In a recent LinkedIn post, Betsy Tong highlights a significant paradox emerging in the business world regarding the adoption and perception of Artificial Intelligence (AI) in the workplace. Tong raises concerns that despite executive mandates for AI utilization, employees who admit to using these tools may face negative biases in performance evaluations and project opportunities.
Tong’s post begins by framing the common corporate directive: “The Boss: Use AI.” This is juxtaposed with a critical observation: “‼️ You: Rated 10x lazier.” This sets the stage for an exploration of the unintended consequences of pushing AI adoption without addressing the human element and potential biases.
“Evaluators rated those that used AI 10 times lazier. What’s worse? The manager was 24 points less likely to recommend them for a high-visibility project.”
The Unintended Bias in AI Adoption
Betsy Tong points to an experiment conducted by Atlassian’s Teamwork Lab, which involved 961 US knowledge workers. The study revealed a stark difference in how employees were perceived based on their willingness to disclose AI usage. Tong emphasizes that this bias can undermine the very goals of AI integration.
As Betsy Tong notes, the findings from the Atlassian experiment suggest a significant disconnect between leadership’s push for AI and the reality of employee perception. The data indicates that admitting AI use not only led to a rating of being “10 times lazier” but also significantly reduced the likelihood of being recommended for high-visibility projects. This creates a challenging environment where employees may feel incentivized to hide their use of AI tools, even when mandated by leadership.
The Cost of Secrecy
Tong further elaborates on the detrimental effects of this AI paradox, arguing that it fosters an environment of secrecy and distrust. She outlines several critical costs associated with employees not disclosing their AI usage:
- People learn not to disclose their AI use.
- Employees stop documenting AI in the trail of their work.
- Organizations lose the ability to track and understand how AI is contributing to outcomes.
- Adoption numbers become misleading, based on license logins rather than genuine results.
- Audits may become suspicious of AI use due to untraceable records.
“So the execs mandated the tool and the review punishes anyone who admits using it,” Tong states, underscoring the contradiction inherent in current AI strategies.
The AI Strategy Contradiction
Betsy Tong quotes Molly Sands, who runs the Atlassian Teamwork Lab, stating, “you don’t have an AI strategy; you have an AI contradiction.” This highlights a broader systemic issue where companies are implementing AI without a coherent plan for how it integrates with human performance and perception.
Tong challenges business leaders to reflect on their own teams’ dynamics. She poses a pointed question: “Would your team admit how much AI they use to you?” This prompts a critical self-assessment of whether the current work environment encourages transparency or discourages it, ultimately impacting the true adoption and effectiveness of AI within an organization.
In conclusion, Betsy Tong’s analysis serves as a crucial warning to businesses navigating the complexities of AI integration. By revealing the potential for bias against AI users, she urges a re-evaluation of performance metrics and company culture to ensure that AI adoption is both transparent and truly beneficial, rather than a source of hidden contradictions and unintended consequences.
📝 About This Content
This article is based on insights shared by Betsy Tong on LinkedIn.
📅 Originally posted on September 8, 2026 | View original post on LinkedIn →