Reports Show How Different Industries Are Using AI Agents More

Across 14 countries, more and more are technology chiefs are using AI agents. Cloudera’s survey of 1,484 executives shows 57% have started using the tools during the past 2 years, while 21% began only in the last 12 months.

Also, 96% of them intend to begin using it more before April next year, and 83% view fresh investment as necessary for staying ahead of their competition. According to the study, early wins persuaded boards that agents repay budgets with returns on investments more quickly than earlier software eras.
 

How Are AI Agents Better Than Standard Chatbots?

 
Agents are different from chatbots because they decide, plan and act without waiting for scripted prompts. A helpdesk assistant, for example, can notice an incoming outage, open a ticket and reroute traffic in minutes. That change from passive response to proactive action explains rising approval among finance chiefs who value shorter downtime and lower labour bills.

The survey records 61% of active agents working among servers, where they work on cloud resources, create balanced workloads and scan traffic. Performance bots account for 66% of those installations, and security monitors appear in 63. Development aides make up 62%. Engineers report steadier systems because finetuning no longer waits in support queues.

Cloudera also reported that 78% of organisations use AI agents to answer enquiries for customer care. Another 71% assign them to automate internal flows, and 57% trust them to forecast demand. A service bot armed with purchase history now drafts detailed replies within seconds and passes only complicated cases to colleagues.

Design choices lean toward trusted infrastructure because the report shows that 2/3 of teams build on enterprise AI platforms that sit beside private data. 60% switch on ready made functions in existing software, which shortens project timelines and meets compliance rules.
 

 

How Far Have Other Sectors Taken The Tools?

 

Finance chiefs report that they see very visible improvements…

• Fraud screening is the main task for 56% of banks and insurers. Each agent sifts thousands of payments and flags anomalies within minutes.
• Portfolio risk scoring is the focus for 44%, which gives analysts early warning of market fluctuations.
• Personalised investment tips appeal to 38%, allowing advisers to give personalised guidance in real time.

 

Factories report improvements as well…

• Process bots run on 49% of lines, adjusting output when resources change.
• Supply Chain tuners guide logistics in 48 % of plants, steering goods away from bottlenecks.
• Quality helpers watch for defects in 47%, using vision models to stop faulty parts leaving the floor.
• Healthcare managers show gains in staffing and diagnosis…
• Scheduling aides handle appointment books for 51% of surveyed providers, cutting waiting times.
• Diagnostic helpers assist radiology work in 50 %, pointing clinicians toward faint warning signs on scans.
• Record-handling agents support 47%, filing notes faster and trimming paperwork.
• Telecommunications firms turn to agents for 2 overlapping goals, service and safety. The study shows 49% use bots to answer customer calls, while the same share use software sentries that watch networks for fraud and intrusions.

 

Why Is This Useful For Startups?

 

One respondent shared how AI is useful to them by saying, “My highest priority for expanding AI in the organisation is to help with the integration of data security such as privacy, security, and staff adaptation training.”

Leaders who modernise data pipelines, assign clear ownership and keep staff learning now let AI agents handle such tasks are seeing improvements, for sure… As time goes, we will start to see more modern businesses do the same.