Over half of professionals are so annoyed by AI trainings they say it feels like a second job, LinkedIn survey finds
More than half of the professionals report that artificial intelligence exercises appear to be a second job, according to a recently performed survey in LinkedIn, highlighting the widespread frustration between workers with the spread of automation programs in the workplace.
The majority of the respondents (51 %) expressed irritation with the intensity and frequency of the requirements of artificial intelligence, saying that it interferes with their basic job responsibilities and contributing to exhaustion. Employees were martyred in dense training units, unrealistic final dates, and lack of clarity on practical benefits as main sources of dissatisfaction.
LinkedIn has found an 82 % increase in people who are published on the platform about the feeling of exhaustion and change this year. “Upskill’s escalating pressure in artificial intelligence raises insecurity between professionals at work – with a third (33 %) recognition that they feel embarrassed by their lack of understanding, and 35 %, saying they are tension about talking about artificial intelligence at work for fear of sounding not familiar.”
The effect of the workplace
These results come at a time when employers increase investment in advanced efforts designed to help employees adapt to new artificial intelligence -based operations. Instead of feeling empowering, many professionals say that these exercises add tension and extend their working hours, often without additional compensation or real improvements to the workflow.
There are real consequences for this and anecdotal evidence that rational workers feel insecure. The CEO of Ignitetech Eric Vauughan said luck Earlier this month, he delivered nearly 80 % of his employees after they failed to respond to artificial intelligence training, while Joshua Wall from Minston quoted a similar story about a client/CEO who ordered his employees to devote all Fridays to re -train, and invited them to leave the company if they did not have a constructive report on their results.
The survey also found that, amid the flooding of content and prosecution programs, professionals are increasingly turning into their networks-from the resources of official companies or search engines-to obtain trusted advice and support in moving in the change place changes. “Their network, the people who know, are still their first source of advice at work,” says about 43 % of professionals. Nearly two -thirds of (64 %) of professionals says colleagues help them make decisions faster and more confident.
Installation of frustration with mandatory artificial intelligence exercises may be just a tip of the iceberg. A recent study of the Massachusetts Institute of Technology has found that 95 % of artificial intelligence pilots in institutions have failed to achieve any measurable return on investment – which raises increasing concerns about the artificial intelligence stock bubble as spending on companies and investor noise exceeds significant results. It appears to be associated with this frustration on the ineffective or struggling artificial intelligence training efforts.
Results of the Massachusetts Institute for Flash Technology
The MIT Nanda report analyzed hundreds of artificial intelligence spread and only 5 % have produced a rapid acceleration in revenue or noticeable operational improvements. The majority of pilots in the test phase are disrupted or abandoned, as large companies take nearly a year to expand the range of projects that rarely succeed. The integration of defective institutions and gap in literacy was cited Amnesty International – and not just typical quality – as the main barriers.
Wall Street and stimulant institutional investors are concerned, and they are concerned that Amnesty International’s investments do not translate into profits and can lead to a painful account of exaggerated technology shares. Some have begun to reduce exposure, for fear that the gap between reality and noise would be unnecessary, and reminded us of previous technology bubbles. On Wednesday, NVIDIA profits show tension, as record revenues still failed to prevent investors from obtaining a few percentage points of shares.
Communications for workforce concerns
While companies pour money in artificial intelligence pilots and technology shares, employees are increasingly skeptical of both the value of work and the continuous height requirements. With more than half of the professionals who say artificial intelligence training feels a second job, the Massachusetts Institute of Technology report adds a new context: Paying aggressive companies for digital transformation stretches workers, and has not yet increased them, as shown on a large scale.
The results emphasize the strain of installation between the pace of technological implementation and the live experience of professionals, which indicates that companies may need to rethink their approach to artificial intelligence to avoid more employees.
For this story, luck The artificial intelligence is used to help with a preliminary draft. Check an editor of the accuracy of the information before publishing.
2025-08-28 17:15:00
