- Gartner finds that most companies are using supervised, not totally autonomous agents.
- AIS induced layoffs are probably just cost reduction efforts
- The changes that are seen from AI are not different from the above changes
Despite the exaggeration, many IT leaders avoid totally autonomous agents and adhere to the deployments of the supervised, as stated by new investigation.
Gartner’s investigation found that only 15% are considering, driving or deploying totally autonomous agents, compared to around 75% for all types of AI agents.
The first concerns of AI could replace human workers seem to have been more or less denied, with only 7% agree that the agent will replace humans in the next two or four years.
AI agents are not here to take their job
Almost double (12%) we see them replacing applications in the workplace, indicating a new way of working and interacting with the data.
However, in an increasingly connected world where we listen to the new cyber attacks daily, the three quarters (74%) observed concerns that AI only provides a new attack vector. Half (53%) also said that, although significant productivity gains could be unlocked, they do not expect truly transformative profits.
However, workers ‘workers’ concerns are not unjustified. Lufthansa and Salesforce have committed to cut around 4,000 workers each due to AI, but a separate Yale study challenges the narrative and states that the evidence actually suggests that these personnel reductions are a cost control problem.
“In general, our metrics indicate that the broader labor market has not experienced a discernible interruption since the launch of Chatgpt,” Yale researchers conclude.
The study acknowledged that previous technological interruptions occurred for decades, but AI has shortened it “months or years”, which has amplified change and, therefore, is deactivated among workers.
Even so, “it has not accelerated substantial in the exchange rate in the composition of the labor market” since then from Operai publicly launched Chatgpt, and the decades of 1940 and 1950 still have the record of the fastest changes.
In general, Yale called “speculative” labor anxiety and lacked any convincing evidence, noting that the effects of AI on work will not be different from previous technological and industrial changes.
