Last month, Israel’s Central Bureau of Statistics (CBS) released the country’s first comprehensive business survey on the use of Artificial Intelligence. It sheds light on a growing trend that’s reshaping enterprise operations – in Israel and beyond.
The Results
According to the survey, 28% of Israeli businesses have already integrated AI into their workflows. That’s more than double the EU average of 13% (2024), and on par with frontrunners like Sweden and Denmark.
One of the most significant findings? AI is no longer just a back-office efficiency tool. Among companies that use AI, 42% reported using it for routine or technical tasks previously done by employees, and 14% use it for complex, cognitive tasks requiring decision-making.
Is AI Changing the Size of the Workforce?
Despite growing concerns about automation and employment, 89% of businesses said AI had no impact on workforce size. Only 4% reported a reduction in staff, while 5% avoided hiring new employees thanks to AI efficiencies. Interestingly, some service-sector companies (3%) even saw employment growth following AI adoption – pointing to augmentation rather than replacement.
Looking ahead, 28% of businesses expect to adopt AI in the next six months, and nearly another third are considering it. This indicates a strong pipeline of future growth, especially among smaller companies where adoption is still lagging.
What’s Holding Some Companies Back?
At Linnovate, recent meetings with dozens of insurers, HMOs, defense organizations, and banks revealed a recurring theme: significant barriers to adopting AI at scale. Many executives cited a lack of relevant knowledge, along with concerns around reliability, data leakage, and operational risk. These conversations highlight a growing gap in AI awareness and education – one that must be addressed to drive meaningful digital transformation.
From Hype to Practical Implementation
Across recent enterprise discussions, one message is clear: while interest in AI is high, successful implementation remains a major challenge. Many organizations face an overwhelming array of tools – some of them are not yet mature enough for enterprise-grade use. Deep concerns persist around data accuracy, leakage risks, regulatory uncertainty, and AI-driven decisions that lack context or reliability. Enterprises often struggle with the shortage of skilled personnel, unclear ROI, infrastructure costs, and failed pilots – such as large-scale chatbot projects that didn’t meet expectations.
At Linnovate, we help organizations move from AI experimentation to practical, long-term implementation. Our approach emphasizes security, on-premise deployment when needed, and alignment with each organization’s specific operational context – including internal data structures, processes, and constraints. Rather than aiming to replace human expertise, we focus on integrating AI in ways that support decision-making, improve efficiency, and address concerns around data governance, reliability, and organizational fit.
Want to see what Linnovate AI can do for your business? Reach out to us.