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The AI Performance Gap Among System Integrators

The AI Performance Gap Among System Integrators

Ninety-one percent of U.S. system integrators have integrated artificial intelligence into their workflows, yet only 15 percent successfully translate that adoption into tangible financial gains. A new benchmark study from Moonnox reveals that the divide lies not in technological volume, but in whether leadership treats AI as a foundational operating model.

The research, which surveyed 500 firms, identifies a stark economic separation between the top tier and the rest of the industry. The 15 percent of companies that center their business strategies around AI are four times more likely to track investment returns accurately and twice as likely to maintain protected margins compared to their peers. These firms leverage AI to overhaul pricing, staffing, and knowledge retention, effectively moving past what Moonnox describes as productivity theater.

Conversely, many firms are caught in what the report calls the Build Trap. More than 25 percent of respondents reported abandoning internal AI development efforts entirely, while an equal portion remains stuck in the process of attempting to construct proprietary capabilities. According to the data, firm size, specific platforms, and raw budgets are secondary to the primary driver: whether executives approach AI as a fundamental shift in business operations or merely a procurement of new software tools.

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