VCs predict enterprises will spend more on AI in 2026 — through fewer vendors

As enterprises continue to explore various AI tools, a significant shift in spending is anticipated by 2026. A recent survey conducted by TechCrunch among 24 venture capitalists focusing on enterprise solutions revealed a strong consensus: companies are expected to increase their AI budgets, but with a notable caveat. The funds will likely be allocated to fewer vendors, signaling a move towards consolidation. Andrew Ferguson, Vice President at Databricks Ventures, emphasized that 2026 will mark a pivotal transition for enterprises as they begin to streamline their AI investments. He noted that currently, organizations are experimenting with multiple tools for a single purpose, leading to a surge in startups targeting specific market segments. However, as enterprises gather concrete results from AI implementations, they will likely trim down their experimentation budgets, eliminating redundant tools and redirecting those savings towards technologies that have proven effective. Rob Biederman, Managing Partner at Asymmetric Capital Partners, echoed these sentiments, predicting that a concentrated spending approach will emerge across the enterprise landscape. He stated, "Budgets will increase for a select group of AI products that demonstrate clear value, while funding for all others may decline significantly." This could result in a scenario where a limited number of vendors secure a substantial portion of enterprise AI budgets, leaving many others struggling to maintain revenue. Scott Beechuk, Partner at Norwest Venture Partners, highlighted another trend: as businesses acknowledge the importance of safety in AI, funding will shift towards tools that ensure responsible use. Beechuk remarked, “The real investment will focus on safeguards and oversight, which will foster confidence in scaling AI deployments.” Also contributing to this financial strategy, Harsha Kapre, Director at Snowflake Ventures, predicted that enterprises will prioritize three main areas for AI spending in 2026: enhancing data infrastructure, optimizing models post-training, and reducing the number of tools in use. He pointed out that Chief Investment Officers are increasingly aiming to streamline software-as-a-service solutions to improve integration costs and deliver measurable returns on investment. This anticipated focus on consolidation could have significant implications for startups in the AI space. While some companies with unique products or proprietary data may continue to thrive, those offering services similar to established providers like AWS or Salesforce might find investor interest waning. VCs have noted that startups with defensible positions—such as proprietary data or unique offerings—are likely to be more resilient in this evolving market. If these predictions hold true, 2026 could see a surge in enterprise AI budgets, but many startups might struggle to capture a meaningful share of this growing pie.