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European Beer Production Hits Record 34.7 Billion Litres in 2024

Overview

In 2024, the European Union surpassed a significant milestone by producing 34.7 billion litres of beer. The cumulative total includes 32.7 billion litres of beers containing more than 0.5 per cent alcohol and an additional 2 billion litres of beers that are either low or non-alcoholic. This achievement underscores the dynamic nature and resilience of the EU’s brewing industry.

Evolving Production Trends

The production volume for traditional alcoholic beers increased marginally by 0.6 per cent, amounting to an extra 0.2 billion litres compared with 2023. Contrasting this modest growth, production of low- and non-alcoholic beers surged by a robust 11.1 per cent across the bloc, also representing an increase of 0.2 billion litres. This shift reflects the evolving consumer preferences and market responsiveness within the beverage sector.

Leaders in Production

Germany continued to dominate the production landscape by brewing 7.2 billion litres of beer, exceeding 0.5 per cent alcohol, accounting for 22.2 per cent of the total EU output. Spain followed in second place with 4.0 billion litres (12.3 percent), while Poland contributed 3.4 billion litres (10.6 percent). The Netherlands and Belgium secured the fourth and fifth positions, with 2.2 billion litres (6.8 percent) and 2.1 billion litres (6.3 percent), respectively.

Trade Insights and Export Dynamics

Trade data from Eurostat reveals notable export activities within the region. Cyprus, for instance, exported nearly 7 million litres of beer in total, of which approximately 1.31 million litres were shipped to non-EU markets, while 5.67 million litres were destined for other EU member states. The Netherlands emerged as the leading exporter of alcoholic beer, with total exports reaching 1.5 billion litres. However, this figure represents a 12 per cent decline compared with 2023. Germany and Belgium each exported 1.4 billion litres, followed by Czechia at 0.6 billion litres and Ireland at 0.5 billion litres.

Import Dynamics

On the import side, France maintained its position as the largest importer of alcoholic beer in the EU with 0.8 billion litres in 2024, while Italy imported over 0.7 billion litres. Both Spain and Germany imported close to 0.6 billion litres each. Additionally, the Netherlands, despite being the top exporter, also recorded imports nearing 0.5 billion litres, revealing a balanced trade dynamic.

The data not only underscores the robust nature of the EU’s beer industry but also highlights the shifting patterns in both production and trade, driven by consumer preferences and international market strategies. As the industry evolves, these trends will be crucial for stakeholders evaluating future investments and policy directions in the European beverage sector.

AI Spending Is Complicating The Fed’s Fight Against Inflation

Silicon Valley leaders have long argued that artificial intelligence will make technology and services dramatically cheaper. OpenAI CEO Sam Altman has described a future where intelligence becomes extremely inexpensive, while Tesla and SpaceX CEO Elon Musk has predicted that AI and robotics will create greater abundance and drive down costs.

So far, those benefits have yet to materialise at scale. AI adoption remains relatively slow, while the enormous investment needed for data centres and AI infrastructure is putting pressure on electricity prices, supply chains and other costs. For the Federal Reserve, this creates a difficult balancing act: AI could eventually boost productivity and reduce inflation, but its current buildout is contributing to higher prices.

OpenAI chief economist Ronnie Chatterji said AI needs to be adopted by organisations and generate measurable value before its broader economic impact becomes visible in productivity statistics.

AI Adoption Remains Uneven

Capital spending on AI infrastructure in the U.S. is expected to reach $581 billion this year, according to Goldman Sachs Research, with global investment potentially reaching $1 trillion.

Despite the scale of spending, adoption remains far from universal. A May survey by the U.S. Census Bureau found that 17% to 20% of U.S. businesses reported using AI, with adoption significantly higher among large companies.

Companies that have implemented AI at scale also highlight the challenges. Julie Averill, former CIO of Lululemon, said successful deployment requires changes in employee behaviour and trust in the technology. OpenAI has observed a similar divide: its most advanced business users deploy AI at around eight times the rate of average companies.

Why Productivity Gains May Take Time

Economists point to the limits of automation. AI can perform individual tasks effectively, but many jobs combine tasks that are difficult to automate.

Stanford professor Charles Jones refers to these as “weak links”. Radiology, for example, involves interpreting scans but also communicating with patients and working with colleagues. AI can automate part of the job without eliminating the profession itself.

As a result, the full economic impact of AI may not become clear until businesses adopt the technology more broadly and reorganise their operations around it.

AI Adds To The Fed’s Policy Challenge

AI’s economic impact has become part of the Federal Reserve’s policy debate. Fed Chairman Kevin Warsh has argued that AI could eventually become a significant disinflationary force by increasing productivity and strengthening U.S. competitiveness.

Other officials are more cautious. In July, the Fed kept interest rates at 3.5% to 3.75%, while some officials expressed concern that AI infrastructure spending could add to inflationary pressures.

Minneapolis Fed President Neel Kashkari pointed to massive data-centre investment as a new source of demand. Household electricity prices rose 10% in the two years through July, compared with a 6.2% increase in overall consumer prices. Meanwhile, shortages of chips and other AI components are pushing up costs. JPMorgan Chase estimates that DRAM prices could rise 400% by the end of 2026 compared with 2024.

Warsh has consequently adopted a more cautious tone, saying that while AI investment is laying the groundwork for future growth, the timing and scale of its economic effects remain difficult to predict.

For the Fed, the challenge is clear: AI could eventually deliver major productivity gains, but the cost of building that future is already showing up in the economy.

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