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DeepSeek Gives European Companies A Chance To Close The AI Gap

IIn the world of artificial intelligence, the rise of DeepSeek is offering European companies a significant opportunity to level the playing field. Hemanth Mandapati, the CEO of the German startup Novo AI, was among the first to shift from OpenAI’s ChatGPT to the Chinese AI model, DeepSeek, just two weeks ago. Speaking at the GoWest conference in Gothenburg, Sweden, Mandapati explained how easy it was to migrate.

“If you’ve already built your app with OpenAI, migrating to other models is simple… it only takes us minutes,” Mandapati said in an interview.

DeepSeek’s entry into the AI landscape is having a significant impact, particularly on pricing models. Interviews with startup leaders and investors reveal that the company’s affordable pricing structure is forcing competitors to reconsider their pricing and improve their models. According to Mandapati, DeepSeek’s pricing is five times lower than what competitors offer.

“DeepSeek offered pricing that was five times cheaper than competitors,” Mandapati explained. “I’m saving a lot of money, and users won’t notice any difference.”

European startups have long faced challenges in keeping pace with their American counterparts, primarily due to easier access to funding and resources. However, with DeepSeek’s cost-effective technology, European companies now have a chance to close the gap.

“This is a huge step toward democratizing AI and leveling the playing field with major tech giants,” said Seena Rejal, CEO of Netmind.AI, a UK-based company and one of DeepSeek’s early users.

Research from Bernstein analysts shows that DeepSeek’s pricing is 20 to 40 times lower than OpenAI’s. For example, OpenAI charges $2.50 for every $1 million in input tokens, while DeepSeek charges just 0.014 dollars for the same amount.

Despite the promising advantages, there are regulatory concerns. DeepSeek is under investigation in several European countries to determine whether it has copied data from OpenAI or if it is censoring responses to avoid negative portrayals of China.

A Shift In The AI Market

In 2024, the U.S. saw nearly $100 billion in venture capital investments in AI companies, while Europe only managed $15.8 billion, according to PitchBook data. Meanwhile, U.S. President Donald Trump recently unveiled Stargate, a $500 billion joint venture between OpenAI, SoftBank, and Oracle.

In Europe, investments in AI remain modest. However, some companies, like France’s Mistral, are managing to compete with the major players such as OpenAI, Meta, and Google. DeepSeek caught attention after it was revealed that the cost of training its DeepSeek-V3 model was less than $6 million using NVIDIA H800 computing power, making it one of the most affordable AI models to date.

“This shows that bigger isn’t always better,” said Fabrizio del Maffeo, CEO of Axelera AI. “As AI models become more accessible, costs fall, and barriers to innovation decrease, accelerating industry development.”

While some analysts question whether DeepSeek’s training costs are as low as reported, there’s no doubt that they are significantly cheaper than their U.S. counterparts. Ulrik R-T, CEO of Empatik AI, a Danish startup, sees DeepSeek as an opportunity for companies without large budgets.

“It proves we don’t need enormous budgets to realize our vision,” R-T said.

The Price War Begins

The shift in pricing has already triggered changes in the industry. Recently, Microsoft announced it would offer its OpenAI-powered logical reasoning model for free to Copilot users, a departure from its usual $20 per month subscription fee.

“AI prices are falling, so future solutions are likely to focus on more transparent, open-source models—even if they come from China,” said Joachim Schelde of Scale Capital.

However, larger corporations like Nokia and SAP are more cautious about these developments. According to Alexandru Voica, head of the corporate department at Synthesia, a UK-based company valued at $2.1 billion, price is just one factor.

“Other considerations include security certifications and software ecosystems that allow companies to integrate AI solutions into their platforms,” Voica added.

Strained Household Finances: Eurostat Data Reveals Persistent Payment Delays Across Europe and in Cyprus

Improved Financial Resilience Amid Ongoing Strains

Over the past decade, Cypriot households have significantly increased their ability to manage debts—not only bank loans but also rent and utility bills. However, recent Eurostat data indicates that Cyprus continues to lag behind the European average when it comes to covering financial obligations on time.

Household Coping Strategies and the Limits of Payment Flexibility

While many families are managing their fixed expenses with relative ease, one in three Cypriots struggles to cover unexpected costs. This delicate balancing act highlights how routine payments such as mortgage installments, rent, and utility bills are met, but precariously so, with little room for unplanned financial shocks.

Breaking Down Payment Delays Across the European Union

Eurostat reports that nearly 9.2% of the EU population experienced delays with their housing loans, rent, utility bills, or installment payments in 2024. The situation is more acute among vulnerable groups: 17.2% of individuals in single-parent households with dependent children and 16.6% in households with two adults managing three or more dependents faced payment delays. In every EU nation, single-parent households exhibited higher delay rates compared to the overall population.

Cyprus in the Crosshairs: High Rates of Financial Delays

Although Cyprus recorded a notable 19.1 percentage point improvement from 2015 to 2024 in delays related to mortgages, rent, and utility bills, the island nation still ranks among the top five countries with the highest delay rates. As of 2024, 12.5% of the Cypriot population had outstanding housing loans or rent and overdue utility bills. In contrast, Greece tops the list with 42.8%, followed by Bulgaria (18.7%), Romania (15.3%), Spain (14.2%), and other EU members. Notably, 19 out of 27 EU countries reported delay rates below 10%, with Czech Republic (3.4%) and Netherlands (3.9%) leading the pack.

Selective Improvements and Emerging Concerns

Between 2015 and 2024, the overall EU population saw a 2.6 percentage point decline in payment delays. Despite this, certain countries experienced increases: Luxembourg (+3.3 percentage points), Spain (+2.5 percentage points), and Germany (+2.0 percentage points) saw a rise in payment delays, reflecting underlying economic pressures that continue to challenge financial stability.

Economic Insecurity and the Unprepared for Emergencies

Another critical indicator explored by Eurostat is the prevalence of economic insecurity—the proportion of the population unable to handle unexpected financial expenses. In 2024, 30% of the EU population reported being unable to cover unforeseen costs, a modest improvement of 1.2 percentage points from 2023 and a significant 7.4 percentage point drop compared to a decade ago. In Cyprus, while 34.8% still report difficulty handling emergencies, this marks a drastic improvement from 2015, when the figure stood at 60.5%.

A Broader EU Perspective

Importantly, no EU country in 2024 had more than half of its population facing economic insecurity—a notable improvement from 2015, when over 50% of the population in nine countries reported such challenges. These figures underscore both progress and persistent vulnerabilities within European households, urging policymakers to consider targeted measures for enhancing financial resilience.

For further insights and detailed analysis, refer to the original reports on Philenews and Housing Loans.

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