The Daily: What GenAI at Work Taught Us This Year, and What We Can Expect From It In 2025 | Dec 9, 2024
Dec 9, 2024
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In this engaging discussion, Dan Van Dyke, Vice President of Generative AI at eMarketer, and Henry Powderly, Senior VP of Media, Content, and Strategy, dive into the current state of AI in the workplace. They examine why AI adoption may be slowing and highlight the challenges workers face, especially regarding gender disparities. The duo discusses how generative AI can enhance productivity and how businesses can measure its impact effectively. They also speculate on the future of AI at work by 2025, focusing on potential advancements and cultural shifts.
The slow adoption of AI among U.S. workers highlights a critical need for organizational support and training to enhance comfort and efficiency in using these technologies.
Future advancements in generative AI, particularly in memory and data access, promise to significantly reshape workplace productivity and employee satisfaction by improving user experiences.
Deep dives
The State of AI Adoption Among Workers
AI adoption in the U.S. has shown signs of slowing down, increasing only marginally from 32% to 33% between March and August of the year. This plateau follows a more significant six-point rise in the early months of the year. The slowdown may be attributed to various factors, including seasonal usage patterns and potential demographic gaps, with men reportedly adopting AI tools more than women. There is also a pressing need for training and support from leadership, as many employees feel unprepared to integrate these tools into their workflows.
Challenges in Utilizing Generative AI
Using generative AI tools effectively requires substantial effort, yet many workers have not spent significant time familiarizing themselves with these technologies. Research indicates that a large portion of workers have used AI for less than five hours total, or have had no training at all. Consequently, some employees may feel uncomfortable openly acknowledging their use of AI, particularly for tasks viewed as more critical to their jobs, such as writing emails. This disconnect highlights the importance of organizational support in training employees to maximize AI's benefits while overcoming biases against using such technologies.
Future Innovations and Transformations in AI
Looking forward, breakthroughs in AI are anticipated in areas such as long-term memory and access to corporate data. Enhanced memory capabilities could facilitate a better understanding of individual preferences, thereby improving outputs and user satisfaction. Simultaneously, improved access to relevant data on intranets would allow AI tools to generate more contextually accurate content, revolutionizing the quality of work produced. Overall, the evolving role of generative AI will likely shift workplace dynamics, with organizations expected to adapt to these innovations to enhance productivity and employee satisfaction.
On today’s podcast episode, we discuss why US workers’ adoption of AI might be slowing, how generative AI has helped companies and workers the most, how businesses can best quantify AI productivity gains, and how we expect the technology to help workers do their jobs better in 2025. Tune in to the discussion with Senior Director of Podcasts and host Marcus Johnson, Senior Vice President of Media, Content, and Strategy Henry Powderly and Vice President of Generative AI Dan Van Dyke.
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