Every story in this issue with a short summary, so you can decide what to read before leaving the site. Summaries are written by AI (Claude) only from each publisher's own description and checked by Jev for anything not in that description. They are not full translations. Follow "Read the original" for the full story.
New research finds AI is saving employees time, but 46% face rising workload expectations and 69% report burnout. The study points to hidden work and growing pressure.
Read the original →OpenAI, Oracle, ServiceNow, Microsoft and Google are pushing enterprise AI beyond prompts. The focus is on workflows, persistent tasks and verifiable outputs.
Read the original →NVIDIA CEO Jensen Huang's optimistic assessment of Astana's ambitions and a $10 billion package of agreements have cemented Kazakhstan's status as a future "AI factory for Europe." The article asks whether the country can monetise its energy resources and build a digital economy, or whether it will remain a rented site for other people's hardware.
Read the original →95% of HR leaders say staff use AI daily in roles where AI isn't in the job description.
Read the original →Sustainability professionals can use the research to pitch for resources and build stronger teams.
Read the original →Voters in 10 states decide 41 data-center measures on Tuesday. BofA economists warn that a sustained AI correction is a major risk to the global economy.
Read the original →Global data center electricity demand has reached 415 TWh and is set to nearly double by 2030. It is straining grids and sparking community opposition worldwide.
Read the original →Chinese green energy company Envision Group said it is deploying new technology to help power data centers with renewables.
Read the original →Investors are weighing what a Democratic sweep in this week's US midterm elections could mean for markets. Kairos strategist Alessandro Fugnoli believes a Democratic Congress could create greater political friction in Washington.
Read the original →The Central Bank of Kenya (CBK) has identified nearly 300 artificial intelligence (AI) use cases across 14 departments.
Read the original →The build-out of AI infrastructure is one of the largest private investment programmes in modern history. Spending on AI data centres, covering chips, networking, land, buildings and power, is around $1 trillion in 2026 on the author's estimates. Nvidia, the largest supplier into the build, expects annual spending of $3-4 trillion by 2030.
Read the original →UBS on Monday raised its aggregate AI capital expenditure forecasts to $1 trillion for 2026 and $1.4 trillion for 2027. It also introduced a $1.5 trillion estimate for 2028, citing stronger spending commitments from major hyperscalers.
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