Seventh annual survey of data science professionals shows 87% are using AI as much or more than last year, but 43% feel unprepared for its challenges
Anaconda Inc., a leading provider for data science, machine learning, and AI, today released the 7th Annual Data Science Report: AI and Open Source at Work. Based on a survey of more than 3,000 data science professionals, IT workers, students, researchers, and professors, the report offers insight into trends and use cases across the data science, AI, and open-source communities.
Anaconda’s analysis shows that AI and open-source tools have grown dramatically across industries. While fewer respondents are worried about losing their jobs to AI, other challenges have surfaced, including security concerns and a lack of readiness for AI’s growth. These shortfalls demand collaborative problem-solving, both within organizations and across the data science industry, via platforms that prioritize security, scalability, and ease of use.
Key themes from the survey include:
- The AI readiness gap: While 87% of data science practitioners are using AI as much or more than they were last year, 43% feel unprepared for challenges like new AI tools and regulations, highlighting the need for secure, compliant AI deployment
- Collaboration is key: 66% of IT administrators report their companies are leveraging open-source tools, while half of data science practitioners say they actively incorporate open source into their workflows. Practitioners are using open-source software to build new tools (58%) and models for internal use (56%).
- AI as a tool, not a threat: Just 22% of respondents fear AI will take their jobs – a steep decline from last year. Instead, respondents are using AI to support their daily tasks while they focus on more complex projects: 67% use AI for data cleaning, visualization, and analysis; 52% for automating tasks; and 49% for prediction or detection models.
- The local advantage: 59% of AI and data science work is done on local laptops or desktops, highlighting a shift from cloud reliance that enables companies to better safeguard sensitive information.
- A need for open-source security: While respondents value open-source tools as an economical option that drives quick innovation, open-source security was cited as the biggest technical challenge for AI adoption and usage (42%).
Together, these findings illustrate the critical need for responsible AI deployment and innovation. With Anaconda’s trusted open-source ecosystem, organizations can scale AI initiatives securely, collaborate with users across industries, and boost employee productivity while ensuring compliance and increasing ROI.
“AI innovation doesn’t happen in isolation. The collaboration of passionate communities fuels it,” said Peter Wang, Chief AI and Innovation Officer at Anaconda. “To make that collaboration work, data scientists and developers need tools that offer secure scalability and reliable governance controls.”
Wang stressed the importance of open collaboration in driving innovation. “Beyond these tools, data scientists and developers also need open channels for sharing insights, raising concerns, and collectively solving problems,” Wang continued. “When organizations support these collaborative ecosystems, internally and across the broader open-source community, they create fertile ground where innovation thrives and challenges like security can be tackled head-on.”
Download the 7th Annual State of Data Science Report: AI and Open Source at Work here.
About Anaconda
With more than 45 million users, Anaconda is the most popular operating system for AI providing access to the foundational open-source Python packages used in modern AI, data science and machine learning through a seamless platform. We pioneered the use of Python for data science, championed its vibrant community, and continue to steward open-source projects that make tomorrow’s innovations possible. Our enterprise-grade solutions enable corporate, research, and academic institutions around the world to harness the power of open-source for competitive advantage, groundbreaking research, and a better world. To learn more visit https://www.anaconda.com.