Disconnect in Employee AI Literacy at Work
Slingshot, the work management platform developed by Infragistics, has published Part 1 of its two-part 2024 Digital Work Trends Report. This annual report reveals a significant gap between what managers expect from AI in the workplace and how employees actually use AI in their day-to-day tasks. While employers have primarily adopted AI to assist with initial research (62%), manage workflows (58%), and analyze data (55%), nearly two-thirds of employees (63%) report using AI mainly to verify their work.
Transforming the Workplace with AI
Dean Guida, the Founder of Slingshot, points out that the workplace is undergoing a major transformation as more companies integrate AI tools to boost efficiency and productivity. He highlights a disconnect between employers' intentions for AI and how employees are using these tools. This gap largely stems from a lack of education and training regarding AI tools among the workforce.
Training and Perceptions of AI Effectiveness
The report, based on research conducted by Dynata for Slingshot, shows that only 23% of employees feel they have received adequate education and training on AI. In contrast, 72% of employers believe their staff is sufficiently trained, yet only 53% of employees agree with this assessment. This disparity is further reflected in gender differences regarding AI training, with 66% of males feeling adequately trained compared to just 44% of females.
Highlights from the 2024 Digital Work Trends Report
The report presents several key findings:
- Employers see AI as a productivity enhancer: More than half (60%) of employers believe that AI significantly boosts productivity, while only 44% of employees feel the same way. Notably, 10% of employees report that AI has no positive effect on their productivity.
- Time savings reported by employees: A substantial 79% of employees indicate that AI saves them between 1-2 hours each day, with 37% claiming they save 3-4 hours. With this additional time, 63% are managing their workloads more effectively, and 54% are re-prioritizing their tasks.
- Insufficient data readiness: Nearly half (45%) of employers recognize that their company’s data is not adequately prepared for effective AI implementation. Challenges arise from siloed data across departments, which makes AI less effective without centralized information. Furthermore, 32% of employees believe their company would be better positioned to support AI with more thorough training.
Realizing AI's Full Potential
Guida emphasizes that AI has the potential to transform workplace dynamics by enabling teams to automate routine tasks and concentrate on higher-level strategic projects. To fully leverage AI, both employers and employees need to focus on preparing their operations. This includes centralizing essential data, enhancing education around AI usage, and investing in reskilling and upskilling initiatives.
About Slingshot
Slingshot is a comprehensive work management platform designed to provide teams with a unified space for collaboration, data-driven decision-making, project management, content sharing, and goal setting. By connecting teams with the necessary resources to streamline workflows, Slingshot aims to boost productivity and reduce disruptions caused by constant app-switching. The AI-powered platform centralizes data within workflows, allowing teams to make informed decisions quickly and drive growth.
Frequently Asked Questions
What is the focus of Slingshot's 2024 Digital Work Trends Report?
The report examines the disconnect between managerial expectations regarding AI use and the actual patterns of usage by employees in the workplace.
What percentage of employees feel trained on AI?
Only 23% of employees feel fully educated and trained on AI, indicating a significant gap in training.
How do employers perceive AI’s impact on productivity?
While 60% of employers believe AI enhances productivity, only 44% of employees report feeling more productive because of AI.
What challenges do companies face in implementing AI?
A key challenge is that 45% of employers state their data is not ready for AI implementations, which complicates the effective use of AI tools.
How does Slingshot aim to improve team productivity?
Slingshot seeks to enhance productivity by centralizing data and fostering collaboration, enabling teams to focus on strategic tasks instead of routine activities.
