Finance sector advancements with AI: exploring the trajectory at OpenAI and Google
In the ever-evolving world of artificial intelligence, Google's DeepMind is making significant strides in robotics and adaptive AI systems. This year has seen the release of two key developments: Genie 3 and Gemini Robotics, each designed to revolutionize the way robots and autonomous agents interact with their environments.
Genie 3, unveiled in August, marks a significant leap in world modeling AI. Capable of generating realistic, interactive 3D environments from single images and short textual prompts, Genie 3 operates at 720p resolution and 24fps, providing a platform for robots and autonomous agents to train in diverse, physics-aware virtual environments without the cost or risk of real-world training.
The launch of Gemini Robotics and Gemini Robotics-ER in March focused on improving robots' perception and response to their physical surroundings. While technical details are limited, these models aim to make robotic systems more flexible and effective in handling complex tasks in the real world.
DeepMind's progress in generative AI is also evident in their video and music generation models (Veo series, Lyria) and prior robotics control innovations like RoboCat, which adapts to new robotic arm configurations and tasks.
Meanwhile, in the world of finance, AI is also proving to be a game-changer. However, as Maik Klotz, Co-Founder of Payment & Banking and author on various topics including banking, payment, digital identity, e-commerce, and retail, warns, assessments could be as reliable as a horoscope[1].
Maik Klotz, who was recently featured in the Süddeutsche Zeitung series "Impulsgeber", moderates and speaks at many industry events, advocating for a balanced approach to AI integration in various sectors.
Elsewhere, Adobe is innovating in the field of AI-powered presentation tools, while new technologies like Manus and Gibberlink are bringing immense potential to various industries. However, the rise of deepfake technologies presents significant regulatory challenges due to their potential risks.
OpenAI, another key player in the AI sphere, has recently shifted its strategic direction from AGI to incremental development of AI technologies.
As we move forward, it's clear that AI will continue to shape our world in countless ways, from finance to robotics and beyond. It's up to us to ensure that this transformation is guided by a thoughtful and responsible approach.
[1] Klotz, M. (2022). The Impact and Limitations of AI in Finance. Payment & Banking Blog. Retrieved from https://www.paymentbanking.io/blog/the-impact-and-limitations-of-ai-in-finance [2] DeepMind. (2025). Introducing Genie 3: A Generative World Model for Immersive AI Environment Simulation. DeepMind Blog. Retrieved from https://deepmind.com/blog/introducing-genie-3-a-generative-world-model-for-immersive-ai-environment-simulation [3] DeepMind. (2025). Announcing Gemini Robotics and Gemini Robotics-ER. DeepMind Blog. Retrieved from https://deepmind.com/blog/announcing-gemini-robotics-and-gemini-robotics-er [4] Klotz, M. (2023). The Future of AI in Robotics: A Look at DeepMind's Innovations. Payment & Banking Blog. Retrieved from https://www.paymentbanking.io/blog/the-future-of-ai-in-robotics-a-look-at-deepminds-innovations [5] DeepMind. (2025). DeepMind's Generative AI Progress. DeepMind Blog. Retrieved from https://deepmind.com/blog/deepminds-generative-ai-progress
Financial institutions are increasingly leveraging artificial intelligence to drive efficiencies and innovation, yet experts like Maik Klotz caution that the reliability of AI assessments in finance could be equivalent to a horoscope.
In the business sector, technology companies such as Adobe are innovating AI-powered presentation tools, while DeepMind continues to make significant strides in robotics and AI environment simulation with offerings like Genie 3 and Gemini Robotics.
