Why the next technology conversation shouldn't start with AI

Today's technological discourse is often dominated by artificial intelligence (AI), but the most fruitful discussions I engage with within the tech community typically begin with a business challenge. These challenges prompt the conversation around AI, such as modernizing infrastructure, enhancing security, preparing the organization for AI without starting from scratch, or determining how AI fits within existing investments.

Business challenges are the catalysts that lead to a broader understanding: AI initiatives rely on cloud readiness, cloud strategy impacts cybersecurity, and identity, governance, and data management form the backbone of it all. While these elements may appear as separate components, they form an interconnected system. This interconnection is a significant shift in how organizations approach technology investments and the partners who guide them.

The conversation surrounding AI has progressed beyond mere speculation and is now focused on successful implementation. According to the fourth annual Direction of Technology Report, a survey of over 1,400 IT solution providers across 40 countries, nearly 75% of partners consider AI essential for their future. However, this report also reveals that the conversation has expanded to encompass services, specialization, cybersecurity, and automation as key capabilities that will set them apart in the years to come.

This shift signifies that the conversation is about building an environment where technologies work together to solve real business challenges, not just adopting the next technology.

AI adoption is accelerating, but organizations quickly realize that successful AI initiatives depend on more than just selecting the right model or platform. They need secure infrastructure, trusted data, governance, integration, and the expertise to bring these components together. The market data supports this view. Global AI spending is expected to surpass $2 trillion by 2026, while global public cloud spending is projected to exceed $1 trillion.

Cybersecurity spending is also anticipated to continue its rapid growth, all of which are expanding together. Organizations recognize that these investments reinforce each other.

This indicates that the conversation is maturing. The question is no longer, "Where do we start with AI?" but rather, "How do we build the right foundation to make AI successful?" This requires a different approach from everyone in the technology ecosystem. Customers are no longer seeking another AI demonstration, but rather answers to implementation questions such as how AI integrates with their existing technology investments, its impact on their security posture and governance, and how it can enhance productivity without adding unnecessary complexity.

As technology continues to evolve, it is the way the industry is organizing itself around the harder work of implementation that gives me confidence. No single vendor, provider, or advisor holds all the answers. Interconnected environments demand a combined expertise approach, where organizations weigh infrastructure, security, data, and services together rather than in isolation.

Success is increasingly defined by how well these technologies operate as one system in service of a business outcome, rather than the number of technologies an organization can deploy. This holistic approach will ultimately determine who reaps the benefits of AI tools.