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Any company can pursue software replacement, according to Nikesh Arora. He states that if the aim is to replace custom software, organizations should be prepared to redesign workflows and train models suited for both user and enterprise context. Arora explains that these efforts, if executed properly, can lead to significant increases in productivity. He also highlights the importance of adapting the approach to make the most of modernization, especially as artificial intelligence continues to alter software solutions within the enterprise sector.
Arora has previously commented on the complexity of building multi model AI systems, noting that orchestration layers are becoming harder to design. He has also said that running open source on rented compute supports flexibility across AI models. These views reflect his continued focus on adaptability and technical challenges within enterprise software modernization.