Generative AI is dissolving the economic logic that made standardized enterprise software the only practical choice for most companies. What replaces it will be shaped not just by the rapidly evolving capabilities of this new technology, but by leaders willing to ask a harder question: Which workflows do we actually need to own?
AI agents generate so much software, so fast, it's nearly impossible for humans to carefully review it all. Cloudsmith has the scale and the broad view across the open-source ecosystem to protect enterprises against the new kinds of threats that AI-driven development introduces.
Exchanges are a place where you can submit an order to buy something, letting everyone know about the price you want and notifying you when your order gets filled. They serve as financial infrastructure, providing up-to-date prices and facilitating trades.
A North American manufacturer spent most of 2024 and early 2025 doing what many innovative enterprises did: aggressively standardizing on the public cloud by using data lakes, analytics, CI/CD, and even a good chunk of ERP integration. The board liked the narrative because it sounded like simplification, and simplification sounded like savings. Then generative AI arrived, not as a lab toy but as a mandate. "Put copilots everywhere," leadership said. "Start with maintenance, then procurement, then the call center, then engineering change orders."
