AI Race Heats Up: Google Gemini 3, Intuit ChatGPT, OpenAI Codex MAX, and EU GDPR Changes

Google has launched its latest AI model, Gemini 3, which is designed to enhance multimodal processing capabilities by simultaneously handling text, images, and audio. This model, particularly the Gemini 3 Pro version, aims to improve the accuracy and reasoning capabilities of AI systems, positioning Google to compete more effectively with OpenAI in the consumer AI market. The introduction of Gemini 3 Pro is part of a broader trend where companies are increasingly integrating AI into their existing workflows, as seen with Intuit’s incorporation of ChatGPT into its financial services, which seeks to streamline tax and accounting processes for users.

OpenAI has also made strides with the release of Codex MAX, an upgraded version of its programming-focused AI model that reportedly executes coding tasks 27-42% faster than its predecessor while using 30% fewer tokens. This enhancement is expected to improve coding efficiency and cybersecurity by enabling long-horizon reasoning, which is essential for identifying vulnerabilities in code. Additionally, PIA has launched an Automation Hub, a marketplace for managed service providers (MSPs) to access pre-built automations, signaling a shift towards purchasing rather than developing custom solutions.

The episode also discusses the evolving regulatory landscape in Europe, where proposed changes to the General Data Protection Regulation (GDPR) and AI laws aim to simplify compliance requirements. These changes could create ambiguity regarding the use of personal data for AI training, raising concerns about potential liabilities for businesses. The simplification of cookie consent policies is another significant development, which may shift responsibility to businesses for compliance with user preferences.

For MSPs and IT service leaders, these developments underscore the importance of staying informed about AI advancements and regulatory changes. As AI becomes more integrated into business operations, the ability to evaluate and govern these technologies will be crucial. MSPs must navigate the complexities of compliance and operational efficiency while ensuring that clients are prepared for the implications of AI adoption, particularly in light of the ongoing challenges related to AI’s performance in tasks such as mathematical calculations.

Four things to know today

00:00 New AI Models, Embedded Integrations, and Automation Marketplaces Signal the Next Shift in How MSPs Evaluate and Govern AI Tools
05:42 Europe Softens Privacy and AI Regulations as Cookie Rules Shift and High-Risk AI Deadlines Are Delayed
08:51 AI Adoption Rises but Value Lags: Workforce Gaps, Model Failures, and Overhyped Expectations Confront IT Teams
14:05 Huntress Expands Into Identity Security as N-able Adds CMMC Controls, Signaling New Expectations for MSP Discipline

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