AI is reshaping budget priorities for 2026, making it easier for companies to secure funding for AI projects compared to traditional SaaS tools. CFOs are eager to invest in AI, often reallocating funds from past SaaS expenditures. This shift highlights a broader trend where companies want to enhance productivity through AI, but they also face pressure to deliver results to their boards. Existing customers are seen as the first avenue for AI sales, with a focus on upselling to those who already trust the vendor's products. As companies dive deeper into AI, many are realizing that building internal solutions often results in poor ROI. The article cites the Moltbook incident, where a major security breach revealed the risks associated with hastily developed AI applications. This serves as a cautionary tale; companies are better off relying on established vendors rather than risking internal projects that can distract from core business functions. AI also encourages a multi-product approach, forcing companies to expand their offerings to stay competitive. As organizations work to integrate AI, many are still grappling with messy data and processes, which hampers their ability to fully leverage AI's potential. The article notes that gross margins for AI companies are rising significantly, suggesting they could outperform legacy SaaS models by having fewer employees and lower stock-based compensation issues. However, nearly 40% of companies plan to change AI pricing strategies, which could alienate customers if not handled carefully.