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Companies Accelerating Digital Transformation Due to Pandemic

Nearly 6 in 10 responding organizations have accelerated their digital transformations due to the COVID-19 pandemic, according to The IBM Institute for Business Value (IBV) study COVID-19 and the Future of Business.

Jump to infographic below

Traditional and perceived barriers like technology immaturity and employee opposition to change have fallen away — in fact, 66% of executives surveyed said they have completed initiatives that previously encountered resistance.

Participating businesses are seeing more clearly the critical role people play in driving their ongoing transformation. Leaders surveyed called out organizational complexity, inadequate skills and employee burnout as the biggest hurdles to overcome — both today and in the next two years.

The study finds a significant disconnect in how effective leaders and employees believe companies have been in addressing these gaps — 74% of executives surveyed believe they have been helping their employees learn the skills needed to work in a new way, just 38% of employees surveyed agree. 80% of executives surveyed say that they are supporting the physical and emotional health of their workforce, while just 46% of employees surveyed feel that support.

The study shows that executives surveyed are facing a proliferation of initiatives due to the pandemic and having difficulty focusing, but do plan to prioritize internal and operational capabilities such as workforce skills and flexibility — critical areas to address in order to jumpstart progress.

"For many the pandemic has knocked down previous barriers to digital transformation, and leaders are increasingly relying on technology for mission-critical aspects of their enterprise operations," said Mark Foster, SVP, IBM Services. "But looking ahead, leaders need to redouble their focus on their people as well as the workflows and technology infrastructure that enable them — we can't underestimate the power of empathetic leadership to drive employees' confidence, effectiveness and well-being amid disruption."

The study reveals three proactive steps that emerging leaders surveyed are taking to survive and thrive.

1. Improving operational scalability and flexibility

The ongoing disruption of the COVID-19 pandemic has shown how important it can be for businesses to be built for change. Many executives are facing demand fluctuations, new challenges to support employees working remotely and requirements to cut costs.

In addition, the study reveals that the majority of organizations are making permanent changes to their organizational strategy. For instance, 94% of executives surveyed plan to participate in platform-based business models by 2022, and many reported they will increase participation in ecosystems and partner networks.

Executing these new strategies may require a more scalable and flexible IT infrastructure. Executives are already anticipating this: the survey showed respondents plan a 20 percentage point increase in prioritization of cloud technology in the next two years.

What's more, executives surveyed plan to move more of their business functions to the cloud over the next two years, with customer engagement and marketing being the top two cloudified functions.

2. Applying AI, automation and other exponential technologies to help make workflows more intelligent

The COVID-19 pandemic has disrupted critical workflows and processes at the heart of many organizations' core operations. Technologies like AI, automation and cybersecurity that could help make workflows more intelligent, responsive and secure are increasing in priority across the board for responding global executives. Over the next two years, the report finds:

■ Prioritization of AI technology will increase by 20 percentage points

■ 60% of executives surveyed say they have accelerated process automation, and many will increasingly apply automation across all business functions

■ 76% of executives surveyed plan to prioritize cybersecurity — twice as many as deploy the technology today.

As executives increasingly invest in cloud, AI, automation and other exponential technologies, IBM recommends leaders should keep in mind the users of that technology — their people. These digital tools should enable a positive employee experience by design, and support people's innovation and productivity.

3. Leading, engaging and enabling the workforce in new ways

The study showed placing a renewed focus on people may be critical amid the COVID-19 pandemic while many employees are working outside of traditional offices and dealing with heightened personal stress and uncertainty.

Ongoing IBV consumer research has shown that the expectations employees have of their employers have shifted amidst the pandemic — employees now expect that their employers will take an active role in supporting their physical and emotional health as well as the skills they need to work in new ways.

To address this gap, IBM recommends executives place deeper focus on their people, putting employees' end-to-end well-being first. Empathetic leaders who encourage personal accountability and support employees to work in self-directed squads that apply design thinking, Agile principles and DevOps tools and techniques can be beneficial.

Organizations should also think about adopting a holistic, multi-modal model of skills development to help employees develop both the behavioral and technical skills required to work in the new normal and foster a culture of continuous learning.



Methodology: The study includes input from more than 3,800 C-suite executives in 20 countries and 22 industries.

The Latest

Performance bottlenecks aren't uncommon when it comes to rolling out new technology, regardless of how capable or game-changing that technology might be. Every generation of new tech has encountered roadblocks that had to be overcome before it was truly able to shine. Virtualization forced organizations to rethink resource allocation, cloud transformation had us shift our focus toward scalability and elasticity, and microservices introduced entirely new challenges around observability and distributed systems. There's something different about AI, however ...

Consider a single order represented across order-management, execution, and settlement systems. Each database, message broker, and application may be online and processing its own records correctly. Yet the workflow has failed if related events arrive on different clocks, rely on inconsistent state, or cannot be reconciled before an operational decision must be made ...

AI now exists in almost every IT workflow. In a recent survey of more than 800 IT service professionals, all respondents indicated the use of AI in some form within their organization. But there's a growing paradox: if dashboards are clearing faster and alerts are resolved at unprecedented speed, why aren't IT service desks reporting lighter workloads? The research found that 71% of IT teams said their actual workload has remained flat or increased since adopting AI. This reality appears to contradict what we’ve been told about AI ...

Two years ago, almost every customer conversation about AI started with the same questions: Which model should we use? What can it do? Is it ready for the enterprise? Today, those discussions have moved on. CIOs are far more interested in how to govern AI, integrate it with existing systems, prepare their workforce and make it part of everyday operations. The challenge is no longer to prove that AI can deliver value. It's instead about how to embed AI into the business in a way that's secure, scalable and delivers measurable outcomes ...

Two things happened to production incidents between 2023 and now, and they did not happen at the same speed. The first is that a class of dependency that barely existed three years ago now accounts for one incident in ten. Incidents disclosed by AI model and AI application providers rose from 1.7% of all disclosed unplanned incidents in 2023 to 10.7% in 2026 year to date, roughly a sixfold rise; that counts only incidents at AI companies themselves, so the true share is higher. The second is that the time to close an incident has not come down ...

Companies Accelerating Digital Transformation Due to Pandemic

Nearly 6 in 10 responding organizations have accelerated their digital transformations due to the COVID-19 pandemic, according to The IBM Institute for Business Value (IBV) study COVID-19 and the Future of Business.

Jump to infographic below

Traditional and perceived barriers like technology immaturity and employee opposition to change have fallen away — in fact, 66% of executives surveyed said they have completed initiatives that previously encountered resistance.

Participating businesses are seeing more clearly the critical role people play in driving their ongoing transformation. Leaders surveyed called out organizational complexity, inadequate skills and employee burnout as the biggest hurdles to overcome — both today and in the next two years.

The study finds a significant disconnect in how effective leaders and employees believe companies have been in addressing these gaps — 74% of executives surveyed believe they have been helping their employees learn the skills needed to work in a new way, just 38% of employees surveyed agree. 80% of executives surveyed say that they are supporting the physical and emotional health of their workforce, while just 46% of employees surveyed feel that support.

The study shows that executives surveyed are facing a proliferation of initiatives due to the pandemic and having difficulty focusing, but do plan to prioritize internal and operational capabilities such as workforce skills and flexibility — critical areas to address in order to jumpstart progress.

"For many the pandemic has knocked down previous barriers to digital transformation, and leaders are increasingly relying on technology for mission-critical aspects of their enterprise operations," said Mark Foster, SVP, IBM Services. "But looking ahead, leaders need to redouble their focus on their people as well as the workflows and technology infrastructure that enable them — we can't underestimate the power of empathetic leadership to drive employees' confidence, effectiveness and well-being amid disruption."

The study reveals three proactive steps that emerging leaders surveyed are taking to survive and thrive.

1. Improving operational scalability and flexibility

The ongoing disruption of the COVID-19 pandemic has shown how important it can be for businesses to be built for change. Many executives are facing demand fluctuations, new challenges to support employees working remotely and requirements to cut costs.

In addition, the study reveals that the majority of organizations are making permanent changes to their organizational strategy. For instance, 94% of executives surveyed plan to participate in platform-based business models by 2022, and many reported they will increase participation in ecosystems and partner networks.

Executing these new strategies may require a more scalable and flexible IT infrastructure. Executives are already anticipating this: the survey showed respondents plan a 20 percentage point increase in prioritization of cloud technology in the next two years.

What's more, executives surveyed plan to move more of their business functions to the cloud over the next two years, with customer engagement and marketing being the top two cloudified functions.

2. Applying AI, automation and other exponential technologies to help make workflows more intelligent

The COVID-19 pandemic has disrupted critical workflows and processes at the heart of many organizations' core operations. Technologies like AI, automation and cybersecurity that could help make workflows more intelligent, responsive and secure are increasing in priority across the board for responding global executives. Over the next two years, the report finds:

■ Prioritization of AI technology will increase by 20 percentage points

■ 60% of executives surveyed say they have accelerated process automation, and many will increasingly apply automation across all business functions

■ 76% of executives surveyed plan to prioritize cybersecurity — twice as many as deploy the technology today.

As executives increasingly invest in cloud, AI, automation and other exponential technologies, IBM recommends leaders should keep in mind the users of that technology — their people. These digital tools should enable a positive employee experience by design, and support people's innovation and productivity.

3. Leading, engaging and enabling the workforce in new ways

The study showed placing a renewed focus on people may be critical amid the COVID-19 pandemic while many employees are working outside of traditional offices and dealing with heightened personal stress and uncertainty.

Ongoing IBV consumer research has shown that the expectations employees have of their employers have shifted amidst the pandemic — employees now expect that their employers will take an active role in supporting their physical and emotional health as well as the skills they need to work in new ways.

To address this gap, IBM recommends executives place deeper focus on their people, putting employees' end-to-end well-being first. Empathetic leaders who encourage personal accountability and support employees to work in self-directed squads that apply design thinking, Agile principles and DevOps tools and techniques can be beneficial.

Organizations should also think about adopting a holistic, multi-modal model of skills development to help employees develop both the behavioral and technical skills required to work in the new normal and foster a culture of continuous learning.



Methodology: The study includes input from more than 3,800 C-suite executives in 20 countries and 22 industries.

The Latest

Performance bottlenecks aren't uncommon when it comes to rolling out new technology, regardless of how capable or game-changing that technology might be. Every generation of new tech has encountered roadblocks that had to be overcome before it was truly able to shine. Virtualization forced organizations to rethink resource allocation, cloud transformation had us shift our focus toward scalability and elasticity, and microservices introduced entirely new challenges around observability and distributed systems. There's something different about AI, however ...

Consider a single order represented across order-management, execution, and settlement systems. Each database, message broker, and application may be online and processing its own records correctly. Yet the workflow has failed if related events arrive on different clocks, rely on inconsistent state, or cannot be reconciled before an operational decision must be made ...

AI now exists in almost every IT workflow. In a recent survey of more than 800 IT service professionals, all respondents indicated the use of AI in some form within their organization. But there's a growing paradox: if dashboards are clearing faster and alerts are resolved at unprecedented speed, why aren't IT service desks reporting lighter workloads? The research found that 71% of IT teams said their actual workload has remained flat or increased since adopting AI. This reality appears to contradict what we’ve been told about AI ...

Two years ago, almost every customer conversation about AI started with the same questions: Which model should we use? What can it do? Is it ready for the enterprise? Today, those discussions have moved on. CIOs are far more interested in how to govern AI, integrate it with existing systems, prepare their workforce and make it part of everyday operations. The challenge is no longer to prove that AI can deliver value. It's instead about how to embed AI into the business in a way that's secure, scalable and delivers measurable outcomes ...

Two things happened to production incidents between 2023 and now, and they did not happen at the same speed. The first is that a class of dependency that barely existed three years ago now accounts for one incident in ten. Incidents disclosed by AI model and AI application providers rose from 1.7% of all disclosed unplanned incidents in 2023 to 10.7% in 2026 year to date, roughly a sixfold rise; that counts only incidents at AI companies themselves, so the true share is higher. The second is that the time to close an incident has not come down ...