Artificial intelligence is becoming firmly embedded in everyday professional life, with new research suggesting that users are increasingly relying on AI not only as a support tool but as a central part of how they work, learn, and manage information.
A March 2026 survey conducted by Anthropic, based on responses from more than 80,000 users of its AI assistant Claude across 159 countries, finds that daily AI usage is now driven primarily by productivity needs rather than creative expression.
The study, described as one of the largest multilingual qualitative analyses of general AI use, employed an AI-powered “Anthropic Interviewer” to gather detailed, open-ended insights into how users engage with the system in real-world contexts.
According to the findings, 81% of respondents said AI has already helped them achieve their goals, citing gains in productivity, improved learning support, and more efficient workload management.
At the centre of this shift is a clear pattern: AI is increasingly being used less as a novelty and more as a workplace assistant. The largest share of usage is tied to professional productivity and performance enhancement (18.8%), while creative use cases account for just 5.6%.
In practical terms, users report relying on Claude for routine but essential tasks such as drafting documents, summarising information, processing data, and managing repetitive workflows. In technical fields, adoption is even stronger, with 55% of users saying they use AI daily for coding and debugging, and 42% using it to interpret or understand existing code.
Rather than replacing human effort, the data suggests AI is functioning more as a cognitive support system, helping users reduce workload pressure and accelerate decision-making. Many respondents describe it as an “external brain” that helps structure thinking and execution.
Behind the figures are familiar workplace realities: developers working under tight deadlines, professionals preparing reports, and students grappling with complex material. In each case, AI is positioned not as a substitute for thinking but as a tool that enhances speed, clarity, and output.
However, the report also highlights what it describes as a “light and shade” dynamic in adoption. While most users report clear benefits, those who rely on AI for emotional support are three times more likely to express concerns about becoming dependent on it.
Broader anxieties are also evident across the dataset. About 26.7% of respondents cited concerns around unreliability, including hallucinations and inaccurate outputs, while 22.3% pointed to potential job displacement. A further 21.9% raised worries about reduced autonomy and declining independent thinking skills.
Geographically, usage patterns vary significantly. Countries such as Israel, Singapore, and the United States lead in per-capita adoption, driven by strong startup ecosystems and deeper integration of AI tools into professional workflows. By contrast, emerging markets across Africa, South America, and Southeast Asia show higher levels of optimism, with users more likely to view AI as an opportunity for learning, productivity, and economic advancement.
The study also points to a broader behavioural shift in how users engage with AI systems. “Augmented use”-where humans collaborate with AI rather than fully outsourcing tasks-has risen to 52%, suggesting that most users still prefer to remain actively involved in decision-making.
Taken together, the findings indicate that AI is no longer a peripheral technology used for occasional experimentation. Instead, it is becoming a routine part of work and knowledge systems, shaping how people write, think, learn, and solve problems.
- Related Read: Anthropic’s Claude Rises to No.1 in the App Store
As systems like Claude become more deeply integrated into professional environments, the central question is shifting from whether AI will be used to how deeply it will become embedded in the everyday mechanics of human work and cognition.
Senior Reporter/Editor
Bio: Ugochukwu is a freelance journalist and Editor at AIbase.ng, with a strong professional focus on investigative reporting. He holds a degree in Mass Communication and brings extensive experience in news gathering, reporting, and editorial writing. With over a decade of active engagement across diverse news outlets, he contributes in-depth analytical, practical, and expository articles exploring artificial intelligence and its real-world impact. His seasoned newsroom experience and well-established information networks provide AIbase.ng with credible, timely, and high-quality coverage of emerging AI developments.