Databricks Co-founder and Chief Technology Officer Matei Zaharia has been named the 2026 recipient of the prestigious ACM Prize in Computing. The award, issued by the Association for Computing Machinery on Wednesday, recognizes Zaharia's collective contributions to the field of computing and includes a $250,000 cash prize. Zaharia plans to donate the funds to a charity to be determined. He expressed surprise at the news, noting that he nearly missed the email informing him of the honor. Zaharia's impact on the technology industry began in 2009 during his PhD studies at the University of California, Berkeley, under the guidance of Professor Ion Stoica. He developed Spark, an open-source project designed to accelerate the processing of large-scale data. At the time, big data was a critical bottleneck for the industry, and Spark dramatically improved efficiency, elevating the 28-year-old Zaharia to celebrity status within tech circles. He co-founded Databricks based on this technology, serving as its engineering lead as the company grew into a cloud storage giant and a foundational platform for artificial intelligence and autonomous agents. Today, Databricks boasts a valuation of $134 billion, having raised over $20 billion and generating $5.4 billion in revenue. In addition to his role at Databricks, Zaharia is an associate professor at UC Berkeley and focuses his attention on the future of artificial intelligence. He stated that Artificial General Intelligence, or AGI, is already here, though it has not yet been recognized in the traditional sense. He argued that the industry should stop applying human standards to AI models. For instance, while a human lawyer must integrate vast amounts of knowledge to pass the bar exam, an AI can ingest information instantly. Correctly answering knowledge questions does not equate to the same type of general understanding a human possesses. Zaharia highlighted the risks of treating AI like a human assistant, citing the example of the OpenClaw agent. While such tools can automate tasks efficiently, they also pose security nightmares by mimicking trusted humans who hold passwords or banking access. This design increases the risk of unauthorized spending or data breaches through hacked browsers. Zaharia emphasized that AI should not be viewed as a miniature person. Instead, he advocates for leveraging AI's unique strengths in research and engineering. He envisions a future where AI aids in automating complex tasks, from biology experiments to data compilation. Similar to how coding assistants have democratized software development, he believes accurate, non-hallucinating AI will eventually make advanced research accessible to everyone. He sees the most promise in AI designed specifically for search, research, and engineering, such as predicting the effectiveness of molecular-level changes or interpreting sensor data beyond text and images.