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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.

Apple’s Mac Segment Defies Market Expectations With AI-Driven Growth

Apple’s latest quarterly results featured stellar performance from its iPhone sales and burgeoning Services revenue, yet it was the Mac that truly exceeded market expectations. Driving a notable increase fueled by the rising demand for AI workloads, the Mac segment surprised investors with robust growth.

Strong Revenue Beat And Unexpected Growth

Wall Street had forecast Mac revenue in the low $8 billion range; however, Apple reported $8.4 billion in revenue for the quarter ended March 28. This performance not only surpassed estimates but also marked a 6% year-over-year increase, in contrast to the anticipated flat sales. Overall, Apple’s revenue climbed an impressive 17% year-over-year, signaling a healthy diversification of its earnings across core and non-core segments.

Innovative Launches And A New Wave Of Users

Part of the Mac’s surge can be attributed to recent product launches, notably the well-received MacBook Neo. Launched amid heightened consumer excitement and rapid preorder uptake, the Neo quickly resonated with both existing and new users, setting a quarterly record for attracting first-time Mac customers. CEO Tim Cook noted that customer interest was “off the charts,” a testament to the Neo’s market appeal.

Local AI Innovations And Enterprise Adoption

Surprisingly, Apple identified a surge in demand for Macs driven by local AI workloads. Platforms like OpenClaw have led to rapid adoption, further evidenced by recent sellouts of the Mac mini and Mac Studio devices. In China, where demand for advanced AI computing is particularly fervent, the Mac mini emerged as the top-selling desktop, reinforcing the role of Macs in powering enterprise-grade AI solutions. Notable enterprises, including tech innovator Perplexity, have adopted the Mac as their platform of choice for developing enterprise AI assistants.

Supply Constraints And Future Outlook

Despite the record-breaking demand, Mac revenue remained flat on a quarter-over-quarter basis, indicating that the rising demand is still in its early phases. Cook acknowledged that balancing supply and demand for the Mac mini and Studio models could require several months. He also highlighted supply constraints impacting the MacBook Neo, prompting institutions such as Kansas City Public Schools to transition from Chromebooks to the Neo as their preferred computing solution.

Conclusion

Apple’s latest earnings underscore how strategic product innovations and the increasing relevance of AI are reshaping demand across its product lines. As the tech giant continues to refine its supply chains and capitalize on emerging market trends, its ability to navigate these shifts will be critical to sustaining long-term growth and maintaining its competitive edge.

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