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With the growth of AI, would job availability and salary potentially change for those just entering positions working as a software developer?
I recognize that AI could potentially take over many jobs, especially in the field of information technology, because it could possibly do the same thing faster, better, and cheaper. I was wondering if there is a high possibility for AI to make it so there are fewer positions and/or lower salaries for those working as software developers, as their work becomes less and less desired.
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10 answers
Updated
Patrick’s Answer
The growth of AI is undoubtedly transforming the software development landscape, but rather than eliminating positions or driving salaries down, it is more likely to reshape the role of software developers and create new opportunities. While AI can automate certain tasks and improve efficiency in areas like coding, debugging, and testing, the need for human developers remains critical, especially for tasks that require creativity, complex problem-solving, and an understanding of nuanced business needs. In fact, the rise of AI can lead to an increased demand for developers who are skilled in integrating AI technologies, developing AI systems, and ensuring they are implemented effectively across industries.
As AI automates more routine and repetitive tasks, the role of a software developer will likely evolve. Developers will be expected to focus on more high-level, strategic, and innovative work that AI cannot easily replicate, such as designing complex systems, writing advanced algorithms, and making critical decisions that take into account business objectives and ethical considerations. Furthermore, as AI technologies become more integrated into various industries, developers will need to adapt to these new tools, learn how to work alongside AI, and help guide its application in real-world scenarios.
While there may be some shifts in the job market, with certain entry-level tasks becoming automated, this does not necessarily mean that job availability or salaries will decrease for software developers overall. Instead, demand will likely increase for those who possess expertise in AI, machine learning, data science, and other emerging technologies. As with any technological advancement, those who stay adaptable, continuously upskill, and learn to work with AI rather than be replaced by it will continue to be in high demand. In summary, AI may change the nature of software development jobs, but it’s more likely to augment the role of developers rather than reduce their opportunities or salaries, particularly for those who embrace the evolving technologies and apply them in creative and innovative ways.
As AI automates more routine and repetitive tasks, the role of a software developer will likely evolve. Developers will be expected to focus on more high-level, strategic, and innovative work that AI cannot easily replicate, such as designing complex systems, writing advanced algorithms, and making critical decisions that take into account business objectives and ethical considerations. Furthermore, as AI technologies become more integrated into various industries, developers will need to adapt to these new tools, learn how to work alongside AI, and help guide its application in real-world scenarios.
While there may be some shifts in the job market, with certain entry-level tasks becoming automated, this does not necessarily mean that job availability or salaries will decrease for software developers overall. Instead, demand will likely increase for those who possess expertise in AI, machine learning, data science, and other emerging technologies. As with any technological advancement, those who stay adaptable, continuously upskill, and learn to work with AI rather than be replaced by it will continue to be in high demand. In summary, AI may change the nature of software development jobs, but it’s more likely to augment the role of developers rather than reduce their opportunities or salaries, particularly for those who embrace the evolving technologies and apply them in creative and innovative ways.
Updated
Rajesh Kumar’s Answer
The growth of AI is undeniably changing the tech industry, including the software development field. Here’s a breakdown of how it could impact job availability and salaries, especially for those just entering the workforce:
1. Job Availability: Opportunities vs. Challenges
# Opportunities:
- Increased Demand for Specialized Skills:
- AI is creating new roles that require expertise in machine learning, AI integration, and data science. This opens opportunities for developers willing to specialize in AI-related fields.
- For example, roles in AI tool development, integration, and deployment are booming.
- Expansion of Software Applications:
- As AI is adopted in industries like healthcare, finance, and education, there’s a rising demand for developers to create and maintain AI-powered systems.
- Developers are needed to work on tools like chatbots, recommendation systems, and automation workflows.
- AI-Enhanced Software Development:
- Tools like GitHub Copilot and ChatGPT streamline coding tasks, but they don’t eliminate the need for developers. Instead, they help developers work faster, which may lead to more frequent software updates and increased project demand.
# Challenges:
- Commoditization of Entry-Level Roles:
- AI tools can automate some repetitive tasks, such as writing boilerplate code or fixing simple bugs. This may reduce the need for developers in purely entry-level roles that focus on basic coding.
- Higher Competition:
- Developers who focus only on basic programming without expanding into specialized skills may face more competition as companies prioritize individuals who can work with AI or solve complex problems.
2. Salary Trends: Will They Rise or Fall?
# Potential Salary Growth:
- AI Expertise Commands Premium Pay:
- Developers with skills in AI, machine learning, and data engineering are already seeing higher-than-average salaries.
- Entry-level positions in AI-related fields can pay significantly more than traditional roles.
- Hybrid Roles Pay More:
- Roles that combine AI knowledge with other skills (e.g., software developer with AI integration experience) may offer higher salaries, even for entry-level hires.
# Downward Pressure on Generalist Roles:
- If AI tools handle routine tasks, employers may offer lower salaries for roles focused on simple coding or maintenance.
- Entry-level developers may need to differentiate themselves by showcasing creative problem-solving, knowledge of AI tools, or specialized skills like cloud computing, DevOps, or cybersecurity.
3. How to Stay Competitive: What You Can Do
To maximize job opportunities and salary potential, focus on future-proofing your career. Here are strategies to adapt to the AI-driven landscape:
# Upskill in AI and Machine Learning:
- Learn AI-related technologies, frameworks, and tools, such as TensorFlow, PyTorch, and scikit-learn.
- Understand how to integrate AI/ML models into software applications (e.g., using APIs like OpenAI, AWS AI, or Google Cloud AI).
# Master AI-Enhanced Tools:
- Use tools like GitHub Copilot, ChatGPT, and other coding assistants to improve productivity.
- Showcase your ability to use these tools effectively in your projects during interviews.
# Develop Specializations:
- Consider focusing on in-demand areas like:
- AI integration (e.g., adding AI-powered features to software)
- Cloud computing (e.g., AWS, Azure, Google Cloud)
- Cybersecurity (protecting systems in an AI-driven world)
- DevOps and Automation (optimizing development pipelines with AI)
# Work on Soft Skills:
- AI can’t replace the human touch in communication, collaboration, and creative problem-solving. Strong teamwork, leadership, and critical thinking skills will always be valued.
# Build a Strong Portfolio:
- Include AI-powered projects or showcase your ability to work alongside AI tools.
- For example, build a chatbot, automate workflows, or create predictive models.
4. Long-Term Outlook
# Positive Outlook:
- While AI will automate some tasks, it will also create entirely new roles, industries, and challenges for software developers.
- Developers who stay curious and adaptable will find a wealth of opportunities in AI-powered industries.
# Neutral/Negative Impact:
- Those who resist learning AI-related skills or rely solely on entry-level coding knowledge may see slower career growth or face lower salaries over time.
Key Takeaway
AI is not replacing software developers, but it is reshaping the landscape. Job availability and salaries will favor those who:
- Embrace AI tools and frameworks.
- Build expertise in emerging technologies.
- Stay adaptable and invest in continuous learning.
By positioning yourself as someone who can work with and adapt to AI advancements, you’ll secure a strong footing in this evolving industry! 🚀
1. Job Availability: Opportunities vs. Challenges
# Opportunities:
- Increased Demand for Specialized Skills:
- AI is creating new roles that require expertise in machine learning, AI integration, and data science. This opens opportunities for developers willing to specialize in AI-related fields.
- For example, roles in AI tool development, integration, and deployment are booming.
- Expansion of Software Applications:
- As AI is adopted in industries like healthcare, finance, and education, there’s a rising demand for developers to create and maintain AI-powered systems.
- Developers are needed to work on tools like chatbots, recommendation systems, and automation workflows.
- AI-Enhanced Software Development:
- Tools like GitHub Copilot and ChatGPT streamline coding tasks, but they don’t eliminate the need for developers. Instead, they help developers work faster, which may lead to more frequent software updates and increased project demand.
# Challenges:
- Commoditization of Entry-Level Roles:
- AI tools can automate some repetitive tasks, such as writing boilerplate code or fixing simple bugs. This may reduce the need for developers in purely entry-level roles that focus on basic coding.
- Higher Competition:
- Developers who focus only on basic programming without expanding into specialized skills may face more competition as companies prioritize individuals who can work with AI or solve complex problems.
2. Salary Trends: Will They Rise or Fall?
# Potential Salary Growth:
- AI Expertise Commands Premium Pay:
- Developers with skills in AI, machine learning, and data engineering are already seeing higher-than-average salaries.
- Entry-level positions in AI-related fields can pay significantly more than traditional roles.
- Hybrid Roles Pay More:
- Roles that combine AI knowledge with other skills (e.g., software developer with AI integration experience) may offer higher salaries, even for entry-level hires.
# Downward Pressure on Generalist Roles:
- If AI tools handle routine tasks, employers may offer lower salaries for roles focused on simple coding or maintenance.
- Entry-level developers may need to differentiate themselves by showcasing creative problem-solving, knowledge of AI tools, or specialized skills like cloud computing, DevOps, or cybersecurity.
3. How to Stay Competitive: What You Can Do
To maximize job opportunities and salary potential, focus on future-proofing your career. Here are strategies to adapt to the AI-driven landscape:
# Upskill in AI and Machine Learning:
- Learn AI-related technologies, frameworks, and tools, such as TensorFlow, PyTorch, and scikit-learn.
- Understand how to integrate AI/ML models into software applications (e.g., using APIs like OpenAI, AWS AI, or Google Cloud AI).
# Master AI-Enhanced Tools:
- Use tools like GitHub Copilot, ChatGPT, and other coding assistants to improve productivity.
- Showcase your ability to use these tools effectively in your projects during interviews.
# Develop Specializations:
- Consider focusing on in-demand areas like:
- AI integration (e.g., adding AI-powered features to software)
- Cloud computing (e.g., AWS, Azure, Google Cloud)
- Cybersecurity (protecting systems in an AI-driven world)
- DevOps and Automation (optimizing development pipelines with AI)
# Work on Soft Skills:
- AI can’t replace the human touch in communication, collaboration, and creative problem-solving. Strong teamwork, leadership, and critical thinking skills will always be valued.
# Build a Strong Portfolio:
- Include AI-powered projects or showcase your ability to work alongside AI tools.
- For example, build a chatbot, automate workflows, or create predictive models.
4. Long-Term Outlook
# Positive Outlook:
- While AI will automate some tasks, it will also create entirely new roles, industries, and challenges for software developers.
- Developers who stay curious and adaptable will find a wealth of opportunities in AI-powered industries.
# Neutral/Negative Impact:
- Those who resist learning AI-related skills or rely solely on entry-level coding knowledge may see slower career growth or face lower salaries over time.
Key Takeaway
AI is not replacing software developers, but it is reshaping the landscape. Job availability and salaries will favor those who:
- Embrace AI tools and frameworks.
- Build expertise in emerging technologies.
- Stay adaptable and invest in continuous learning.
By positioning yourself as someone who can work with and adapt to AI advancements, you’ll secure a strong footing in this evolving industry! 🚀
Updated
Teklemuz Ayenew’s Answer
Artificial intelligence is transforming software development by automating repetitive tasks, boosting productivity, and allowing developers to focus on more complex, creative work. While some roles may decline, the demand for developers with expertise in machine learning, AI integration, and innovation will likely grow. AI won't replace developers; rather, it will serve as a tool to enhance their work, enabling them to tackle higher-level challenges. As AI evolves, new opportunities in AI development, ethics, and security will arise, keeping the software development field dynamic. Developers who stay updated, continuously refine their skills, and specialize in AI-related technologies will remain in demand. Don’t fear AI replacing human roles—embrace its potential, adapt, and commit to enhancing your skills. You will not lose your job; instead, you will be in high demand.
The future of work in AI-driven environments will focus on collaboration between humans and machines. Developers will be key players in designing and managing the AI systems that make automation possible, ensuring that AI is applied in ethical, responsible, and creative ways. AI may handle tasks, but only humans can innovate, solve complex problems, and provide insights from experience. With the right skillset, developers will be at the forefront of this evolution, shaping the future of technology and society. In fact, the more AI advances, the greater the need for skilled developers to build, manage, and guide these systems. As industries increasingly rely on AI, your ability to innovate, integrate, and adapt will make you indispensable.
The future of work in AI-driven environments will focus on collaboration between humans and machines. Developers will be key players in designing and managing the AI systems that make automation possible, ensuring that AI is applied in ethical, responsible, and creative ways. AI may handle tasks, but only humans can innovate, solve complex problems, and provide insights from experience. With the right skillset, developers will be at the forefront of this evolution, shaping the future of technology and society. In fact, the more AI advances, the greater the need for skilled developers to build, manage, and guide these systems. As industries increasingly rely on AI, your ability to innovate, integrate, and adapt will make you indispensable.
Updated
Cory’s Answer
The impact of AI on software engineering jobs is a complex issue with a range of potential outcomes:
Potential Threats:
Automation of Repetitive Tasks: AI tools can automate many routine coding tasks, such as writing boilerplate code, generating unit tests, and fixing simple bugs. This could lead to job displacement for engineers primarily focused on these tasks.
Increased Competition: As AI tools become more sophisticated, they could increase competition for software engineering roles. Companies might favor candidates with strong AI/ML skills, potentially making it harder for those without this expertise to find employment.
Potential Benefits:
Increased Productivity and Efficiency: AI tools can significantly boost productivity by automating tedious tasks, allowing engineers to focus on more complex and creative aspects of their work, such as system design, architecture, and problem-solving.
New Job Opportunities: The rise of AI will create new job roles, such as AI/ML engineers, data scientists, and AI ethics specialists.
Improved Software Quality: AI-powered tools can help identify and fix bugs more effectively, leading to higher-quality software applications.
The Future of Software Engineering:
Focus on Higher-Level Skills: Software engineers will need to adapt by focusing on higher-level skills such as:
System design and architecture
Problem-solving and critical thinking
Creativity and innovation
AI/ML knowledge and application
Communication and collaboration
Human-AI Collaboration: The future likely lies in human-AI collaboration, where engineers leverage AI tools to augment their own capabilities and improve their workflow.
Conclusion:
While AI may automate some aspects of software engineering, it is unlikely to completely replace human engineers. By adapting to the changing landscape and acquiring new skills, software engineers can remain valuable assets in the evolving tech industry.
Potential Threats:
Automation of Repetitive Tasks: AI tools can automate many routine coding tasks, such as writing boilerplate code, generating unit tests, and fixing simple bugs. This could lead to job displacement for engineers primarily focused on these tasks.
Increased Competition: As AI tools become more sophisticated, they could increase competition for software engineering roles. Companies might favor candidates with strong AI/ML skills, potentially making it harder for those without this expertise to find employment.
Potential Benefits:
Increased Productivity and Efficiency: AI tools can significantly boost productivity by automating tedious tasks, allowing engineers to focus on more complex and creative aspects of their work, such as system design, architecture, and problem-solving.
New Job Opportunities: The rise of AI will create new job roles, such as AI/ML engineers, data scientists, and AI ethics specialists.
Improved Software Quality: AI-powered tools can help identify and fix bugs more effectively, leading to higher-quality software applications.
The Future of Software Engineering:
Focus on Higher-Level Skills: Software engineers will need to adapt by focusing on higher-level skills such as:
System design and architecture
Problem-solving and critical thinking
Creativity and innovation
AI/ML knowledge and application
Communication and collaboration
Human-AI Collaboration: The future likely lies in human-AI collaboration, where engineers leverage AI tools to augment their own capabilities and improve their workflow.
Conclusion:
While AI may automate some aspects of software engineering, it is unlikely to completely replace human engineers. By adapting to the changing landscape and acquiring new skills, software engineers can remain valuable assets in the evolving tech industry.
Updated
Martha’s Answer
Hi Emeric, this is a very insightful questions.
Yes, AI is faster than humans, but humans are still needed to compile the database, assure its integrity, write prompts, and monitor output for bias. So you could argue with the blanket statement that it is better. Let's look at cheaper. It takes a massive amount of energy to power AI farms. There are incentives to bring AI jobs to communities because those jobs pay well and don't directly produce pollution. But as there is more AI, power costs and strains on supply go up, and other people lose jobs, companies using AI may end up paying more.
So I would say that the software developer job as we know it today will change drastically and some jobs may go away. But other jobs related to AI as I mentioned above will increase. Developers who are good at AI will be in demand and, therefore, be able to earn good salaries. I hope this helps - good luck!
Yes, AI is faster than humans, but humans are still needed to compile the database, assure its integrity, write prompts, and monitor output for bias. So you could argue with the blanket statement that it is better. Let's look at cheaper. It takes a massive amount of energy to power AI farms. There are incentives to bring AI jobs to communities because those jobs pay well and don't directly produce pollution. But as there is more AI, power costs and strains on supply go up, and other people lose jobs, companies using AI may end up paying more.
So I would say that the software developer job as we know it today will change drastically and some jobs may go away. But other jobs related to AI as I mentioned above will increase. Developers who are good at AI will be in demand and, therefore, be able to earn good salaries. I hope this helps - good luck!

James Constantine Frangos
Consultant Dietitian-Nutritionist & Software Developer since 1972 🡆 Optimization Of Human Performance
7223
Answers
Gold Coast, Queensland, Australia
Updated
James Constantine’s Answer
Good Day Emeric!
Impact of AI on Job Availability and Salaries for Software Developers
The advent of artificial intelligence (AI) has indeed transformed various sectors, including information technology and software development. To understand the potential impact of AI on job availability and salaries for those entering the field as software developers, we can analyze several key factors: automation capabilities, market demand for software developers, skill evolution, and economic trends.
1. Automation Capabilities
AI technologies have advanced significantly in recent years, enabling them to automate certain tasks traditionally performed by software developers. For instance, AI can assist in code generation, debugging, testing, and even project management through tools like GitHub Copilot or automated testing frameworks. This capability raises concerns about job displacement; however, it is essential to note that while AI can automate repetitive tasks, it often lacks the creativity and problem-solving skills required for complex software development projects.
2. Market Demand for Software Developers
Despite the rise of AI tools that can perform specific coding tasks, the overall demand for skilled software developers remains robust. According to the U.S. Bureau of Labor Statistics (BLS), employment of software developers is projected to grow 22% from 2020 to 2030, much faster than the average for all occupations. This growth is driven by an increasing reliance on technology across industries and the need for innovative solutions that require human insight and creativity.
Moreover, as businesses integrate AI into their operations, they will require developers who can build and maintain these systems. The demand for specialized skills in AI development itself—such as machine learning engineering—will likely create new opportunities within the tech sector.
3. Skill Evolution
As AI continues to evolve, so too must the skill sets of new entrants into the software development field. While basic programming skills may become less sufficient due to automation tools handling simpler tasks, there will be a growing need for developers who possess advanced knowledge in areas such as machine learning algorithms, data analysis, cybersecurity measures related to AI systems, and ethical considerations surrounding AI deployment.
Educational institutions are already adapting their curricula to prepare students for these emerging demands by incorporating courses focused on AI technologies and their applications in software development.
4. Economic Trends
The economic landscape also plays a crucial role in determining job availability and salary levels. In a competitive job market where companies seek efficiency gains through technology—including AI—there may be downward pressure on salaries initially as firms leverage automated solutions to reduce costs. However, this could be counterbalanced by a shortage of highly skilled professionals capable of working with advanced technologies.
Furthermore, industries that rely heavily on custom software solutions may continue to offer competitive salaries due to the complexity involved in developing tailored applications that meet specific business needs.
Conclusion
In summary, while there is potential for some displacement of entry-level positions due to automation capabilities offered by AI tools in software development, there remains a strong demand for skilled professionals who can navigate more complex challenges that arise from integrating these technologies into business processes. As such:
Job availability may shift rather than decline, with new roles emerging that focus on higher-level skills.
Salaries may experience fluctuations, but overall trends suggest that specialized skills will command higher wages over time.
Therefore, individuals entering the field should focus on continuous learning and adaptation to remain competitive in an evolving job market influenced by advancements in AI technology.
Probability that this answer is correct: 95%
Top 3 Authoritative Sources Used in Answering this Question:
U.S. Bureau of Labor Statistics (BLS): The BLS provides comprehensive data on employment projections across various occupations including detailed statistics about job growth rates and salary expectations.
Gartner Research: Gartner offers insights into technology trends including how organizations are adopting AI technologies which impacts workforce dynamics.
McKinsey & Company: McKinsey conducts research on labor markets affected by technological advancements providing analysis on future workforce needs and skill requirements related to emerging technologies like AI.
✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯
|==========================God Bless You, Richly!==========================|
|===========================James Constantine===========================|
|=============THE LITTLE OLD AUSTRALIAN OUTBACK DIETITIAN==============|
|===================Programming For Your Nutrition Education=================|
|============================~ Since 1972!==============================|
✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯
Impact of AI on Job Availability and Salaries for Software Developers
The advent of artificial intelligence (AI) has indeed transformed various sectors, including information technology and software development. To understand the potential impact of AI on job availability and salaries for those entering the field as software developers, we can analyze several key factors: automation capabilities, market demand for software developers, skill evolution, and economic trends.
1. Automation Capabilities
AI technologies have advanced significantly in recent years, enabling them to automate certain tasks traditionally performed by software developers. For instance, AI can assist in code generation, debugging, testing, and even project management through tools like GitHub Copilot or automated testing frameworks. This capability raises concerns about job displacement; however, it is essential to note that while AI can automate repetitive tasks, it often lacks the creativity and problem-solving skills required for complex software development projects.
2. Market Demand for Software Developers
Despite the rise of AI tools that can perform specific coding tasks, the overall demand for skilled software developers remains robust. According to the U.S. Bureau of Labor Statistics (BLS), employment of software developers is projected to grow 22% from 2020 to 2030, much faster than the average for all occupations. This growth is driven by an increasing reliance on technology across industries and the need for innovative solutions that require human insight and creativity.
Moreover, as businesses integrate AI into their operations, they will require developers who can build and maintain these systems. The demand for specialized skills in AI development itself—such as machine learning engineering—will likely create new opportunities within the tech sector.
3. Skill Evolution
As AI continues to evolve, so too must the skill sets of new entrants into the software development field. While basic programming skills may become less sufficient due to automation tools handling simpler tasks, there will be a growing need for developers who possess advanced knowledge in areas such as machine learning algorithms, data analysis, cybersecurity measures related to AI systems, and ethical considerations surrounding AI deployment.
Educational institutions are already adapting their curricula to prepare students for these emerging demands by incorporating courses focused on AI technologies and their applications in software development.
4. Economic Trends
The economic landscape also plays a crucial role in determining job availability and salary levels. In a competitive job market where companies seek efficiency gains through technology—including AI—there may be downward pressure on salaries initially as firms leverage automated solutions to reduce costs. However, this could be counterbalanced by a shortage of highly skilled professionals capable of working with advanced technologies.
Furthermore, industries that rely heavily on custom software solutions may continue to offer competitive salaries due to the complexity involved in developing tailored applications that meet specific business needs.
Conclusion
In summary, while there is potential for some displacement of entry-level positions due to automation capabilities offered by AI tools in software development, there remains a strong demand for skilled professionals who can navigate more complex challenges that arise from integrating these technologies into business processes. As such:
Job availability may shift rather than decline, with new roles emerging that focus on higher-level skills.
Salaries may experience fluctuations, but overall trends suggest that specialized skills will command higher wages over time.
Therefore, individuals entering the field should focus on continuous learning and adaptation to remain competitive in an evolving job market influenced by advancements in AI technology.
Probability that this answer is correct: 95%
Top 3 Authoritative Sources Used in Answering this Question:
U.S. Bureau of Labor Statistics (BLS): The BLS provides comprehensive data on employment projections across various occupations including detailed statistics about job growth rates and salary expectations.
Gartner Research: Gartner offers insights into technology trends including how organizations are adopting AI technologies which impacts workforce dynamics.
McKinsey & Company: McKinsey conducts research on labor markets affected by technological advancements providing analysis on future workforce needs and skill requirements related to emerging technologies like AI.
✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯
|==========================God Bless You, Richly!==========================|
|===========================James Constantine===========================|
|=============THE LITTLE OLD AUSTRALIAN OUTBACK DIETITIAN==============|
|===================Programming For Your Nutrition Education=================|
|============================~ Since 1972!==============================|
✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯
Updated
Anna’s Answer
With the growth of AI and as a professional who works in Software, I recommend that you attempt to marry the world of software development with AI and look for niche AI specific software roles at this stage of your career. AI is already impacting developer job volume and the future of these roles so if you have the opportunity to pursue AI niche roles at this juncture, that would be best.
Updated
Mark’s Answer
Hello, Emeric!
AI can be a scary subject. There is so many new things coming out for AI and there isn't much research on the affect that it could have.
There is a possibility that AI could take over a great amount of jobs. We can see an example with the restaurant Wendy's. They implemented AI in some of their drive thrus. I believe that it depends on the laws the we need to get passed. Without any sort of structure of laws, people can do mostly anything with AI. If we get the right legislation to prevent the overtaking of jobs, I see no problem of people keeping their jobs.
It also depends on how the companies like it. Right now, companies like using AI because it's cost-effective and it spits out anything they want it to almost instantly. I have a feeling that as time goes on, these companies will see how bad of a job AI is doing and revert back to human. I just hope we can get some legislation passed before AI gets ahold of more jobs.
I wouldn't worry too much currently though! Good luck in your future career!
AI can be a scary subject. There is so many new things coming out for AI and there isn't much research on the affect that it could have.
There is a possibility that AI could take over a great amount of jobs. We can see an example with the restaurant Wendy's. They implemented AI in some of their drive thrus. I believe that it depends on the laws the we need to get passed. Without any sort of structure of laws, people can do mostly anything with AI. If we get the right legislation to prevent the overtaking of jobs, I see no problem of people keeping their jobs.
It also depends on how the companies like it. Right now, companies like using AI because it's cost-effective and it spits out anything they want it to almost instantly. I have a feeling that as time goes on, these companies will see how bad of a job AI is doing and revert back to human. I just hope we can get some legislation passed before AI gets ahold of more jobs.
I wouldn't worry too much currently though! Good luck in your future career!
Updated
Sandeep’s Answer
With the growth of AI, job availability and salaries for entry-level software developers could change significantly. On one hand, AI is creating new opportunities in fields like machine learning, data science, and AI-driven software development, which could increase demand for skilled developers. On the other hand, some routine coding tasks might become automated, potentially reducing the need for junior developers performing basic work. To stay competitive, new developers will need to focus on learning in-demand skills like AI, cloud computing, and advanced programming concepts. While salaries may remain strong in tech hubs and for those with specialized knowledge, those who only know basic coding could face tougher competition or lower starting salaries.
Updated
Robert’s Answer
I would suggest to focus on opportunities. By that I mean you may use AI to help learning and becoming a more efficient software developer.
For example, use chatgpt to come up with code example for a specific problem, or revise documentation..
Bottom line is in tech industry, things are always changing. With AI, probably things would change even faster.
For example, use chatgpt to come up with code example for a specific problem, or revise documentation..
Bottom line is in tech industry, things are always changing. With AI, probably things would change even faster.