Which capabilities are gaining or losing demand, and where is the evidence visible?
Verdant estimates about 10,400 direct jobs across planned facilities; techUK projects 40,200 additional operational roles by 2035 under a growth scenario. Those are not the same population, baseline or time horizon.
A new study finds gaps in literacy, disciplinary application and responsible use across the UKRI-supported community. Its proposed user typology could turn fragmented provision into navigable pathways.
New graduate-outcomes figures show fewer computer science graduates entering coding roles. The data is a curriculum and early-career design signal, but it does not isolate AI as the cause.
US postings that mention AI skills rose 165% year over year, yet official business-use data remains uneven. The gap is a measurement warning for workforce planners.
A Taggd–CII report says 52% of surveyed GCCs plan to expand in FY27, while critical roles remain slow to fill and 80% offer generative-AI training. The numbers point to pipeline design, not a single shortage score.
The IT services group says AI-created productivity freed capacity equivalent to 20,000 employees and that people were redeployed. The decision signal is in the new work and outcome measures, not the headline number.
A new working paper models why broad access to AI may still leave productivity gaps intact. Human capital appears as a threshold for mobility, not a simple input with a guaranteed return.
The bank’s 2027 graduate materials now combine practical AI use with responsible application and judgement. The harder question is how candidates will demonstrate that capability fairly.
A five-country LinkedIn comparison finds a wider junior-hiring gap in occupations designed to combine AI-replicable and human skills, while broader declines argue against a simple AI-replacement story.
