Gartner: Starting in 2028, AI will create more jobs than it eliminates
Gartner forecasts that from 2028, AI will create more jobs than it eliminates. Employers will need reliable talent pools, and the way employee value is assessed will be reconsidered. Although the labor market is currently under pressure from automation, the long-term trend is positive.
AI-processed from 3DNews AI; edited by Hamidun News
Gartner predicts that starting from 2028, artificial intelligence will create more jobs than it eliminates. This is a turning point when the economy fully adapts to new technologies and begins to reap the benefits of investments in AI.
The Pivotal Year 2028
Currently, the picture looks alarming. A wave of automation is displacing people from routine positions — especially in data processing, information dissemination, and simple operational tasks. Reports of layoffs in tech companies are becoming increasingly frequent.
But analysts are confident that this is a temporary phenomenon. In approximately three years, according to Gartner, the effect will reverse. Companies will need personnel to manage AI systems, maintain them, integrate them into existing processes, and ensure quality control of results.
New professions will begin to offset the loss of old ones, and the overall number of jobs will start to grow. This assumes that the industry will have time to retrain employees and that demand for new competencies will indeed form quickly enough. Gartner believes in both premises.
What Jobs Will Emerge
AI will not simply eliminate roles — it will fundamentally transform the employment ecosystem. New professions will be closely tied to technology management and maintenance:
- AI operators and managers — specialists who train models, calibrate their behavior, and control quality
- Systems integrators — people who connect AI to existing corporate software and processes
- Ethics and auditors — verify the fairness, bias, and correctness of algorithmic decisions
- Outcomes specialists — work alongside AI tools, refine solutions, and guarantee quality
- Retraining specialists — will retrain people from eliminated professions in new skills
These are not marginal positions in experimental laboratories — these are new employment centers.
Reassessment of Human Value
But Gartner's main conclusion is not about the number of positions, but about how to count and assess them. Companies are reassessing the very concept of "employee value." If previously speed of data processing and volume of work were valued, now everything is different.
Employers will need people with critical thinking, adaptability, and the ability to make decisions under uncertainty. AI can generate options, but a human must choose the right one — and take responsibility for the choice. This transition has already begun, but will fully take root by 2028.
The paradox is that human resources become more expensive due to their scarcity. Companies will need reliable staffing reserves because demand for retrained specialists will be much higher than supply.
What This Means
Gartner's forecast provides a perspective not of despair, but of transformation. AI will eliminate some professions, but create new ones — and the overall effect will be positive if the economy manages to adapt in time.
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Key Questions Answered
What are the key details on The Pivotal Year 2028?
Currently, the picture looks alarming. A wave of automation is displacing people from routine positions — especially in data processing, information dissemination, and simple operational tasks. Reports of layoffs in tech companies are becoming increasingly frequent. But analysts are confident that this is a temporary phenomenon. In approximately three years, according to Gartner, the effect will reverse. Companies will need personnel to manage AI systems, maintain them, integrate them into existing processes, and ensure quality control of results. New professions will begin
What Jobs Will Emerge?
AI will not simply eliminate roles — it will fundamentally transform the employment ecosystem. New professions will be closely tied to technology management and maintenance: AI operators and managers — specialists who train models, calibrate their behavior, and control quality Systems integrators — people who connect AI to existing corporate software and processes Ethics and auditors — verify the fairness, bias, and correctness of algorithmic decisions Outcomes specialists — work alongside AI tools, refine solutions, and guarantee quality Retraining specialists — will retra
What are the key details on Reassessment of Human Value?
But Gartner's main conclusion is not about the number of positions, but about how to count and assess them. Companies are reassessing the very concept of "employee value." If previously speed of data processing and volume of work were valued, now everything is different. Employers will need people with critical thinking, adaptability, and the ability to make decisions under uncertainty. AI can generate options, but a human must choose the right one — and take responsibility for the choice. This transition has already begun, but will fully take root by 2028. The paradox is t
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