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PwC Report Highlights AI’s Growing Impact On The Labour Market

by THEFUTURE.TEAM

June 22, 2026

The Two-Track Future Of Work

In a comprehensive study of over one billion job listings across six continents, PwC has revealed how artificial intelligence is fundamentally reshaping the global labor market. Their 2026 AI Jobs Barometer illuminates a dual trajectory where AI not only augments decision-making and creativity but also creates distinct professional and democratised career paths.

Professionalised And Democratised Roles

PwC’s findings suggest the emergence of a “two-track” labour market. In professionalised roles, including radiology and recruitment, AI helps automate routine tasks, placing greater emphasis on human judgement and expertise. Democratised roles, such as IT service management and medical secretarial work, are shaped by AI’s ability to simplify tasks for people without specialised knowledge.

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Robust Growth And Enhanced Compensation

According to the report, professionalised roles are experiencing twice the job growth and salary increases that are 42% faster than those recorded in democratised roles. Companies with greater exposure to AI are also seeing stronger headcount growth. Employment at these firms increased by 53%, compared with 36% among their less-exposed peers, while wage growth reached 24% versus 17%.

Productivity Gains And Superstar Performers

PwC also examined the relationship between AI and productivity. The top 20% of companies with the highest levels of AI integration recorded a 163% increase in labour productivity since 2018. Across AI-exposed sectors, productivity growth reached 34% compared with previous years.

Rising Demand For AI-Specific Expertise

Demand for jobs requiring AI-related skills, including prompt engineering and machine learning, is growing almost eight times faster than the overall market. Since 2019, the number of AI-specific roles has increased by 69%, compared with 8.6% growth across the broader job market. Wage premiums for professionals with AI skills also increased, reaching 62%, up from 57% a year earlier.

Implications For Entry-Level Roles

AI-exposed occupations are increasingly requiring skills typically associated with more senior positions, including leadership, creativity, and interpersonal communication. As a result, openings for these “seniorised” positions increased by 35%, while entry-level roles in other sectors declined by 10%. According to PwC, these trends show how AI is influencing job requirements and productivity across industries.

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Mirendil Signs $100 Million Google Cloud Deal To Advance Self-Improving AI

by News Editor

August 6, 2026

AI startup Mirendil has signed a multi-year agreement worth more than $100 million with Google Cloud to secure computing infrastructure for its self-improving AI research.

The partnership reflects growing competition among AI companies to lock in access to high-performance computing, while cloud providers race to attract promising startups developing next-generation AI models.

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Backing The Next Stage Of AI Research

Mirendil plans to use Google’s Tensor Processing Units (TPUs), Nvidia GPUs and managed training infrastructure to develop AI systems capable of improving their own performance over time.

Known as recursive self-improvement, the concept focuses on building AI that can refine its knowledge and capabilities with minimal human intervention. The technology is attracting growing interest across the industry, with several startups and leading AI labs exploring similar approaches.

According to co-founder and Chief Executive Behnam Neyshabur, the long-term goal is to develop AI that can automate scientific research and accelerate discoveries in fields such as medicine, biology and materials science.

Compute Capacity Becomes A Strategic Asset

Training increasingly advanced AI models requires enormous computing resources, making long-term infrastructure agreements a critical competitive advantage.

Mirendil said Google’s combination of TPUs and GPUs allows workloads to be matched with the most suitable hardware, improving efficiency while reducing costs for customers.

For Google Cloud, the agreement strengthens its position in the race to provide infrastructure for frontier AI developers, while giving the company exposure to one of the industry’s emerging approaches to next-generation artificial intelligence.