IBM Study: C-Suite Confidence Wanes, While CxOs Focus on Gen AI Demands

A new IBM Institute for Business Value study found that while IT leaders are preparing organizations for accelerated generative AI adoption, C-suite executives’ confidence in their IT team’s ability to deliver basic services is declining.

The global study of 2,500 of C-level technology executives (tech CxOs) from 34 countries revealed that less than half (47%) of those surveyed think their IT organization is effective in basic services compared to 69% surveyed in 2013. Today, only 36% of surveyed CEOs and 50% of surveyed CFOs believe IT is effective at basic services, down from 64% and 60%, respectively since 2013.

At the same time, 43% of surveyed tech CxOs say their concerns about their technology infrastructure have increased over the past six months because of generative AI, and they are now focused on optimizing their infrastructure for scaling generative AI. Respondents report they are currently spending 29% more on hybrid cloud than AI, and, over the next two years, they expect to spend half (50%) their budget on hybrid cloud and AI combined.

As tech CxOs prioritize generativeAI-ready infrastructure investments, two-thirds of surveyed CEOs cite that a strong tech CxO and CFO collaboration is critical to their organization’s success. However, a disconnect exists: only 39% of surveyed tech CxOs say they collaborate with finance to embed tech metrics into business cases, and just 35% of surveyed CFOs report being engaged early in IT planning to set strategic expectations. Among the high-performing tech CxO respondents, the study found that organizations that connect technology investments to measurable business outcomes report 12% higher revenue growth.

“Tech leaders today are grappling with multiple business demands, made even more complicated by the rise of generative AI. They must navigate the challenges of modernizing their IT infrastructure and scaling generative AI to support the business’ core competitive advantage, ” said Mohamad Ali, Senior Vice President, IBM Consulting. “In this evolving AI landscape, the relationship between tech CxOs and their finance counterparts has never been more important, aligning technology spend with business outcomes to drive real value from AI investments.”

Responsible AI is top of mind for tech CxOs, but there is a gap between intention and actions

  • For the majority (80%) of CEOs surveyed, transparency in their organization’s use of next-generation technologies, such as generative AI, is critical for fostering trust.
  • Yet, most tech CxOs acknowledge their organizations are falling short on delivering core responsible AI practices at scale:
    • Only half (50%) of respondents say they are delivering on key responsible AI capabilities for explainability, and even fewer say they are delivering capabilities for privacy (46%), transparency (45%) and fairness (37%).
  • 41% of tech CxOs surveyed reported an increase in their concerns about regulation and compliance as a barrier to generative AI over the last six months.
  •  However, most (70%) tech CxO respondents see regulatory change as an opportunity versus only 50% of CEOs.

Tech CxOs are driving their organizations to rethink their talent strategy to meet the needs of the generative AI era

  • 63% of tech CxOs surveyed agree that their competitiveness will hinge on their ability to attract, develop and retain top talent.
  • However, 58% of tech CxOs surveyed say they are having difficulty filling key technology roles, and only 27% of respondents identify talent as a top priority.
    • Over the next 3 years, tech executives anticipate a surge in skill scarcities over key areas, including cloud (+36%), AI (+29%), security (+25%) and privacy (+39%).
    • 40% of respondents report an increase in their concern over the past six months.
    • More than half (54%) of tech CxOs surveyed blame financial pressures for hindering their ability to invest in technology talent.
  • Many tech CxOs surveyed (69%) say they are turning to business partners as a source for specialized skills

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