Work Society
Artificial Intelligence Enhances Project Management but Threatens to Blur Human Judgment
Artificial intelligence is beginning to transform project management in a way that both shortens schedules and opens up new types of risks, according to a recent review. The study examined how AI is used in project forecasting, scheduling, and risk management.
The authors compiled peer-reviewed research published between 2019 and 2024 from several international databases, including Scopus and Web of Science platforms, as well as health and care sector databases. The material was screened using predefined search and quality criteria, ensuring that only studies addressing the concrete utilization of AI in project management were included.
According to the review, AI seems to particularly improve cost and time management. Predictive analytics help assess budgets and schedules more accurately, and intelligent resource allocation directs workforce and materials to where they are most needed at any given time. Additionally, automated workflows can reduce manual routine work and speed up decision-making.
However, these same features bring significant societal and technical challenges. AI systems' decision-making can be distorted by algorithmic bias, meaning the model learns from previous inequitable practices. The computation behind decisions is often opaque, making it difficult to assess why a particular solution is reached.
The study also highlights concerns related to data security and privacy, high implementation and lifecycle costs, and a skills gap: organizations often lack sufficient understanding of AI implementation and oversight. A particular risk is that people may begin to rely too much on tools, weakening their professional judgment if systems are not questioned.
The authors describe the relationship between AI and project management as a whole, where efficiency benefits and socio-technical risks inevitably go hand in hand.
Source: Evaluating AI competency in project management: benefits and challenges, AI & SOCIETY.
The authors compiled peer-reviewed research published between 2019 and 2024 from several international databases, including Scopus and Web of Science platforms, as well as health and care sector databases. The material was screened using predefined search and quality criteria, ensuring that only studies addressing the concrete utilization of AI in project management were included.
According to the review, AI seems to particularly improve cost and time management. Predictive analytics help assess budgets and schedules more accurately, and intelligent resource allocation directs workforce and materials to where they are most needed at any given time. Additionally, automated workflows can reduce manual routine work and speed up decision-making.
However, these same features bring significant societal and technical challenges. AI systems' decision-making can be distorted by algorithmic bias, meaning the model learns from previous inequitable practices. The computation behind decisions is often opaque, making it difficult to assess why a particular solution is reached.
The study also highlights concerns related to data security and privacy, high implementation and lifecycle costs, and a skills gap: organizations often lack sufficient understanding of AI implementation and oversight. A particular risk is that people may begin to rely too much on tools, weakening their professional judgment if systems are not questioned.
The authors describe the relationship between AI and project management as a whole, where efficiency benefits and socio-technical risks inevitably go hand in hand.
Source: Evaluating AI competency in project management: benefits and challenges, AI & SOCIETY.
This text was generated with AI assistance and may contain errors. Please verify details from the original source.
Original research: Evaluating AI competency in project management: benefits and challenges
Publisher: AI & SOCIETY
Authors: Omobolanle Olatoye, Efenwengbe Nicholas Aminaho
December 24, 2025
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