For makers and artists navigating the corporate AI landscape, the pressure to adopt new tools is intensifying, often with metrics that feel more like surveillance than empowerment. Salesforce has implemented an internal dashboard tracking team adoption of artificial intelligence, monitoring usage of specific models like ChatGPT and awarding digital badges such as “Champion,” “Innovator,” and “Legend” based on completed training modules. Leaked screenshots reveal a leaderboard that explicitly flags teams lagging behind, prompting fears among staff that their engagement with these technologies will directly influence performance reviews and job security.
The gap between hype and reality
Data visible on the dashboards indicates that only roughly one-third of the workforce has completed the most basic AI course. More concerning for internal product strategy, the usage of Salesforce’s proprietary agentic AI platform, Agentforce, has plummeted across numerous teams, with some seeing a drop of up to 65 percent in recent periods.
Context of layoffs and market performance
This internal push comes amidst a turbulent period for the company. Salesforce has undergone a significant strategic pivot toward artificial intelligence, a move that coincided with the dismissal of thousands of employees. Consequently, the company’s share price has fallen by over 20 percent this year alone. This situation mirrors reports from other tech giants, such as Amazon, which recently dismantled its own internal AI rankings after discovering staff were gaming the system to improve their standing and secure better performance evaluations.
Employee perspectives on transparency
“People at the company [definitely] pay attention to it,” a current Salesforce employee told 404 Media. While the company has not publicly clarified exactly which metrics determine safe employment, the sentiment is widespread that AI usage is either already or imminently linked to performance ratings. The source requested anonymity, noting they were not permitted to speak to the press.
Badge definitions and adoption rates
The recognition programme begins with employees demonstrating an understanding of agentic AI and progresses to building advanced customisations. According to Salesforce’s public materials, the tiers are defined as follows:
- Champion: Can confidently explain Agentforce concepts and their business impact.
- Innovator: Implements Agentforce solutions to drive measurable business outcomes.
- Legend: Understands advanced concepts and designs complex strategies.
Technically, these badges are open to anyone, even those outside the organisation, yet the leaderboard strictly tracks internal staff. Current figures suggest approximately 30 percent of employees have earned the Champion status, just over 15 percent hold the Innovator badge, and fewer than 10 percent have reached Legend status.
Executive influence and tool preferences
The dashboard is organised hierarchically, with executives listed at the top, their respective teams contributing to the aggregate scores. Srinivas Tallapragaca, President and Chief Engineering and Customer Success Officer, leads the Champion leaderboard. David Schmaier, President and Chief Strategy Officer, and Robin Washington, President and COFO, follow. Kendall Collins, President & CEO of Government Cloud, leads both the Innovator and Legend leaderboards.
Internal sources indicate that senior leadership is aggressively pushing for daily adoption of all available AI tools. “If we get a new tool, we are told to start using it,” the employee noted. “Generally, everyone is supposed to be using AI daily and is supposed to be using all the AI tools made available for their role.”
Discrepancies in tool adoption
While executives push for universal adoption, the data reveals a stark preference for third-party tools over internal ones. The dashboards show a dramatic decline in Agentforce usage, with various teams dropping usage by more than 60 percent, and occasionally 70 percent. Conversely, Slackbot, the AI agent within Slack which Salesforce owns, sees significantly higher engagement. ChatGPT also retains popularity among many teams, outperforming Google’s Gemini according to the available screenshots.
Spokesperson response and recent hiring freezes
A Salesforce spokesperson, speaking on background, stated that the boards are not designed to encourage competition and are unrelated to performance metrics. They noted that all staff have until summer to earn the badges. However, when asked for an on-the-record statement, the spokesperson indicated the company would not provide one. This narrative of forced adoption contrasts sharply with recent hiring and firing data. In February 2025, Salesforce cut more than 1,000 roles while simultaneously hiring sales staff for AI initiatives. More recently, the company laid off employees working on Agentforce, Mulesoft IT integration, and Marketing Cloud software.
Key takeaways
- Internal AI leaderboards and badge systems are creating a culture of surveillance, with employees fearing direct links between tool usage and performance reviews.
- Adoption of proprietary internal AI tools like Agentforce is collapsing, while third-party models like ChatGPT and Slackbot remain preferred by teams.
- The push for AI adoption is occurring alongside significant workforce reductions, raising questions about the genuine utility of these metrics versus their role in management oversight.
