Meta (META): FY26 Q1 earnings call, Apr 29, 2026

Wed, Apr 29Earnings callSpeaker-labelled transcriptMeta

On its Apr 29, 2026 earnings call (FY26 Q1), Meta said 8 of the 15 words Kalshi listed; Parrot’s count agreed with all 15 settlements. Quotes below are at most 25 words each.

Updated

Markets

15 words · 8 settled yes · our count agreed on 15 of 15

backtest The probabilities on settled rows are a walk-forward backtest: the model as of before each event, computed after Parrot went live; they were not published at the time.

Listed words: result, our count under the market rule, the count over every speaker, whether they agree, and the probability (a walk-forward backtest on settled rows)
WordResultOur countAll speakersAgreesProbabilityMarket
Muse Yes612✓16%transcripts from the transcript model–
Thread / Threads Yes33✓94%n=4+tx from settlement history blended with transcripts–
Cloud Yes33✓78%n=2+tx from settlement history blended with transcripts–
Ray-Ban Yes34✓72%n=3+tx from settlement history blended with transcripts–
VR / Virtual Reality Yes22✓53%n=3+tx from settlement history blended with transcripts–
Hiring Yes11✓80%n=2+tx from settlement history blended with transcripts–
Algorithm Yes12✓51%n=2+tx from settlement history blended with transcripts–
Oakley Yes12✓44%n=2+tx from settlement history blended with transcripts–
Reels 3+ timesNo22✓66%transcripts from the transcript model–
Llama No00✓77%n=3+tx from settlement history blended with transcripts–
Dividend No00✓67%n=2+tx from settlement history blended with transcripts–
Orion No00✓39%n=3+tx from settlement history blended with transcripts–
Hyperion No00✓19%n=2+tx from settlement history blended with transcripts–
TikTok No00✓15%n=3+tx from settlement history blended with transcripts–
SAM No00✓12%n=1+tx from settlement history blended with transcripts–

Market prices are mid quotes from Kalshi and Polymarket, shown for context, may be delayed by several minutes and are not a signal. Quotes as of Oct 20, 2026 15:46 UTC.

Transcript

quotes of at most 25 words

Speaker-labelled transcript · Source and credits · Used to count words; quotes of at most 25 words.

12 matches for “Muse”; 5 quoted, at least 25 words apart.

Mark Zuckerbergcompanyprepared

…biggest milestone so far this year has been the release of our Muse family of models and our first model, Muse Spark, along with a…

Susan Licompanyprepared

…AI since we began powering responses with the first model from MSL, Muse Spark. In tests we ran leading up to the launch, we saw…

Susan Licompanyprepared

…new model with double-digit percent increases in Meta AI sessions per user. Muse Spark is now powering Meta AI in direct chat threads across our…

Brian Nowakanalystqa

…watching to ensure you're gonna generate ROIC on all these investments behind Muse and the other products. If you could just sort of let us…

Mark Zuckerbergcompanyqa

…on track to be a leading lab in the world. I think Muse Spark was a very high-quality model. It powers Meta AI, which I…

Where the listed words were said

Mark Zuckerbergcompany“Muse” · qa

…of this call is good in some ways because, you know, the Muse Spark release, I think was positive. The Meta AI first release, I…

Susan Licompany“Thread / Threads” · prepared

…expanded availability of ads on our newer surfaces, including bringing ads on Threads to people in more markets. On WhatsApp, we're making good progress with…

Susan Licompany“Cloud” · prepared

…costs was due to higher depreciation, data center operating costs, and third-party cloud spend. The growth in employee compensation was driven by technical hires we've…

Mark Zuckerbergcompany“Ray-Ban” · prepared

…be one of the fastest-growing categories of consumer electronics ever. We released Ray-Ban Meta Optics this quarter, designed for all-day wear rather than primarily as…

Mark Zuckerbergcompany“VR / Virtual Reality” · prepared

…models we're training as well. We remain the biggest investors in the VR space across the industry, but we are focused on making our VR…

Susan Licompany“Algorithm” · qa

…we're continuing to make improvements to our sort of LLM-based tune your algorithm features that allow users to provide more granular natural language feedback on…

Agents: this page as TSV at /api/v1/appearances/meta:2026-04-29:earnings_call · words: /api/v1/brief?appearance=meta:2026-04-29:earnings_call · columnar JSON in #parrot-data · llms.txt · MCP