A question mark before open source productivity tools find mass adoption is their ability to integrate ML/AI tools. The current hype notwithstanding, it is lik

A question mark before open source productivity tools find mass adoption is their ability to integrate ML/AI tools. The current hype notwithstanding, it is likely that the next generation productivity suite (from spreadsheets to document editors etc) will support important algorithmically augmented workflows and non-technical users will expect them to be available. Libreoffice and friends must have a forward looking narrative to remain relevant. Proprietary cloud based solutions are already rolling in this direction but will always face the extra hurdles that sensitive data are accessible by third parties and essential functionality for business continuity relies on external actors. But, so far at least, neither libreoffice (nor the linux desktop for that matter) seem to be particularly keen on moving to that next phase. Even while cutting edge open source machine learning and even competend LLM models are getting available in record time, the integration story is still non-existent. The pendulum of client/server balance and thin versus thick clients is always swinging. With mobile and cloud it seems to have reached an extremum. Who knows where it lands next, maybe the "AI PC" that some hardware vendors already pitch will become a thing.