Rethinking AI: The Shift from Possibility to Practicality
- team82847
- May 12
- 1 min read
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In today’s fast-moving AI landscape, the hype is no longer enough. While interest in artificial intelligence is surging, the gap between curiosity and meaningful implementation is widening. According to a recent McKinsey report, only 10% of AI proof of concepts reached production last year, revealing a critical disconnect. Max Nirenberg, Global CRO and Managing Director at Commit USA, highlights the problem: “Many organizations explore AI without a clear plan to deliver ROI.” Instead of rushing toward technology, Commit advocates a product-first strategy—rooted in business understanding, data readiness, and measurable outcomes. The result? A Gen AI deployment success rate is six times higher than the market average, and it is recognized as one of the first AWS partners to achieve Generative AI Competency.
This shift from experimentation to execution is fueling a new wave of informed engagement. “Companies are no longer just curious—they want results,” adds Nirenberg. Commit’s approach includes tailored use case identification, strategic KPI planning, and the use of AWS funding programs to reduce cost barriers. With AI expected to power 80% of customer interactions by 2026, the time to act is now. “If companies treat AI as a strategic driver rather than a tech checkbox,” Nirenberg concludes, “they can unlock real business impact.”
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