In recent years, artificial intelligence has been a hot topic in business discussions and investment strategies. As we enter 2026, there is a noticeable shift from merely experimenting with AI to implementing it on a larger scale.
The Future of AI: Navigating Through the Noise
As concerns about the potential ‘AI Bubble bursting’ persist due to inflated stock market valuations, the focus for the upcoming year will be on discerning the true value of AI in business operations. Bruce Martin, CEO of Tax Systems, emphasizes the importance of cutting through the hype and adopting AI in a meaningful way that adds genuine value without unnecessary complexity.
Instead of chasing the latest AI models, organizations are urged to take a more thoughtful and disciplined approach. By streamlining operations and providing effective tools for their teams, businesses can emerge stronger from the current AI cycle.
Transitioning from Hype to Tangible Value
Terry Storrar, Managing Director at Leaseweb UK, notes a shift in AI’s trajectory from initial hype to practical growth. In the coming year, businesses will prioritize AI initiatives that drive efficiency and enhance customer engagement, such as applied machine learning and agentic automation.
Companies are strategically pacing their AI investments, ensuring that their systems are flexible enough to withstand financial pressures. This more considered approach to AI adoption involves clear communication, consistent decision-making, and building lasting relationships with customers and partners.
AI in Supply Chains and Manufacturing
AI is no longer limited to pilot projects in supply chains and manufacturing. Simon Bowes, European Corporate Vice-President at Blue Yonder, emphasizes the need to scale AI deployment for improved performance and resilience. By unifying data, connecting processes, and empowering teams with AI-driven insights, organizations can adapt in real-time and deliver seamless customer experiences.
Nicola Kinsella, Chief Strategy Officer at Fluent Commerce, highlights the role of agentic AI in providing the flexibility and scalability needed for global competition. Retailers, for instance, can leverage agentic AI to monitor external factors, predict risks, and take proactive measures to minimize customer impact.
The Growing Importance of Data Storage
With the increasing use of AI in 2026, data storage remains a critical consideration. Carlos Sandoval Castro, IBM Worldwide Tape Offering Manager, advocates for a tiered approach to data storage, integrating tape and other long-term media for deep archiving. This strategy offers cost savings and scalability for managing vast amounts of data.
Enhancing Cybersecurity with AI
Martin Gittins, Area Vice President for North Europe at Commvault, stresses the need for a holistic approach to cybersecurity and data protection in the age of AI. The concept of resilience operations (ResOps) aims to integrate security, identity, and recovery functions across complex AI environments to enhance enterprise resilience.
As AI adoption accelerates, businesses must prioritize implementing effective security measures to safeguard against cyber threats. Laurie Mercer, Senior Director of Solutions Engineering at HackerOne, underscores the importance of deploying AI-based tools for proactive security measures in response to evolving cyber threats.
Preparing for AI Literacy and Collaboration
As AI becomes more integrated into daily workflows, the need for a new tech literacy becomes apparent. Charis Thomas, Chief Product Officer at Aqilla, emphasizes the importance of understanding how to interact with AI thoughtfully rather than relying on it blindly. Developing a collaborative partnership with AI can lead to smarter decision-making and business evolution.
Chris Lloyd, Chief Solutions and Technology Officer at Syspro, highlights the significance of building trust in AI through reliable data and executive support. When leaders view AI as a strategic partner in progress, businesses can leverage technology to drive innovation and growth.
As we approach 2026, the future of AI lies in credibility, control, and tangible outcomes rather than grand promises and rapid implementation. By embracing AI thoughtfully and strategically, businesses can navigate the evolving landscape of artificial intelligence with confidence and success.
