Accenture layoffs: 11,000 jobs lost to AI, more cuts coming soon? Here’s what company said
Accenture Dispensed: Accenture said he had dismissed more than 11,000 employees throughout the global labor force.
Over the last three months, more than 11,000 Accenture workers have lost their work in the midst of the company’s AI.
CT Consulting firm, due to the federal expenditure handcuffs thanks to the stagnant corporate demand expects a slower growth for the year, seized a $ 865 million reconstruction program.
“We can get more than the skills we need, üzerinde he said, on a call to CEO Julie Sweet, on a call.
The restructuring program primarily includes severance pay costs associated with this talent strategy.
Sweets, based on our experiences, we are leaving a compressed time schedule, where reproduction is not a suitable way for the skills we need, ”Sweets said.
At the end of August, Accenture fell approximately 11,000 people, compared to three months before the number of employees in the company was 7.91,000.
The company said that the dismissal that began earlier this year would continue until November.
As a result of the six -month program, Accenture is waiting to save over one billion dollars. Bloomberg also plans to educate its employees as an artificial intelligence as the consulting giant pushes the customer demand in the region.
Sweet told Bloomberg TV to coach the foundation on the foundations of technology this month.
Accenture Q4 Results
The ITS consulting firm Accenture reported a 7 % increase in income in June-August 2025 quarter.
Accenture follows the September-September financial year.
The company said in a statement that revenues reflect the effect of an external change of approximately 2.5 percent.
“I am very pleased with the growth of 7 percent in Mali 2025, they show our ability to offer our help in order to re -invented and lead our customers with AI. Customers continue to re -invention to create value and increase the financial results and business results, prepare the data and develop the process of helping to improve the data and to improve the process. They train.
