Artificial intelligence will increasingly influence our work processes and everyday life. 20 predictions for the development of neural networks and everything related to them from expert Alexander Krakovetsky
The rapid development and acceptance of ChatGPT and similar generative AI tools have already impacted our workflows. Should we seriously fear that algorithms could leave us out of work? Alexander Krakovetsky, CEO of IT company DevRain, co-founder and CTO of blood donor search platform DonorUA, as well as a supporter of artificial intelligence and author of the book “ChatGPT, DALL-E, Midjourney: How Generative Artificial Intelligence is Changing the World”, shares his opinion on this issue with HBJ online edition.
1. AI will not replace developers
AI algorithms will undoubtedly make routine tasks easier and generate many generic solutions (e.g., e-commerce websites). However, at the same time, the technical complexity of products will increase, requiring a deep understanding of the architecture and a transition to a new stage of software development.
The development of AI will form a large-scale market, and software created over the last 10-30 years will adapt to new technologies to integrate with AI.
2. DevOps will remain in demand
With the increasing complexity of infrastructures – including microservices, cloud technologies, and containerization – the need for architecture-savvy professionals will only increase. DevOps engineers will remain relevant, and perhaps even more in demand.
New fields such as MLOps are already being developed to manage the lifecycle of AI-based solutions, and FinOps optimizes spending on cloud services. In the future, *Ops professionals will find many new opportunities for themselves.
3. Technical writers, QA specialists and plugin developers may gain new risks due to automation
Generative AI is able to quickly create documentation, test scripts and simple code modules.
However, this does not mean the disappearance of these professions. Technical writers can transform into enterprise knowledge base architects, and QA specialists can move from manual testing to developing advanced automated scripts, increasing their value. In addition, there will be demand for testing AI systems, opening up a significant new market.
4. SEO will enter a new era of development
Search engines are already implementing generative search, which creates ready-made answers instead of the usual list of links. This will change the approach to SEO: optimization will focus on creating meaningful, structured knowledge bases for AI.
Search engine rankings are still important for now, but in the long term it is possible that ranking will be abandoned altogether, replaced by alternative approaches to indexing. Google may not welcome such a change, but search evolves inevitably.
5. Basic knowledge of AI and data will become mandatory
These skills will enable professionals from different fields to better understand technology, make informed decisions, and use AI tools more effectively. Those who fail to acquire such competencies risk losing competitiveness in the labor market.
6. Managers will learn the basics of machine learning, and employees will learn how to improve business processes using low-code tools
Middle managers will master the basic principles of machine learning. Of course, this doesn’t mean turning them into data scientists, but even basic knowledge will help them make faster decisions using AI capabilities without turning to outside experts. Employees will be expected to be able to work with automation tools that require only minimal programming skills.
7. Organizations will build their own data platforms as a foundation for digital transformation
Companies will start building internal data warehouses or surrounding ecosystems like OneLake. This infrastructure will become a key element of analytics, strategic planning, and AI model training.
This will lead to a profound digital transformation where data becomes the “lifeblood” of the company and AI becomes its “intelligence”.
8. Meeting logging tools will become the norm
Services already exist that analyze meetings and automatically create meeting summaries. Soon, these capabilities will become standard features of video conferencing platforms (e.g., Zoom already offers AI Companion for notes and recently introduced the Docs add-on). Organizations will be able to receive meeting results immediately, speeding up decision-making.
New, more sophisticated features will incentivize the search for innovative approaches.
9. Video courses with digital avatars and synthesized voice will become a common format
Today, creating video content with avatars and voice-overs via AI is costly, but as technology advances, it will become more affordable.
Educational platforms will be able to easily scale the production of content, freeing teachers to script and develop educational programs.
10. Distinguishing AI content from human-generated content will become more difficult
Generative models will reach a point where text, images, and then video content created by AI will be indistinguishable from human creations. A new point of no return is emerging in the practical assessment of authorship and originality.
Inclusion in the new reality will be a challenge not only for artists, but also for lawyers, educators and politicians.
11. Fundamental education and mentoring will be especially valuable
In an era where AI is generating vast amounts of content ( including misinformation ), the importance of basic education will increase significantly. Knowledge of theories, principles, and methods will prove to be extremely important.
Mentors and lecturers who can explain complex ideas in an accessible way and provide quality support will be indispensable.
12. AI will start to offer original ideas
We are approaching a time when AI systems will be able to generate new concepts, find out-of-the-box solutions and build hypotheses based on data.
This will open up new horizons for fields such as medicine, engineering and science and accelerate the pace of innovation.
13. Policies are adapting to the use of AI
Political organizations will implement their AI models customized to their values and perspectives. Each party will be able to train AI on specific data, taking election campaigns to the next level.
These personalized models could strongly influence politics and public opinion, creating new challenges.
14. Trustworthy databases will become a major resource
In a world where it is becoming increasingly difficult to discern authentic information, trusted data sources will become essential. Such databases will become the basis for training artificial intelligence and creating scientific solutions.
Companies will begin to invest heavily in maintaining trusted data repositories, which will give them an edge.
15. Startups will face new challenges
With AI, the cost of replicating product functionality will drop rapidly, which will create new challenges: competitors will be able to quickly copy your ideas.
To stand out, startups will have to rely on exclusive data, unique expertise or their own innovative AI models.
16. Querying skills will become essential
Query engineering will become as essential as working with Excel once was. The ability to interact effectively with AI models will become critical.
17. Businesses will need time to adapt
Innovative businesses will adopt AI faster, while most organizations will continue to follow familiar methods. This delay can lead to the need to react quickly to catch up with the market.
18. Training employees on AI will be a key success factor
More and more companies will devote resources to training professionals to use AI effectively. This will be an important element to remain competitive.
Competent professionals who can work with AI will become strategic capital for businesses.
19. Effective use of AI will accelerate the growth of organizations
Using technology without a clear strategy can be frustrating. However, firms that implement AI thoughtfully and ethically will make tremendous gains. For companies with aligned processes, clear goals, and a willingness to change, AI will be a lever for growth.
20. Universities can play a key role in the development of education
Universities have the opportunity to provide the knowledge needed to operate effectively in a rapidly changing landscape. They can once again become centers for business training and innovation.
Private initiatives cannot fully meet the need for fundamental education, so universities must harness the potential of the AI sector for the sustainable progress of society.