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AI advances have played a major role in robotics research and have already enabled major advances in robotic perception. Continuing advances in AI algorithms and hardware will likely lead to significant breakthroughs in the development and commercialization of robots. The prevalence of robots will likely increase as no‑code platforms and generative AI further democratize advanced AI systems and the ability to manipulate them.

Hosting robots' processors on the cloud would likely accelerate uptake by reducing chip demand and minimizing complexity. Advances in such robotic systems could generate new markets and products, simultaneously challenging existing robotics-engineering paradigms.


Patterns are evaluated for their relevance to one or more of the following strategic planning areas: Infrastructure; Organization; Talent; Creation; and Marketing. This Pattern is most relevant to: Creation; and is also relevant to: Infrastructure.


Patterns are also evaluated to determine the recommended timing of any strategic actions being considered to address the developments. On a scale of Initiate (near-term actions), Monitor (medium-term actions), or Watch (long-term actions), the timing for this Pattern is: Watch.

Abstracts That Inspired This Pattern

  • SC-2023-04-05-085: Microsoft Uses ChatGPT to Control Robotic Arms and Quadcopter Drones

    Microsoft has used Open AI's ChatGPT (Chat Generative Pre‑trained Transformer) to turn human-delivered text commands into the source code containing instructions that robotic arms and quadcopter drones carry out. "Experts warn that putting AI in control of such devices is a risky path."

  • SC-2023-04-05-032: Domino Data Lab's DCA Removes Multiple Barriers to Writing Code

    No-code and low-code platforms promise to democratize data science and AI, but drag-and-drop interfaces lack flexibility and transparency. To assist in data science, Domino Data Lab released Domino Code Assist (DCA), which enables business analysts to generate code instead of "using a black‑box tool or proprietary drag-and-drop interface."

  • SC-2023-04-05-023: Is the End Near for Machine-Learning Modeling?

    Some experts have noted that large language models and other transformer networks are changing the nature of machine learning. Once a model such as OpenAI's GPT‑3 (Generative Pre‑trained Transformer 3) exists, data scientists are not retraining it for a particular application by reengineering and retraining with new data (formerly the common practice) but instead are engineering the prompts to elicit the desired outcome.