AI Adoption Grows, But SMBs Struggle with Readiness and ROI Amid Platform Inshittification

AI adoption is accelerating among small and mid-sized businesses (SMBs), with 87% of executives believing it will transform their operations within a year. However, only 29% feel their teams are prepared to implement AI effectively. This gap highlights a significant challenge for organizations that have invested in AI without seeing tangible returns. Anurag Agarwal, founder of TechAisle, emphasizes that while there are pockets of ROI in sectors like retail and healthcare, many SMBs struggle with data readiness and understanding their business processes, which hinders effective AI integration.

The conversation also delves into the evolving relationship between vendors and partners, particularly regarding market development funds (MDF). Traditional MDF models are becoming obsolete as partners demand outcome-based funding, training, and co-development opportunities. Research indicates that 83% of MSPs prioritize investments that enhance capabilities and drive customer success. This shift reflects a broader trend where partners seek to align their funding requests with measurable business outcomes rather than activity-based metrics.

Additionally, the episode addresses the concept of “platform inshittification,” where dominant vendors may degrade user experiences to extract more value from partners and customers. This raises concerns for MSPs reliant on these platforms, as they may face risks such as reduced margins or direct competition from vendors. Agarwal advises MSPs to define their value beyond mere access to tools, positioning themselves as business efficiency consultants who can integrate various solutions to meet customer needs.

For MSPs and IT service leaders, the implications are clear: they must enhance their own capabilities in data management and business process understanding to effectively leverage AI. Furthermore, as vendors shift towards outcome-based funding models, MSPs should prepare to present clear business plans that demonstrate how investments will lead to measurable results. This proactive approach will be essential for maintaining competitive advantage in a rapidly evolving technology landscape.

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