AI Predicted to Conduct Deep Scientific Research and Creative Tasks by 2035

AI Set to Lead Deep Scientific Research Within a Decade

Artificial intelligence (AI) is projected to advance significantly in the next 10 years, taking on roles traditionally filled by human researchers. According to a recent report, AI will not only generate hypotheses but also design and analyze experiments, conduct simulations, and provide expert advice across scientific domains.

This shift means that deep scientific research could become largely automated, with AI handling complex data interpretation and experimental design. Such capabilities promise to accelerate discovery processes and improve the efficiency of research and development efforts.

What AI Will Achieve by 2035

By 2035, AI is expected to:

• Discover new materials and engineer biotechnology innovations.
• Prototype energy systems with minimal human intervention.
• Manage research and development pipelines, as well as corporate finance and logistics.
• Perform complex physical tasks such as tool handling, assembling components, and adapting to real-world environments.
• Offer expert-level decision support in areas like legal, medical, and business contexts.

Near-Term Developments by 2030

In the shorter term, AI and AI-enabled tools are expected to:

• Create full-length films and video games.
• Generate scripts, develop characters, and co-write novels.
• Produce music and design architectural projects.
• Operate humanoid robots capable of performing physical tasks.

Additionally, emotion-aware real-time multilingual agents that communicate naturally will become widely accessible within the next five years. These agents will offer seamless interaction in various languages, enhancing communication in diverse professional settings.

Implications for Science and Research Professionals

The upcoming advances in AI will reshape how research is conducted. Professionals in scientific fields can expect AI to handle routine experimentation and data analysis, freeing them to focus more on strategic decision-making and creative problem-solving.

To stay ahead, researchers should consider integrating AI tools into their workflows and developing skills that complement AI capabilities. For those interested in expanding AI knowledge and skills relevant to research, resources such as Complete AI Training's courses for professionals offer practical learning paths.

As AI continues to evolve, its role in scientific discovery and operational tasks will grow, marking a significant shift in how research and development are performed across industries.