The rapid integration of generative artificial intelligence into the global workforce has catalyzed a significant gender-based divergence in both adoption rates and psychological perception. According to the findings of the 5th annual CNBC SurveyMonkey Women at Work survey, a widening gap is emerging between men and women regarding the utility, ethics, and long-term necessity of AI tools in professional environments. While the "AI craze" has dominated corporate strategy for the past three years, the data suggests that men are moving to embrace these technologies with higher levels of enthusiasm and frequency, whereas women remain notably more skeptical, with many expressing concerns that the use of such tools may compromise professional integrity.
The survey, which polled 6,330 participants between February 10 and February 16, 2024, arrives at a critical juncture for the technology sector. Since the public debut of OpenAI’s ChatGPT in late 2022, the landscape has shifted from experimental chatbots to sophisticated coding agents, image generators, and automated enterprise solutions. However, the benefits of this evolution are not being distributed or utilized equally across gender lines. As artificial intelligence becomes a permanent fixture of the modern office, experts warn that this disparity could have long-term consequences for career advancement, wage equality, and the broader economic landscape.
Divergent Perceptions of AI as a Workplace Tool
At the heart of the divide is a fundamental difference in how men and women perceive the role of AI in their daily tasks. The SurveyMonkey data reveals that 69% of men view AI as a "valuable assistant and collaborator," positioning the technology as an augmentative force that enhances productivity. In contrast, only 61% of women share this sentiment. This 8-point gap suggests a more cautious approach among female professionals, who may be weighing the risks of the technology more heavily than its immediate conveniences.
Perhaps more striking is the moral and ethical lens through which the technology is viewed. Half of all women surveyed—50%—stated that using AI at work "feels like cheating." This sentiment is significantly less prevalent among men, with only 43% agreeing with the statement. This "cheating" narrative points to a potential psychological barrier that could hinder women from leveraging tools that their male counterparts are using to accelerate their output. Whether this stems from a higher commitment to traditional craftsmanship, a fear of being perceived as less competent, or a general distrust of machine-generated content, the result is a measurable hesitation that impacts usage statistics.
A Three-Year Chronology of the Generative AI Boom
To understand the current gender gap, one must look at the rapid-fire timeline of AI development that has pressured the workforce to adapt in a remarkably short period.
The current era began in earnest in November 2022 with the launch of ChatGPT. Within months, the tool reached 100 million monthly active users, making it the fastest-growing consumer application in history at the time. This was followed in early 2023 by a wave of corporate reactions, ranging from outright bans at major financial institutions due to data privacy concerns to the rapid integration of Microsoft’s Copilot and Google’s Gemini (formerly Bard) into standard office suites.
By mid-2023, the focus shifted from simple text generation to multi-modal capabilities. Tools like Midjourney and DALL-E transformed creative departments, while GitHub Copilot began fundamentally altering the workflow of software engineers. By the time the CNBC SurveyMonkey poll was conducted in February 2024, the market had entered a new phase: the rise of "AI agents" and coding-specific tools like Cursor, which allow individuals to build entire applications with minimal manual coding.
This compressed timeline has left little room for organic adaptation. For many workers, the pressure to master these tools has been immense, yet the survey indicates that the motivation to do so is currently skewed by gender.
The Usage Gap and the Rise of the Power User
The survey data highlights a clear disparity in the frequency of AI use. Nearly two-thirds of women (64%) report that they never use AI at work, compared to 55% of men. While a majority of both genders are still not daily users, the "never" category for women is nearly 10 percentage points higher than for men, indicating a substantial portion of the female workforce is remaining on the sidelines of the AI revolution.
The gap is even more pronounced among "power users"—those who integrate AI into their workflow multiple times a day. Approximately 14% of men identify as power users, whereas only 9% of women fall into this category. This 5-point difference at the top tier of usage is particularly significant because these power users are often the ones setting the pace for productivity and innovation within their teams. In many industries, those who can produce high-quality work faster through AI are being positioned for promotions and leadership roles in "AI-first" corporate environments.
Corporate Mandates and the Institutionalization of AI
While individual workers debate the merits of AI, the upper echelons of corporate leadership have already made their decision. Major institutions are aggressively pursuing AI integration as a matter of survival and competitive advantage.
JPMorgan Chase CEO Jamie Dimon has been one of the most vocal proponents of the technology, describing AI as "critical to our company’s future success." During the bank’s 2024 investor day, Dimon revealed that nearly two-thirds of the company’s workforce now utilizes an internal large language model (LLM). Dimon’s stance reflects a broader trend on Wall Street, where AI is viewed not just as a tool, but as a fundamental shift in how business is conducted.
However, Dimon has also been candid about the disruptive potential of the technology, acknowledging that AI will inevitably eliminate certain job functions. His solution—and the solution of many other CEOs—is a focus on retraining. The SurveyMonkey data suggests that the demand for this retraining is high, but the motivations vary. Approximately 59% of men surveyed expressed a need for more training on how to use AI at work. Furthermore, 39% of men admitted to a "fear of missing out" (FOMO) regarding AI skills, compared to 35% of women.
Conversely, 42% of women "strongly disagree" with the notion that failing to embrace AI will lead to missing out on career opportunities, compared to 36% of men. This suggests that a significant portion of the female workforce does not yet view AI proficiency as a "make-or-break" skill for their professional future, a perspective that some experts find concerning.
The "Broken Rung" and Long-Term Career Implications
The potential long-term impact of this gender gap was recently addressed by Sheryl Sandberg, founder of LeanIn.Org and former Chief Operating Officer of Meta. Sandberg has long focused on the "broken rung" in the corporate ladder—the phenomenon where women fall behind at the very first step of the promotion cycle to manager-level positions.
In an interview discussing the survey results, Sandberg warned that the AI divide could exacerbate existing gender inequalities. "We know that AI is going to be challenging for jobs, and it’s going to be the most challenging for the people that don’t know how to use those tools," Sandberg noted. She emphasized that if men are using AI more frequently and effectively early in their careers, they will likely see disproportionate gains in productivity and visibility.
If women are hesitant to use AI because they view it as "cheating" or unnecessary, they risk being outperformed by male colleagues who use the technology to handle administrative or repetitive tasks, allowing them to focus on high-value strategic work. Sandberg warned that this could lead to "disproportionate impacts" that would be detrimental not only to individual careers but to the economy as a whole.
Market Volatility and the Enterprise Software Shift
The gender gap in AI usage is occurring against a backdrop of massive market upheaval. Wall Street analysts have spent much of the past year betting that AI will displace significant portions of the enterprise software stack—the collection of programs companies use to manage everything from payroll to customer relations.
This sentiment explains why many traditional software stocks have struggled even as the broader tech sector surged. If an AI agent can perform the tasks previously handled by a specialized software suite, the value of that software declines. This shift places even more pressure on workers to be the "conductors" of AI tools rather than just users of static software. As companies pivot toward these new architectures, the skills required to remain relevant are shifting toward AI literacy, making the current gender disparity in training and usage a high-stakes issue for the future of the labor market.
Conclusion: Addressing the Skills Gap
The findings of the CNBC SurveyMonkey Women at Work survey serve as a wake-up call for both corporate leaders and educators. The data indicates that the barrier to AI adoption for women is not necessarily a lack of technical capability, but a combination of skepticism, ethical concern, and a lack of institutional encouragement.
To prevent the AI revolution from widening the gender pay and leadership gap, organizations may need to tailor their training programs to address the specific concerns raised by female employees. Moving past the "AI is cheating" narrative and focusing on how these tools can reduce burnout and enhance creative problem-solving could be key to closing the divide. As the technology continues to evolve at a breakneck pace, ensuring that all segments of the workforce are equally equipped to harness its power will be essential for a balanced and productive economic future.
