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Enterprises Face Hurdles in Scaling AI Adoption Despite its Business Growth Potential

Importance: 85/1008 Sources

Why It Matters

Successful AI integration is critical for future business competitiveness and growth, but current enterprise challenges in moving beyond pilots to production necessitate strategic investments in infrastructure, organizational redesign, and specialized services.

Key Intelligence

  • An IBM study indicates AI is poised to drive significant business growth through 2030, but many companies struggle with effective adoption.
  • Despite billions invested, only 5% of integrated AI pilots yield measurable business value, with nearly half of initiatives abandoned before production due to infrastructure limitations, not the AI models themselves.
  • Leading companies are focusing on overcoming these bottlenecks by addressing data accessibility and rigid systems, and by redesigning work to become 'AI-native'.
  • IBM is launching new services, such as the Enterprise Advantage Service, to help businesses scale agentic AI and responsibly embed machine learning and GenAI into operations.
  • The World Economic Forum highlights strategies for building AI-native companies and harnessing AI growth effectively.