20+ AI Automation Statistics (2025)

jobs expected to be displaced by AI and machine learning by 2030, but 170 million new roles will be created

From the WEF's Future of Jobs Report 2025. Net job creation is 78 million, but significant workforce disruption is expected.

cashier and ticket clerk jobs projected to be lost by 2030, the most of any single role

Administrative assistants (6M+), cleaners (2.5M+), and stock-keeping clerks (2M+) are also among the most at-risk roles.

of generative AI users are looking to automate tasks at work

Automation of repetitive work tasks is the top motivation for workplace AI adoption, ahead of communication and learning.

faster skill change in AI-exposed jobs compared to jobs not exposed to AI

From PwC's 2025 Global AI Jobs Barometer. Change is fastest in automatable jobs, more than 2.5× faster than last year.

of companies now use AI in at least one business function, up from 78% the year prior

Almost 9 in 10 organisations have adopted at least one AI tool. 90% are either already using AI or plan to introduce it.

of industries are increasing their use of AI, including less-obvious sectors like mining and agriculture

Every single industry is increasing AI adoption. AI automation is not limited to tech, it spans the entire economy.

of organisations are at least experimenting with AI agents, 23% are already scaling them

From McKinsey's 2025 State of AI survey. Agentic AI, which can take autonomous multi-step actions, is the next frontier of automation.

of AI-using organisations have adopted fully centralised AI hubs or centres of excellence

Centralisation is most common in risk and compliance (57%) and data governance (46%). Decentralised models are more common for tech talent.

of salespeople's time is spent on non-selling tasks that AI can automate, service reps spend 66% on admin

AI automation frees the majority of sales and service workers' time for customer-facing, high-value activities.

of workers say AI has improved their productivity, over a third report a 'significant' improvement

Productivity gains from AI automation are nearly universal among users. Only 2.72% report decreased productivity.

more weekly projects completed by AI-assisted programmers, the largest measured automation gain

AI coding assistants automate boilerplate, testing, and documentation, more than doubling developer output.

of employees pay for their own AI tools at work, taking automation into their own hands

With 50.11% receiving little or no training, employees are self-funding AI automation. 50.2% use personal AI accounts for work.

potential revenue contribution from AI technology by 2030, boosting global GDP by 26%

PwC estimates AI could generate $15.7 trillion in revenue by the end of the decade through automation and augmentation.

AI contribution to manufacturing by 2035, the largest of any single industry

Manufacturing, wholesale & retail ($2.23T), and professional services ($1.85T) stand to gain the most from AI automation.

of retailers cite reduced operational costs from AI automation

Nearly all retailers using AI report lower operational costs. AI chatbots boost conversions by up to 35%; 87% say AI positively impacts revenue.

reduction in operations costs at major US banks through AI automation, with 40% fewer processing errors

Banking AI automation also cut audit preparation times by 50%. Compliance monitoring is one of the fastest-growing AI automation use cases.

net new jobs expected from AI by 2030, the creation of 170M new roles minus 92M displaced

Enterprise sign-ups to AI courses on Coursera have exceeded 200,000 as organisations race to re-skill their workforces.

of tech workers are using AI tools, up from just 14% in 2024

The tech sector's near-universal AI adoption previews what other industries will experience as automation matures.

of customer service cases expected to be resolved by AI by 2027, up from 30% in 2025

Automation is moving from task-level to full case resolution. By 2027, half of all service interactions may require no human input.

wage premium for workers with AI skills vs. the same role without

Up from 25% the year prior. As automation reshapes roles, AI-skilled workers command a growing premium across every industry.