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Databricks co-founder Matei Zaharia has been awarded the ACM Prize in Computing, one of the most prestigious honors in the field of computer science. Beyond the accolade, Zaharia is making headlines for a bold claim: that artificial general intelligence is not a future milestone but a present reality, just widely misunderstood.
Zaharia, best known for creating Apache Spark, received the award from the Association for Computing Machinery for his contributions to large-scale data processing. He is now focused on applying AI to accelerate scientific research, a domain he believes represents the next major frontier for the technology.
His AGI comments are drawing attention across the industry. His argument is not that AI has achieved science-fiction-style sentience, but rather that current systems can already perform at or above human expert level across a broad enough range of tasks to qualify as AGI by any reasonable definition.
"AGI is here already," Zaharia has stated, suggesting the debate is more about semantics than technical reality.
Key points from his position:
When someone at Zaharia's level, an engineer who helped build the data infrastructure that modern AI runs on, says AGI is already here, service providers should pay attention. The gap between what AI can do today and what most MSPs are deploying for clients is significant. Businesses that treat AI as a future consideration rather than a current operational tool are already falling behind.
For telecom resellers and MSPs, this is a signal to move faster on AI-powered services. Voice agents, automated support workflows, and intelligent client management tools are not emerging technology anymore. They are deployable, proven, and increasingly expected by end customers.
The competitive window for early adoption is closing. Service providers who wait for AI to "mature further" may find that their competitors have already locked in clients with AI-enhanced offerings.
Watch for enterprise AI adoption to accelerate sharply in 2025 and 2026 as this consensus builds among technical leaders, which will drive end-customer demand directly to the MSPs and resellers who serve them. If you have not yet built an AI service layer into your portfolio, the time to act is now.
For the full story, read the original article on TechCrunch AI.