The discussion highlights IBM's aggressive timeline for achieving quantum advantage by late 2026. Krishna points to exponential progress in simulating large molecules as proof of concept and identifies materials science, EV batteries, and drug design as the first industries to benefit.
The conversation moves beyond AI hype to its practical application in re-engineering core business processes. Krishna provides a concrete example of using AI to slash post-acquisition G&A costs, demonstrating a tangible ROI by creating immediate profit synergies that can be reinvested for growth.
The role of government funding in accelerating deep tech is a key point, with the US government's $1B investment in IBM's Quantum Foundry framed as a strategic move. This partnership aims to accelerate the development timeline and maintain a national competitive edge against rivals like China.
Krishna addresses fears of AI-driven job losses by arguing for a change in workforce composition rather than size. He states IBM is tripling entry-level hiring for R&D and sales roles to leverage AI's productivity gains, while roles in the back office decrease.
IBM's $5 billion 'Project Lightwell' initiative is presented as a crucial investment in securing the software ecosystem. The project's focus is not just on identifying vulnerabilities in open-source code but on using AI to automatically create and contribute fixes.
Keep pulling the thread on Arvind Krishna.