If you are interested in the genuine impacts and not a hyperbolic, emotionally charged discussion best left to pundits, then below are some areas I would sugges

If you are interested in the genuine impacts and not a hyperbolic, emotionally charged discussion best left to pundits, then below are some areas I would suggest researching and conducting your own thought experiments. A good exercise is to pretend if you were a CTO presenting to the CEO the tradeoffs and risks in cost cutting. - impact on reliability (sum across users for key metrics, not anecdotal evidence) - systemic risk changes, measured using probability of a rare event - feature velocity, volume of features, 'width' of features (how_many_bets x feature_surface_areas) - the durability of systems engineered for reliability or "did we build systems that will survive if everyone leaves" - revenue - advertiser satisfaction with the technical platform - impacts to internally maintained systems - impact of loss of institutional knowledge - impact of further attrition post-RIF - compliance - rate of progress vs competitors as an advertising platform - rate of progress vs competitors in social media - (related to above two) ability to maintain competitives advantages with reduced headcount - probability of success for new revenue streams There has also been recent reporting on Twitter: https://nypost.com/2023/01/18/twitters-daily-revenue-plunged-40-as-more-than-500-advertisers-fled-report/ https://nypost.com/2023/01/18/twitters-daily-revenue-plunged... https://www.axios.com/2023/01/29/fidelity-cuts-twitter-valuation-elon-musk https://www.axios.com/2023/01/29/fidelity-cuts-twitter-valua...