AI isn’t only for enterprises; it’s time for SMBs to cash in

The tech industry is currently wrapped up in concerns over AI spend.

Headlines are increasingly dominated by questions about whether organizations are investing too much, moving too quickly and struggling to generate meaningful returns from AI initiatives.

If corporate behemoths and tech specialists are finding it difficult, how can small and medium-sized businesses ( SMBs ) hope to keep up? A key focus in this debate is how to realize return on investment (ROI) from AI.

Global corporations are investing heavily in the technology, but many are yet to see that investment translate into bottom-line impact.

Much of this debate, however, centers on large organizations with the scale to invest heavily in experimentation and transformation programs.

The AI ROI dilemma is different for small businesses .

AI can be complex and the offerings are changing rapidly; most SMBs don’t have the resources to properly assess and devise a strategy.

For enterprises, they have whole departments dedicated to this.

While enterprises are large enough to absorb a lot of the cost of experimentation, small businesses don’t have the budget to invest in AI, particularly if it doesn’t result in clear material improvements.

SMBs stuck with surface-level AI Similar to enterprises, SMBs are on a journey with AI, investing in new tools or AI extensions within their current technology stack but often struggling to move beyond experimentation and translate adoption into commercial impact.

The difference between deploying AI tools on the surface and full integration is a restructuring of workflows, data infrastructures and governance frameworks that most SMBs are not ready to undertake.

Rising software costs, governance requirements and the need for employee training all make it harder to realize value quickly, particularly for smaller businesses with less capacity to absorb these additional investments.

The applicability illusion However, while some SMBs may be sitting on the sidelines of AI because of tight budgets or because they lack access to resources, many are hesitant to move beyond experimentation because they are unsure whether AI can deliver meaningful value within their business.

For these small businesses, it can be difficult to see how AI applies to their specific business challenges.