Quarterly Performance Highlights

Apple shares rose more than 3% on Friday following the release of quarterly results that exceeded expectations and updated revenue guidance. The company forecast fiscal third-quarter revenue growth of 14% to 17% year-on-year, above market expectations of around 9.5%. Demand for the iPhone 17 lineup remained a key driver, alongside sales of Mac models, including the lower-cost MacBook Neo.

Revenue Guidance And Product Performance

During the earnings call, Apple reported fiscal second-quarter revenue of $111.18 billion, up 17% year-on-year and above expectations, despite a slight shortfall in iPhone revenue. Growth was supported by multiple segments, including Mac and services. Higher-margin services, such as subscriptions, Apple Pay, iCloud, and AppleCare, continued to contribute to overall revenue diversification. Tim Cook, Chief Executive Officer, described the iPhone 17 lineup as “the most popular in our history,” reflecting continued consumer demand across product categories.

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Margin Management Amid Global Supply Challenges

Cook also addressed supply conditions, noting ongoing pressure from rising memory costs linked to global supply constraints. He said the company is evaluating different approaches to manage these costs while maintaining margins. Analysts at Morgan Stanley raised their earnings per share forecast for the fiscal year from $8.63 to $8.89, citing Apple’s margin management. Cook is expected to step down in September after a 15-year tenure.

Service Revenue And Long-Term Growth

Services revenue increased by approximately 16% year-on-year to $30.98 billion. Apple’s installed base, which exceeds 2.5 billion active devices, continues to support growth in subscription-based services. Gross margin reached 49.3% in the quarter, with guidance pointing to a range of 47.5% to 48.5% for the next period.

Looking Ahead

Despite concerns related to memory pricing and supply challenges, Apple’s strategic initiatives and robust demand for its diverse range of products have positioned it favorably for sustained growth. As the market continues to watch the leadership transition and further product innovations, Apple remains a pivotal player within the technology sector, demonstrating a consistent ability to navigate complex market dynamics.

Meta’s Bold Move Into Humanoid Robotics

Meta acquired Assured Robot Intelligence (ARI), a startup focused on robotic intelligence, for an undisclosed amount. The move reflects the company’s efforts to develop systems that allow robots to interpret, predict, and adapt to human behaviour in complex environments.

Integrating Expertise For Revolutionary Advances

As part of the acquisition, ARI co-founders Xiaolong Wang and Lerrel Pinto will join Meta’s Superintelligence Labs. The team brings experience from organisations including Nvidia, UC San Diego, New York University, as well as Fauna Robotics, previously acquired by Amazon. Their work spans model design, robot control, and areas such as self-learning systems and whole-body control, which are relevant for humanoid robotics development.

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Groundwork For The Future Of Artificial General Intelligence

The initiative builds on Meta’s ongoing work in robotics and artificial intelligence. Industry analysts note that training AI systems in physical environments plays a role in the development of Artificial General Intelligence, as it enables models to learn through direct interaction with real-world conditions rather than relying solely on simulated data.

Industry Trends And Market Potential

The acquisition also reflects broader activity across the robotics sector, where companies are combining software and hardware capabilities. Deals involving firms such as Fauna Robotics indicate increasing investment in this area. Market projections vary, with Goldman Sachs estimating a $38 billion robotics market by 2035, while Morgan Stanley projects the market could reach $5 trillion by 2050.

A Strategic Investment In Tomorrow’s Technology

Meta’s calculated move to incorporate ARI’s innovative technologies and expert team into its portfolio is a testament to the company’s vision and strategic foresight. As the race to develop AGI intensifies, the integration of physical and digital learning environments may very well be the key to unlocking the next generation of intelligent machines.

Strategic Alliance For A Future-Driven Economy

South Korea and Google have agreed to establish an AI campus in Seoul, aimed at supporting collaboration between global and local technology ecosystems. The initiative was announced by Kim Yong-beom, presidential policy adviser, and is intended to connect Google with Korean engineers and startups.

High-Level Engagement And Shared Vision

The plan was discussed during a meeting in Seoul between Lee Jae Myung, President of South Korea, and Demis Hassabis, Chief Executive Officer of Google DeepMind. Following the meeting, the Ministry of Science and ICT signed a memorandum of understanding with Google, outlining cooperation on the project.

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Robust Framework For Innovation And Talent Development

As part of the agreement, South Korea requested that Google assign at least 10 engineers from its United States operations to the Seoul campus. The objective is to support knowledge transfer and workforce development through collaboration, internships, and training programmes at the site. Hassabis said the initiative is expected to contribute to skills development in areas linked to artificial intelligence.

Strengthening Industry Partnerships And Addressing Future Challenges

Beyond technical collaboration, discussions between President Lee and Hassabis highlighted the broader socio-economic impact of AI. President Lee raised important concerns regarding job displacement and the potential need for a base wage system to mitigate the adverse effects of automation. Furthermore, DeepMind expressed a strong interest in deepening relationships with key Korean industry players, including Samsung, SK Hynix, Boston Dynamics (a Hyundai subsidiary), and LG, to spearhead joint projects and technological breakthroughs.

Inspiring A New Era Of Artificial Intelligence

A reference to the AlphaGo victory in South Korea highlighted an earlier milestone that helped accelerate interest in artificial intelligence and its practical applications. Through the development of the AI campus, South Korea and Google aim to support an ecosystem focused on areas including semiconductors, robotics, and related technologies.

Europe is entering a new phase of AI development, with startups operating across sectors including defense, energy, manufacturing, and space. Venture capital interest reflects a shift toward applied and infrastructure-focused technologies rather than consumer-driven trends.

Below is an overview of selected companies operating across these areas.

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Alta Ares: Advanced Counter-Drone Systems

Recommended by: Julien Codorniou, General Partner at 20VC.
What it does: Alta Ares develops AI-powered systems to detect and neutralize drone threats.
Why it matters: Demand for defense technologies in Europe has increased, particularly in the context of recent geopolitical developments.

Apron: Simplifying Invoice Management

Recommended by: Jan Hammer, Partner at Index Ventures.
What it does: Apron provides invoice processing tools tailored to small business owners.
Why it matters: Growth in the SMB segment is driving demand for tools that reduce administrative workload.

Botify: Reinventing Search Optimization

Recommended by: Claire Houry, General Partner at Ventech.
What it does: Botify develops AI-assisted tools to improve brand visibility in search
Why it matters: As companies shift toward generative engine optimization (GEO), demand is moving beyond traditional SEO.
Clients include: Macy’s, The New York Times.

BottleCap AI: Efficiency Focused AI Models And Applications

Recommended by: Julien Codorniou, General Partner at 20VC.
What it does: BottleCap AI builds large language models alongside applications such as the AI-powered news app Pulse.
Why it matters: Combines infrastructure and application layers within one ecosystem.

Cailabs: Photonics For Next-Generation Data Transmission

Recommended by: Flavia Levi, Investment Manager at Join Capital.
What it does: Cailabs develops photonics applications for aerospace, defense, and industry.
Why it matters: Working on optical ground stations for laser-based satellite communication.

Cala: Building The Knowledge Graph For AI Agents

Recommended by: Anna Heim, TechCrunch.
What it does: Cala builds knowledge graph systems designed for AI agents.
Why it matters: Addresses data structuring challenges in AI systems.

Flower: Optimizing Renewable Energy Management

Recommended by: Pär-Jörgen Pärson, Partner at Northzone.
What it does: Flower uses AI and energy storage to manage variability in renewable energy.
Why it matters: Addresses intermittency in wind and solar power.

Fundamental: Foundation Models For Enterprise Data

Recommended by: Jonathan Userovici, General Partner at Headline.
What it does: Fundamental developed Nexus, a foundation model for extracting insights from large datasets.
Why it matters: Focuses on enterprise AI infrastructure.

Gradium: Pioneering Multilingual AI Voice Models

Recommended by: Jonathan Userovici, General Partner at Headline.
What it does: Gradium builds text-to-speech systems for multilingual AI agents.
Why it matters: Expands the communication capabilities of AI systems.

HappyRobot: AI Agents For Operational Use

Recommended by: Pablo Ventura, General Partner at Kfund.
What it does: HappyRobot develops AI agents designed for complex operational environments.
Why it matters: Focuses on measurable outcomes in real-world business applications.

Inbolt: Industrial AI And Robotics

Recommended by: Claire Houry, General Partner at Ventech.
What it does: Inbolt integrates AI with robotics to improve manufacturing processes.
Why it matters: Supports efficiency and automation in industrial environments.

Legora: The AI Platform Redefining Legal Tech

Recommended by: Pär-Jörgen Pärson, Partner at Northzone.
What it does: Legora develops AI tools designed to streamline legal workflows.
Why it matters: Reflects increasing adoption of AI across legal services.

Macrodata Labs: The Backbone Of AI Training Data

Recommended by: Floriane de Maupeou, Principal at Serena Data Ventures.
What it does: Macrodata Labs builds infrastructure for high-quality AI training datasets.
Why it matters: Addresses growing demand for reliable and structured data.

Multiverse Computing: Making AI More Accessible

Recommended by: Julie Bort, TechCrunch.
What it does: Multiverse Computing develops methods to compress AI models and reduce computational costs.
Why it matters: Enables deployment across a wider range of hardware environments.

Optics11: Fiber-Optic Sensing For Critical Infrastructure

Recommended by: Flavia Levi, Investment Manager at Join Capital.
What it does: Optics11 develops fiber-optic sensing systems for monitoring critical infrastructure.
Why it matters: Used in subsea environments and energy grids.

Pennylane: Redefining Financial Operations For SMBs

Recommended by: Jan Hammer, Partner at Index Ventures.
What it does: Pennylane provides financial management tools for small and medium-sized businesses.
Why it matters: Expands from accounting into broader financial operations.

PLD Space: Pioneering Space Autonomy

Recommended by: Anna Heim, TechCrunch.
What it does: PLD Space develops reusable rockets for small satellite launches.
Why it matters: Supports Europe’s capabilities in space infrastructure.

Proxima Fusion: The Future Of Fusion Energy

Recommended by: Daria Saharova, General Partner at World Fund.
What it does: Proxima Fusion develops nuclear fusion technology for energy generation.
Why it matters: Explores alternatives to traditional energy systems.

Roofline: Bridging AI And Advanced Chipsets

Recommended by: Floriane de Maupeou, Principal at Serena Data Ventures.
What it does: Roofline develops software that enables AI models to run across different hardware systems.
Why it matters: Addresses fragmentation in chip architectures.

Space Forge: Semiconductor Manufacturing In Orbit

Recommended by: Daria Saharova, General Partner at World Fund.
What it does: Space Forge develops in-space manufacturing technologies for semiconductor materials.
Why it matters: Introduces new approaches to producing advanced materials.

Theker: Intelligent Robots As A Service

Recommended by: Pablo Ventura, General Partner at Kfund.
What it does: Theker develops AI-powered robotics solutions for industries including retail, waste management, and food production.
Why it matters: Focuses on automation and operational efficiency across sectors.

This curated list of startups underscores how deep tech and innovative modeling are reshaping industries across Europe. Whether through enhanced data transmission, revolutionary energy solutions, or industry-specific AI agents, these companies illustrate the continuing evolution of Europe’s tech ecosystem.

Legacy Of Innovation

Ask.com, originally launched as Ask Jeeves in 1996, has officially ceased operations. Long revered for its revolutionary approach to natural language questioning and conversational search, Ask.com was a trailblazer in an industry that now embraces AI-driven chatbots. Despite its early influence on the development of modern search interfaces, the service was eventually overshadowed by larger players, most notably Google.

Evolution And Strategic Shifts

After being acquired by holding company IAC in 2005, the brand underwent a strategic transformation. These included removing the “Jeeves” brand and shifting from a general search engine toward a question-and-answer format. The adjustments reflected attempts to adapt to changes in user behaviour and competition in the search market. Barry Diller said in 2010 that the platform was not competitive with Google, a view that shaped its longer-term direction.

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Implications For The Future

The shutdown was announced on the company’s website on May 1, 2026. Ask.com operated for nearly 25 years and was among the early services to focus on conversational-style queries. Its approach is now reflected in newer technologies, including AI-based search and chatbot interfaces.

New Guidelines Reflect Evolving Industry Landscape

The Academy of Motion Picture Arts and Sciences has unveiled revised rules for the prestigious Academy Awards, addressing the burgeoning role of generative artificial intelligence in filmmaking. The updated guidelines stipulate that only performances acknowledged in a film’s legal billing and confirmed as performed by humans with explicit consent will be eligible for awards. Screenplays, too, are required to be authored by humans, ensuring that creative inputs remain unmistakably human in origin. 

Ensuring Human Authorship And Transparency

In an effort to safeguard artistic integrity, the academy has emphasized its authority to request additional information regarding a film’s use of AI and its adherence to human-authored content standards. This move underscores a broader industry commitment to maintaining transparency in a rapidly evolving creative and technological sphere.

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Industry Implications And Broader Reactions

These changes arrive amid a flurry of developments in both Hollywood and beyond. Independent filmmaking is experimenting with AI-driven productions, such as an upcoming film featuring an AI-generated portrayal of actor Val Kilmer. Meanwhile, controversies surrounding AI, as exemplified by the AI “actress” Tilly Norwood and emerging video generation models, have sparked widespread debate. These technological shifts, compounded by the recent actors’ and writers’ strikes over AI concerns, are prompting a reevaluation of creative authenticity across the entertainment landscape.

Evolving Standards Beyond Hollywood

The ripple effects of these guidelines are being felt outside traditional film circles as well. Notably, a published horror novel has been withdrawn due to claims of AI involvement, and various writers’ groups have argued that AI-assisted works should not qualify for literary awards. Such instances highlight the industry’s efforts to delineate clear boundaries between human creativity and machine-generated content.

The academy’s proactive stance is emblematic of a broader industry strategy to uphold traditional creative values while navigating the challenges posed by disruptive technology. As the dialogue between innovation and tradition intensifies, stakeholders across the arts and media sectors are watching closely to see how these evolving standards shape the future of creative storytelling.

Overview Of European Inflation Trends

Recent preliminary estimates from Eurostat indicate that Cyprus recorded an annual inflation rate of 3% in April 2026. This development positions the island nation squarely in line with the broader Eurozone average, underscoring the synchronization of inflationary pressures across regional markets.

Eurozone Inflation Surge

Across the Eurozone, overall inflation climbed to 3% in April from 2.6% in March, signaling a return of upward consumer price pressures. Notably, Cyprus had experienced a markedly lower rate of 1.5% in March, but has now adjusted to mirror the regional benchmark. The monthly inflation increase in Cyprus reached 2.2%, one of the most pronounced shifts among its European Union peers.

Key Drivers Behind The Rise

Driving this inflationary trend is a substantial increase in energy prices, which surged at an annual rate of 10.9% in April compared to 5.1% the previous month. Following energy, the services sector recorded a 3% rise, while the combined impact of food, alcohol, and tobacco items registered a 2.5% escalation. Non-energy industrial goods saw a modest increase of 0.8%.

Comparative Analysis And Regional Implications

In a broader context, Cyprus’ inflation figures are now more reflective of the aggregate Eurozone picture. Other nations, such as Croatia (5.4%), Lithuania (4.9%), and Greece (4.6%), are currently experiencing higher inflation levels. This comparative perspective highlights both the challenges and the stabilizing effects of price dynamics in a region where divergent economic conditions persist.

Conclusion

Recent data show an increase in inflation in Cyprus, largely driven by energy prices. They also reflect broader trends across the euro area, where price dynamics have shifted upward in recent months.

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Redefining Global Production

Volkswagen is evaluating a radical shift in its manufacturing strategy by considering the production of China-specific models in Europe, or by partnering with Chinese firms at continental facilities. This move comes as CEO Oliver Blume acknowledges that the company’s existing model is no longer delivering the needed returns in today’s competitive landscape.

Under Pressure: Cost-Cutting Imperatives

Recent results showed a 14% decline in operating profit to €2.5 billion. Revenue decreased by 2.5% to €75.7 billion, reflecting weaker performance alongside external pressures, including U.S. import tariffs and a writedown linked to the halt of ID.4 electric SUV production in Tennessee due to lower demand. In response, the company is reviewing plant utilisation, product complexity, and its portfolio of around 150 models across brands, including Audi and Porsche.

Opportunities And Risks In Strategic Partnerships

Blume said potential cooperation options include partnerships with Chinese manufacturers, as well as alternative uses for existing facilities, including projects linked to the defence sector at sites such as Osnabrück. Volkswagen has already expanded development and production in China, which has influenced its product offering in that market.

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At the same time, Horst Schneider noted that integrating Chinese production capacity into European operations could introduce competitive pressure, as Chinese manufacturers continue to expand their presence in Europe.

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.

Volvo Cars, part of Geely Holding, reported first-quarter results showing a decline in operating profit that was less pronounced than expected, even as sales fell by 11%. The results reflect the company’s cost management efforts alongside external pressures, particularly in the United States.

Operating Profit And Strategic Cost Management

Operating profit declined to 1.6 billion Swedish crowns from 1.9 billion crowns a year earlier, as sales fell by 11%, with a gross margin of 18.5% helping limit the impact. Håkan Samuelsson, Chief Executive Officer, said the company faced a challenging environment, adding that cost measures helped maintain profitability despite lower volumes. Analysts at Handelsbanken, Bernstein, and J.P. Morgan noted that the decline was less severe than expected, compared with consensus estimates of 900 to 950 million crowns.

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US Market Challenges And Policy Impacts

At the same time, the United States proved more challenging than expected. The removal of a $7,500 tax credit, which had supported demand for plug-in and electric vehicles, added pressure alongside higher costs related to tariffs and currency movements. Samuelsson said, “We are not satisfied with our results, but despite a volume drop coming from external factors we are more or less flat in profitability,” indicating that external conditions had a greater impact than internal operations.

Looking Ahead: A Focus On Growth

Volvo expects to support sales growth in the second half of the year. This includes the ramp-up of its new electric EX60, alongside efforts to maintain market share in the European premium segment. The company is also focusing on balancing cost control with ongoing investment, as it navigates geopolitical developments and changing policy conditions.

Conclusion

The results show how cost measures and external factors are shaping performance across markets. They also point to adjustments in product strategy and investment as the company responds to evolving demand conditions.