TSMC reports 45% year-over-year sales growth driven by AI chip demand

Taiwan Semiconductor Manufacturing Co. (TSMC) reported a 45% year-over-year sales growth in July, driven by strong demand for AI chips. The company's sales reached $14.5 billion, beating market expectations. TSMC's growth is driven by its position as a leading supplier of AI chips, which are used in data centers, artificial intelligence, and other applications.

ASUS is partnering with Google to bundle Google AI Pro on Windows laptops, targeting Microsoft Copilot users. The deal offers customers three months of Google AI Pro or Google AI Plus at no additional cost. The move is seen as a strategic play by Google to expand its AI offerings and challenge Microsoft's Copilot+.

Nvidia has released an open-source AI model called Nemotron 3.5 Lightning, which is a lightweight model that can run on a single GPU. The model is free for companies to download, use, and modify without getting permission or paying Nvidia.

Anthropic's AI model, Claude, has made a significant improvement to a related function lower bound, increasing it from 41% to 67%. The model was tasked with attempting to solve the Riemann hypothesis, one of the oldest and most stubborn unsolved problems in mathematics.

Researchers have disclosed a new AI-assisted exploit chain for SharePoint, a popular collaboration platform. The exploit chain uses a combination of vulnerabilities to gain unauthorized access to SharePoint servers.

Grindr is accelerating its AI-native overhaul, with strong user engagement and operating leverage driving a 33% year-over-year revenue growth. The company's AI transformation is intended to improve both internal efficiency and user experience.

The increasing use of AI agents is driving the need for new trust models to verify identity and assign accountability. Organizations must distinguish between trusted agents acting on a user's behalf and malicious automation while preserving visibility across the entire transaction life cycle.

Key Takeaways

• TSMC reported a 45% year-over-year sales growth in July, driven by strong demand for AI chips, with sales reaching $14.5 billion. • Amazon's new AI data center in Virginia is expected to consume 1.8 megawatts of electricity per hour, making it a significant source of pollution. • ASUS partnered with Google to bundle Google AI Pro on Windows laptops, targeting Microsoft Copilot users. • Nvidia released an open-source AI model called Nemotron 3.5 Lightning, which is a lightweight model that can run on a single GPU. • Anthropic's AI model, Claude, improved a related function lower bound from 41% to 67%. • Researchers disclosed a new AI-assisted exploit chain for SharePoint, a popular collaboration platform. • Grindr accelerated its AI-native overhaul, with strong user engagement and operating leverage driving a 33% year-over-year revenue growth. • KnowBe4 introduced a new real-time coaching feature for its AI-native security awareness training. • New trust models are needed to verify identity and assign accountability as AI agents become more prevalent. • Job seekers are using hidden text in resumes and applications to trick AI hiring systems.

TSMC sales surge 45% on strong AI chip demand

Taiwan Semiconductor Manufacturing Co. reported a 45% rise in its monthly sales, driven by sustained demand for AI hardware. The company's sales reached $14.5 billion in July, beating market expectations. TSMC's strong performance is a sign of the growing demand for AI chips, which are used in data centers, artificial intelligence, and other applications. The company's CEO, C.C. Wei, stated that AI-related demand continues to be extremely robust. TSMC's sales growth is expected to continue, with the company guiding for 40% growth in revenues for this year.

TSMC reports 45% sales jump on strong AI chip demand

Taiwan Semiconductor Manufacturing (TSM) reported a 45% year-over-year sales growth in July, driven by strong demand for AI chips. The company's sales reached $14.5 billion, beating market expectations. TSMC's stock wavered despite the strong sales report. The company's growth is driven by its position as a leading supplier of AI chips, which are used in data centers, artificial intelligence, and other applications.

TSMC sees 45% sales jump on AI demand

Taiwan Semiconductor Manufacturing (TSMC) reported a 44.7% year-over-year sales growth in July, driven by strong demand for AI chips. The company's sales reached $14.5 billion, beating market expectations. TSMC's growth is driven by its position as a leading supplier of AI chips, which are used in data centers, artificial intelligence, and other applications. The company's CEO, C.C. Wei, stated that AI-related demand continues to be extremely robust.

TSMC's July revenue surges 45% on AI hardware demand

Taiwan Semiconductor Manufacturing Co. (TSMC) reported a 45% year-over-year sales growth in July, driven by strong demand for AI hardware. The company's sales reached $14.5 billion, beating market expectations. TSMC's growth is driven by its position as a leading supplier of AI chips, which are used in data centers, artificial intelligence, and other applications.

TSMC reports 45% July sales jump on AI demand

Taiwan Semiconductor Manufacturing Co. (TSMC) reported a 44.7% year-over-year sales growth in July, driven by strong demand for AI chips. The company's sales reached $14.5 billion, beating market expectations. TSMC's growth is driven by its position as a leading supplier of AI chips, which are used in data centers, artificial intelligence, and other applications.

TSMC sales rise 45% on AI hardware demand

TSMC sales surge 45% on AI chip demand

TSMC sales rise as AI hardware demand stays strong

Amazon's new AI data center sparks pollution concerns

Amazon's new AI data center in Virginia is expected to consume 1.8 megawatts of electricity per hour, making it a significant source of pollution. The data center is part of Amazon's efforts to reduce its carbon footprint, but it is expected to have a substantial impact on the environment. The data center will be powered by a combination of solar and wind energy, but it is still expected to produce a significant amount of emissions.

Amazon's AI data center to become largest source of pollution

Amazon's new AI data center in Virginia is expected to become the largest single source of pollution in the United States. The data center will consume 1.8 megawatts of electricity per hour, making it a significant source of emissions. The data center is part of Amazon's efforts to reduce its carbon footprint, but it is expected to have a substantial impact on the environment.

New trust models needed for AI agents

The increasing use of AI agents is driving the need for new trust models to verify identity and assign accountability. AI agents are evolving from information assistants to autonomous actors capable of browsing websites, logging into accounts, and completing transactions. Organizations must distinguish between trusted agents acting on a user's behalf and malicious automation while preserving visibility across the entire transaction life cycle.

KnowBe4 introduces real-time coaching

KnowBe4 has introduced a new real-time coaching feature for its AI-native security awareness training. The feature provides employees with immediate feedback and guidance on secure behavior, helping to prevent cyber attacks. The coaching is triggered by risk signals from security tools and provides contextual advice to users.

Grindr accelerates AI-native overhaul

Researchers disclose AI-assisted SharePoint exploit

Security researchers have disclosed a new AI-assisted exploit chain for SharePoint, a popular collaboration platform. The exploit chain uses a combination of vulnerabilities to gain unauthorized access to SharePoint servers. The researchers used an AI agent to help discover the exploit chain, which highlights the growing use of AI in cybersecurity research.

Hidden text tricks AI hiring systems

Some job seekers are using hidden text in their resumes and applications to trick AI hiring systems. The technique involves adding invisible text that is not visible to human readers but can be detected by AI algorithms. This allows job seekers to manipulate the AI system and increase their chances of getting hired.