AMD, ChatGPT & Gemini: AI's Impact on Banking, Security

Several key developments are shaping the AI landscape. In Europe, companies like ASML, SAP, and Mistral AI are urging the EU to delay the AI Act, citing a lack of clear compliance guidelines and potential hindrances to innovation. The EU's AI Code of Practice, intended to help companies comply with the act for large language models like ChatGPT, may not be ready until late 2025, further complicating matters. The AI Act's rules for general-purpose AI models are set to become legally binding on August 2, with enforcement for new models starting a year later. Meanwhile, Mark Cuban predicts AI could create the world's first trillionaire, encouraging people to learn about AI tools like Gemini and ChatGPT, while also cautioning against assuming AI's answers are always correct. In practical applications, Conifers.ai has been recognized by Gartner for its AI SOC platform, which helps security teams manage threats more efficiently. Anoka County is testing AI to handle non-emergency 911 calls, aiming to save time for dispatchers. However, Veracode's CISO warns that while AI accelerates code creation, security fixes are lagging, emphasizing the need to prioritize vulnerability fixes. Looking ahead, a report suggests AI could reshape banking by 40% by 2030, with significant impact on tech, engineering, and infrastructure. The rise of AI bots may soon lead to them outnumbering humans on the internet, potentially affecting ad revenue for content creators. AMD highlights how agentic AI is transforming computing infrastructure, enabling AI assistants to handle complex tasks. Utilities are also leveraging AI to manage energy grid stress, with companies like Duke Energy using AI for predictive maintenance. However, many AI projects are failing due to poor user experience, underscoring the importance of user-centered design.

Key Takeaways

  • ASML, SAP, and Mistral AI are among 45 organizations requesting the EU to delay the AI Act by two years due to a lack of compliance guidelines.
  • The EU's AI Code of Practice, designed to aid compliance with the AI Act for models like ChatGPT, may not be ready until late 2025.
  • Mark Cuban believes AI could create the first trillionaire but advises users to be cautious about AI's accuracy.
  • Conifers.ai's CognitiveSOC platform has been recognized by Gartner for reducing security investigation times by up to 87%.
  • Anoka County is testing AI for non-emergency 911 calls, expecting to save two to three minutes per call.
  • Veracode's CISO warns that AI-generated code's security fixes are not keeping pace with its creation speed.
  • A report forecasts AI could reshape banking by 40% by 2030, significantly impacting tech, engineering, and infrastructure.
  • AI bots may soon outnumber humans on the internet, potentially affecting ad revenue for content creators.
  • AMD highlights how agentic AI is transforming computing infrastructure, enabling AI assistants to handle complex tasks.
  • Poor user experience is causing many AI projects to fail, emphasizing the need for user-centered design.

ASML, SAP, Mistral ask EU to delay AI Act rules

ASML, SAP, and Mistral AI are among over 45 organizations asking the EU to delay implementing its AI Act for two years. They believe the current rules risk hindering AI innovation in Europe. The companies say the European Commission hasn't provided necessary guidelines for compliance. They suggest prioritizing regulatory quality to encourage innovation and investment. The AI Act aims to prevent AI abuses, with compliance required for powerful AI models by August.

EU AI Act enforcement may be delayed

Companies and politicians are asking the European Union to delay enforcing parts of its AI Act. The act includes rules for general purpose AI (GPAI) models, like those from Google, Mistral, and OpenAI, which are set to start on August 2. Companies worry about the costs of following the rules and are unsure how to comply without guidelines. A group of 45 European companies wants the EU to pause the AI Act for two years to simplify the rules. EU tech chief Henna Virkkunen plans to release the AI Code of Practice before August.

EU says AI code of practice may arrive late 2025

The European Commission announced that a code of practice to help companies follow the EU's AI rules may not be ready until the end of 2025. Companies like Google, Meta, Mistral, and ASML have asked for a delay in implementing the AI Act because of the missing code. The code is for large language models like ChatGPT. The AI rules for GPAI models become legally binding on August 2, but enforcement for new models starts a year later.

Mark Cuban says AI could create first trillionaire

Mark Cuban believes AI could help someone become the world's first trillionaire. He says this person could be someone working alone who finds a new way to use AI. Cuban notes AI is still in its early stages, like PCs and the internet were before. He encourages people to learn about AI by using tools like Gemini and ChatGPT. However, he warns that AI is not truly thinking and users should not assume its answers are always correct.

Mark Cuban says AI could create first trillionaire

Mark Cuban believes AI could help someone become the world's first trillionaire. He says this person could be someone working alone who finds a new way to use AI. Cuban notes AI is still in its early stages, like PCs and the internet were before. He encourages people to learn about AI by using tools like Gemini and ChatGPT. However, he warns that AI is not truly thinking and users should not assume its answers are always correct.

Conifers.ai named in Gartner's AI SOC Agents category

Conifers.ai, which provides an AI SOC platform, has been recognized in Gartner's Hype Cycle for Security Operations, 2025, in the AI SOC Agents category. Their CognitiveSOC platform helps security teams quickly handle complex threats, cutting investigation times by up to 87%. The platform uses AI to integrate with existing tools and adapt to customer data and risk needs. Gartner notes that AI SOC agents can help security teams by reducing task times and improving overall SOC performance.

Anoka County tests AI for 911 nonemergency calls

Anoka County's 911 center is testing an AI system to handle nonemergency calls, especially during busy times like the Fourth of July weekend. The AI will gather details from callers before transferring them to a dispatcher. Officials expect the AI to save two to three minutes per call. This will free up dispatchers to focus on emergency calls. Minneapolis residents can call 311 for noise complaints, while other cities have non-emergency numbers.

AI codes fast but security lags behind says Veracode CISO

Generative AI can create code much faster than traditional methods, but security fixes are not keeping pace. Veracode's CISO, Sohail Iqbal, says companies should focus on the most impactful vulnerabilities. He urges CISOs to prioritize fixes based on risk to the organization. Iqbal also discussed securing first-party versus third-party code. He recommends using third-party scanning tools to protect against open-source threats.

AI to reshape banking by 40% by 2030 report says

A new report predicts AI could change banking by as much as 40% by 2030. ThoughtLinks, led by Sumeet Chabria, says AI will reshape many banking tasks. The report analyzed nearly 5,000 banking processes to see which areas would be most affected. Tech, engineering, and infrastructure could see 55% of their work redefined. Banks are investing in AI, with Goldman Sachs using GS AI Assistant and Citigroup creating a role to drive AI strategy.

AI bots may soon outnumber humans on the internet

The internet may be changing as AI bots become more common than human visitors. AI companies are using bots to gather information from websites to answer questions in chat windows. This could reduce the number of people clicking through to original sources, affecting ad revenue for content creators. Cloudflare reports a rise in bot activity and a drop in human visits. Some companies are experimenting with ways to charge AI companies for using their content.

Agentic AI transforms computing infrastructure

Agentic AI, which involves models that can think, plan, and act on their own, is changing computing. These AI assistants can handle tasks like booking venues and managing customer queries. Vamsi Boppana from AMD says specialized AI agents can work together to solve problems. This machine-to-machine interaction is creating a new level of intelligence. Enterprises are finding that true autonomy requires a new computing foundation.

AI helps utilities manage energy grid stress

Utilities are starting to use AI to manage the increasing stress on the energy grid. Climate change and data center growth are adding to the pressure. AI is helping with predictive maintenance to find and fix problems before they cause outages. Duke Energy uses AI to monitor its transformers. Rhizome uses AI to map climate-driven risks and help utilities invest in upgrades.

AI projects fail due to poor user experience

Many AI projects fail because people don't use the tools, even when the technology works. This is often due to poor user experience (UX). Unclear interfaces and confusing workflows cause users to lose trust in AI tools. Marketing leaders can help by researching user needs and designing better experiences. Companies should focus on building AI around real needs and creating consistent design standards.

Sources

AI Act European Union Regulation AI Innovation Compliance General Purpose AI (GPAI) AI Code of Practice Large Language Models ChatGPT Mark Cuban Trillionaire Gemini AI SOC Agents Conifers.ai Gartner Security Operations CognitiveSOC Threat Detection 911 Calls Anoka County AI System Testing Non-Emergency Calls Generative AI Veracode Code Security Vulnerabilities Banking ThoughtLinks AI Transformation Goldman Sachs Citigroup AI Bots Internet Traffic Cloudflare Ad Revenue Agentic AI AMD Computing Infrastructure AI Agents Utilities Energy Grid Predictive Maintenance Duke Energy Rhizome User Experience (UX) AI Projects Design Standards Mistral AI ASML SAP