Business
One AI company’s battle against Europe’s tech roadblocks

Germany’s Seedbox.AI is, in many ways, a company made to win the hearts of EU lawmakers: Relatively young, doing business with established players and, most importantly, developing artificial intelligence.
Co-founder Kai Kölsch tells Euractiv the company has been in the AI business since before US giant OpenAI launched its viral AI chatbot ChatGPT in 2022 – back when the technology was still simply called ‘machine learning’.
Now, like many other players in the AI field, Seedbox re-trains large language models (LLMs) developed by other companies – such as Google’s Gemini or Meta’s Llama – for its specific uses, for example a chatbot where patients can ask questions about their medication or an AI assistant for real estate appraisals.
This is where 38-year-old Kölsch sees Europe’s big chance: piggybacking on LLMs, rather than trying to clone them. “We want to drive the [AI] field forward, take part in developing technology that makes technology more efficient,” he says.
The Stuttgart native, still living in Germany’s automotive capital, likens the situation to a car that’s already on the road. Europe’s tech field shouldn’t be trying to reinvent the wheel, he suggests, but rather should focus its energy on improving the quality and efficiency of the drive.
Of course, there are still bumps in the road for achieving this vision.
Good projects for more hardware
The first big problem for Europe’s AI companies is that they do not have the same access to computing infrastructure as the US giants. Kölsch also says it would be good to have access to more of the coveted specialised chips needed for AI work – either for training or for running models.
For Seedbox, there’s a potential solution: The EU is currently building one of its AI factories in Stuttgart, designed to link startups and established industry players with the hardware to integrate AI into their offerings.
The company is already cooperating with the computing centre where the factory is being set up, which allows it to train an AI model in all 24 official EU languages. But the new specialised chips will extend the possibilities, says Kölsch.
And while he welcomes plans for far larger gigafactories also planned in the EU, Kölsch argues that these should be concentrated as tightly as possible to be useful for training new foundational models, in the vein of Google’s Gemini or Meta’s Llama.
The Commission already split up the original “AI CERN” idea into five separate gigafactories, which governments and companies are now debating to divide up even further.
Dial down the rules
Kölsch also has his doubts about EU regulation, specifically the AI Act.
He’d like to see it delayed because of the effect he reckons it’s having on established companies. “They would rather do nothing than do something wrong,” he says. “Doing nothing is the worst thing you can do right now.”
The past months have seen several calls to delay European AI rules, with a parallel discussion about whether, and how much, they should be watered down as part of the Commission’s ongoing digital simplification drive.
While the EU executive was late in delivering key supporting documents for the AI Act – and some detail is still missing – most countries are also delayed in announcing which authorities will be responsible for implementing the Act in their territory, amplifying the legal uncertainty.
“That’s where we need really clear signals”, Kölsch says. “Like, you won’t be flogged and thrown into jail if you mess up. You just have to start now.”
The bloc’s data protection law, also often singled out by critics for blocking European companies, is also set to be – at least in part – simplified.
Money, money, money
But Kölsch highlights one particular issue as central to Europe’s problems: “At the end of the day, the key point is capital,” he tells Euractiv.
There is a vast gulf between the sums of money pumped into tech in Europe vs in the US, even though the two economies are broadly comparable in size.
Key to this is venture capital for young and innovative tech companies. Such investments are higher risk but also have enormous growth potential. According to numbers from the European Investment Bank, US companies receive six to eight times more venture capital investments than European startups.
There are many, often-reported, reasons for the lack of cash. To pick just two: There are rules preventing big institutional investors like pension funds from putting money into venture because of the inherent risks. What’s more, the bloc is not a single financial sector, it’s 27 small ones, which don’t work well enough in funnelling cash to promising start-ups.
“It’s absurd that we want to finance Europe and at the same time European pension funds are investing in US bonds”, says Andreas Schwarzenbrunner from Speedinvest, an EU venture fund.
“The money is there, Europe is still very rich”, he continues – “it’s simply invested in the wrong channels.”
Schwarzenbrunner is quick to point out that Europe has made significant progress after realising it missed the boat for thirty years. There is now a working ecosystem for financing young companies. Still, European tech companies face big problems in accessing financing – both for building prototypes and then, once they have proven the tech, for expanding, optimally across the EU.
Even if they manage to do so, US Big Tech is lurking with many billions in cash which they will gladly use to snap up (and close down) promising start-ups.
Kölsch says that Seedbox.AI is already being courted by non-European companies like AMD and Nvidia while European ones are failing to keep up with the speed of technical innovation.
“No company in Germany… really understands what we do”, he says. “Who understands us is the Americans.”
Talent follows money
This connects to another problem that EU and national governments have wrestled with for years: talent.
Seedbox.AI currently has 15 employees and is recruiting a new AI engineer – as are other European companies, with many struggling to find staff.
To boost the potential workforce, the EU made 2023 a ‘Year of skills’, with a strategy on a “Union of Skills” that aimed for one in three university students to enrol in STEM degrees by 2030 – which are foundational for AI development.
“By offering world-class education and research infrastructure, competitive career prospects, and a supportive regulatory and funding environment, the EU can become a destination of choice for the brightest minds,” the skills strategy reads.
But it’s hard to compete when Big Tech is dangling eye-watering salaries to reel in AI talent. Top researchers have reportedly been offered first-year pay packages of more than €100 million to join Meta.
Meanwhile, the word “salary” does not appear in the EU’s Union of Skills strategy.
“We can’t allow ourselves to complain that we can’t educate talent,” says Kölsch. “Talent just goes to where the capital is.”
(nl, jp, ow)
Business
Business Adaptation Strategies for 2025

As artificial intelligence reshapes the way consumers discover nearby businesses, industry experts are warning that traditional local search strategies may soon become obsolete. In a recent webinar hosted by Search Engine Journal, panelists delved into how AI is accelerating changes in search engine results pages, particularly for location-based queries. They highlighted that AI overviews, which provide synthesized summaries at the top of results, are increasingly pulling data from maps, reviews, and real-time business information, often bypassing the need for users to click through to websites. This shift is prompting marketers to rethink optimization tactics, focusing less on keyword stuffing and more on structured data that AI can easily interpret.
For multi-location brands, the stakes are even higher. The webinar revealed data from a custom study showing that certain queries trigger AI overviews more frequently than traditional map packs, with visibility varying by industry. For instance, retail and hospitality sectors see AI summaries dominating 60% of “near me” searches, according to insights shared. Businesses that fail to adapt risk losing out to competitors who leverage AI-friendly content, such as high-quality images and verified business profiles on platforms like Google My Business.
Navigating the Rise of AI-Driven Local Discovery in 2025: As we approach 2025, the integration of generative AI into search engines is not just enhancing user experiences but fundamentally altering how local businesses compete for attention, with innovations like voice-activated queries and predictive recommendations set to dominate.
This evolution is echoed in broader industry reports. A post on X from digital marketing firm Straight North emphasized that AI is making local SEO “futuristic,” incorporating elements like Perplexity’s local search capabilities and even AI-initiated calls to businesses, drawing from recent updates by Google. Similarly, Business Tech Weekly outlined strategies for adapting to these changes, stressing the importance of claiming listings across multiple maps providers, including Apple and Bing, to ensure visibility in AI aggregated results.
The financial implications are significant. According to a forecast from Coherent Market Insights, the AI search engines market is projected to reach $108.88 billion by 2032, growing at a 14% compound annual rate from 2025, driven largely by local search innovations. This growth is fueled by advancements in natural language processing, allowing AI to understand contextual queries like “best coffee shop open now” with unprecedented accuracy.
Strategic Shifts for Multi-Generational Customer Engagement: With AI personalizing search results based on user demographics, businesses must now tailor their online presence to appeal across age groups, from Gen Z’s preference for visual and social integrations to older users’ reliance on straightforward map data.
Recent news on X from Search Engine Journal itself underscores the need for data-driven tactics, noting that some brands excel in map packs while others shine in AI overviews, based on query types. Their analysis suggests optimizing for both by enriching profiles with photos, hours, and real-time updates. Meanwhile, a report from Google Cloud Blog discusses multimodal AI trends, where text, images, and voice combine to enhance local search, potentially transforming public sector applications like emergency services routing.
Innovation isn’t limited to tech giants. Startups are entering the fray, with posts on X from users like Matt Diggity highlighting entity optimization techniques that help dominate AI platforms. By building comprehensive entity profiles—detailing business attributes in a way AI models can parse—companies can improve their chances of appearing in synthesized responses.
Ethical Considerations and Future Challenges in AI Local Search: As AI becomes more autonomous in curating local results, questions arise about bias in recommendations and the need for transparent data practices, challenging businesses to balance innovation with accountability in 2025.
Ethical challenges are gaining attention, as noted in an analysis by Gupta Deepak, which covers advancements in ethical AI for deep search tools. The piece warns of potential disparities in visibility for small businesses versus large chains if AI favors well-established entities. On X, discussions from Artificial Analysis point to trends like AI agents that automate local discovery, raising concerns about data privacy in real-time tracking.
Looking ahead, experts predict a hybrid model where traditional search coexists with AI enhancements. A recent X post from What People Want observed users shifting to conversational AI for complex local queries while still relying on Google for maps, indicating a gradual transition. To stay competitive, insiders recommend investing in AI tools for monitoring visibility, as suggested in Semrush’s study, which forecasts AI search visitors surpassing traditional ones by 2028.
Investment Opportunities and Market Projections: The burgeoning AI local search sector is attracting significant investments, with projections indicating explosive growth that savvy businesses can capitalize on through early adoption of emerging technologies.
Market dynamics are shifting rapidly, per AlixPartners, which describes a paradigm shift in the global search market for 2025, emphasizing diversification beyond Google. In India, EY’s report on generative AI trends highlights local innovations, such as AI-integrated apps for hyper-local services, which could influence global strategies.
For industry insiders, the key takeaway is proactive adaptation. As one X post from ZC25 noted, generative engine optimization represents an $80 billion opportunity, moving away from outdated SEO practices toward AI-centric approaches. By 2025, businesses that integrate these innovations will likely lead in local visibility, while laggards face diminished relevance in an AI-dominated search ecosystem.
Business
Planet Group International enters AI partnership with global senior leader Michele Vaccaro

Planet Group International (PGI), the Romanian-headquartered company specializing in content and process management, empowers its Artificial Intelligence team through the collaboration with Michele Vaccaro, a renowned global leader in Artificial Intelligence and digital transformation. The partnership is designed to accelerate PGI’s AI strategy and strengthen its capabilities, with the objective of generating 20% business growth in 2026.
Michele brings 25 years of deep expertise in Information Governance, with the last decade dedicated to Artificial Intelligence at global leaders such as EMC and OpenText. He has guided enterprises across industries through successful digital and AI transformation journeys.
With over 25 years of expertise delivering IT solutions across 20 countries in the EMEA region, PGI is uniquely positioned to integrate AI into its offering, particularly in highly regulated and complex sectors such as banking, energy, and engineering.
AI-driven solutions are expected to become a decisive differentiator in the coming years. Yet, success depends not only on revolutionary technology, but on data readiness. “If your data isn’t ready for AI, your business isn’t ready for AI,” said Michele Vaccaro.
Planet Group International prepared itself to become today the perfect companion for any business that wants to start its AI journey, thanks to its extensive know-how in information governance and the company’s strong competencies in managing unstructured content and preparing data for AI. Combined with its AI expertise, skills, and the ability to adapt international best practices to the local geographical context, PGI can guide organizations throughout the entire journey.
“While AI tools are transformative, they do not generate value on their own. They require continuous training, alignment with business processes, and integration into industry-specific contexts. PGI’s long-standing expertise in content and process management ensures it can provide this foundation, helping customers deploy AI smoothly and effectively while safeguarding compliance and governance. Through this collaboration with Michele Vaccaro, PGI takes a bold step forward in its AI journey,” said Ghenadie Starsii – Innovation Manager at Planet Group International.
According to PGI, on top of preparing the data for AI, which is a critical prerequisite, there are other very important steps to ensure a successful AI journey, including:
- Defining a transformative vision and strategy – AI success starts with an enterprise-level vision that treats AI as a driver of fundamental business transformation, not just incremental change. This ensures alignment across leadership and enables the design of secure, efficient, and coherent architectures to support long-term growth.
- Carefully selecting use cases– Organizations should prioritize strategic, business-aligned areas where AI can deliver measurable value, balancing business impact with technical feasibility.
- People and change management– Generative AI must be treated as a broad business priority, not just a technology initiative. Companies must invest in critical roles, foster data and AI literacy, and drive cultural adoption across all levels of the enterprise.
With this new partnership, PGI creates the formula to deliver real business value, the company aiming to be a trusted partner for organizations adopting AI responsibly and strategically. With focus on innovation, data readiness, and sustainable AI, PGI is positioned to help enterprises unlock growth, boost competitiveness, and lead into the AI-powered future.
Planet Group International journey began over twenty-five years ago in a world hungry for innovation with a singular purpose – to redefine the business landscape and create a sustainable impact on people’s lives. PGI has established a robust presence across seven countries, including Romania, Turkey, Italy, regions in Africa, and the Middle East, with dedicated consulting and implementation teams.
Business
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