What you need to know
- A new study suggests 80% of software developers will need to upskill to keep up with AI advances in their field.
- Gartner claims AI won't steal jobs from software engineers as "Human expertise and creativity will always be essential to delivering complex, innovative software."
- Next-gen AI tools like OpenAI's GPT-4o and OpenAI-o1 benchmarks show that the technology is advancing rapidly and redefining the whole concept, as they can write and detect errors in code in seconds.
What does the future of coding look like as a plausible career option for the next generation with the prevalence of generative AI? "If you go forward 24 months from now, or some amount of time — I can't exactly predict where it is — it's possible that most developers are not coding," indicated Amazon Web Services CEO Matt Garman.
Interestingly, NVIDIA CEO Jensen Huang shares the same sentiments, indicating coding might be dead in the water with the prevalence of AI. Instead, he recommends seeking alternative career paths in biology, education, manufacturing, or farming.
As you might already know, AI models are progressively getting better at handling sophisticated tasks like generating complex structural designs and writing and detecting errors in code. OpenAI's GPT-4o and OpenAI-o1 ship with top-of-the-line coding capabilities. According to benchmarks shared by the ChatGPT maker, the latter passed OpenAI's research engineer hiring interview for coding at a 90-100% rate.
Is AI a fad, or is the world on the verge of the biggest technological breakthrough with its widespread adoption? While these aspects remain debatable, a new study by Gartner shares more insight into the future of software engineering with the prevalence of AI (via ITPro).
According to the study, 80% of software engineers will reportedly need to upskill by 2027 as a blatant attempt to keep up with the rapid advances in the AI landscape. The study further breaks down the necessity for professionals into three categories: short, medium, and long-term.
Looking at the scenario from a short-term perspective, AI tools will help boost software developer productivity by automating mundane and repetitive tasks. The process has already begun, and senior developers will reportedly be the first beneficiaries.
The next phase will predictably feature AI agents that fully automate specific software engineering tasks. The revolution will take place at this point, inevitably leading to the emergence of AI-native software engineering. This shift means most of the written code will be AI-generated.
Finally, in the long run, more organizations will embrace AI coding, prompting a need for high-skilled developers to meet the demand for AI software. Natural language prompt engineering and retrieval augmented generation (RAG) will be among the highly sought-after skills when hiring software developers in the AI era.
According to Gartner's Senior Principal Analyst Philip Walsh:
"In the AI-native era, software engineers will adopt an 'AI-first' mindset, where they primarily focus on steering AI agents toward the most relevant context and constraints for a given task."
The institution recommends investing in AI developer platforms to future-proof organizations, ultimately allowing them to build AI capabilities. Walsh indicated that this call for upskilling in data engineering.
AI won't render software developers jobless, but there's a dire need for upskilling
Contrary to popular belief, AI won't take over coding, leaving software developers jobless. However, the technology will reshape coding by automating specific tasks, and as it becomes more powerful, developers will need to upskill their skills to keep up with it.
According to Walsh
"Human expertise and creativity will always be essential to delivering complex, innovative software."
Interestingly, the study's deductions directly align with Microsoft's latest Work Trend Index report, which indicated that contrary to popular belief, AI creates job opportunities. However, executives won't hire anyone without an AI aptitude, prompting "a 142x increase in LinkedIn members adding AI skills like Copilot and ChatGPT to their profiles."
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