- Gartner finds that most companies use supervised AI, not fully autonomous agents
- The dismissals induced by AI are probably only cost reduction efforts
- The changes observed from AI are not different from previous changes
Despite media threshing, many IT leaders avoid fully autonomous agents and stand out for supervised AI deployments, new research said.
Gartner’s research has revealed that only 15% envisage, piloting or deploying fully autonomous agents, compared to around 75% for all types of AI agents.
Early concerns on AI could replace human workers seem to have been more or less denied, with only 7% strongly suited that agentic AI will replace humans over the next two to four years.
AI agents are not there to take your work
Almost twice as (12%) see them instead of replacing the workplace applications, indicating a new way of working and interacting with the data.
However, in an increasingly connected world where we hear about new cyber attacks daily, three -quarters (74%) have noted concerns that AI simply provides a new vector of attack. Half (53%) also said that, although significant productivity gains can be unlocked, they do not expect really transformer gains.
However, workers’ concerns about employment safety are not unjustified. Lufthansa and Salesforce are both committed to cutting around 4,000 workers each because of the AI, but a separate study by Yale questions the story and affirms that the evidence in fact suggests that these workforce reductions are more a cost control problem.
“Overall, our measures indicate that the wider labor market has not experienced a noticeable disturbance since the release of Chatgpt,” conclude Yale researchers.
The study recognized that previous technological disturbances occurred over the decades, but AI has shortened this to “months or years”, which amplified change and therefore discomfort in workers.
However, “no substantial acceleration of the change rate in the composition of the labor market” has not been since the public launch of Openai publicly, and the 1940s and 1950s still hold the fastest changes in changes.
Overall, Yale called on the anxiety of “speculative” employment and lacking convincing evidence, noting that the effects of AI on work will not be different from previous technological and industrial changes.
