Artificial intelligence continues to advance rapidly, but Nvidia CEO Jensen Huang believes the industry may have reached a much bigger milestone.
Following the release of OpenAI’s latest model, Astra, Huang declared that “AGI has arrived.” OpenAI described Astra as its most intelligent and aligned model, designed to handle demanding professional work with greater speed, accuracy, and judgment.
Whether Astra truly represents artificial general intelligence remains open to debate. For MSPs, however, the more immediate question is what increasingly capable AI could mean for their businesses and their clients.
1. More Capable AI Could Expand MSP Automation
As AI systems improve at reasoning and professional tasks, MSPs may find opportunities to automate more sophisticated work rather than limiting AI to simple, repetitive processes.
That could affect areas ranging from service operations and documentation to analysis and customer support, potentially allowing technicians to focus more time on work requiring human expertise.
MSP Action: Identify time-consuming processes where advanced AI could improve efficiency while maintaining appropriate human oversight.
2. AI Could Change What Clients Expect From Their MSP
Clients don’t need to agree on whether AGI has arrived to recognize that AI capabilities are advancing.
As businesses encounter increasingly powerful AI systems, they may expect their MSPs to help determine which tools are useful, how they should be deployed, and where potential risks exist. That can expand the MSP’s role beyond managing technology to guiding AI strategy.
MSP Action: Build AI into client strategy conversations and help customers evaluate practical use cases rather than simply following AI hype.
3. AI Governance Becomes More Important
Greater AI capability can create greater business value, but it can also raise questions involving security, data access, accuracy, accountability, and oversight.
For MSPs helping clients adopt advanced AI, governance can become an increasingly important part of the service relationship. Businesses may need guidance on what employees can use, what information AI systems can access, and where human approval remains necessary.
MSP Action: Help clients establish policies around approved AI tools, data usage, access controls, human review, and responsible deployment.
4. The AGI Label Matters Less Than Business Results
The article highlights how unsettled the AGI debate remains. While Huang and OpenAI leaders are using language suggesting a major new era of AI, other experts remain skeptical. AI pioneer Andrew Ng, for example, has argued that true AGI could still be decades away.
For MSPs, resolving that debate isn’t necessary to create value for clients. What matters more is determining what today’s technology can reliably accomplish.
MSP Action: Evaluate AI based on measurable results such as productivity, service quality, efficiency, cost savings, and risk rather than labels such as AGI.
5. MSPs Have an Opportunity to Become AI Advisors
Rapid advances in AI can create uncertainty for organizations without internal expertise to evaluate new models and capabilities.
That gives MSPs an opportunity to extend their trusted-advisor role. Instead of simply deploying AI products, providers can help clients identify useful applications, assess risks, establish appropriate controls, and determine where investments are likely to deliver meaningful results.
MSP Action: Develop internal AI expertise and create a repeatable process for assessing AI tools, identifying client use cases, and recommending responsible adoption strategies.
Preparing for the Next Stage of AI
Whether Astra represents true AGI will likely remain a subject of debate. What is clearer is that AI systems are becoming increasingly capable, and businesses will need help understanding what those capabilities mean.
For MSPs, that creates both an operational and advisory opportunity. Providers that can evaluate advanced AI, apply it responsibly, and translate new capabilities into practical business outcomes can become increasingly valuable partners as the technology evolves.
The opportunity doesn’t depend on declaring that AGI has arrived. It depends on being prepared for what increasingly powerful AI can do next.