![]() ![]() It's important to note that while AI can provide valuable support in decision-making processes, human expertise and judgment are still crucial for considering ethical, legal, and contextual factors. Generative AI has emerged as a significant tool to enhance employee productivity and efficiency, enhance customer interactions, and help all parts of the organization to perform jobs better and faster.Īlso: How I tricked ChatGPT into telling me liesĬonsider how developers are now using generative AI to help write code. IT leaders agree: 84% believe that generative AI will help them better serve customers, and organizations are thus accelerating their AI adoption. To become a customer-focused company, your employee and customer experiences must be powered by AI. Employees will need to re-evaluate their current roles and skills, and take advantage of opportunities to leverage AI as a digital assistant, or risk being replaced.HR will need to work with legal and executive leadership to define new strategies and policies for the ethical use of data, new training plans for job replacement and upskilling, and updated employee experiences that ensure thoughtful use of AI at the departmental and individual level. ![]() IT will also need to rethink its development and staffing strategies to redesign work within its own department. IT will need to ensure that the expertise, data hygiene, governance, and guiderails are in place to enable employees and processes to get maximum value from AI and automation.Leaders will need to navigate the difficult conversations of technology and job replacement, culture and employee-employer relationships, and the value of autonomy (versus replaceability) within the organization.The research concluded with the following recommendations: Valoir found that one in four workers are very worried that their job will be replaced by AI in the next year those most concerned about being replaced are workers in the 26-to-41 age group, and those in finance and IT roles.Īlso: This new technology could blow away GPT-4 and everything like it Although employees in IT led the pack, they were followed by employees in human resources (HR), finance, and marketing, More than half of all workers have experimented with generative AI.Ĭoncerns about AI were highlighted in the research. The share of workers who have experimented with AI by job role shows that IT is leading the way (90%). Human factors: Employees' technology aptitude, willingness to experiment, and job confidence will impact their ability to use AI effectively.Technology and data readiness: To fully take advantage of AI's potential, companies will need connected and reliable sources of data, and safeguards in place to ensure the security, privacy, and ethical use of data when AI is involved.Cultures supporting a high degree of autonomy and personal responsibility are likely to benefit more from automation. Companies will need to balance the potential for increased productivity of employees with the risks of potential misuse or unintended adverse outcomes. Company policies and culture: Organizations' official policies on the use of AI will matter, but so will culture.Valoir research indicates that realizing AI's potential for automation will depend on a number of factors, including: The greatest opportunity for automation is in IT roles, with a potential for 48% automation. To understand the potential for automation by job role, Valoir asked workers what share of their day they spent on 13 different work tasks, such as reading and responding to e-mails, managing calendars and scheduling, talking on the phone and attending meetings, entering data and coding, research and writing, and creative thinking and brainstorming. Most employees believe this automation will lead to job replacement, with the average worker believing 48% of their co-workers could be replaced by automation in the next two years.ĪI's potential for job automation or replacement.Workers could see significant automation through generative AI and other technologies, with 40% of the tasks of the average work day ripe for automation.Generative AI has reached the tipping point, with more than 50% of workers having experimented with generative AI, either at home or in the workplace.Automation is already under way at many organizations, with workers automating an average of 20% of their work in the past two years. Rules-based and traditional AI approaches have driven automation as well. In many cases, low-code and no-code platforms have enabled business users to automate their own processes. Although the level of automation varied by geography, job role, and industry, nearly all workers have experienced some automation in the past two years. Automation is already under way at many companies, with workers reporting they have automated an average of 20% of previously manual tasks during the past two years. ![]()
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