Computer Programmers


Will Artificial Intelligence Replace Computer Programmers?

Based on the 2013 study it's unclear if this occupation will be replaced by robots/AI. However, workers can take comfort in the results from our poll, which only shows a 40% chance of automation within the next 2 decades.

Automation Risk Level

Start worrying

or 48% probability of automation

Projected Growth


by 2024

Median Annual Wage


or $38.38 hourly

People Employed


as of 2016

Most likely
Least likely

How this compares with other jobs: 295 out of 706

Cast Your Vote

How likely do you think this occupation will be taken over by robots/AI within the next 20 years?

Job description

Create, modify, and test the code, forms, and script that allow computer applications to run. Work from specifications drawn up by software developers or other individuals. May assist software developers by analyzing user needs and designing software solutions. May develop and write computer programs to store, locate, and retrieve specific documents, data, and information.

SOC Code: 15-1131

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Comments says
In a survey conducted by Evans Data Corp, 550 software developers were asked about the most worrying aspects in their career. 29 percent said, “I and my development efforts are replaced by artificial intelligence.”
Aug 22, 2019 at 07:49 AM
Renny says
Even if AI takes over the programmer's job, we will have other things to do.
Aug 06, 2019 at 05:44 AM
Jo says
Interestingly, there is this:
Jul 31, 2019 at 01:30 AM
Sergey says
I wonder why the hell programmers and computer scientists create an AI that will replace themselves? Are they tired of work and need a life time vacation? Or what? Why do we create an AI that can paint not worse than Picasso or Dali? I don't really understand that. AI removes all the uniqueness in art industry. Just why people do that? For what reason?
Aug 05, 2019 at 06:16 AM
RF (No chance) says
AI can currently do some code completion. Anything other than assisting programmers would worry many people, if it ever does get that far.
Jul 30, 2019 at 04:02 PM
Olaf says
Software Developers 4%
Computer Programmers 48%
It doesn't make sense.
Jul 27, 2019 at 09:06 PM
Yee says
These informations are not real. It is just survey which people take how they think it will look like in the future
Aug 14, 2019 at 03:59 PM
Gert says
Yeah, by the time computer programmers have been replaced, all other occupations have been too. Programmer will be the last occupation to be replaced.
Jul 21, 2019 at 02:01 PM
Lashe (No chance) says
Programming jobs won't be automated any time soon. To write computer code requires the ability to think. That is something that AI is not capable of doing even for a long time. Anyone that thinks that computer programming jobs will be taken by AI anytime soon probably has never written serious code.
Jun 16, 2019 at 10:32 PM
XeNNo (Highly likely) says
A time will come when Artificial Intelligence will write code for itself and then Computer Programmers would become less required ...
May 29, 2019 at 04:53 PM
Patrick Woo says
The day the computer can specify its own requirement, is the day it can totally program itself to hit its own targets. Till then it will always rely on humans to provide the specifications.

The thing with human providing the specification to a piece of software is... the language we use is ambiguous and has lots of room for misinterpretation. The most succinct and direct language to instruct the machine to do exactly we what want and leave no room for guesswork is.... the programming language itself.

To be able to come up with a specification to solving a problem requires wide cognitive functions to be able to understand the problem domain and how to solve it in the most efficient way. Right now even humans have problems dealing with that, coming up with the solution they want. Ask any software developers today and they will tell you in their day to day work, there are many cases where the clients (external and sometimes internal too) do not know what they are asking for, and in other cases, do not know what they want.

Other things like prioritising features over performance, aesthetics (user-interface design considerations) over usability, and what is a good balance to strike that is the best trade-off between 2 factors that affect the code.

These are decisions that machines cannot effectively make, simply because we are the users. Also it is very hard to please everybody.

So I see that the life-cycle of software development is a very organic thing that cannot easily be outsourced or taken over by machines, unless we relinquish our right to decide and let machines do their own thing, specify their own targets, and be able to meet them 100%.
May 08, 2019 at 03:54 AM
lol says
We shouldn't make AI programme itself, that is just wrong.
May 02, 2019 at 07:20 AM
Revi (Highly likely) says
When AI gets to the point where we can rely on it 100% of the time, we'll hit the point where it doesn't need us anymore
Apr 22, 2019 at 06:49 PM
Jasmine (Small chance) says
In the next 20 years, it wouldn't be possible to replace someone that quite literally codes the language into the machines. As it REQUIRES human ingenuity to even achieve the complex codes inside of our everyday technology.
Apr 18, 2019 at 05:06 PM
Rb says
But you never know look how fast AI has come so far in a very short time
Apr 22, 2019 at 11:13 AM
AAA says
Apr 22, 2019 at 06:11 PM

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Will Artificial Intelligence Replace Computer Programmers?

With the continuous advancements in technology, as well as organizations investing more and more into AI and robotics, the inevitable question remains: will AI replace programmers in the future?

Over the past few years, several studies have been pointing out to the significant threat automation processes pose, often sensationalizing the potential threat that AI poses to developers, subsequently aggravating programmers’ fears.

While the need for human programmers has not subsided, the remarkable advances in AI cannot be ignored.

Anyone who reads the news and keeps up with the latest in tech will notice the constant new developments, reported on in, an almost daily, bases.

AI is able to handle more and more tasks humans have been doing, and the progress is accelerating.

So, will AI render programmers obsolete?

Before we address this question, it is essential that we first understand how AI has gradually transformed over the years, its history, as well as the hype surrounding it.

Early AI and old school Programming

The first mention of AI can be traced back to the 1950s, notably computers that played checkers. From then onwards, the ante kept increasing with computers eventually beating humans at checkers, chess, backgammon, and finally even beating us at Go! This initial AI wave saw computers apply basic rules to beat humans at various games using a finite number of moves and subsequent clear outcomes.

While this is great, it is hardly an existential threat for developers. Computer programs that are proficient at a board game are cool for sure, but nowadays this is hardly ground-breaking news. Developing a set of rules as well as steps to make solid decisions in a given situation runs into limitations in the wild. Many of the real-life problems’ programmers are trying to find solutions for these days are not as straightforward as a board game.

Traditional Coding and its complexity

When it comes to conventional programming, codes are a distinct set of rule-based decisions that are nested in increasingly intricate conditionals. While this works quite well in simple, predictable scenarios, the bigger and more complex a project gets, the more the limits to this method become noticeable.

Testing traditional coding must anticipate each possible situation, and this process grows exponentially. As a program grows, scalability issue can develop, and at some stage, it can get too unwieldy to keep adding more code lines to the original code base.

The fragility of relatively large programs is something we all have to deal with as we use computers. Most of us have probably had the experience of installing an update to a program which was meant to give us all the latest and greatest features, only to find it buggy as hell. Adding code often breaks another seemingly unrelated thing, I’ve made that mistake in my programs many times, and this can result in frustrating consequences. The point is… there is a hard limit to how large traditional, non-AI programs can become.

Black Box Characteristic of AI

The basic approach of machine learning is to look at data and learn as opposed to writing a ton of rules. This approach eradicates the testing and scalability concerns that can plaque rule-based programming.

The most significant setback with machine learning is that it is a black box, even the developers of the machine learning algorithm don’t have a clue as to how decisions are actually made!

When machine learning makes much more sense than traditionally programmed code

There are many examples of AI and machine learning in use today, I’ll just mention a few which are used by most people on a regular basis.

Recommendation engines used by ecommerce stores and content providers, such as Netflix, use machine learning to make suggestions to new and existing customers, and have proven to be more effective than traditionally programmed engines of old. Machine learning is well suited to recommendation engines because it can uncover opportunities not immediately apparent to human developers.

Some other types of programs are simply not feasible without using machine learning. For example, image recognition software, such as that developed by Google. As a developer, I couldn’t fathom how to write such a program and make it remotely accurate without using machine learning, as well as lots and lots of data!

Other examples of ML assisted programs are those used by Google Home, Siri, Alexa etc. The voice recognition systems are heavily reliant on machine learning techniques. Deep neural networks are also employed in these voice recognition systems to make them more effective. Training from millions of users makes them appear smarter, and the technology is heading towards a point in the future where they’ll be able to hold a conversation with you – if that’s your thing :)

Why Is AI Such A Hot Topic Now?

Google search volume for 'machine learning' from March 2009 to March 2019

Many of the algorithms being used for machine learning are from the 80s and 90s, for an industry fascinated with the newest thing, the underlying artificial intelligence logic is pretty old.

However, three relatively recent things have happened which is making machine learning more practical:

  • Storing data is now cheap
  • Increase in computer processing power
  • The exponential growth of accessible information

Automating Tech Jobs

It can be quite worrisome to check out raw data on job automation, and employees are concerned. Here on this website we poll our readers, and ask the question:

“How likely do you think computer programmers will be taken over by AI within the next 20 years?”

Our poll currently shows a probability of 0%.

Realistically speaking though, I do not think that if you are a programmer you need to head to the hills just yet!

The actual future of AI, especially in engineering, is utilizing technology to facilitate the more efficient and faster working of human engineers, not to mention lesser bugs. As such, AI is expected to transform human developers into better and more robust programmers as opposed to entirely replacing them.

Will AI help programmers, and how?

AI is expected to enhance every stage of the software development journey. In the planning phase, projects will see a better technological selection, better analysis, as well as opportunities to reuse code from other projects. Similarly, when it comes to testing, the process will become more rigorous and comprehensive since AI will aid QA engineers. What’s more, with AI assistance, automating deployments will be faster and less prone to error.

One great example is the Accenture myWizard, an exclusive platform which hosts intelligent virtual agents using machine learning to collaborate with human co-workers. Harvard Business Review outlines that with this platform, the AI project manager is already assisting Accenture in delivering projects through correct prediction of red flags a whopping 80% of the time.

Programmers are already getting help from AI

AI is already assisting programmers. For instance, DeepCode is already making use of machine learning in assessing and cleaning up existing code. Experts hail it as the Grammarly’ of code! Similar to how grammar and spelling checkers haven’t wiped out editors and proof-readers, AI is also working to aid programmers.

What’s more, some other start-ups are taking AI one step ahead. For example, Logojoy is utilizing machine learning to produce simple designs and logos while UIzard is now converting handwritten designs into CSS and HTML.

Will AI replace Programmers?

Although the industry is considerably evolving and the workflow will include more automation in the future, it is unlikely that AI will completely wipe out the need for human programmers any time soon.

Without a doubt, numerous aspects of programming will eventually be automated. However, this won’t necessarily result in job loss.

Automation decreases costs for firms that develop software. How? These firms can effectively generate more software in a relatively shorter time span. With the demand for programs and software increasing significantly, not to mention automation cutting down the overall production costs, it is inevitable that business opportunities will continue to increase.

Work to be better

The takeaway from all this is that we have no reason for cowering in fear of an impending replacement. Instead, it is essential that we shift our focus on the skill sets that are the least automatable.

As programmers, it is essential that we take time to study both traditional programming and machine learning and identify when a particular approach is better suited to a given problem.

Non-technical abilities and skills which are not easy to automate will be the unique factor which distinguishes programmers. Creativity and domain expertise are the elements which will have more significance. Better intelligence and soft skills are also factors which will set engineers apart.

In essence, what would be the best move for programmers is to continue learning and honing their skills. What’s more, programmers should also be more willing and open to the idea of working in tandem with AI in the future.