Enterprise AI adoption has almost reached saturation, with 96% of firms integrating the tech into their core business processes, leading most to report stronger results.

Cloudera’s latest research, The State of Enterprise AI and Data Architecture, shows AI uptake has spiked once again, with usage jumping from 88% last year to these near-universal levels, signalling a shift to full-scale integration for firms that until now have stuck with pilot projects and experimentation.

The data shows that this leap of faith is paying off, with 70% of the 1,500 IT leaders Cloudera polled saying they have achieved significant success with their AI initiatives, and only 1% having yet to see positive results.

To achieve these results, organisations are embracing a mix of AI technologies, including generative (60%), deep learning (53%), and predictive (50%), with 67% of IT leaders feeling more prepared to manage emerging forms of AI, particularly AI agents, than a year ago.

Cloudera found that this shift in mindset around AI is being driven by a new approach to data, an essential change given that only 9% of firms said all of their data is available and usable for AI initiatives.

Hybrid data architecture is now the norm, with firms reporting more flexibility to run AI across both cloud and on-prem environments. Most enterprises are leveraging the cloud, with 63% of IT leaders saying their firm uses a private cloud, 52% a public cloud, and 42% a data warehouse. 

According to Cloudera, this could help ease technical limitations identified in current data architectures when supporting AI workloads, including data integration (37%), storage performance (17%), and compute power (17%). 

When asked about the biggest benefits to this new approach, respondents pointed to better data management (55%), more powerful analytics (54%), and, crucially, stronger security (62%).

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However, despite security being a top concern, it is widely acknowledged that integrating AI is not without risk. 

Exactly half of IT leaders said data leakage during model training was a concern, with 48% worried about unauthorised data access, and 43% saying that unsecured third-party tools are an issue.

“In just a year, AI has shifted from a strategic priority to an urgent mandate, actively reshaping operations and redefining the rules of competition,” said Sergio Gago, Cloudera CTO. 

“But our survey shows that enterprises still face deep challenges around security, compliance, and data utilisation, with many getting stuck at the proof-of-concept stage.”