders to build software and non-designers to design data systems, often through extensive internal work that may rarely be shipped or properly validated.
#generative-ai #workload-and-productivity #expertise-vs-output #cross-domain-engineering #risk-and-failure-modes
Read at No One's Happy
Unable to calculate read time
Collection
[
|
...
]