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Work in IT: how artificial intelligence is changing the industry

ChatGPT, when asked about how artificial intelligence (AI) is used in IT team work, replies wisely that it is only a tool that supports work and does not replace people. The IT team still plays a key role in managing, configuring and maintaining IT systems, and AI is used to increase efficiency, shorten response times and improve service quality. However, there is no doubt that the development of artificial intelligence will change and is already changing the work of IT teams as well as their role. It also raises many questions about intellectual property rights.

Artificial intelligence affects the way we live, work and communicate with each other, so it is not surprising that it also affects the rules of the game in the IT industry. Many tasks that once required human intelligence and skills can now be automated, which has led some juniors to start wondering about job security and the future of their careers. Are they right? Although the answer to this question is not clear at this point, it is already known that artificial intelligence plays a significant role in programming.

AI shuffles the IT market

Although the demand for technology professionals is not decreasing, companies are now focusing on more independent people with more experience in recruitment. The number of job offers for juniors has even fallen by 30% compared to last year, and this is partly due to the impact of artificial intelligence. More and more companies are also looking for people for positions related to this area of IT, such as AI Developer or Machine Learning Engineer, and the necessary requirements are Python, SQL, GIT or Spark. AI experts can count on exceptionally high salaries, even for the IT industry, which are constantly growing from year to year. According to data from Awareson, AI is currently the second most popular career path in the IT industry.

It is important to remember that artificial intelligence and machine learning are constantly developing and covering more and more areas of the labor market. In the future, they may completely dominate some industries. E-commerce, for example, will be able to cope to some extent by using low-code and no-code solutions. However, where complex solutions, a deep understanding of business and its translation into technology are needed, the demand for IT professionals will grow. This includes the payment and financial industries.

In the coming years, as AI develops, the value of a design approach will also increase in companies and IT teams. Recruiters will appreciate soft skills to an even greater extent, such as communication skills or the translation of technology into business. It is worth noting that companies are already more willing to hire people who work well in a team. It is no longer enough to be just a great technical specialist.

The future of AI in IT, or what awaits programmers

Artificial intelligence opens up new creative and innovative possibilities for programmers, giving them technologies to explore areas such as machine learning or data analysis. They have access to tools and frameworks that will significantly speed up the software development process, such as automated testing, code optimization, error detection and bug fix suggestions. IT teams will therefore create increasingly advanced AI-based programs, such as recommendation systems or self-learning algorithms. AI will help in the analysis of huge amounts of data, pattern detection and extraction of relevant information, which in turn will allow for better programming decisions.

Although it is unlikely that artificial intelligence will replace programmers entirely, it is already having an increasing impact on their job market. For example, AI is predicted to be capable of creating new programming techniques and languages, potentially leading to the emergence of new types of positions. As a result, programmers will need additional skills and specialized knowledge to adapt.

On one hand, AI will automate many tasks of programmers, such as generating code templates or debugging, but on the other hand, programmers will be able to learn new languages developed by AI more quickly. They will also be able to supervise and manage systems used in software development, thereby enhancing their qualifications. IT specialists will likely take on the role of advisors for AI-based systems, helping with their configuration, development, and maintenance, while ensuring high quality and security.

Daily tasks with AI support

Artificial intelligence already aids programmers in their work by reducing the number of errors and improving productivity. One commonly used tool is ChatGPT, created by OpenAI. One way programmers utilize this advanced language model for coding is by receiving real-time code suggestions. When a programmer is writing Python code, ChatGPT can predict the next words or symbols, as well as assist in debugging. If the programmer encounters an error, they can describe it to ChatGPT, which will suggest potential solutions or provide insights into the problem’s cause, such as checking syntax, structure, or used libraries. The chatbot can also help in understanding unfamiliar code structures.

However, programmers using ChatGPT and another OpenAI tool called GitHub Copilot, which facilitates code preparation, must also display creativity, as AI may propose things that have already been created or their average outcomes. ChatGPT also has limitations, such as code length. Currently, it can see and generate text sequences up to 4096 tokens, where a token is a combination of 3-4 characters. Thus, it is not possible to paste an entire project. The code generated by AI needs to be checked because the proposed solutions are not always optimal, and this is where the role and experience of the programmer are indispensable.

Programmers also utilize artificial intelligence for natural language processing (NLP) tasks, such as developing chatbots and virtual assistants for user interactions. NLP can be applied to sentiment analysis on textual data, like customer reviews or social media posts, to gain insight into consumer preferences.

Artificial intelligence and machine learning algorithms also assist in programming computers to scan programs for errors and fix them before deployment. One example of an AI-based debugging tool is DeepCode, which uses machine learning to analyze code and identify potential syntax errors, logical flaws, or performance issues. It can analyze code in a wide range of programming languages.

It’s essential to be aware that working with artificial intelligence carries certain risks. It’s crucial to ensure that data uploaded, for example, to ChatGPT, is not sensitive or confidential. OpenAI does not offer a business license that guarantees privacy, so caution is needed to avoid disclosing sensitive company data and causing problems for oneself or the employer.

Artificial Intelligence and Intellectual Property

With the rapid development of artificial intelligence systems, the issue of who holds the copyrights to programs written by AI and whether it has any rights at all is increasingly being raised. Legislators worldwide are contemplating how to regulate this set of processes, which primarily serves as a business tool, generating substantial profits for companies that use it for coding or improving their efficiency. The problem lies in the fact that AI needs to consume vast amounts of data for learning, which goes beyond any control.

At the end of June, a request from a group of anonymous copyright owners was filed with a court in California, demanding a commercial suspension of the use of OpenAI’s chat. Microsoft was also named as a defendant. This is not the first time these companies have been accused of stealing a massive amount of data and profiting from open-source code to train their AI systems. In a lawsuit from January of this year, it was claimed that the Copilot software was trained from code in GitHub repositories.

In our region, we are currently observing what is happening in this field across the ocean. Neither EU nor Polish regulations explicitly prohibit AI authorship, but works created by AI are not subject to copyright protection. Judgments of the Court of Justice of the EU indicate that only humans can be authors in the Union.

The Intelligent Future of Companies

At present, AI helps IT teams automate and understand many processes, but it will not make final decisions. The knowledge of how a particular code may function remains the domain of humans. In many ways, artificial intelligence currently functions as a complement, rather than a replacement, for IT departments.

Not too long ago, many feared that autonomous cars would replace all truck drivers. We now know that this won’t happen because technology will never handle all driving conditions as well as human drivers. The IT industry will likely see a similar scenario. Currently, there are no tools available that can write documentation or tests on their own, but with the application of artificial intelligence in daily work, these tasks can be significantly accelerated and simplified.

 

 

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