The launch of ChatGPT (Chat Generative Pre-trained Transformer) on November 30, 2022, has caused excitement, curiosity, and fear within the tech and AI communities. People are concerned about the potential impact on industries, job markets, and the possibility of job losses.
Programmers and coders are questioning their career choices in light of the advancements made by ChatGPT, Bard, and GitHub Copilot in generating code. They wonder if they have made the right decision and if their jobs will be at risk.
To find some clarity, I decided to consult ChatGPT and Bard for their insights on the matter. Should I continue programming, or should I explore other skills for the future?
I asked a few questions and received some interesting responses, which I would like to share. Let’s start with the first question:
Will AI impact programming jobs in the near future?
Both ChatGPT and Bard gave similar responses when asked this question. They stated that AI is already beginning to impact programming jobs and will continue to do so in the near future. Here are some ways in which AI is influencing programming roles:
- Automation of Routine Tasks: AI-powered tools can automate repetitive and mundane coding tasks, allowing programmers to focus on more complex aspects of software development.
- Code Generation: AI can assist in generating code snippets and even whole programs based on high-level requirements, making rapid prototyping and development easier.
- Bug Detection and Fixing: AI can identify bugs and vulnerabilities in code by analyzing patterns and comparing them to best practices, enhancing code quality and security.
- Optimization: AI algorithms can optimize code for performance, memory usage, and other metrics by analyzing code execution and suggesting improvements.
- Natural Language Interfaces: AI-powered tools can enable programmers to interact with computers using natural language, making programming more accessible to those without coding backgrounds.
- Assistance in Learning: AI can serve as a learning aid for new programmers, providing feedback, suggesting solutions, and guiding them through the learning process.
- Data Analysis and Machine Learning: AI is heavily involved in data analysis and machine learning, which are closely related to programming. Skilled programmers in AI and machine learning will be in high demand.
- Impact on Coding Demand: While some routine programming tasks may be automated, the demand for skilled programmers who can design, architect, and create complex software systems will remain strong. AI tools themselves require skilled programmers to develop and maintain.
- New Job Roles: AI integration into programming may lead to the emergence of new job roles, such as AI trainers, AI developers, and experts who can fine-tune AI models for specific tasks.
It is important to note that while AI can automate certain aspects of programming, human expertise is still vital for algorithm design, understanding user needs, and making ethical decisions. Programmers will need to adapt by acquiring new skills and staying updated on AI developments to remain relevant in this evolving landscape. The relationship between AI and programming will likely involve a blend of collaboration and competition, with AI enhancing programmer productivity rather than fully replacing them.
This response acknowledges that artificial intelligence will have an impact on programming jobs in the near future. While there may be fewer job opportunities due to automation and AI, programmers’ lives will also be made easier. To have a clearer understanding of future employment prospects, let’s move on to the second question.
Will programming be carried out by humans or by Artificial Intelligence In 2030?
I asked this question to gauge the potential impact of AI in the next 6-7 years, and here is the response I received:
“Predicting the exact state of technology and programming in 2030 is challenging. However, based on the current trends, artificial intelligence (AI) has been rapidly advancing and growing in various fields, including programming. AI is already assisting programmers in tasks such as code generation, bug detection, and optimization. This suggests that AI will likely play a significant role in programming activities in the future.
However, it is unlikely that AI will completely replace human programmers by 2030. Programming is a creative and complex activity involving problem-solving, design decisions, and adaptation to new requirements. Human programmers possess deep understanding of context, domain knowledge, and the ability to make judgment calls that machines may struggle with.
In the foreseeable future, a more plausible scenario is a collaborative approach between humans and AI in the programming process. AI tools may assist programmers in code generation, suggesting solutions, and handling routine tasks, while human programmers provide critical thinking, creativity, and oversight necessary for producing high-quality software.”
While AI is expected to have an increasingly prominent role in programming activities by 2030, human programmers will remain essential due to their unique cognitive abilities and domain expertise.
So no, humans will not be completely replaced, but some jobs within the industry may be impacted, making AI more prominent by 2023.
Examples of AI-aligned programming, reasons for automated coding, and the benefits of human-free programming
Another way to ask this question would be, “Can you provide specific examples of how and why AI is better suited for programming? Please list all the reasons why programming should be exclusively done by computers and robots rather than by humans. Also, provide a list of all the advantages of programming without human involvement.”
I asked this question to understand the superiority of AI programming over human programming and the role of humans in comparison to AI. Here is the response I received:
“While programming involves a mix of creativity, problem-solving, and domain knowledge that humans currently excel at, there are specific tasks and scenarios where AI offers advantages. Here are some examples of how and why AI is suited for programming, along with arguments for programming exclusively done by computers and robots:
Examples of How and Why Programming is Suited for AI
- Code Generation: AI can generate code based on high-level requirements or natural language descriptions, speeding up the initial coding process.
- Code Refactoring: AI tools can analyze code and suggest optimizations, making the codebase more efficient and maintainable.
- Bug Detection: AI-powered tools can scan code for patterns that indicate potential bugs, helping catch errors early in the development cycle.
- Performance Optimization: AI can analyze code and suggest ways to improve performance, such as memory usage and execution speed.
- Automated Testing: AI can automate the testing process by generating test cases, running tests, and identifying potential vulnerabilities.
- Predictive Analytics: AI can analyze historical data and predict software defects or vulnerabilities, enabling proactive maintenance.
- Pattern Recognition: AI can identify patterns in large codebases, aiding in tasks like identifying duplicated code or enforcing coding standards.
Arguments for Programming by Computers and Robots
- Precision and Consistency: Computers can consistently follow coding standards, minimizing human errors and ensuring consistent code quality.
- Efficiency: AI can analyze large codebases quickly, detecting issues and suggesting improvements far faster than a human programmer.
- Repetitive Tasks: AI is well-suited for automating repetitive coding tasks, freeing human programmers for more creative and complex work.
- Scalability: Computers can handle massive amounts of data and code, making them suitable for large-scale projects that may overwhelm human programmers.
- Objective Decision-Making: AI decisions are based on data and algorithms, reducing bias and subjectivity in code-related decisions.
- 24/7 Availability: AI-powered tools can work round the clock, continuously monitoring code and suggesting improvements.
- Rapid Learning: AI can quickly adapt to new programming languages, libraries, and frameworks, accelerating the development process.
- Cost-Effectiveness: Once developed, AI tools can be more cost-effective than employing human programmers for routine tasks.
- Risk Reduction: AI can identify potential security vulnerabilities, helping to reduce the risk of cyberattacks and data breaches.
- Data-Driven Insights: AI can provide insights into code performance and usage patterns, aiding informed decisions about codebase improvements.
While AI may excel in these areas, it is important to note that programming goes beyond code writing. Human programmers bring creativity, intuition, domain expertise, and ethical judgment to the table. Additionally, AI may struggle with understanding complex contexts, making nuanced decisions, and addressing aspects such as user experience and ethical considerations. Therefore, the most likely scenario is a collaborative approach where AI tools enhance the capabilities of human programmers while humans provide the critical thinking and expertise that AI currently lacks.”
From the response received, we can conclude that while AI outperforms humans in many aspects, humans still bring creativity, intuition, and other expertise to the programming process, even though AI is continuously improving and demonstrating creative capabilities.
Can people expect to lose their jobs due to the race with computers in the future?
To sum up, I asked whether humans will struggle to compete with computer programming in the future, whether they will lose their jobs, or both. Here is the response I received:
“The future impact of computers and automation on jobs is a complex and debated topic. While computers and AI can outperform humans in certain tasks, the relationship between technology and jobs is not necessarily a zero-sum game.
- Job Displacement: Automation and AI can lead to the displacement of jobs involving routine, repetitive tasks. This has been evident in manufacturing and some service industries. However, history has shown that while certain jobs may be replaced, new jobs often emerge to support and maintain the technology itself. The rise of computers, for example, led to the creation of new job roles in IT, software development, and data analysis.
- Job Enhancement: Automation and AI can also enhance human capabilities. For instance, AI can assist professionals in making better decisions by quickly analyzing large datasets. This can increase productivity and create new opportunities for innovation.
- Creativity and Complex Problem Solving: Jobs requiring creativity, complex problem-solving, emotional intelligence, and an understanding of human interactions are less likely to be easily automated. Professions like art, design, research, therapy, and management fall into this category.
- Human-Machine Collaboration: Instead of replacing humans, AI and automation can work alongside them, augmenting their abilities. This can lead to hybrid roles where humans and machines collaborate for better results.
- Reskilling and Education: In an evolving job market, reskilling and continuous education become crucial. People may need to adapt and learn new skills to remain relevant in the changing landscape.
- Ethical and Social Considerations: The adoption of AI and automation raises ethical and social questions. Determining which tasks should be automated and ensuring fairness, accountability, and transparency in AI systems are ongoing challenges.
The future of jobs is not a simple race between humans and computers. It is likely a combination of job displacement, job enhancement, and the emergence of new roles. The key lies in understanding the evolving landscape, acquiring relevant skills, and embracing the opportunities that technology brings. Society, governments, and businesses also play a role in shaping how automation and AI impact the workforce.
It is clear that computers and artificial intelligence have the potential to outperform humans, and looking at history, some jobs may be eliminated. However, there will also be new positions that involve aspects of automation, artificial intelligence, human-machine collaboration, creativity, and complex problem-solving.
In my opinion, predicting the precise impact of ChatGPT technology is challenging, even without considering its capabilities. However, I believe that programmers will not become obsolete. Skilled programmers are likely to embrace this new technology and use it to their advantage. ChatGPT can function as a programmer’s assistant, providing data and answering questions, even about non-essential details. This can aid programmers in their work and problem-solving. Whether this development is positive or negative depends on one’s perspective. It encourages creativity and allows programmers to leverage it to their benefit.