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Top 15 Famous German Female Celebrities

Germany has several successful female celebrities in movies, music, modeling, and politics. These individuals are role models for many young women who want to succeed in their industries in Germany and abroad.
We’ll cover the 15 most influential German female celebrities in this article. These women are respected for their unique contributions to entertainment and beyond, from legendary actresses to successful models, talented singers, and even influential politicians.
Their experiences and accomplishments will encourage anybody seeking success. Let’s learn more about these great women and their journeys.
15. Nina Hagen
Nina Hagen is a German singer, composer, and actress recognized for her distinctive voice, outlandish flair, and varied musical tastes.
She was born in East Berlin, Germany, on March 11, 1955, and grew up in a musical family. Wolf Biermann, her father, was a well-known East German poet and singer, and her mother, Eva-Maria Hagen, was a well-known East German actress.
Nina Hagen rose to prominence in the German punk and new wave music scenes in the late 1970s, and her debut album “Nina Hagen Band” was a critical and financial success.
14. Romy Schneider
Romy Schneider, a German-French actress, was born in Vienna, Austria, on September 23, 1938. She started acting at an early age and immediately became well-known for her parts in a number of well-known movies, such as the “Sissi” trilogy.
Schneider, despite her accomplishments, battled personal problems all of her life, including a rocky relationship with her mother and the heartbreaking loss of her son.
Despite her success, Schneider struggled with personal issues throughout her life, including a tumultuous relationship with her mother and the tragic death of her son.
She passed away on May 29, 1982, in Paris, France, at the age of 43. Today, Schneider is remembered as one of the most iconic and talented actresses of her generation, and her contributions to the world of film continue to be celebrated and admired by fans and filmmakers alike.
13. Ursula von der Leyen
German politician Ursula von der Leyen has held many high-level government and EU positions. Brussels, Belgium, was her birthplace on October 8, 1958.
Ernst Albrecht, a high-ranking European civil servant and politician, and Heide Adele von der Leyen, an artist and writer, were her parents.
In 2003, von der Leyen became Minister for Social Affairs, Women, Family, and Health after serving in the Lower Saxony State Assembly during the 1990s.
She became Minister of Family Affairs, Senior Citizens, Women, and Youth in 2005 and Minister of Labour and Social Affairs in 2009.
12. Sarah Connor
German singer-songwriter Sarah Connor was born in Delmenhorst on June 13, 1980. “From Sarah with Love” and “Let’s Get Back to Bed – Boy!” from her 2001 first album “Green Eyed Soul” made her famous.
“Unbelievable” (2002), “Key to My Soul” (2003), and “Muttersprache” (2006) are among Connor’s successful pop, soul, and R&B albums (2015). Connor has judged “The Voice” Germany in addition to her music.
11. Katja Riemann

German actress and musician Katja Riemann was born in Kirchweyhe on November 1, 1963. She started acting in the late 1980s and has acted in several movies and TV shows.
Riemann has won the Bambi Award and the German Film Award for her versatility and talent. “Bang Boom Bang” (1999), “Rosenstrasse” (2003), and “Fack ju Göhte” are among her significant cinematic credits (2013).
10. Meryl Streep
Meryl Streep was born in Summit, New Jersey, on June 22, 1949. One of the finest actors of all time, she has won three Academy Awards and eight Golden Globes.
“The Deer Hunter” (1978), “Kramer vs. Kramer” (1979), and “Sophie’s Choice” (1982), for which Streep earned her first Academy Award, launched her career in the 1970s.
“Out of Africa” (1985), “The Bridges of Madison County” (1995), and “The Devil Wears Prada” (1999) are among her critically acclaimed films (2006).
9. Hannelore Elsner

Burghausen-born Hannelore Elsner was an actress. She started acting in the early 1960s and appeared in several movies and TV shows.
Elsner’s flexibility and talent earned her the Bambi Award and the Bavarian Film Award. “The Marriage of Maria Braun” (1979), “Die Unberührbare” (2000), and “Cherry Blossoms” are among her significant films (2008).
8. Lena Meyer
German singer-songwriter Lena Meyer-Landrut was born in Hanover on May 23, 1991. “Satellite” won the 2010 Eurovision Song Contest, making her famous.
After winning Eurovision, Lena published her debut album “My Cassette Player” (2010), which was a hit in Germany and other European nations. “Stardust” (2012), “Crystal Sky” (2015), and “Only Love, L” (2016) are her other albums (2019).
7. Marlene Dietrich
Marlene Dietrich was born in Berlin, Germany, on December 27, 1901. Her distinctive voice, refined allure, and innovative androgynous style made her one of the best actors of the 20th century.
“The Blue Angel,” “Morocco,” and “Shanghai Express” made Dietrich famous in the 1920s (1932). In the 1940s and 1950s, she entertained Allied troops and appeared in films.
6. Franziska van Almsick
Berlin-born Franziska van Almsick is a retired German swimmer. She became an international swimming star at an early age.
Van Almsick won many Olympic and World Championship medals. She established many world records. Her accomplishments include a 1992 Barcelona Summer Olympics gold in the 4x100m freestyle relay and a 2000 Sydney Summer Olympics silver in the 200m freestyle.
5. Nena
Nena is a German singer and composer. “99 Luftballons,” a 1980s success in Germany and elsewhere, launched her international career.
Nena’s popular songs generally address social and political themes. “Nena” (1983), “Eisbrecher” (1986), and “Oldschool” (1989) are among her successful albums (2015).
4. Claudia Schiffer
Claudia Schiffer is a German supermodel and actress. She became a fashion icon in the 1990s as a supermodel.
Chanel, Versace, and Dolce & Gabbana have all hired Schiffer. She has graced countless magazine covers and high-profile advertising campaigns.
“Love Actually” (2003) and “Zoolander 2” are among Schiffer’s acting credits (2016). Elle Style and Bambi Awards have honored her fashion contributions. Schiffer is one of the most successful and influential models ever.
In addition to her modeling work, Schiffer has also appeared in films and television shows, including “Love Actually” (2003) and “Zoolander 2” (2016).
She has been recognized for her contributions to the fashion industry with awards such as the Elle Style Award and the Bambi Award. Schiffer is widely regarded as one of the most successful and influential models of all time.
https://youtu.be/yZSRG8JTdwI
3. Diane Kruger
Diane Kruger was born in Algermissen, Germany, on July 15, 1976. In 2002, she made her acting debut in “The Piano Player” after modeling in the 1990s.
“Troy” (2004) made Kruger famous, and she has since acted in numerous blockbuster films, including “Inglourious Basterds” (2009), “The Host” (2013), and “Welcome to Marwen” (2014). (2018). She was nominated for a Screen Actors Guild Award for her work in each of these films.
2. Angela Merkel
Angela Merkel was German Chancellor from 2005 until 2021. Born in Hamburg on July 17, 1954, she grew up in East Germany.
After Germany reunified, Merkel entered politics in the 1990s. She was a Bundestag member and minister before becoming Germany’s first female chancellor in 2005. She served four terms as chancellor, re-elected in 2009, 2013, and 2017.
Merkel led on climate change, immigration, and the EU as chancellor. She was Forbes’ most powerful woman multiple times. After 16 years as chancellor, Merkel retired in 2021.
1. Heidi Klum
Heidi Klum, a German-American supermodel, television personality, producer, and businesswoman. Bergisch Gladbach, Germany, was her birthplace.
Klum began modeling in the 1990s and immediately became famous, appearing on many fashion magazine covers and walking in top designer runway shows. She became famous as a Victoria’s Secret Angel from 1999 to 2010.
Klum also excelled on television. She has judged and hosted “Project Runway” and “America’s Got Talent” and created other TV shows.
Klum has also launched several businesses, including a line of lingerie and swimwear, a fragrance line, and a line of jewelry.
Conclusion
In conclusion, these 15 prominent German female celebrities have each become powerful individuals in Germany and around the world as a result of the substantial contributions they have made in their respective disciplines.
These women have left their mark on history and continue to inspire others through their talent, hard work, and determination.
From legendary actresses like Marlene Dietrich and Romy Schneider to supermodels like Heidi Klum and Claudia Schiffer to influential political figures like Angela Merkel and Ursula von der Leyen, these women have left their mark on the world and continue to do so today.
These women have found success in their respective fields, whether it be in the sphere of entertainment, politics, or fashion, and they have paved the way for subsequent generations of German women to follow in their footsteps.
From actresses like Marlene Dietrich to supermodels like Claudia Schiffer and businesswomen like Heidi Klum, these women have become influential figures both in Germany and around the world. Discover their talent, hard work, and determination that have inspired generations of women.
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Next-Gen AI: Innovations Set to Reshape Industries by 2025

The landscape of technology is witnessing unprecedented changes driven by Artificial Intelligence (AI). As we venture further into the 2020s, we are at the brink of a new era of AI innovations that are set to revolutionize various industries by 2025. From healthcare to finance, and from manufacturing to customer service, AI’s potential is boundless. This article explores the next-gen AI innovations poised to reshape industries, their applications, and the ethical considerations they bring along.
The Evolution of AI: A Quick Overview
Artificial Intelligence has evolved significantly since its inception. From rule-based systems in the early days to current advanced machine learning and deep learning techniques, the AI industry has undergone a transformation. Key developments include:
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- Machine Learning and Deep Learning: These are subsets of AI that empower machines to learn from data and improve their performance over time without human intervention.
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- Natural Language Processing (NLP): NLP allows machines to comprehend and interpret human language, enhancing interactions with users.
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- Computer Vision: This technology enables machines to interpret and make decisions based on visual data, which is crucial for industries like healthcare and autonomous driving.
Next-Gen AI Innovations on the Horizon
1. AI in Healthcare
The healthcare industry is on the cusp of a revolution fueled by AI technologies. Innovations expected by 2025 include:
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- Predictive Analytics: AI algorithms are becoming adept at predicting patient outcomes based on historical data, leading to better treatment plans.
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- Robotic Surgery: Advanced AI-driven robots are capable of performing surgeries with precision and minimal invasiveness, reducing recovery times.
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- Telemedicine: AI chatbots and assistants will improve patient interactions, making healthcare more accessible.
2. AI in Finance
The finance sector is leveraging AI to streamline operations and enhance decision-making processes. Innovations include:
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- Fraud Detection: AI systems can analyze transaction patterns in real-time to flag unusual activities, increasing security.
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- Robo-Advisors: These AI-powered platforms provide personalized investment advice based on user data and market trends.
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- Risk Assessment: AI can evaluate risks by analyzing a broader range of factors than traditional models, providing investors with deeper insights.
3. AI in Manufacturing
AI is transforming the manufacturing industry by enhancing efficiency and reducing costs. Innovations to watch for include:
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- Predictive Maintenance: AI-powered systems can predict equipment failures before they occur, minimizing downtime and repair costs.
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- Smart Supply Chains: AI can optimize inventories and manage logistics more effectively, leading to significant cost savings.
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- Quality Control: Computer vision technologies will enable real-time quality checks during the production process, ensuring products meet standards.
4. AI in Customer Service
Customer service is undergoing a significant transformation due to AI innovations aimed at enhancing user experience:
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- Chatbots and Virtual Assistants: These systems provide 24/7 support to customers, handling inquiries and troubleshooting issues.
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- Sentiment Analysis: AI can analyze customer interactions to gauge sentiment, allowing companies to improve their services based on user feedback.
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- Personalized Recommendations: AI algorithms will offer customized suggestions, enhancing customer satisfaction and engagement.
5. AI in Retail
The retail industry is on the brink of transformation through AI adoption. Upcoming innovations include:
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- Inventory Management: AI can forecast demand based on consumer behavior, allowing retailers to maintain optimal inventory levels.
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- Augmented Reality Shopping: AI-powered AR features will enable consumers to try products virtually, enhancing the shopping experience.
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- Customer Behavior Analysis: AI systems will analyze shopping patterns to optimize marketing strategies and improve customer engagement.
The Ethical Considerations of AI Innovations
While the advantages of AI innovations are numerous, they bring with them a host of ethical concerns that must be addressed:
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- Data Privacy: With the vast amounts of data needed to train AI systems, there are concerns about protecting personal information from misuse and breaches.
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- Job Displacement: The rise of AI can lead to the displacement of specific job roles, raising questions about the future of employment and the necessity for reskilling.
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- Bias in AI: If the data used to train algorithms is biased, it can lead to unfair and discriminatory results, necessitating rigorous testing and validation of AI systems.
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- Accountability and Transparency: As AI systems make more critical decisions, it is essential to establish accountability frameworks for how these decisions are made and communicated.
Preparing for the Future of AI
As industries begin adapting to these AI innovations, both businesses and individuals must proactively embrace change:
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- Education and Skills Development: There will be a profound need for education focused on AI and its applications to prepare the workforce for the future.
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- Collaboration: Businesses should collaborate with technology companies and research institutions to foster innovation.
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- Ethical AI Development: Companies must prioritize ethical practices in AI development, ensuring transparency and fairness in their algorithms.
Conclusion
As we approach 2025, the innovations driven by next-gen AI are poised to reshape a multitude of industries. The transformative potential of AI technologies in healthcare, finance, manufacturing, customer service, and retail reveals an imminent technological landscape characterized by enhanced efficiency, improved decision-making, and richer user experiences. However, as we navigate this evolving terrain, addressing ethical considerations and prioritizing responsible AI development will be critical to ensuring these innovations benefit society as a whole. With education, collaboration, and transparency at the forefront, businesses can harness the power of AI while creating an inclusive future.
FAQs
Q1: What are the key benefits of AI innovations in industries?
A1: AI innovations enhance efficiency, improve decision-making, reduce costs, and offer personalized experiences to consumers, thereby driving growth across various sectors.
Q2: How can businesses prepare for the integration of AI?
A2: Businesses can prepare by investing in education and training, collaborating with technology partners, and adopting ethical AI practices to guide their implementations.
Q3: What ethical concerns should companies consider regarding AI?
A3: Companies should consider data privacy, bias in AI systems, job displacement, and the need for accountability and transparency in their AI practices.
Q4: Will AI replace human jobs entirely?
A4: While AI may automate certain tasks, it is also expected to create new roles that focus on overseeing and managing AI systems, requiring upskilling and adaptation from the workforce.
Q5: What industries will benefit the most from AI advancements?
A5: Industries such as healthcare, finance, manufacturing, retail, and customer service are expected to benefit significantly from AI advancements, leading to enhanced operations and user experiences.
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Tomorrow’s Tech Today: Unveiling the Innovations Shaping Our Future

As we stand at the brink of a new era driven by technology, the innovations unveiled today promise to reshape our lives in ways previously imagined only in science fiction. From artificial intelligence and quantum computing to renewable energy solutions and biotech, the technological advancements of today are setting the stage for an extraordinary future. This article explores several key innovations that are shaping our world and what we can expect moving forward.
Artificial Intelligence and Machine Learning
Artificial intelligence (AI) is transforming industries and daily life at an unprecedented pace. From natural language processing and computer vision to autonomous systems, AI technologies enhance our capabilities and streamline operations. In particular, machine learning (ML) – a subset of AI – enables systems to learn from data, adapt to new information, and improve over time.
Applications in Various Sectors
AI is impacting numerous sectors, such as:
- Healthcare: AI algorithms analyze medical data to assist in diagnosing conditions, personalizing treatment plans, and predicting patient outcomes. Innovations like IBM Watson have shown promise in oncology, providing insights based on vast datasets.
- Finance: AI-driven algorithms perform tasks such as fraud detection, risk assessment, and personalized financial advice. A notable example is the use of robo-advisors that tailor investment portfolios based on individual risk profiles.
- Transportation: Self-driving cars are a significant area of investment for tech giants like Google and Tesla, promising to reduce accidents and traffic congestion in the future.
The Ethical Dimension
As AI continues to advance, it brings forth ethical considerations. Issues around privacy, bias, and job displacement require careful examination to ensure that the benefits of AI are equitably distributed across society.
Quantum Computing
Quantum computing represents a paradigm shift in computation. Unlike classical computers that operate using bits (0s and 1s), quantum computers use quantum bits or qubits, which can exist in multiple states simultaneously. This capability allows quantum computers to solve problems currently intractable for classical computers.
Potential Breakthroughs
Industries stand to benefit from quantum computing in several ways:
- Pharmaceuticals: Quantum computing accelerates drug discovery by simulating molecular interactions with high precision, leading to faster development of new medications.
- Cryptography: Quantum computers challenge traditional encryption methods, necessitating a complete overhaul of cybersecurity protocols to prevent unauthorized data access.
- Logistics and Supply Chain: Quantum algorithms can optimize supply chain management, enabling more efficient routes, inventory management, and production schedules.
The Challenges Ahead
Despite its potential, quantum computing faces significant technical challenges, such as error correction and maintaining qubit stability (decoherence). Researchers are continuously working towards a robust and scalable quantum computer.
Renewable Energy Technologies
With climate change posing a critical threat to our planet, the push for sustainable energy sources has gained momentum. Technologies such as solar, wind, and energy storage solutions, are paving the way toward a greener future.
Innovations in Energy Generation
Key advancements include:
- Solar Energy: Enhanced photovoltaic materials have increased solar panel efficiency, driving down costs. Innovations like floating solar farms utilize unused water surfaces.
- Wind Energy: The latest turbine designs are more efficient and capable of capturing wind energy at lower wind speeds, broadening the scope for wind farm installations.
- Hydrogen Fuel Cells: Hydrogen is emerging as a clean fuel alternative, with applications in transportation and industrial processes.
Energy Storage Solutions
Energy storage is crucial for maximizing the effectiveness of renewable energy sources. Breakthroughs include:
- Lithium-ion Batteries: Continued improvements in battery technology promise longer life spans, faster charging times, and greater energy densities.
- Solid-State Batteries: These batteries offer improved safety and efficiency compared to traditional lithium-ion batteries, which could result in extended electric vehicle ranges and reduced charging times.
- Grid-Scale Storage Solutions: Technologies such as pumped hydro storage and advanced flywheel systems are being developed to balance supply and demand on the grid effectively.
Biotechnology and Health Innovations
Biotechnology has the potential to revolutionize healthcare with innovations ranging from genetic engineering to advanced drug therapies. The COVID-19 pandemic accelerated the development of mRNA vaccine technology, showcasing biotechnology’s capacity to respond to global health crises swiftly.
Gene Editing Technologies
CRISPR-Cas9 is one of the most groundbreaking gene-editing technologies, allowing precise modifications to DNA. Potential applications include:
- Inherited Disease Treatment: Correcting genetic defects that cause hereditary diseases.
- Cancer Research: Targeting and eliminating cancerous cells while minimizing damage to healthy cells.
- Crop Improvement: Creating genetically modified plants that are more resistant to pests and environmental changes.
The Future of Personalized Medicine
Biotechnology is leading us towards a future of personalized medicine, where treatments are tailored to individual genetic profiles. Combining AI and genomic data analysis allows for more effective treatments and improved patient outcomes.
Conclusion
The innovations discussed above are just a glimpse into the technological advancements shaping our future. Artificial intelligence, quantum computing, renewable energy solutions, and biotechnology are redefining industries, enhancing our daily lives, and addressing critical global challenges. As we advance, it is essential to consider not only the benefits but also the ethical implications and challenges that come with these technologies. The future will be driven not just by technological prowess but by our ability to harness these innovations responsibly and inclusively. Together, we have the potential to create a better, more sustainable world through the technology of tomorrow.
FAQs
1. What are some leading companies in the field of artificial intelligence?
Some leading companies include Google, Microsoft, IBM, and OpenAI, all of which are at the forefront of AI research and applications.
2. How is quantum computing different from classical computing?
Quantum computing uses qubits that can exist in multiple states simultaneously, allowing for parallel processing and solving complex problems much faster than classical bits (0s and 1s).
3. Why is renewable energy important?
Renewable energy is vital for reducing greenhouse gas emissions, combating climate change, and creating sustainable energy solutions that decrease our reliance on fossil fuels.
4. What are some ethical concerns related to biotechnology?
Ethical concerns in biotechnology include the potential for genetic discrimination, privacy issues regarding genetic information, and the potential consequences of gene editing, such as unforeseen health impacts.
5. Will AI take over jobs in the future?
While AI may automate certain tasks, it is also likely to create new job opportunities in emerging fields. Continuous education and adaptation will be essential to preparing the workforce for these changes.
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5 Things to Know Before the Stock Market Opens

U.S. stock futures are pointing sharply higher as market watchers focus on corporate earnings; Microsoft (MSFT) shares are jumping in premarket trading after the company reported strong artificial intelligence (AI) cloud revenue; Meta Platforms (META) shares are rising as advertising revenue helped boost results; Apple (AAPL) and Amazon (AMZN) are set to report earnings after the bell; and Tesla’s (TSLA) chair denies a report that the board had begun a search to succeed CEO Elon Musk. Here’s what investors need to know today.
1. US Stock Futures Surge as Investors Digest Corporate Earnings
U.S. stock futures are pointing sharply higher as investors focus on a parade of corporate earnings reports. S&P 500 futures and Dow Jones Industrial Average futures are up by 1.2% and 0.8%, respectively, as the indexes rose yesterday for a seventh consecutive session. Nasdaq futures are jumping by 1.8% after the tech-focused index shed 0.1% yesterday. Bitcoin (BTCUSD) is rising to trade above $96,000. Yields on the 10-year Treasury note are declining to around 4.15%. Oil and gold futures are down more than 2%.
2. Microsoft Stock Jumps on Strong AI Cloud Growth
Microsoft (MSFT) shares are surging about 9% in premarket trading after the software giant reported quarterly revenue and profit that surpassed analysts’ expectations. The tech titan reported revenue increased 13% year-over-year to $70.07 billion and profit of $3.46 per share, both above Visible Alpha consensus. Intelligent Cloud segment revenue jumped 21% to $26.75 billion and Microsoft said it expected the unit to deliver 20% to 22% growth in the current quarter. While Microsoft shares have risen 15% from their April low, they remain down 6% since the start of the year entering Thursday.
3. Meta Stock Surges as Ad Revenue Helps Boost Results
Meta Platforms (META) stock is jumping 6% in premarket trading after the social media giant reported better-than-expected quarterly results on strong advertising growth. The Facebook parent brought in revenue of $42.31 billion, up 16% year-over-year and above the analyst consensus from Visible Alpha, while its net income of $6.43 per share also topped projections. Advertising revenue grew 16% to $41.39 billion, also beating estimates. Facebook said it plans to boost its capital expenditures this year to $64 billion to $72 billion to grow its AI capacity. Meta’s stock was down 6% for the year entering Thursday.
4. Apple, Amazon Slated to Report Results After Closing Bell
Microsoft’s and Meta’s fellow “Magnificent Seven” companies Apple (AAPL) and Amazon (AMZN) are scheduled to report quarterly results after markets close today. Analysts polled by Visible Alpha expect Apple to report fiscal second-quarter revenue grew 4% year-over-year to $94.66 billion and earnings per share of $1.62, up from $1.53. Amazon is seen reporting first-quarter revenue of $155 billion, up 8%, and adjusted EPS of $1.75, up from $1.46. Shares of Apple are 1% lower in premarket trading, while Amazon shares are 3% higher.
5. Tesla Denies Report That Board Opened Search for CEO Replacement
Tesla (TSLA) chair Robyn Denholm on Thursday denied a report that the EV maker’s board members had started a formal process to find a successor for CEO Elon Musk.The Wall Street Journal reported that board members started the search “about a month ago” as Tesla shares stumbled amid investor concerns that Musk was too focused on his role cutting federal spending as part of the White House administration. Denholm denied the Journal report, writing on Tesla’s X account that “The CEO of Tesla is Elon Musk and the Board is highly confident in his ability to continue executing on the exciting growth plan ahead.” Tesla shares are up less than 1% in premarket trading.
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