Why AI leaders are augmenting hyperscaler investments
New CIO.com research surveying 209 enterprise AI leaders reveals where AI breaks at scale and how leading organizations are responding.
Early AI initiatives often show promise. At enterprise scale, however, many leaders find that hyperscaler-native approaches alone begin to fall short.
The research shows that while hyperscalers remain essential, organizations are increasingly augmenting those investments to scale AI with confidence.
What the research reveals:
- Why enterprise AI struggles to scale beyond early wins. Fewer than four in ten organizations have successfully expanded AI beyond isolated teams or use cases.
- Where governance, security, and cost pressures intensify at scale. Most AI leaders report difficulty validating security and compliance using hyperscaler-native tools alone.
- How leading organizations are adapting. Only a small minority see consistent decision-making impact today, prompting many leaders to augment existing hyperscaler investments.
Download the full report.
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