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Digital Transformation Programs Are Leaving Workers Behind

Sandeep Kishore
Zensar

The lack of proper IT tools is killing the morale of white-collar and higher-level professionals in the US, according to new research from Zensar.

More than half of such professionals involved in the study, titled Living Digital Survey, said their company's digital transformation priorities are focused on how to increase profits instead of empowering workers.

Most also said that IT tools play a key role in productivity, and nearly a third said having the proper IT tools makes them happier.

In addition, close to half said if their company's digital transformation priorities focused more on how to empower people, morale would improve.

Outfitting Workers with the Proper IT Tools Is a Win-Win

More than three-fourths (76%) of the 1,000-plus survey group said having the digital tools they need at work makes them more productive. More than half (53%) said it makes them more successful. The same share said they would be more empowered to better manage workflow if provided with the IT tools they needed, and 42% said it speeds up boring tasks.

42% also said it would result in better worker morale. A third said it makes them smarter. Nearly as many (28%) said it makes them happier. And 38% said a focus on worker empowerment via IT would allow the company itself to change faster.

Yet Many Companies Don't Do It – and the Fear Factor May Be to Blame

At least a third of these professionals indicated that fear could be preventing their employers from outfitting them with all the digital tools they need to succeed at work. Nearly a third (31%) said their company has a wait-and-see approach to new technology. More than that (44%) said their employers are too concerned with incremental expenses to invest in new technology.

Supervisor inattention to worker needs is also to blame. Less than half (47%) of white-collar workers and just more than a third (37%) of their higher-level coworkers said their bosses understand their technological needs.

Companies That Don't Provide Proper IT Tools Suffer from a Fatal Disconnect

Half of the survey group said if their employers' digital transformation efforts focused more on employee empowerment, it would be easier for them to collaborate with coworkers. More than half (53%) said technology makes companies better.

Yet only 65% said they feel very connected with their company's mission; less than half (48%) said they are aware of their company's digital transformation strategy.

Surprisingly, 53% of white-collar workers feel connected only to the people on their team. And just more than a third (37%) only feel connected to people in their nearby vicinity. Those shares are even lower among higher-level – so-called gold-collar – workers, at 50% and 30%. With the proper IT technology, however, companies could improve connections within their organizations.

IT Matters to Workers of All Ages

People tend to assume only the youngest workers place a high value on having the technology they need at work. But Zensar's research reveals that these digital natives are not alone.

68% of the 18 to 34 age group said having the digital tools they need at work makes them more productive. But an even higher portion — 80% — of the 35 to 54 age group connect proper IT tools to their own productivity. 83% of workers age 55 and older agreed.

The 35 to 54 age group is the most bullish on technology's effect on business in particular and life in general. When asked how they feel about technology, 57% of this group said it makes life better, and 58% said it makes companies better. And nearly half (46%) of this age group said they believe technology will free up people to do more creative thinking.

Digital Transformation Has a Human Component

It's understandable that some companies' digital transformation priorities are focused on how to increase profits. But rather than focusing exclusively on the financial aspects of digital transformation, businesses need to take a big-picture view of what they're trying to accomplish and how they can unlock exponential value today to create the enterprises of tomorrow. That should include understanding what digital tools workers want and need to get the job done.

Organizations can then make the most informed decisions about and investments in IT technology. And they can ensure that they and their customers benefit from the quality performance that highly engaged employees deliver.

Sandeep Kishore is CEO of Zensar

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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 ...

 

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Rapid AI adoption and the unique ways AI workloads operate is redefining the scope and structure of what these teams must deliver. This shift is forcing organizations to rethink how they manage scale, automation, and control, according to The State of SRE and Platform Engineering 2026, a new report from Dynatrace ...

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In MEAN TIME TO INSIGHT Episode 27, Shamus McGillicuddy, EMA VP of Research, Network Infrastructure and Operations, and Parker Hathcock, EMA Research Director covering IT Service/Operations (ServiceOps), discuss observability unification in modern IT operations ... 

Digital Transformation Programs Are Leaving Workers Behind

Sandeep Kishore
Zensar

The lack of proper IT tools is killing the morale of white-collar and higher-level professionals in the US, according to new research from Zensar.

More than half of such professionals involved in the study, titled Living Digital Survey, said their company's digital transformation priorities are focused on how to increase profits instead of empowering workers.

Most also said that IT tools play a key role in productivity, and nearly a third said having the proper IT tools makes them happier.

In addition, close to half said if their company's digital transformation priorities focused more on how to empower people, morale would improve.

Outfitting Workers with the Proper IT Tools Is a Win-Win

More than three-fourths (76%) of the 1,000-plus survey group said having the digital tools they need at work makes them more productive. More than half (53%) said it makes them more successful. The same share said they would be more empowered to better manage workflow if provided with the IT tools they needed, and 42% said it speeds up boring tasks.

42% also said it would result in better worker morale. A third said it makes them smarter. Nearly as many (28%) said it makes them happier. And 38% said a focus on worker empowerment via IT would allow the company itself to change faster.

Yet Many Companies Don't Do It – and the Fear Factor May Be to Blame

At least a third of these professionals indicated that fear could be preventing their employers from outfitting them with all the digital tools they need to succeed at work. Nearly a third (31%) said their company has a wait-and-see approach to new technology. More than that (44%) said their employers are too concerned with incremental expenses to invest in new technology.

Supervisor inattention to worker needs is also to blame. Less than half (47%) of white-collar workers and just more than a third (37%) of their higher-level coworkers said their bosses understand their technological needs.

Companies That Don't Provide Proper IT Tools Suffer from a Fatal Disconnect

Half of the survey group said if their employers' digital transformation efforts focused more on employee empowerment, it would be easier for them to collaborate with coworkers. More than half (53%) said technology makes companies better.

Yet only 65% said they feel very connected with their company's mission; less than half (48%) said they are aware of their company's digital transformation strategy.

Surprisingly, 53% of white-collar workers feel connected only to the people on their team. And just more than a third (37%) only feel connected to people in their nearby vicinity. Those shares are even lower among higher-level – so-called gold-collar – workers, at 50% and 30%. With the proper IT technology, however, companies could improve connections within their organizations.

IT Matters to Workers of All Ages

People tend to assume only the youngest workers place a high value on having the technology they need at work. But Zensar's research reveals that these digital natives are not alone.

68% of the 18 to 34 age group said having the digital tools they need at work makes them more productive. But an even higher portion — 80% — of the 35 to 54 age group connect proper IT tools to their own productivity. 83% of workers age 55 and older agreed.

The 35 to 54 age group is the most bullish on technology's effect on business in particular and life in general. When asked how they feel about technology, 57% of this group said it makes life better, and 58% said it makes companies better. And nearly half (46%) of this age group said they believe technology will free up people to do more creative thinking.

Digital Transformation Has a Human Component

It's understandable that some companies' digital transformation priorities are focused on how to increase profits. But rather than focusing exclusively on the financial aspects of digital transformation, businesses need to take a big-picture view of what they're trying to accomplish and how they can unlock exponential value today to create the enterprises of tomorrow. That should include understanding what digital tools workers want and need to get the job done.

Organizations can then make the most informed decisions about and investments in IT technology. And they can ensure that they and their customers benefit from the quality performance that highly engaged employees deliver.

Sandeep Kishore is CEO of Zensar

The Latest

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 ...

When an AI assistant gives an incomplete or incorrect answer, teams often blame the model. They adjust prompts, switch models, increase context windows or test a new retrieval strategy. However the model may not be a problem. In many enterprise AI workflows, the problem begins inside the document-ingestion pipeline ...

If you talk to any security or observability teams right now, they're all fighting the same fire: their tooling was built to ingest X, but their sources are pumping Y and soon to be doing Z. The knee-jerk reaction is always the same: we need more platform. However, this reaction is wrong. Let me explain why, because the solution to this problem is foundational, not financial. Instead of hurling yet more money at the problem, make sure you've done what's needed upstream ...

Rapid AI adoption and the unique ways AI workloads operate is redefining the scope and structure of what these teams must deliver. This shift is forcing organizations to rethink how they manage scale, automation, and control, according to The State of SRE and Platform Engineering 2026, a new report from Dynatrace ...

AI is usually talked about as a software tool, but it also depends heavily on the network behind it. Whether a company is using AI for chatbots, automation, monitoring, analytics, or employee support, all of that information has to move across the network in a reliable and secure way. That means AI is not just an application decision. It is also an infrastructure decision. Before organizations rush into AI, they should ask a simple question: Is our network ready to support it? ...

Enterprise AI often lacks governed access to where business processes actually execute. Without that access, AI agents may be able to reason, but they cannot operate reliably across enterprise workflows. For AI agents to effectively carry out workflows, they will require integration-layer context and controls. Organizations can implement these prerequisites by providing AI with managed access to the middleware layer ...

Enterprise networks rarely behave the same way for very long. A routing adjustment in one region may unexpectedly alter application performance in another. A cloud migration may introduce hidden dependencies that go unnoticed until an outage occurs. All the while, the network is managed by several different teams, each of whom use different tool sets — and as a result, have different views of the network ... There’s usually an engineer who remembers why traffic fails over a certain way between sites, or which transparent firewall was added where. The problem is that human memory cannot scale alongside enterprise-scale networks ...

Ask an infrastructure team how confident they are in their ability to govern AI, and most will tell you they've got it handled. A recent survey of 406 IT decision-makers and platform engineering leaders found 86% expressing exactly that confidence. Ask the same group whether they have a formal written AI governance policy, and the number drops to 30%, according to Spacelift's Infrastructure Automation Report ...

In MEAN TIME TO INSIGHT Episode 27, Shamus McGillicuddy, EMA VP of Research, Network Infrastructure and Operations, and Parker Hathcock, EMA Research Director covering IT Service/Operations (ServiceOps), discuss observability unification in modern IT operations ...