New research from Pearson, a global leader in lifelong learning, reveals that artificial intelligence (AI) and automation are changing the game for tech talent. Rather than hiring externally to fill skill gaps, businesses can redesign roles to better use the workers they already have.
In their latest report, Skills Outlook: Solving the Tech Talent Gap from Within, Pearson studied how five of the most in-demand tech jobs in the UK are likely to evolve over the next five years. The focus? How AI tools like large language models (think ChatGPT) and robotic process automation (RPA) could save workers nearly a full day each week by 2029.
This shift means companies don’t necessarily need to find new people — they can simply help current employees evolve with the job. It’s a smarter way to stay competitive and support job security.
Why Role Redesign Matters
Instead of replacing talent, Pearson’s research encourages companies to rethink job roles. Leaders are urged to use the time saved through automation to help employees upskill — building internal talent, boosting efficiency, and preparing for the future.
According to Oliver Latham, Regional Sales Lead at Pearson, “Generative AI is transforming the workplace fast. Businesses that don’t evolve their training and development strategies will fall behind. Role redesign is the key to bridging talent gaps and growing stronger.”
AI’s Impact on Five Key Tech Roles
Here’s how technology is expected to save time — and reshape roles — in the tech industry by 2029:
1. Systems Software Developers
- Time saved: 5.2 hours/week
- Biggest tech impact: Software robotics (RPA)
- New role focus: Creative software design, security upgrades, and team collaboration.
2. Computer Programmers
- Time saved: 6.7 hours/week
- Biggest tech impact: AI chatbots (LLMs)
- New role focus: Advanced algorithm design and system architecture, while AI handles routine coding.
3. Computer Systems Engineers/Architects
- Time saved: 5.2 hours/week
- Biggest tech impact: LLMs
- New role focus: Strategic planning, system integration, and AI collaboration.
4. Computer Systems Analysts
- Time saved: 6.8 hours/week
- Biggest tech impact: LLMs
- New role focus: Turning data into business strategies and managing large tech changes.
5. Computer Network Architects
- Time saved: 7.8 hours/week
- Biggest tech impact: RPA
- New role focus: Designing next-gen networks and ensuring cybersecurity for the future.
The Bottom Line
By embracing AI and automation, tech companies can redesign roles to make the most of their current workforce. This not only helps close the skills gap but also gives employees more meaningful, future-focused work.
