AI could automate 40% of the average work day

Artificial intelligence (AI) plays a key role in helping leaders and their teams make strategic, immediate, data-driven decisions. Generative AI will revolutionize the way we work. AI he is the electricity of the 21st century. Ignore it and your business will be in the dark. After all, we already know the many ways generative AI is shaping the way we work.

The study suggests that AI could automate 40% of the average workday, according to research firm Valloire. The proliferation of generative artificial intelligence such as ChatGPT has increased public awareness of its potential to improve productivity and efficiency, as well as its risks.

again: How to use ChatGPT: everything you need to know

The study states: “AI, robotic process automation (RPA), and similar tools and technologies have been around for some time. Generative AI in a variety of enterprise applications, from human resources to customer service to development platforms, is capturing the attention of companies and their employees.”

Other research shows that the adoption of generative AI in marketing reveals promising productivity gains, with marketers saving more than a month’s worth of costs annually with generative AI, freeing them up for more meaningful work. I estimate that there will be room.

To better understand the potential impact of AI and automation on productivity, efficiency, and work, Valoir conducted a global survey of over 1,000 workers across a wide range of industries to We validated the data with in-depth interviews with people employed. In Finance, Human Resources, IT, Marketing, Operations, Sales and Service roles. Key findings from Valoir include:

• Automation is already in place at many companies, and employees report increasing automation. An average of 20% of previously manual tasks have been automated in the last two years. The level of automation varies by region, function, and industry, but almost all employees have experienced some form of automation in the last two years. Low-code and no-code platforms often allow business users to automate their own processes. Traditional rule-based AI approaches are also driving automation. Automation is already in place at many organizations, with employees automating an average of 20% of their work over the past two years.
• Generative AI has reached a tipping point. Over 50% of employees have experimented with generative AIat home or at work.
• Workers have the potential to achieve significant automation through generative AI and other technologies. 40% of tasks in the average work day are ripe for automation.
• Most employees believe this automation will replace their jobs, and the average employee believes so. 48% of colleagues could be replaced by automation in the next two years.

Potential of AI to automate or replace operations

To understand the automation potential for each job role, Valoir asked employees to do 13 tasks, such as reading and responding to emails, managing calendars and schedules, speaking on the phone, attending meetings, and going to work. We asked them what percentage of their day they spent on different work tasks. Data and coding, research and writing, creative thinking and brainstorming.

again: AI could potentially automate 25% of all jobs.The most (and most) at risk are:

As you can see below, the top 13 work tasks and the time spent were:

Valoir found that the biggest opportunity for automation is in IT, with a 48% chance of automation, followed by finance, operations, customer service, human resources, and marketing. If an employee in these roles could take full advantage of the automation potential of his AI, on average he could automate 40% of his work day, effectively working a 3-day work week. can be

According to Valoir’s research, the realization of AI’s automation potential depends on many factors, including:

• Company policy and culture: An organization’s official policy regarding the use of AI is important, but so is its culture. Companies must balance the potential for increased employee productivity against the risk of potential misuse and unforeseen adverse consequences. Cultures that uphold a high degree of autonomy and personal responsibility are likely to benefit more from automation.
• Technology and data readiness: To harness the full potential of AI, enterprises must take safeguards to ensure connected and trusted data sources and the security, privacy, and ethical use of data when AI is involved. is needed.
• human factor: Employee technology aptitude, willingness to experiment, and job confidence influence their ability to use AI effectively.

The percentage of employees by job category who have experimented with AI shows that IT is leading the way (90%). IT employees led the way, followed by Human Resources (HR), Finance, and Marketing employees. Over half of all employees have experimented with generative AI.

Valoir also shared the adoption of work automation by the industry, pointing out that using automation in business to increase productivity is nothing new.

again: I used ChatGPT to write the same routines in top 12 programming languages

Advances in low-code and no-code tools and the introduction of robotic process automation over the past few years have already enabled many employees to automate a significant portion of their work.

Valoir research shows that the average employee has automated 20% of previously manual tasks over the last two years, the highest level in aerospace, manufacturing, life sciences and healthcare. Automation is introduced. So how much of the workforce of the future will likely be impacted by automation or replaced by AI?

again: 6 things ChatGPT can’t do (and 20 things ChatGPT refuses to do)

When it comes to industries, employees in financial services, tech, and education see the greatest opportunities to recruit colleagues, while those in consumer goods, aerospace, and media see the least. The survey found that expectations for this question varied based on geography and company size.

From a job perspective, employees see AI as the biggest opportunity to replace their colleagues in HR, IT, and finance. In these areas, large portions of routine tasks are ripe for intelligent automation in areas such as data entry and analysis. Coding and revision of reports and documents. Interestingly, employees consider customer service to be the least likely job replacement opportunity.

Concerns about AI have been highlighted in the survey. Valoir finds that her one in four of his workers is very worried that her job will be replaced by AI next year. Those most concerned about being replaced are workers in the age group 26 to she is 41, and workers in finance and IT.

again: This New Technology Could Blow GPT-4 And All Like It

The study concluded with the following recommendations:

1. Leaders must navigate difficult conversations about technology and employment substitution, culture and employee-employer relationships, and the value of autonomy (rather than substitutability) within organizations.
2. IT must ensure that the expertise, data hygiene, governance, and guiderails are in place to ensure that people and processes get the most value from AI and automation. IT departments must also rethink development and staffing strategies and redesign operations within their departments.
3. HR works with legal and executives on new strategies and policies for ethical use of data, new training plans for job rotation and upskilling, and judicious use of AI at departmental and individual levels You need to define a modern employee experience for
4. Employees need to reassess their current roles and skills and take advantage of opportunities to leverage AI as digital assistants or risk being replaced.

To become a customer-centric company, you need to enhance employee and customer experiences with AI. IT leaders agree. 84% believe generative AI can help them better serve their customers, which is why organizations are accelerating their adoption of AI. Generative AI has emerged as a key tool to improve employee productivity and efficiency, enhance customer interactions, and enable all parts of an organization to do their jobs better and faster.

again: How I cheated and lied to ChatGPT

Consider how developers are using generative AI today to help them write code. While AI can provide valuable support in the decision-making process, it is important to note that human expertise and judgment are still important in considering ethical, legal, and situational factors.

To take full advantage of the power of AI, you need:

1. Trusted customer data to build harmonious customer profiles.
2. Leverage insights into automated actions by feeding data to pre-built, custom, or public AI models (ideally a combination of these).
3. A single platform with built-in security and governance enables both innovation and increased customer trust.

Not likely to be replaced by AI and smart machines, but by people who are better trained, skilled, and accustomed to using AI and automation to get the job done faster and better I think it is highly possible.

At least in the near future (5-10 years from now), this is likely to happen. In a decentralized, digital-first, knowledge-sharing economy, AI is the power of business and people. Ignore the AI ​​and you’ll be in the dark. Businesses should deliberately invest in training their employees to be ready to adopt AI technology to improve their ability to do their job and satisfy their customers.