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The hidden problem of the AI boom that companies are overlooking
๐Ÿ‡ฆ๐Ÿ‡ท Argentina /Technology

The hidden problem of the AI boom that companies are overlooking

From La Naciรณn · () Spanish

Translated from Spanish, summarized and contextualized by DistantNews.

At a glance

Analysis Named sources Context piece
  • As AI adoption grows, companies face a new organizational challenge: if everyone uses the same AI models, competitive advantage disappears.
  • A Bain & Company report warns that AI is becoming a commodity, and true differentiation will come from exclusive data ownership, unique workflow integration, and brand trust.
  • To avoid homogenization, companies must focus on strategic data governance, redesigning internal processes to leverage AI, and building brand trust that technology cannot replicate.

As artificial intelligence adoption becomes widespread, businesses are encountering a novel organizational problem: if all companies utilize the same AI models, their competitive advantages could vanish. This issue is highlighted in a recent Bain & Company analysis titled "SuperAI: When Intelligence Is Cheap, What Remains Yours?"

The report notes that the dominant conversation around AI has long focused on access, which model is superior, who controls the largest clusters, and the pace of technological advancement. However, now that access is no longer a significant barrier, an old axiom holds true: "When a resource becomes abundant and cheap, it ceases to be a source of advantage." Relying on standardized, third-party solutions risks creating a "convergence trap," where competitors' processes, responses, and products become indistinguishable, eroding unique value.

"Pure artificial intelligence is rapidly becoming a commodity," explained Alejandro Perez de Rosso, partner and office head of Bain in Argentina. "When any company can purchase the same cognitive capability for pennies, the algorithm ceases to be a differentiator." He asserted that in the era of widespread AI adoption, the critical question for leadership is not "what AI tools to adopt," but "what remains proprietary." True competitive advantage, he stated, will stem from owning exclusive data, deeply integrating AI into unique workflows, and cultivating brand trust that technology cannot replicate.

Bain & Company identifies three fundamental pillars for companies to build competitive advantages and avoid technological homogenization. First is the importance of owning and governing strategic data. Companies that differentiate themselves will be those capable of safeguarding and capitalizing on their proprietary data, historical knowledge, and unique contextual information, which public models cannot access or reproduce. Second, technology alone does not create value; internal processes must be redesigned to effectively leverage AI, aligning with each business's specific culture and objectives. The report cautions that incorporating AI into existing processes without redesign can create a false sense of progress while being costly.

La pregunta crรญtica que todo equipo directivo debe hacerse hoy no es โ€˜quรฉ herramientas de IA adoptarโ€™, sino โ€˜quรฉ sigue siendo propioโ€™. La verdadera ventaja competitiva residirรก en la propiedad de los datos exclusivos, la integraciรณn profunda en flujos de trabajo รบnicos y la confianza de marca que la tecnologรญa no puede replicar

โ€” Alejandro Perez de RossoBain partner outlines the new drivers of competitive advantage in the age of AI.
DistantNews Editorial

Originally published by La Naciรณn in Spanish. Translated, summarized, and contextualized by our editorial team with added local perspective. Read our editorial standards.