Oxford Economics
Economic forecaster; set the $140 oil recession threshold now $14 from being tested.
Last refreshed: 28 March 2026 · Appears in 2 active topics
Oxford Economics set the number: $140 oil triggers recession. Brent hit $126. How close are we?
Latest on Oxford Economics
- What is Oxford Economics' oil recession forecast?
- Oxford Economics assessed that Brent Crude at $140/barrel triggers a mild global recession at -0.7% GDP. With Brent peaking at $126, the threshold was $14 away.Source: Oxford Economics
- What is Oxford Economics?
- An independent economic forecasting firm founded in 1981 as an Oxford University offshoot. It employs ~400 economists and produces macro forecasts for 200+ countries.
- What did Oxford Economics say about AI layoffs?
- Its January 2026 research concluded that AI's role in layoffs is 'overstated,' finding fewer than 5% of companies report direct AI-driven workforce reductions.Source: Oxford Economics
- Will oil prices cause a recession in 2026?
- Oxford Economics set $140/barrel as the recession trigger. Goldman Sachs warned Brent could exceed the 2008 record of $147.50 if Hormuz flows stay depressed for 60 days.Source: Oxford Economics / Goldman Sachs
Background
Founded in 1981 as a commercial offshoot of Oxford University's business faculty, the firm employs roughly 400 economists across 30 offices and produces quantitative macro forecasts for 200+ countries. Its models integrate energy, labour and geopolitical inputs into a single framework, giving it cross-topic reach.
Oxford Economics set the recession threshold that has become the benchmark for the Iran conflict's economic debate: Brent Crude at $140 per barrel triggers a mild global recession at -0.7% GDP. With Brent peaking at $126 on 22 March, the market sat just $14 away. Its concurrent recession warning with Deutsche Bank on 16 March helped trigger a 600-point Dow drop.
That reach is visible in Lowdown's AI/jobs coverage: Oxford Economics concluded in January 2026 that AI's role in layoffs is "overstated," finding fewer than 5% of firms report direct AI-driven workforce reductions. This positioned it as a counterweight to Yale Budget Lab's "AI washing" finding that companies attribute restructuring to AI when the driver is conventional cost-cutting.