Skip to main content

Nearly 96% of IT Professionals Believe GenAI Will Boost IT Productivity

Shamus McGillicuddy

When IT leaders started telling Enterprise Management Associates (EMA™) more than a year ago that their personnel were using premium ChatGPT subscriptions to create device configs and automation scripts, we knew the industry was on the verge of a revolution. Given the extreme interest in generative AI (GenAI) and the billions of dollars being invested in the technology,  EMA decided to investigate how enterprise IT organizations are applying the technology to IT operations tasks and processes today.

Artificial intelligence (AI) has been a hot IT industry buzzword for many years, particularly in the context of AIOps (AI for IT operations). AIOps is primarily the application of machine learning and other advanced algorithms to IT telemetry data for event correlation, anomaly detection, problem isolation, root-cause analysis, and other operational use cases. AIOps promised to streamline and automate various aspects of IT management, and it continues to gain momentum in the industry.

More recently, the emergence of ChatGPT from OpenAI kicked interest in AI into overdrive. ChatGPT and the countless competing platforms that followed it to market leverage large language models (LLM) to power generative AI, a technology that can produce new content in response to user prompts.

EMA spoke to many IT professionals who are successfully applying consumer-facing, general-purpose generative AI tools to IT operations tasks. The research aimed to uncover how these technologies can be effectively applied to IT management.

Some of the key findings from my new report, <span style="font-style: italic;">Applying Generative AI to IT Operations</span>, include:

■ Most IT professionals are using both general-purpose tools like ChatGPT and generative AI capabilities from their IT vendors.

■ The top challenges with applying generative AI to IT operations are validating quality of AI outputs, managing data quality, and integrating AI into tools and processes.

■ 93% believe it is at least somewhat important for their IT vendors to offer generative AI capabilities.

■ The two biggest potential benefits of applying generative AI to IT management tasks are the optimization of IT service performance and the improved alignment of IT with the business.

Hot Topics

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 ...

Image
Cloudbrink's Personal SASE services provide last-mile acceleration and reduction in latency

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 ...

Image
Broadcom

From growing reliance on FinOps teams to the increasing attention on artificial intelligence (AI), and software licensing, the Flexera 2025 State of the Cloud Report digs into how organizations are improving cloud spend efficiency, while tackling the complexities of emerging technologies ...

Nearly 96% of IT Professionals Believe GenAI Will Boost IT Productivity

Shamus McGillicuddy

When IT leaders started telling Enterprise Management Associates (EMA™) more than a year ago that their personnel were using premium ChatGPT subscriptions to create device configs and automation scripts, we knew the industry was on the verge of a revolution. Given the extreme interest in generative AI (GenAI) and the billions of dollars being invested in the technology,  EMA decided to investigate how enterprise IT organizations are applying the technology to IT operations tasks and processes today.

Artificial intelligence (AI) has been a hot IT industry buzzword for many years, particularly in the context of AIOps (AI for IT operations). AIOps is primarily the application of machine learning and other advanced algorithms to IT telemetry data for event correlation, anomaly detection, problem isolation, root-cause analysis, and other operational use cases. AIOps promised to streamline and automate various aspects of IT management, and it continues to gain momentum in the industry.

More recently, the emergence of ChatGPT from OpenAI kicked interest in AI into overdrive. ChatGPT and the countless competing platforms that followed it to market leverage large language models (LLM) to power generative AI, a technology that can produce new content in response to user prompts.

EMA spoke to many IT professionals who are successfully applying consumer-facing, general-purpose generative AI tools to IT operations tasks. The research aimed to uncover how these technologies can be effectively applied to IT management.

Some of the key findings from my new report, <span style="font-style: italic;">Applying Generative AI to IT Operations</span>, include:

■ Most IT professionals are using both general-purpose tools like ChatGPT and generative AI capabilities from their IT vendors.

■ The top challenges with applying generative AI to IT operations are validating quality of AI outputs, managing data quality, and integrating AI into tools and processes.

■ 93% believe it is at least somewhat important for their IT vendors to offer generative AI capabilities.

■ The two biggest potential benefits of applying generative AI to IT management tasks are the optimization of IT service performance and the improved alignment of IT with the business.

Hot Topics

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 ...

Image
Cloudbrink's Personal SASE services provide last-mile acceleration and reduction in latency

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 ...

Image
Broadcom

From growing reliance on FinOps teams to the increasing attention on artificial intelligence (AI), and software licensing, the Flexera 2025 State of the Cloud Report digs into how organizations are improving cloud spend efficiency, while tackling the complexities of emerging technologies ...