Why Cloudera’s new global survey should be a wake-up call for every enterprise thinking about agentic AI

In Cloudera’s latest report, “The Future of Enterprise AI Agents,” the signal is loud and clear: enterprises are making a bold shift toward agentic AI—and fast.

According to a global survey of nearly 1,500 IT leaders across 14 countries:

• 96% of enterprises plan to expand their use of AI agents in the next 12 months. 

• The most common use cases today are customer support (78%), process automation (71%), and predictive analytics (57%). 

• These agents are increasingly being built on hybrid infrastructure platforms and embedded within core business applications—a clear indication of the enterprise's focus on privacy, scalability, and proximity to data.

What’s driving this shift?

AI agents aren’t just smarter chatbots—they’re autonomous systems that reason, plan, and act, making them highly adaptable in dynamic enterprise environments.

This flexibility is being applied across industries:

• Finance: Fraud detection and risk assessment

• Manufacturing: Supply chain optimization and quality control

• Healthcare: Diagnostic support and EMR automation

• Telecommunications: Churn prediction and customer support bots.

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But the report also surfaces serious challenges:

• Data privacy and compliance are the top barriers

• Integration with existing infrastructures remains a pain point

• Bias and fairness are emerging as make-or-break issues in sectors like healthcare and defense

The most telling takeaway?

The rise of open-source LLMs—like Llama and Mistral—signals a growing dissatisfaction with vendor lock-in. Enterprises are seeking control, cost-efficiency, and data sovereignty, and open models are increasingly delivering that.

What comes next?

Cloudera outlines a roadmap that resonates deeply:

1. Start small with high-impact use cases (think internal IT or support agents)

2. Invest in unified data platforms that support agentic workflows

3. Establish clear accountability before scaling agent usage

4. Formalize governance—bias and fairness aren’t side concerns, they’re core to adoption

5. Upskill teams to enable fast, confident iteration

Agentic AI will soon be woven into the fabric of every intelligent enterprise. The only question is: Will you lead or lag behind?

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Best,

Ravit Jain

Founder & Host of The Ravit Show