With the rapid development of the global artificial intelligence market, Graphics Processing Units (GPUs) are essential as a core driving force for applications driven by large language models. In the coming years, GPU price volatility is expected to increase significantly, affecting companies' cost management. Traditionally, energy-intensive industries such as mining and logistics have been accustomed to cost fluctuations, while sectors like finance and pharmaceuticals need to adapt quickly. Nvidia, as a key supplier, has seen a surge in GPU demand and soaring valuations. The popularity of GPUs stems from their ability to handle vast amounts of computations in parallel, making them suitable for training and deploying large.

The AI industry is facing intense competition, turning the sale of AI models into a zero-profit business. Companies like OpenAI and Anthropic have invested billions in training large models, leading to fragile overall operations. Price wars have nearly eliminated the marginal profits for AI model developers, making it difficult for businesses relying solely on model sales. High R&D and hardware costs, combined with pricing competition, have pushe....

Placer.ai, a startup leveraging location data and AI technology for market research, recently completed a $75 million funding round, bringing its valuation close to $1.5 billion. The company provides location-based analytics services for industries such as retail, entertainment, consumer goods, real estate, financial services, and healthcare by integrating anonymous data from third-party applications. The analysis includes traffic trends, purchasing behavior, and demographic information of locations or stores. Despite facing data protection controversies, Placer.ai continues to collaborate with multiple app developers, insisting on 'privacy'...

The AI boom is set to drive the stock market, with Goldman Sachs predicting investment opportunities in three key areas. The second phase: AI infrastructure, including companies in semiconductors and cloud services. The third phase: AI empowerment, involving software and IT service companies. The stock market will see more investment opportunities, primarily focused on the AI infrastructure and AI empowerment sectors.

The market size for generative AI in Japan is expected to reach 85 billion yuan by 2024.

["The generative artificial intelligence market is expected to grow by 65% in the next two years, according to a recent report, and the industry is projected to become a $100 billion sector by 2026.", "OpenAI's ChatGPT became the fastest-growing application in history in just two months, demonstrating the immense potential of generative AI.", "Global demand for generative artificial intelligence continues to rise, with the United States, China, and Germany being the main growth countries in this market.", "The generative artificial intelligence market is expected to continue growing in the future."]

In 2023, generative artificial intelligence technology has risen, with Sopra Steria Next research showing that the market will reach $100 billion by 2028. The CEO emphasizes the initial profitability potential of GenAI, while IDC and Bloomberg reports highlight long-term growth prospects, estimating it will reach $1.3 trillion in the next decade. 2024 is expected to be the starting point for monetization growth in GenAI, with major tech companies expanding their products and startups providing specialized solutions. IDC predicts that by 2027, GenAI solutions will...

In 2024, the personal computer market is expected to grow by 8% as consumers are eager to upgrade their pandemic-era computers, seeking devices with artificial intelligence capabilities. The surge in generative AI is driving PC sales, as consumers strive for smarter devices that enhance productivity and leisure experiences. Microsoft will end support for Windows 10 on October 14, 2025, potentially spurring a wave of upgrades across hundreds of millions of devices and propelling sales of the next generation of personal computers. 2024 is anticipated to see a rebound, with companies like HP introducing AI-enabled PCs to support market growth.

The generative AI market is expected to reach $136 billion by 2031, with a compound annual growth rate (CAGR) of 33.2%. North America is the largest market, followed by Europe and the Asia-Pacific region, with rapid growth in the healthcare, media, and entertainment sectors. Generative AI has wide-ranging applications across multiple fields, including art design and healthcare, indicating a positive market outlook. The global market growth is driven by innovations in cloud storage and government initiatives, and generative AI is set to continue its expansion in the future.

The generative AI market is projected to grow to a $59 billion consumer market, generating $11 billion in revenue. Generative AI is widely applied in fields such as marketing and insurance. Market consolidation may occur, and smaller suppliers could disappear.

🚀 Major IT companies Samsung, Kakao, and Naver have launched generative AI systems for healthcare to meet user needs. 🏥 Samsung's subsidiary Harman introduced HealthGPT, providing advanced patient care and medical research support. 🔬 Korean companies like Kakao and Naver are also developing medical generative AI, offering medical information transformation and health record services. 💡 Companies like Google, Amazon, and Microsoft are also venturing into the medical generative AI field to enhance patient treatment outcomes and manage medical records.

The global generative artificial intelligence market size is expected to grow from $10.5 billion in 2022 to $208.8 billion by 2032, with a compound annual growth rate (CAGR) of 35.1%. The North American market currently dominates, but significant growth is expected in the Asia-Pacific region, particularly in China, over the coming years. Generative AI technology has vast application prospects and is poised to fundamentally change the future of content production. Despite the enormous growth potential in the market, challenges such as high implementation costs and talent shortages remain in the technology application process.

ChatGPT has driven a 21-fold increase in the number of English job postings globally related to AI technologies such as GPT or ChatGPT. 92% of decision-makers in the United States believe that interpersonal skills will become increasingly important. LinkedIn users generally identify themselves as having AI skills, particularly users from Singapore, Finland, Ireland, India, and Canada.

OpenAI has incurred losses of $540 million, with revenues of only $28 million, making the prediction of OpenAI's bankruptcy next year potentially a reality. Declining user traffic, competition from open-source models, and pressure from Musk are major reasons for OpenAI's profitability dilemma. The overall profitability issue in the AI industry poses a bankruptcy warning for OpenAI, and small companies entering the AI market are also at risk.

Typeface is an AI marketing content generation platform founded in June 2022 by Abhay Parasnis, the former CTO of Adobe. It generates personalized marketing content with corporate style and characteristics for enterprise clients through model fine-tuning. Typeface has a strong team, and founder Abhay Parasnis has extensive experience in AI and technology, establishing partnerships with Fortune 500 companies.