Meta Platforms reported a Q1 2026 headcount of 77,986 full-time employees as of March 31 in its April 29 earnings release, reflecting a 1% year-over-year increase but a 1% sequential decline amid ongoing optimization efforts to prioritize AI infrastructure. This figure exceeded analyst consensus around 75,000-77,000, driven by targeted hiring in high-priority areas offsetting reductions elsewhere, even as the company announced plans for 8,000 layoffs—roughly 10% of its workforce—starting May 20 to support a 2026 capital expenditure ramp to $125-145 billion. Strong 33% revenue growth to $56.3 billion from advertising underscores efficiency gains, with trader sentiment on prediction markets pricing in sustained cost discipline against rising AI expenses ahead of Q2 results in July.
Experimental AI-generated summary referencing Polymarket data. This is not trading advice and plays no role in how this market resolves. · Updated$82,684 Vol.
75000
88%
76000
99%
77000
98%
78000
<1%
79000
10%
$82,684 Vol.
75000
88%
76000
99%
77000
98%
78000
<1%
79000
10%
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.
Market Opened: 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...Meta Platforms reported a Q1 2026 headcount of 77,986 full-time employees as of March 31 in its April 29 earnings release, reflecting a 1% year-over-year increase but a 1% sequential decline amid ongoing optimization efforts to prioritize AI infrastructure. This figure exceeded analyst consensus around 75,000-77,000, driven by targeted hiring in high-priority areas offsetting reductions elsewhere, even as the company announced plans for 8,000 layoffs—roughly 10% of its workforce—starting May 20 to support a 2026 capital expenditure ramp to $125-145 billion. Strong 33% revenue growth to $56.3 billion from advertising underscores efficiency gains, with trader sentiment on prediction markets pricing in sustained cost discipline against rising AI expenses ahead of Q2 results in July.
Experimental AI-generated summary referencing Polymarket data. This is not trading advice and plays no role in how this market resolves. · Updated



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