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... https://www.axios.com/2023/01/29/fidelity-cuts-twitter-valua...