Around 40% of Employees Use AI At Work, Up From 20% in 2023
- 40% of employees in the US are now using AI at work, up from 20% two years ago, according to a recent study.
- The use of AI for educational tasks has surged, increasing from 9.3% to 12.4%, while scientific tasks have also seen an increase from 6.3% to 7.2%.
- Geographically, Singapore and Canada have the highest usage per capita of AI at work, while emerging economies like Indonesia and India use it less.
- Countries with lower adoption rates tend to focus more on coding tasks, whereas high-adoption regions show a diverse range of applications across education, science, and business.
- The study highlights that early AI adoption is uneven and that policymakers, business leaders, and the public must take action now to shape the future of this “AI-driven economic transformation”.
IBL News | New York
Showing an unprecedented adoption speed, in the U.S., 40% of employees report using AI at work, up from 20% two years ago, as the recently released Anthropic Economic Index stated. This advancement reflects the ease of use of AI, by just typing or speaking without specialized training.
The study found that the shares of education and science usage are on the rise. While the use of Anthropic’s Claude.ai chatbot for coding continues to dominate at 36%, educational tasks have surged from 9.3% to 12.4%, and scientific tasks have increased from 6.3% to 7.2%.
Geographically, Singapore and Canada are among the countries with the highest usage per capita, while emerging economies, including Indonesia and India, use Claude less.
Lower-adoption countries tend to see more coding usage, while high-adoption regions show diverse applications across education, science, and business. For example, coding tasks are over half of all usage in India versus roughly a third of all usage globally.
“Rapidly advancing AI capabilities only reinforce the conclusion that immense change is on the horizon. And yet early AI adoption is strikingly uneven,” explains the Anthropic report.
“We are still in the early stages of this AI-driven economic transformation. The actions that policymakers, business leaders, and the public take now will shape the years to come.”