The message is clear: Vala Afshar, Salesforce's Chief Digital Evangelist, says businesses can no longer just think about using AI assistants. They must act now or risk becoming outdated. He described the current rapid technological change as 'digital Darwinism,' where survival depends on quick adaptation rather than old systems. This urgency is reflected in the recent stock performance of major enterprise software companies like Salesforce, SAP, and ServiceNow, which have seen significant declines this year.
The 'Five Rs' of Transformation
Afshar outlined a strategic plan for this AI-driven shift. It starts with Redesign: companies must examine their tasks to find repetitive, low-value work that AI can automate. For example, he noted that sales leaders spend only 28% of their time selling, with 72% spent on planning and preparation. AI assistants can now efficiently handle these tasks.
Next is Reskill, where employees whose jobs change are trained for new skills. They are then Redeployed into more complex, creative, and strategic roles, often with better pay. Restructure means adjusting budgets, teams, and management structures to fit this new way of working. The final step, Reclaim Latent Value, involves finding new opportunities. Salesforce's launch of Agentforce Voice support for Hindi in India is a prime example, filling a need for the majority language-speaking population after 25 years.
Shifting the Definition of Work
Salesforce's own journey shows this change in action. Agentforce resolved over 3.5 million customer service cases in 16 months. The 3,000 employees managing this work weren't let go; they moved into roles like forward deployment engineers and solutions engineers after retraining. Now, 60,000 of Salesforce's 85,000 staff use Slack bots daily. This signals a new type of 'hybrid work' where people and AI create value together, focusing on who or what work is done with, not just where. This makes every employee part of a united team.
The Competitive Edge
Afshar believes Salesforce's main advantage isn't its technology, but its employees. While acknowledging competition from AI developers like Anthropic and OpenAI, he argues that Salesforce's strength lies in its 'determinism'—a robust data foundation that makes it more reliable than typical AI language models. A strong system integrating context, work, AI assistants, and communication tools like Slack is vital. Salesforce is also changing its platform, with new initiatives moving towards AI agents as the main users, accessible through APIs. This approach, like autonomous cars reducing the need for drivers, aims to simplify access. Ultimately, adaptability and continuous learning are the most important skills for the future workforce.