Is bioinformatics still worth pursuing as a career given how much AI is changing the field and reducing the barrier to generating code?

Bioinformatics and computational biology remain a frontier field, and AI tools that generate code have not made deep domain expertise less valuable, they have made shallow expertise less competitive. The distinction is important. Anyone can now prompt an AI tool to generate a bioinformatics script and get a usable output. But interpreting whether that output is biologically meaningful, understanding the nuances of the data being analysed, knowing when a result is an artefact versus a genuine signal, and designing the right analytical approach for a specific research question, these require the kind of deep, studied understanding that a trained bioinformatician has and a code-generating tool does not.

• The genuine risk in bioinformatics is becoming someone who uses tools without understanding the underlying biology and statistics, because AI can already do that layer of the work.
• The value is in the scientific judgment layered on top of the tools.
• Students entering bioinformatics now who invest in understanding the biology deeply, alongside the computational methods, will be more competitive in five years than those who learned the tools without the scientific foundation.