Google PaLM 2
At Google I/O, Google positioned PaLM 2 as its next-generation large language model with materially improved multilingual, reasoning, and coding abilities, trained across more than 100 languages and on scientific and mathematical text. It came in four sizes (Gecko, Otter, Bison, and Unicorn) and was pitched as the engine behind 25-plus Google products, most visibly an upgraded Bard. Google framed the launch as proof it could match the conversational-AI moment ChatGPT had created.
Google moved Bard onto PaLM 2 the same day, removed the waitlist, and opened Bard to over 180 countries in 40-plus languages, while exposing the PaLM 2 API to developers and using the model to power Workspace and other features.
PaLM 2 is best understood as the product of a corporate panic, not a confident frontier release. After ChatGPT's late-2022 debut, Google declared an internal 'code red' and rushed Bard out in February 2023 in a demo that contained a factual error and wiped roughly $100B off Alphabet's market value, so PaLM 2 was the more polished do-over. It genuinely improved Bard's usefulness, but it was a fast-follow that caught up to, rather than surpassed, OpenAI, and Google itself superseded it within seven months with Gemini. For executives, the lasting lesson is reactive timelines: the incumbent with the most AI research history was forced to ship on a competitor's schedule.
It is the clearest case study in how competitive pressure, not readiness, can dictate when even a dominant company ships AI, and why a hurried launch can cost more credibility than waiting would have.