FUTURE TECHNOLOGY
How AI will enable and disrupt enterprises in 2025
Top executives from Cisco , SandboxAQ , F5 , eToro , Protegrity , share their perspectives on how AI will benefit , disrupt and challenge enterprises in 2025 including how to adapt to the growing regulatory landscape , domination of NVIDIA , Arm , TSMC , arrival of Large Quantitative Models and agentic AI , and why AI readiness declined in 2024 with the downside of AI and APIs .
As we enter 2025 , the global economic landscape remains a mix of challenges and potential shifts that will shape markets and industries worldwide . From high interest rates to the evolving impact of AI , there are several key factors that will define the year ahead . While there will be friction in some areas , persistence , agility and out-of-the-box thinking will ensure a competitive edge .
In 2025 , Europe and the UK will see a slow recovery , hampered by high interest rates and weak demand . The US may get a short-term boost under the Trump presidency , but rising debt and global trade tensions remain major risks .
Where AI is concerned , 2025 is a turning point and by the end of the decade , AI is set to become a powerhouse for real productivity gains . With challenge comes opportunity and by focusing on efficiency , smart investments , and embracing new technologies , businesses can expect to grow . However , rapid AI expansion brings a set of complex challenges .
AI readiness declined in 2024 with only 13 % companies ready for AI
AI will continue to captivate businesses , promising unprecedented innovation and efficiency , and companies will continue to invest in AI-powered solutions . As AI journeys progress , so too will the understanding that the path is fraught with hurdles .
Despite billions of dollars invested into AI models and AI-powered solutions in 2024 , new data from Cisco ’ s AI Readiness Index shows that AI readiness has declined as now only 13 % of companies are ready to leverage AI-powered technologies to their full potential .
In 2025 organisations will grapple with how best to secure the right level of compute power to meet AI workloads . Companies will need to lean on their strategic partners to identify and prioritise their AI use cases . IT teams will experience increasing pressure to optimise the management , hygiene , which is currently spread across multiple systems and locations .
Many AI-powered tools in use today are based on static rules or datasets . Agentic AI
David Meads , Vice President Middle East , Africa , Türkiye , Romania , and CIS , Cisco differs in that it can continuously learn from user inputs and make decisions with little to no human oversight . Imagine a customer
36 www . intelligenttechchannels . com