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More Than Half of Companies Have Deployed AI Agents

More than half (51%) of companies are already leveraging AI agents, according to the PagerDuty Agentic AI Survey.

Agentic AI adoption is poised to accelerate faster than generative AI (GenAI) while reshaping automation and decision-making across industries. Companies are no longer just experimenting. The survey data shows that 94% of companies believe they will adopt agentic AI more quickly than GenAI, with 55% strongly agreeing that they will integrate it across their organizations at an accelerated pace. As businesses look to automate complex workflows and drive efficiency, agentic AI is emerging as the next phase of AI-driven transformation, offering faster deployment and deeper operational impact.

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Pagerduty

Key findings include:

Confidence in GenAI

The majority of respondents (63%) have fully integrated GenAI into their company. 73% of organizations in the UK and 69% in Australia lead the charge with 64% in the US not far behind. However, traction in Japan shows to be noticeably slower as only 44% of companies have fully integrated GenAI.

AI Maturity and Adoption

71% of companies that have fully implemented GenAI are far more likely to have already deployed agentic AI, compared to just 19% of companies that have yet to fully implement GenAI.

Strong Return on Investment (ROI) Expectations

62% of companies expect more than 100% ROI from agentic AI, with an average expected return of 171% on their investment. GenAI has already delivered strong financial results, with an average ROI of 152%.

Automating Workflows at Scale

52%, more than half, of companies expect agentic AI to automate or accelerate between 26% and 50% of their workloads, unlocking significant operational efficiencies.

Future Impact of AI

44% of business leaders expect agentic AI to have a greater overall impact than GenAI, while 40% believe the latter will prove more transformative, demonstrating that companies are divided on whether agentic AI will cause an industry shift similar to GenAI.

Lessons from GenAI Implementation

44% of business leaders cite rushed AI adoption without proper planning as the biggest challenge, which is one of the mistakes leaders hope to avoid repeating from their GenAI deployment. Cost control (40%), improved employee training (37%), and stronger data infrastructure (37%) were also among the top priorities for AI strategy refinement.

AI Investment Is Scaling Up

75% of organizations are investing $1 million or more in AI initiatives, reflecting a commitment to long-term AI-driven transformation, showcasing ongoing interest in AI implementation leading to increasing budget allocations.

"Leaders need to provide tangible, quantifiable benefits from their AI deployments if they want to justify the investment," said Eric Johnson, CIO at PagerDuty. "PagerDuty's latest survey data illustrates how strongly organizations believe agentic AI will help unlock real value from AI and automation, as 62% of survey respondents anticipate triple-digit ROI. Companies that successfully integrate agentic AI into their operations can expect increased efficiency gains by automating complexity and accelerating decision-making."

Many organizations learned firsthand that insufficient training hindered GenAI adoption and are taking a different approach with agentic AI. Every company surveyed has various plans to implement agentic AI training, with 61% prioritizing organization-wide seminars or structured initiatives.

Additionally, 56% of organizations will offer an external course to their employees, while 52% plan to host official office hours and formal internal mentorship programs to ensure employees can effectively integrate and leverage AI agents in their workflows.

Methodology: The survey of 1,000 IT and business executives across the US, UK, Australia, and Japan was conducted by Wakefield Research.

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More Than Half of Companies Have Deployed AI Agents

More than half (51%) of companies are already leveraging AI agents, according to the PagerDuty Agentic AI Survey.

Agentic AI adoption is poised to accelerate faster than generative AI (GenAI) while reshaping automation and decision-making across industries. Companies are no longer just experimenting. The survey data shows that 94% of companies believe they will adopt agentic AI more quickly than GenAI, with 55% strongly agreeing that they will integrate it across their organizations at an accelerated pace. As businesses look to automate complex workflows and drive efficiency, agentic AI is emerging as the next phase of AI-driven transformation, offering faster deployment and deeper operational impact.

Image
Pagerduty

Key findings include:

Confidence in GenAI

The majority of respondents (63%) have fully integrated GenAI into their company. 73% of organizations in the UK and 69% in Australia lead the charge with 64% in the US not far behind. However, traction in Japan shows to be noticeably slower as only 44% of companies have fully integrated GenAI.

AI Maturity and Adoption

71% of companies that have fully implemented GenAI are far more likely to have already deployed agentic AI, compared to just 19% of companies that have yet to fully implement GenAI.

Strong Return on Investment (ROI) Expectations

62% of companies expect more than 100% ROI from agentic AI, with an average expected return of 171% on their investment. GenAI has already delivered strong financial results, with an average ROI of 152%.

Automating Workflows at Scale

52%, more than half, of companies expect agentic AI to automate or accelerate between 26% and 50% of their workloads, unlocking significant operational efficiencies.

Future Impact of AI

44% of business leaders expect agentic AI to have a greater overall impact than GenAI, while 40% believe the latter will prove more transformative, demonstrating that companies are divided on whether agentic AI will cause an industry shift similar to GenAI.

Lessons from GenAI Implementation

44% of business leaders cite rushed AI adoption without proper planning as the biggest challenge, which is one of the mistakes leaders hope to avoid repeating from their GenAI deployment. Cost control (40%), improved employee training (37%), and stronger data infrastructure (37%) were also among the top priorities for AI strategy refinement.

AI Investment Is Scaling Up

75% of organizations are investing $1 million or more in AI initiatives, reflecting a commitment to long-term AI-driven transformation, showcasing ongoing interest in AI implementation leading to increasing budget allocations.

"Leaders need to provide tangible, quantifiable benefits from their AI deployments if they want to justify the investment," said Eric Johnson, CIO at PagerDuty. "PagerDuty's latest survey data illustrates how strongly organizations believe agentic AI will help unlock real value from AI and automation, as 62% of survey respondents anticipate triple-digit ROI. Companies that successfully integrate agentic AI into their operations can expect increased efficiency gains by automating complexity and accelerating decision-making."

Many organizations learned firsthand that insufficient training hindered GenAI adoption and are taking a different approach with agentic AI. Every company surveyed has various plans to implement agentic AI training, with 61% prioritizing organization-wide seminars or structured initiatives.

Additionally, 56% of organizations will offer an external course to their employees, while 52% plan to host official office hours and formal internal mentorship programs to ensure employees can effectively integrate and leverage AI agents in their workflows.

Methodology: The survey of 1,000 IT and business executives across the US, UK, Australia, and Japan was conducted by Wakefield Research.

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The Latest

According to Auvik's 2025 IT Trends Report, 60% of IT professionals feel at least moderately burned out on the job, with 43% stating that their workload is contributing to work stress. At the same time, many IT professionals are naming AI and machine learning as key areas they'd most like to upskill ...

Businesses that face downtime or outages risk financial and reputational damage, as well as reducing partner, shareholder, and customer trust. One of the major challenges that enterprises face is implementing a robust business continuity plan. What's the solution? The answer may lie in disaster recovery tactics such as truly immutable storage and regular disaster recovery testing ...

IT spending is expected to jump nearly 10% in 2025, and organizations are now facing pressure to manage costs without slowing down critical functions like observability. To meet the challenge, leaders are turning to smarter, more cost effective business strategies. Enter stage right: OpenTelemetry, the missing piece of the puzzle that is no longer just an option but rather a strategic advantage ...

Amidst the threat of cyberhacks and data breaches, companies install several security measures to keep their business safely afloat. These measures aim to protect businesses, employees, and crucial data. Yet, employees perceive them as burdensome. Frustrated with complex logins, slow access, and constant security checks, workers decide to completely bypass all security set-ups ...

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In MEAN TIME TO INSIGHT Episode 13, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses hybrid multi-cloud networking strategy ... 

In high-traffic environments, the sheer volume and unpredictable nature of network incidents can quickly overwhelm even the most skilled teams, hindering their ability to react swiftly and effectively, potentially impacting service availability and overall business performance. This is where closed-loop remediation comes into the picture: an IT management concept designed to address the escalating complexity of modern networks ...

In 2025, enterprise workflows are undergoing a seismic shift. Propelled by breakthroughs in generative AI (GenAI), large language models (LLMs), and natural language processing (NLP), a new paradigm is emerging — agentic AI. This technology is not just automating tasks; it's reimagining how organizations make decisions, engage customers, and operate at scale ...

In the early days of the cloud revolution, business leaders perceived cloud services as a means of sidelining IT organizations. IT was too slow, too expensive, or incapable of supporting new technologies. With a team of developers, line of business managers could deploy new applications and services in the cloud. IT has been fighting to retake control ever since. Today, IT is back in the driver's seat, according to new research by Enterprise Management Associates (EMA) ...

In today's fast-paced and increasingly complex network environments, Network Operations Centers (NOCs) are the backbone of ensuring continuous uptime, smooth service delivery, and rapid issue resolution. However, the challenges faced by NOC teams are only growing. In a recent study, 78% state network complexity has grown significantly over the last few years while 84% regularly learn about network issues from users. It is imperative we adopt a new approach to managing today's network experiences ...

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