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Decline in Beer Consumption in Germany: Non-Alcoholic Varieties On The Rise

Beer consumption in Germany is set to decline further in 2024, continuing a long-term downward trend in the country renowned for its beer culture, according to the German Brewers Association, as reported by DPA.

Key Facts:

  • Final sales figures for 2024 are anticipated to be weaker than 2023, which saw the lowest beer sales volume in decades, with only 8.4 billion liters sold.
  • In November 2024, beer consumption fell by 2.1% compared to the same period the previous year, though December’s data has not yet been gathered.
  • Christian Weber, President of the Brewers Association, pointed to factors such as bad weather, inflation, and fluctuations in consumer spending as contributing to the decline in beer sales.

What To Follow 

Amid this decline, many of the approximately 1,500 breweries in Germany are pinning their hopes on non-alcoholic beer varieties to counteract the drop in traditional beer sales.

In 2023, Germans consumed approximately 670 million liters of non-alcoholic beer, with this category accounting for 8.9% of the total beer market by the end of 2024, according to Nielsen data cited by the Brewers Association. Non-alcoholic beer has thus become the third most popular beer type in Germany, after pilsner and lager (helles). This shift toward non-alcoholic options is partly driven by a broader trend toward healthier lifestyles.

The aging population is another contributing factor, with fewer people consuming beer overall, further impacting per capita beer consumption.

Mirendil Signs $100 Million Google Cloud Deal To Advance Self-Improving AI

AI startup Mirendil has signed a multi-year agreement worth more than $100 million with Google Cloud to secure computing infrastructure for its self-improving AI research.

The partnership reflects growing competition among AI companies to lock in access to high-performance computing, while cloud providers race to attract promising startups developing next-generation AI models.

Backing The Next Stage Of AI Research

Mirendil plans to use Google’s Tensor Processing Units (TPUs), Nvidia GPUs and managed training infrastructure to develop AI systems capable of improving their own performance over time.

Known as recursive self-improvement, the concept focuses on building AI that can refine its knowledge and capabilities with minimal human intervention. The technology is attracting growing interest across the industry, with several startups and leading AI labs exploring similar approaches.

According to co-founder and Chief Executive Behnam Neyshabur, the long-term goal is to develop AI that can automate scientific research and accelerate discoveries in fields such as medicine, biology and materials science.

Compute Capacity Becomes A Strategic Asset

Training increasingly advanced AI models requires enormous computing resources, making long-term infrastructure agreements a critical competitive advantage.

Mirendil said Google’s combination of TPUs and GPUs allows workloads to be matched with the most suitable hardware, improving efficiency while reducing costs for customers.

For Google Cloud, the agreement strengthens its position in the race to provide infrastructure for frontier AI developers, while giving the company exposure to one of the industry’s emerging approaches to next-generation artificial intelligence.

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