Trader consensus on Polymarket assigns near-certainty (99%) to Meta Platforms' Q1 2026 headcount exceeding 75,000, reflecting the company's year-end 2025 figure of 78,865 and limited impact from late-March layoffs of roughly 700 employees across teams like Reality Labs. These modest cuts, amid AI-driven productivity gains, have not materially altered the workforce as of March 31, despite broader efficiency pressures from $115-135 billion in projected 2026 capital expenditures for AI infrastructure. Q1 earnings on April 29 will confirm the exact figure, with post-quarter rumors of 10-20% reductions (8,000-16,000 jobs) in May unlikely to affect resolution but signaling ongoing margin optimization.
Eksperimental na AI-generated summary na nire-reference ang Polymarket data. Hindi ito trading advice at wala itong papel sa kung paano nire-resolve ang market na ito. · Na-update$46,341 Vol.
75000
99%
76000
98%
77000
60%
78000
12%
79000
2%
$46,341 Vol.
75000
99%
76000
98%
77000
60%
78000
12%
79000
2%
The specified metric will be considered as reported in the company’s official earnings materials. Subsequent revisions will not be considered.
If the specified company’s official earnings materials for the specified quarter are released, and the specified metric is not included, this market will resolve to “No”.
If the specified company does not release quarterly earnings materials for the specified quarter by June 30, 2026, 11:59 PM ET, this market will resolve to “No”.
If the specified metric is reported as a range rather than a specific number, the midpoint of the range will be used for resolution of this market.
The resolution source for this market is Meta’s official company earnings materials. including press releases, investor presentations, regulatory filings, and webcast transcripts/recordings.
Note: if the specified company reports multiple variations of the specified metric for the relevant quarter, the first version of the metric found in the following hierarchy of earnings materials will be used.
1) Earnings Press Release
2) Earnings Investor Presentation
3) Regulatory Filings
4) Transcripts or recordings of Earnings webcast.
Binuksan ang Market: Apr 10, 2026, 4:47 PM ET
Resolver
0x65070BE91...The specified metric will be considered as reported in the company’s official earnings materials. Subsequent revisions will not be considered.
If the specified company’s official earnings materials for the specified quarter are released, and the specified metric is not included, this market will resolve to “No”.
If the specified company does not release quarterly earnings materials for the specified quarter by June 30, 2026, 11:59 PM ET, this market will resolve to “No”.
If the specified metric is reported as a range rather than a specific number, the midpoint of the range will be used for resolution of this market.
The resolution source for this market is Meta’s official company earnings materials. including press releases, investor presentations, regulatory filings, and webcast transcripts/recordings.
Note: if the specified company reports multiple variations of the specified metric for the relevant quarter, the first version of the metric found in the following hierarchy of earnings materials will be used.
1) Earnings Press Release
2) Earnings Investor Presentation
3) Regulatory Filings
4) Transcripts or recordings of Earnings webcast.
Resolver
0x65070BE91...Trader consensus on Polymarket assigns near-certainty (99%) to Meta Platforms' Q1 2026 headcount exceeding 75,000, reflecting the company's year-end 2025 figure of 78,865 and limited impact from late-March layoffs of roughly 700 employees across teams like Reality Labs. These modest cuts, amid AI-driven productivity gains, have not materially altered the workforce as of March 31, despite broader efficiency pressures from $115-135 billion in projected 2026 capital expenditures for AI infrastructure. Q1 earnings on April 29 will confirm the exact figure, with post-quarter rumors of 10-20% reductions (8,000-16,000 jobs) in May unlikely to affect resolution but signaling ongoing margin optimization.
Eksperimental na AI-generated summary na nire-reference ang Polymarket data. Hindi ito trading advice at wala itong papel sa kung paano nire-resolve ang market na ito. · Na-update
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