Is AI a Coder鈥檚 Friend or Foe?
The rise of artificial intelligence has shifted the future of computer science jobs, as AI has reduced the need for human coders. However, coders who learn to "shake hands" with AI can have a bright future.
The United States Bureau of Labor Statistics acknowledges that routine programming work continues to be automated with AI tools and anticipates a drop in employment over the next decade. However, the bureau also notes highly skilled programmers, such as , still will remain in high demand.
Hands on the Wheel
reports that AI most likely will increase the volume of code that is written, but that does not guarantee an increase in quality of code. Often it will write spaghetti code, or code that is unstructured and difficult to read because of a lack of defined flow or structure.
Human oversight, from human coders, will be necessary as AI is asked to generate large volumes of code. AI and coding careers are shifting, but skilled programmers will find a fit in the future of computer science jobs.
Coders and AI Working Together
Programmers can use AI to do the grunt work of coding and then review it to make sure that it makes sense and has solid structure and flow.
However, coders also can use AI to improve their own code. Running code through AI can help find bugs and errors.
Essentially, AI can streamline the programming process, improve deployment, and enhance software quality. AI techniques can analyze changes and test results and production metrics to provide insight on performance, quality, and potential issues.
Human Specialists
Humans also are needed to write code in a variety of specialized areas where AI has been slow to catch up, but it can be used as a powerful tool in these areas, too:
- : Design computer programs and applications, as well as identify problems and bugs in these applications and programs. More than 140,000 openings for software developers are expected over the next 10 years.
- : Plan and carry out security strategies to protect computer systems and networks. High demand for cybersecurity experts is expected to add nearly 60,000 jobs over the next 10 years.
- : Gather, identify, and structure data to make it readable for a program. Then develop algorithms and models for machine learning to classify or categorize data or make predictions. An increase in demand for data scientists will help the field grow to 203,000 jobs to 276,000 over the next decade.
- : Create and organize systems that store and secure a variety of data and ensure that the data are available to authorized users. Migration to cloud environments and the adoption of AI techniques will drive the need for database architects and administrators.
- : Design and implement data communication networks such as local area networks (LANs), wide area networks (WANs), and intranets. The expansion of cloud computing and emerging technologies, including AI, will drive the need for computer network architects from 178,000 jobs to 208,000 over the next decade.
Stay Nimble
The key to staying ahead of the curve is to keep learning鈥攕uch as pursuing a computer science degree at 桃子视频APP, which combines theory with sound engineering鈥攊s a good start.
Concerns about whether AI will reduce the need for programmers aren鈥檛 heedless. In the quick-shifting landscape of technology, it's common for concerns to arise about the future of various professions.
However, the future of programming is not a battle between AI versus human coders, but rather more of a collaboration. By understanding the complementary nature of AI and the job market, programmers can find themselves in demand.
Continuous learning, adaptability, and embracing the altering landscape of technology will be paramount in adapting with AI in software development. With AI as a complementary companion, horizons can expand.
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