- Three out of five organizations adopt Genai faster than workers are satisfied with
- 66% of leaders say it is an important step to take risks by adopting AI
- Few workers actually need retraining or re -school
IBM’s latest research supports the notion that companies are switching from AI experimentation to implementation, with two out of three (65%) UK & Ireland’s CEOs actively adopting AI agents on scale.
However, growth could be an abuse container, with 58% pushing their organizations to adopt Genai faster than some are comfortable with.
However, it is a difficult to balance, with many leaders who believe in their organizations’ competitive advantage, can rely on how they are approaching artificial intelligence.
Organizations all go on AI
Two -thirds (66%) say they need to take more risks than their competitors to stay ahead, with almost as many (62%) who admit to investing in technology before fully understanding its value, just to avoid falling afterwards. Another 64% of the 2,000 CEOs who have been investigated from 33 countries believe that the productivity gains they could unlock AI justify the potentially significant risks.
The success of generative AI has spurred on a whole new era with Agent AI-Proactive non-human agents are said to be very effective in decision making, delivery of predictable insight and other automation and productivity measurements across HR, financing, IT and customer service in particular.
“As expectations around AI are switching against competitive advantage and quantifiable ROI, CEOs embrace risk as an opportunity to run business performance,” said IBM Consulting’s UK & I Managing Partner Rahul Kalia.
While speed is important – both in terms of adoption rates and AI evil – IBM says that companies should also emphasize trust by using explainable AI models, forming strong data protection and security principles and adhering to ethical guidelines.
However, AIS effects on the workforce may not be as drastic as some had previously expected. Only 30% of the current workforce requires retraining or re -schooling for the next three years, CEOs said.
Dun & Bradstreet’s UK & I CEO, Edgar Randall, added: “Organizations that build responsible AI practices from the start, based on solid data strategies and ethical use, will be best placed to increase productivity, make smarter decisions and maintain growth.”
