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Gartner thinks these four trends will shape the future of work — so what will they mean for you?

Gartner says humans and institutional knowledge are vital, but they still need to adapt to work alongside AI.

Gartner thinks these four trends will shape the future of work — so what will they mean for you?

A recent study by Gartner predicts four key trends that will shape the future of work. The first trend is the human-AI relationship, where companies are encouraged to view AI as a means of augmentation rather than replacement. This shift requires a cultural change, as workforces must learn to adapt to AI and understand how to work alongside it effectively. Employees will need to continuously develop new skills and adapt to changing roles.

Secondly, Gartner emphasizes the importance of preserving human context, judgment, and meaning in the workplace. The analysts are concerned that AI could inadvertently strip away these essential human traits, leading to potential long-term costs despite short-term savings. Companies must find ways to incorporate human judgment and context into AI-driven processes.

Thirdly, Gartner highlights the need for companies to reinvest in AI rather than simply accepting mediocre gains. Treating AI as a headcount-reduction mechanism can weaken talent pipelines, remove institutional knowledge, and reduce innovation ability. Organizations that continuously reinvest in AI will likely see the best results.

Lastly, the study suggests that AI investments should be seen as a continuous loop, not a one-time action. Companies that view AI as an ongoing process and strive to reshape roles, cross traditional boundaries, and increase workflow velocity will likely gain a competitive advantage. Gartner's VP Analyst, Tori Paulman, notes that the competitive advantage will go to those who build an AI-shaped organization where AI value compounds over time.

Written by urgent.news from TechRadar's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

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