AI Safety Report 2026: New graduates face hiring difficulties and Webro retrains 100,000 employees
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Recent data released in the International AI Safety Report 2026, published through the UK government, reveal a deep structural shift affecting global labour markets, where automation is no longer merely an option to improve efficiency but has become a direct pressure point on traditional hiring gates, especially for talent at the start of their careers.
Steven Clare, chief author of the international report, noted evidence that workers at the beginning of their careers in the occupations most exposed to AI systems are today facing increasing difficulty securing jobs, at a time when the use of these tools is expanding to include nearly a billion people worldwide performing editing, text generation, research and computer programming tasks.
Automation no longer targets mechanical tasks alone but is reshaping the minimum requirements for entry into the specialised labour market.
According to the international report data, about 60 % of jobs in advanced economies and 40 % in emerging economies fall within the direct impact zone of AI, depending on how companies and staff adopt the technologies. These figures coincide with broad restructuring waves at major global corporations, with Amazon cutting 16,000 jobs in a second round of layoffs over three months, while Pinterest eliminated 780 positions to redirect resources toward AI investment.
Conversely, a survey by the International Settlements Bank conducted in September 2025 confirms that generative AI delivered productivity gains ranging from 10 % to 65 % and time-management efficiency improvements between 20 % and 50 %, with those gains appearing especially in programming, consulting and specialised writing sectors.
This reality has prompted large service and technology firms to rebuild their organisational structures, as Indian tech company Webro announced that its use of AI tools saved operational capacity equivalent to 20,000 employees, who were redeployed to other tasks and roles within the organisation. Sandhya Aron, senior technology officer at Webro, explained that the company is currently training more than 100,000 staff in advanced AI skills as part of a full transition to what it describes as a hybrid human-machine operating model, with rising demand for chatbot engineering and machine-learning-based programming.
The shift toward a hybrid work model requires replacing manual execution skills with inspection, auditing and control of software outputs.
The actual impact of this equation extends to labour markets in the Gulf, Egypt and Jordan, where major organisations and tech firms are reducing reliance on entry-level roles dedicated to writing initial code or drafting routine reports. A developer, writer or consultant in the region is no longer required to put in longer hours but to demonstrate the ability to steer generative tools and verify the technical and legal soundness of outputs; tasks that once served as field training for a new graduate are now performed automatically, raising the baseline hiring threshold and making proficiency in programmatic interaction with models an early prerequisite rather than an added advantage.