Family Businesses Use AI but Often on a Weak Digital Foundation

Deloitte provides a useful counterweight to the cliché that family businesses are automatically behind on AI. In research covering 1,587 family enterprises across 35 countries, the firm says 86 percent are already using AI actively or selectively. That is a large share, and it suggests that pressure on productivity, risk management, and customer relationships is reaching even more traditional ownership structures. The positive story becomes more complicated when foundational readiness is examined. Deloitte reports that 48 percent of these businesses are only moderately or insufficiently invested in the operational technology needed to support them. In plain terms, many firms are already using AI while building on foundations that are not fully strong. That model can deliver quick wins early on, but it usually struggles when management tries to scale results across the enterprise. The research is also practical in how it breaks down outcomes. More than 90 percent of respondents report moderate or significant improvements in efficiency, productivity, decision-making, competitiveness, and risk management. Deloitte also says 68 percent have seen productivity gains and 94 percent believe employees view technology as something that simplifies work. AI is therefore not a decorative trend in this segment. It is producing measurable effects. The most common use cases are process efficiency, risk management, and CRM. That indicates that the value is concentrated in operations and customer-facing work rather than in presentation-level demos. At the same time, 51 percent of respondents view insufficient technology adoption as a moderate or high risk to growth over the next 12 to 24 months. Even companies already using AI understand that without deeper modernization, they may remain stuck halfway. One short remark from Deloitte Private leader Yali Yin captures the mood: AI is no longer experimental but a requirement. That is the right conclusion. For family-owned companies, the challenge is no longer whether to test AI. It is whether they can connect AI to strategy, data, operational technology, and executive accountability. Otherwise they may improve isolated processes without gaining resilience or durable competitive advantage. In 2026, the reality is not that family businesses are just discovering AI. The real question is which of them can turn it from local improvement into an enterprise discipline.

Family Businesses Use AI but Often on a Weak Digital Foundation

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