Housing in Europe has become increasingly unaffordable as prices and rents have outpaced income growth over the past decade. Structural factors—limited housing supply, rising construction costs, higher interest rates, and pressure from short-term rentals—have intensified the crisis. The burden falls disproportionately on low-income households and younger generations, deepening inequality. Despite policy initiatives, current efforts remain insufficient to address the scale of

Monetary policy should generally “look through” temporary energy-driven inflation shocks, as tightening can disproportionately harm vulnerable households. However, a stronger response is needed if such shocks spill over into core inflation or cause inflation expectations to become persistently de-anchored, requiring central banks to act to maintain price stability.

England records around 30,000 excess deaths every winter: 30% more people die daily in January than August. Respiratory disease, cardiovascular conditions, and dementia drive the seasonal surge, amplified by cold homes and an ageing population. The pattern is strikingly consistent across a decade of ONS data, and largely preventable.

Digital expansion abroad often reduces performance at first due to rising complexity and costs. Only after firms scale, learn, and integrate physical and digital operations do benefits emerge, turning early losses into long-term gains.

Safe AI in healthcare requires strict governance, bias testing, and transparency before and after deployment. Systems must ensure diverse data, subgroup accuracy, explainability, and human oversight, while continuously auditing performance. Strong policies, accountability, and clinician control are essential to prevent harm, ensure fairness, and build trust in AI-driven care.

AI in healthcare can reproduce biases, leading to unequal outcomes across gender, ethnicity, and socioeconomic groups. Addressing this requires diverse data, transparency, auditing, and strong governance to ensure fair and safe care.