Salesforce is taking longer than expected to shift its operations toward artificial intelligence, Luria said [1].

This delay is significant because Salesforce is a dominant force in customer relationship management software. A slow transition to AI could allow competitors to capture market share as enterprises prioritize automated tools, and generative intelligence for their workflows.

Luria shared these insights during an appearance on Bloomberg's "The Close" while discussing the company's latest earnings release [1, 2]. He said that the transition to AI is not progressing as quickly as market observers had anticipated [1, 3].

The analyst attributed the lag to the timing of the company's initial AI rollout [4]. Luria said that Salesforce's early launch of AI features has negatively impacted the performance of its core business [4].

While some reports focus primarily on the timeline of the AI shift [1, 2], other analysis suggests the core business has suffered due to the strategic haste of the initial rollout [4]. This creates a tension between the company's need to innovate and its need to maintain the stability of its primary software offerings.

Salesforce continues to integrate AI across its platform to maintain its industry position. However, the current pace of adoption and integration remains a point of contention for analysts monitoring the tech sector [1, 3].

Salesforce's transition to AI is progressing slower than anticipated

The friction in Salesforce's AI transition highlights the risk of 'first-mover disadvantage,' where an early, imperfect rollout can alienate a core user base or destabilize existing revenue streams. If the company cannot balance its legacy CRM strengths with new AI capabilities, it may face a period of stagnation while more agile competitors refine their AI integration.