May 21, 2025

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AI Adoption Rises in Finance, Manufacturing, and Cybersecurity

A recent series of reports and developments have highlighted the growing importance of artificial intelligence (AI) in various industries, including cybersecurity, finance, and manufacturing. According to the 2025 Thales Data Threat Report, nearly 70% of organizations view the rapid pace of AI development as a leading security concern, with 73% investing in AI-specific security tools to mitigate risks. Meanwhile, companies like Temenos and Siemens are leveraging AI to improve financial product design, factory floor productivity, and quality inspection. Additionally, researchers at Oregon State University have developed an energy-saving AI chip, and Google has introduced an AI-powered search feature. The rise of AI is also changing hiring practices in Silicon Valley, with a shift towards more experienced professionals and automation of tasks previously assigned to junior developers.

Key Takeaways

  • Nearly 70% of organizations consider the rapid pace of AI development as a leading security concern.
  • 73% of organizations are investing in AI-specific security tools to mitigate risks.
  • Temenos has launched a Gen AI assistant to help banks design and optimize financial products.
  • Siemens is using industrial AI to transform factory floors and make them more productive.
  • Researchers at Oregon State University have developed an energy-saving AI chip.
  • Google has introduced an AI-powered search feature called A.I. Mode.
  • The rise of AI is changing hiring practices in Silicon Valley, with a shift towards more experienced professionals.
  • AI tools are automating tasks previously assigned to junior developers, requiring more discernment and architectural thinking.
  • Nvidia CEO Jensen Huang has criticized the US restrictions on AI chip sales to China.
  • The Port of Corpus Christi is using an AI-powered digital replica to track ships and prepare for emergencies.

Thales Report Reveals AI Security Risks

The 2025 Thales Data Threat Report found that nearly 70% of organizations view the rapid pace of AI development as the leading security concern related to its adoption. The report also highlights the importance of data quality and security for AI systems. Organizations are investing in AI-specific security tools, with 73% reporting investment in such tools. The report also notes a modest decline in data breaches, but threats remain elevated.

Organizations Prioritize AI Security

A report by Thales found that nearly 70% of organizations consider the rapid progression of artificial intelligence as the primary security concern associated with its adoption. The report highlights the need for specialized defenses to mitigate AI-driven risks. Organizations are investing in AI-specific security tools, with 73% reporting investment in such tools. The report also notes a modest decline in data breaches, but threats remain elevated.

Thales Report Highlights AI and Quantum Threats

The 2025 Thales Data Threat Report found that AI and quantum threats are top security concerns for organizations. The report highlights the need for specialized defenses to mitigate AI-driven risks and the importance of post-quantum cryptography. Organizations are investing in AI-specific security tools, with 73% reporting investment in such tools. The report also notes a modest decline in data breaches, but threats remain elevated.

GenAI Cyber Risks Drive Investment in AI Security

A report by Thales found that 73% of organizations are investing in AI-specific security tools due to growing concerns about GenAI cyber risks. The report highlights the need for specialized defenses to mitigate AI-driven risks. Organizations are adopting a range of solutions, including tools from cloud providers, established security vendors, and new startups. Security for generative AI has risen to the second highest security spending priority.

AI Leads Security Concerns for Businesses

A report by Thales found that nearly 70% of organizations view the rapid pace of AI development as the leading security concern related to its adoption. The report highlights the importance of data quality and security for AI systems. Organizations are investing in AI-specific security tools, with 73% reporting investment in such tools. The report also notes a modest decline in data breaches, but threats remain elevated.

Temenos Launches Gen AI Copilot for Banks

Temenos has launched the Temenos Product Manager Copilot, a Gen AI assistant that helps banks design, launch, and optimize financial products faster. The copilot integrates Microsoft Azure OpenAI Service and is embedded within the Temenos Retail core banking solution. It provides a simple, conversational way for product managers to explore core banking functionality and data insights.

Temenos Introduces Gen AI Copilot

Temenos has introduced the Temenos Product Manager Copilot, a Gen AI assistant that helps banks design, launch, and optimize financial products faster. The copilot integrates Microsoft Azure OpenAI Service and is embedded within the Temenos Retail core banking solution. It provides a simple, conversational way for product managers to explore core banking functionality and data insights.

OSU Researchers Develop Energy-Saving AI Chip

Researchers at Oregon State University have developed a groundbreaking chip that can cut the energy consumption of artificial intelligence's large language models by half. The chip aims to address the issue of high-speed data transmission errors and reduce energy usage. The technology has the potential to significantly aid in recovering original data and identifying errors.

AMD Sells Server Unit to Sanmina

AMD has announced the sale of its server unit to Sanmina, a leading integrated manufacturing solutions company, in a $3 billion deal. The transaction includes a contingent payment of up to $450 million and is expected to close near the end of 2025. Sanmina will become a preferred new product introduction manufacturing partner for AMD's cloud rack and cluster-scale AI solutions.

AI Agents to Assist Programmers

AI agents are expected to take over grunt work for programmers, freeing them up to focus on more complex tasks. This shift is driven by the increasing use of AI in software development and the need for more efficient coding practices.

Nvidia CEO Criticizes US AI Chip Sales Ban

Nvidia CEO Jensen Huang has criticized the US restrictions on AI chip sales to China, describing the move as 'deeply uninformed' and 'deeply painful'. The restrictions have forced Nvidia to write off $5.5 billion in inventory and potentially forgo $15 billion in sales to China.

Port of Corpus Christi Uses AI for Ship Tracking

The Port of Corpus Christi is using an AI-powered digital replica to track ships and prepare for emergencies. The system, called OPTICS, uses machine learning to predict a ship's position and provides a real-time overview of port operations. The port is also using generative AI for emergency response training, creating hypothetical events based on past incidents.

Siemens Makes Factory Floors Smarter with AI

Siemens is using industrial AI to transform factory floors, making them more productive, flexible, and insightful. The company is collaborating with NVIDIA to bring AI technologies directly to factory and shop floors, making advanced automation more accessible. Siemens' Inspekto, an AI-driven visual quality inspection system, enables small manufacturers to automate defect detection in their production lines.

Google Introduces AI Mode for Search

Google has introduced a new feature in its search engine called A.I. Mode, which functions like a chatbot and allows people to start a query, ask follow-up questions, and use the company's AI system to deliver comprehensive answers. The feature is a total reimagining of search and is part of Google's efforts to disrupt its traditional search business before AI competitors can.

AI Changes Silicon Valley's Hiring Practices

The rise of AI is changing Silicon Valley's hiring practices, with a shift away from youthful dominance and towards more experienced professionals. A report by SignalFire found that entry-level hiring in Big Tech is down more than 50% from pre-pandemic levels, and startups are focusing on survival and cutting burn rates. The report also notes that AI tools are automating tasks previously assigned to junior developers, requiring more discernment and architectural thinking.

Sources

AI Security Artificial Intelligence Data Quality Data Security Generative AI Machine Learning