Jobs of the Future 2030
Equipping workers with the skills needed to succeed in an AI-driven economy.
This banking and fintech industry coalition will up-skill 100,000 banking workers in AI disciplines by 2030.
To join our campaign, get in touch with the team today.
Get in touchEquipping the UK for an AI-powered future
AI is reshaping jobs, industries, and entire economies—fast.
In the years ahead, few areas of life will remain untouched by the impact of Artificial Intelligence.
But the UK risks falling behind. A growing AI skills gap threatens our ability to compete globally. Nations that lead in AI will set the pace; others will depend on their breakthroughs.
To stay ahead, the UK must act now: upskill, and build AI fluency across the workforce—responsibly and inclusively. The fintech and tech sectors and the people who power them have a vital role to play.
Over five years, Jobs 2030 will offer educational modules in AI disciplines delivered with industry-aligned training, tailored specifically to the banking sector.
Opportunities and challenges for the UK banking industry
UK banks are expected to invest over £1.8 billion in Generative AI (GenAI) by 2030 to boost productivity, reduce costs, and improve customer experience.
These deployments are projected to save 187 million labour hours—mainly (82%) from back-office and compliance tasks.
The resulting cost savings, also estimated at £1.8 billion, represent a full return on investment, with half of these savings expected to come from back-office functions.
Projected savings from GenAI are expected to match the total investment, with £1.8 billion saved by 2030.
Alongside the significant opportunities for growth and AI reskilling, the GenAI shift also raises concerns about job displacement—particularly for employees at high street banks with extensive branch networks and outdated IT systems, both of which rely heavily on manual processes.
*Based on the industry study from Zopa Bank and Juniper Research “Generative AI: Transforming The UK Banking Sector” (2025)
Modules: 2026 roadmap
| Code | Module | Category |
|---|---|---|
chatINTRO1 | Introduction for all: How to craft a strong LLM prompt. | Generalist |
codeINTRO2 | Introduction to coding: Enabling basic levels of coding via GenAI for Robotic Process Automation. | Generalist |
acuteENG1 | Engineering: How to speed up time-draining processes with Gen AI. | Engineering |
support_agentAGT1 | Customer Service Agents: How to best interact with Gen AI tools to drive customer outcomes. | Operations |
constructionOPS1 | Ops Managers: How to build state-of-the-art solutions using AI. | Operations |
data_checkPM1 | Product Managers: Streamlining risk management with Gen AI. | Product |
category_searchPM2 | Product Managers: Supercharging product discovery with Gen AI for design thinking and research. | Product |
deployed_code_historyPM3 | Product Managers: How to product manage using "vibe coding". | Product |
policyCM1 | Compliance Managers: Using Gen AI for regulatory horizon scanning. | Compliance |
order_approveCM2 | Compliance Managers: Using GenAI for assurance on customer journeys and interactions. | Compliance |
securityGEN1 | AI Safety fundamentals in financial services. | Generalist |
An employee is considered up-skilled once they complete at least one piece of active learning through Jobs2030 training modules and receive a completion badge. This measure captures formal learning only, such as voluntary self-study modules, and excludes experiential learning (e.g. peer learning), which is harder to track consistently. For deeper development, employees can complete one of Jobs2030’s structured learning pathways, which combine multiple modules into a comprehensive learning experience. Jobs2030 follows the UK Financial Services Skills Commission definition of "up-skilling" and aligns with the Government’s Standard Skills Classification.*
To join our campaign, get in touch with the team today.
Get in touch