There is an active debate within technology circles about whether artificial intelligence is presently transforming software economics or if its most consequential effects will emerge years from now.
In a note published on Tuesday, Bernstein analyst Richard Nguyen and his team took a firm position in favor of the near-term impact. The firm said it belongs to the "Sooner" camp, asserting that AI is a game-changer for the software sector right now.
Bernstein argued that although adoption within enterprise software has trailed consumer use cases, the long-term returns are likely to be deeper and more defensible once AI becomes central to enterprise operations. The note described a structural shift in how software creates value - moving "from applications to AI control planes" - and observed that growth is increasingly driven by "installed-base expansion via premium AI bundles, agents, and consumption-based pricing."
Not everyone in the industry agrees that these dynamics amount to immediate disruption. Ido Arieli Noga, CEO of Yuki, pushed back on the notion that AI agents will supplant data platforms, saying "agents don’t replace data platforms - they ingest data from them." He suggested that the proliferation of agents could instead raise demand for infrastructure.
Arieli Noga emphasized the consumption characteristics of AI systems, noting that agents produce queries "at machine speed, 24/7," and that these queries frequently run without built-in cost optimization. From his perspective, markets may be pricing in disruptive substitution when the more likely near-term outcome is a consumption surge most enterprises are unprepared to handle.
Bernstein reached a related conclusion about demand patterns, stating that AI will not eliminate demand but will reshape it - particularly in IT services, where "AI did not eliminate demand but re-priced it." The firm highlighted changes in pricing dynamics and the ways enterprises procure and pay for software capabilities as central to AI's effect on the sector.
This debate centers on whether AI will primarily re-price and reconfigure existing demand or trigger immediate displacement across platforms, with implications for enterprise software providers, IT services firms, and infrastructure vendors that support AI workloads.