AI’s impact on the tech skills of tomorrow

AI is fundamentally altering our jobs and the tech skills we need to perform them. New research by ServiceNow and Pearson examines how AI will shape the evolution of workplace expertise over the next five years.

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The changing face of tech talent

Companies worldwide are grappling with a tech talent gap that could cost them $6.5 trillion by 2025, according to IDC. At the same time, automation technologies are disrupting global labor markets, automating some jobs entirely while augmenting others by removing boring, repetitive tasks. 

To compensate, business leaders must fundamentally rethink who and how they hire. By reskilling workers and placing them in higher-value roles, they can close the talent gap and position themselves for success in a world defined by human/AI partnership.


of global enterprises face a severe IT skills shortage

Source: IDC

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AI makes work more human

Future-proofing the workforce begins with understanding the effect AI will have on the skills employees need in the near future. This will inform how business leaders reskill their employees and hire new tech talent.

The more we allow machines to do the kind of things they’re good at, the less humans have to behave like machines.

Interestingly, the data shows that as automation eliminates repetitive tasks, the pendulum will swing toward the distinctly human skills of communication, creativity, and analytical thinking. Simply put, the more we allow machines to do the kinds of things they’re good at, the less humans will have to behave like machines. 

By taking on highly technical tasks, programs such as ChatGPT can open the door for people who have been overlooked by the tech industry. Business leaders can bridge the talent gap by tapping into new sources of talent—including non-tech workers whose skills transfer nicely into a more human-centric tech world.

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To fully understand AI’s effect on the skills and tech positions of the future, ServiceNow’s research partner, Pearson, tracked the likely impact of 16 disruptive technologies on more than 6,500 occupations in the U.S, U.K., Germany, India, Australia, and Japan. 

Pearson’s data scientists then created machine learning models to analyze the more than 30,000 skills and 26,000 tasks required to do these jobs, predicting the effect on each from automation and augmentation, and identifying the easiest migration paths to jobs of the future.


Dr. Richard George, Pearson’s VP of workforce apps and analytics, tells us more.

Insight into the global labor market

Tech Impact

Automation
Augmentation
Added Jobs

AI-driven modeling of technological transformation

Tasks (26,620)

Jobs are made up of tasks — discrete activities that require specific skills, knowledge and personal attributes to perform.

Occupations (5,608)

Using each country’s granular census or labor market data, we can map the distribution of jobs to our proprietary ontology. Our ontology is kept up to date by the processing of 10M job ads each month.

Workforce Data

Census and labor market datasets were sourced from the governments of U.S., U.K., Germany, Australia, India, and Japan.

person

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AI around the globe

Interaction models

USA
Predictive Analysis
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The tech worker deficit, country by country

Technology has shaped the workforce throughout history, perhaps no more so than today. Every industry will feel the push and pull of automation—some jobs will be eliminated, others augmented, and many created.

That said, not all countries will be affected equally. The data below reflects the total number of jobs—both traditional and tech-related—that could be augmented or automated, and how the effects will be balanced out with the growing demand for tech talent. 


By taking into account the existing tech talent gap and combining it with the tech jobs needed to support the growing demand for global digital transformation, we find that automation will create new opportunities. With the right reskilling, non-tech workers whose jobs are affected by AI can step into the tech roles of the future.

Workforce automatable

These FTEs in roles affected by automation will need reskilling and upskilling.

Capacity gain from augmentation

This is the equivalent capacity gained in 5 years due to augmentation. Workers in roles benefitting from augmentation will have fewer routing tasks, so will benefit from upskilling to maximize their impact in the remaining non-augmentable tasks.

ServiceNow is uniquely placed to use workplace data insights to enable the future of work through our market job specializations.

Potential tech jobs added

These additional jobs will also require training and reskilling.

United States deficit of workers

5.9M

4.9M

23.5M

India deficit of workers

4.7M

4.6M

16.2M

Germany deficit of workers

1.2M

1.3M

5M

Australia deficit of workers

0.4M

0.3M

1.4M

2027

2025

United Kingdom deficit of workers

1.2M

1.3M

5M

Japan deficit of workers

1.6M

2M

7.9M

Capacity gain* %

Wholesale and retail trade

Manufacturing

Administrative and support services

Accommo-dation and

food service

Health and social care

Automation %

2.3M

2.1M

2.6M

1.8M

6.3M

United States

Productivity gains from automation and augmentation through 2027

Capacity gain* %

Professional, scientific &
technical services

Manufacturing

Administrative & support services

Wholesale &

retail trade

Health &
social care

Automation %

400K

498K

512K

524K

1.12M

United Kingdom

Productivity gains from automation and augmentation through 2027

Capacity gain* %

Automation %

Wholesale and retail trade

Manufacturing

Administrative &
support services

Professional,
scientific &
technical
services

Health &
social care

493K

1.37M

484K

380K

769K

Germany

Productivity gains from automation and augmentation through 2027

Other service activities

Financial &
insurance

Manufacturing

Accomodation
& food service

Wholesale &
retail trade

Health & social care

Transportation & storage

457K

1.82M

346K

524K

2.3M

536K

341K

Capacity gain* %

Automation %

Japan

Productivity gains from automation and augmentation through 2027

Capacity gain* %

Automation %

International

organization services

Manufacturing

Agriculture, forestry & fishing

Wholesale &
retail trade

Construction

Transportation & storage

3.65M

1.31M

1.27M

858K

3.74M

1.88M

India

Productivity gains from automation and augmentation through 2027

Capacity gain* %

Automation %

Financial & insurance

Manufacturing

Professional, scientific
& technical services

Wholesale & retail trade

Health & social care

Transportation
& storage

78K

142K

123K

110K

384K

143K

Australia

Productivity gains from automation and augmentation through 2027

Circle size indicates number of automatable jobs.

*Capacity gain is time freed up from use of augmentation technologies

Industries across countries will be affected by AI differently. 

In the U.K., Japan, and the U.S., automation will affect twice as many workers in retail as in any other major industry. But it will also create twice as many new tech jobs for people who know how to put these technologies to work. In fact, 1 million additional full-time tech jobs will be created to support the implementation of emerging technologies in the U.S. retail industry.

In India, however, where physical processes have yet to be as altered by automation as they are in other countries, the manufacturing industry will experience the greatest change. Click below to see how industries will fare by country.


Talent transformation by industry

The global workforce is at an inflection point, with AI driving opportunities for those with access to the right training.

Consider this: By 2027, within the ServiceNow ecosystem in the six countries surveyed, more than 1 million additional jobs matching existing roles will be required to support advances in technology. In addition, the research identified eight in-demand roles for which ServiceNow currently doesn’t have skills profiles. Over five years, these future roles will create more than 1.5 million jobs across our surveyed markets.

Based on this data, Servicenow is working to expand its skills portfolio, worker profiles, and credentials—but this is not a ServiceNow-specific phenomenon. As AI reshapes jobs and the expertise needed to perform them, business leaders should prepare by developing the training pathways their employees need to successfully reskill for these future roles.

New roles lead to new opportunities

Talent requirements by role in 2027

Application

Developers

Implementation

Engineers

Technical

Architects

Systems

Administrators

Process

Analysts

Jobs added

Current ServiceNow roles

250K

200K

150K

100K

50K

0K

Data

Analyst

Platform

Owners

Product

Owners

Flow

Automation

Engineers

Technical

Project

Managers

Machine

Learning

Engineers

Change/

Adoption

Specialists

Help Desk

Support

Agents

Jobs added

Future "net-new" ServiceNow specializations

250K

200K

150K

100K

50K

0K

USA

GBR

IND

DEU

JPN

Now that we understand which industries will be affected by AI, we can identify workers in each of those industries whose skills are the most easily transferable to the tech jobs of the future.

For example, we know that manufacturing will be a highly affected industry in India. But our research shows that fishery workers in India have the core skills to become help-desk agents. Developing these and other career migration paths is especially important given the effect of automation on these positions and the need for new tech talent across the board.

Tapping into transferable business skills

Reskilling opportunities in the United States

Reskilling opportunities in the United Kingdom

Reskilling opportunities in Germany

Reskilling opportunities in Japan

Reskilling opportunities in India

Reskilling opportunities in Australia

FTEs at risk, 2027

Unimpacted FTEs, 2027

Top matched ServiceNow role (Job fit %)

The research has also revealed ways in which certain existing positions will evolve when augmented by AI.

Using the role of system administrator as an example, we found that 9.3% of their current tasks could be automated and 39.7% of their tasks could be augmented. This will lead to up to 13 hours each week being freed up by AI automation and augmentation. Based on an analysis of 32 capabilities identified as crucial to all roles of the future, sysadmins must be highly proficient in these five areas by 2027:

  • Foundational IT skills
  • Cyber awareness
  • Digital collaboration
  • Digital communication
  • Learning

Ideally, sysadmins should use this opportunity to learn new skills or train for a new role to help move the business forward. On the flip side, business leaders should identify opportunities to keep their sysadmins motivated, engaged, and on a career growth plan. When viewed through this lens, upskilling to relevant, future-demand roles is key to staff retention.

AI’s impact by role

AI's impact by task, time, and proficiencies

Impact on tasks

Hours freed up by

automation/augmentation

Five areas of profficiency by 2027

  • Foundational IT
  • Digital collaboration
  • Learning
  • Machine learning & AI
  • Statistics & predictive models

System administrator

Impact on tasks

Hours freed up by

automation/augmentation

Five areas of profficiency by 2027

  • Foundational IT
  • Statistics & predictive models
  • Machine learning & AI
  • Cyber awareness
  • Programming

App developer

Impact on tasks

Hours freed up by

automation/augmentation

Five areas of profficiency by 2027

  • Foundational IT
  • Statistics & predictive models
  • Machine learning & AI
  • Cyber awareness
  • Programming

Process analyst

Five areas of profficiency by 2027

  • Personal learning & mastery
  • Achievement focus
  • Foundational IT
  • Agility
  • Collaboration

Impact on tasks

Hours freed up by

automation/augmentation

Implementation consultant

Five areas of profficiency by 2027

  • Foundational IT
  • Critical thinking Personal learning & mastery
  • Digital collaboration
  • Learning
  • Digital communication

Impact on tasks

Hours freed up by

automation/augmentation

Implementation engineer

Five areas of profficiency by 2027

  • Foundational IT
  • Statistics & predictive models
  • Machine learning & AI
  • Cyber awareness
  • Programming

Impact on tasks

Hours freed up by

automation/augmentation

Junior app developer

Five areas of profficiency by 2027

  • Foundational IT skills
  • Cyber awareness
  • Digital collaboration
  • Digital communication
  • Learning

Impact on tasks

Hours freed up by

automation/augmentation

Technical architect

Five areas of profficiency by 2027

  • Digital communication
  • Cyber awareness
  • Research & problem solving
  • Operationalizing data
  • Learning

Impact on tasks

Hours freed up by

automation/augmentation

Master architect

System administrator

App developer

Process analyst

Implementation consultant

Implementation engineer

Junior app developer

Technical architect

Master architect

Meet Cheyenne Saulnier

Cheyenne Saulnier always had a penchant for technology, but she never thought she would find her place in the IT industry. After all, she was working in the mailroom—not your traditional route to a high-paying tech position. When her strong communication and service skills were noticed by IT leaders within her organization, she was invited to train as a ServiceNow system administrator.

Cheyenne’s story is notable but not unique. As technology platforms become more accessible, it becomes easier for people without programming and other tech-related backgrounds to work in IT. All they need is a desire to learn and access to the right training programs.

From the mailroom to sys admin standout

As AI becomes more embedded in the workplace, leaders who ignore its impact on the workforce do so at their own peril. Yet, while disruption is inevitable, there will be tremendous opportunities to create new, more human—and, yes, more productive—ways of working.


RiseUp with ServiceNow is a new global training initiative created to spark our tech talent transformation. By building comprehensive programs accessible to anyone with the desire to learn, we open doors to the tech roles of the future. When we connect with and cultivate a new breed of IT worker, we fill the tech talent gap—and that’s a win for our organization, employees, partners and, ultimately, our customers.

Tech talent training for 2027

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