Evolution of AI at Google & Citi

Citi's AI Mission & Strategy

• 🎯 Shobhit Varshney, Global Head of AI at Citi, focuses on “doing the right AI and doing AI right” by taking a disciplined approach to driving growth, efficiency, and exceptional experiences for clients and colleagues.
• 💡 Citi is embedding responsible AI principles and risk guardrails from ideation to scale, supported by a centralized Citi AI platform that powers generative AI across the firm.
• 🚀 The mission involves focusing on end-to-end process engineering rather than just incremental automation, transforming how work is done.

Google's AI Evolution & Partnership

• 🧠 Google has been an AI company for over 10 years, with key milestones including the transformer model (2017) powering search and the broad deployment of Gemini models across all Google products like Search and Google Docs.
• 🛠️ Google's unique full-stack approach involves building everything from silicon (e.g., TPUs) to models and product experiences, a bet made over a decade ago.
• ✅ Citi has a multi-year strategic agreement with Google, migrating workloads to Google Cloud and leveraging Google's AI journey to roll out tools like Citi Stylus to over 180,000 colleagues globally.

Transformative AI Capabilities

• ⚡ AI models are rapidly progressing, with Gemini 3 offering enhanced reasoning, coding, and multimodal understanding, making models significantly more robust and capable out of the box.
• 💡 Multimodal AI (e.g., Nano Banana Pro) enables understanding and generation across various data types (audio, text, video), facilitating process discovery and accurate, nuanced language support for global operations.
• 🚀 “Vibe coding” allows users to describe desired software outcomes in natural language, lowering the threshold for development, enabling disposable, one-time use apps, and unlocking 100,000 hours of developer productivity weekly at Citi.

Enterprise AI Deployment & Safeguards

• 📊 Citi balances flexibility, compliance, and security through a multi-provider, cloud-first strategy, accommodating geographic constraints and air-gapped environments.
• 🔒 A central Citi AI platform provides a controlled environment for integrating technology, cyber, legal, and risk governance, ensuring guardrails are applied consistently.
• ✅ Responsible AI deployment is built into the core model development process, not as a bolt-on, making models inherently safer and more reliable for enterprise use.

Future of AI & Human Augmentation

• 🔮 The future will see the rise of AI agents with expanding autonomy and the physical manifestation of AI (embodied AI) in the real world, as exemplified by Waymo's autonomous vehicles.
• 🤝 AI acts as an equal opportunity enabler, raising the floor for human capabilities and allowing individuals to amplify their intelligence and tackle more ambitious problems.
• 📈 Enterprise leaders should “go fast but safe” by creating robust safeguards and bet on the exponential curve of AI model improvement, as progress is expected to continue rapidly.