Google's Gemini 3.5 Pro months late; Alphabet loses ~$200B in a day
Bloomberg (Julia Love, Davey Alba), citing 10 current/former employees, reported July 16 that Gemini 3.5 Pro — promised by Pichai at I/O in May for June — is months behind internal targets on coding performance; a late-June training-data up
On 2026-07-16, the verified AI news record added a significant company strategy & platforms development: Bloomberg (Julia Love, Davey Alba), citing 10 current/former employees, reported July 16 that Gemini 3.5 Pro — promised by Pichai at I/O in May for June — is months behind internal targets on coding performance; a late-June training-data update disappointed and parts of training were restarted. Alphabet closed −4.44% at $354.46, erasing ~$200B. Google: "We're currently testing 3.5 Pro… with partners," no new date.
Context
Bloomberg (Julia Love, Davey Alba), citing 10 current/former employees, reported July 16 that Gemini 3.5 Pro — promised by Pichai at I/O in May for June — is months behind internal targets on coding performance; a late-June training-data update disappointed and parts of training were restarted. Alphabet closed −4.44% at $354.46, erasing ~$200B. Google: "We're currently testing 3.5 Pro… with partners," no new date. Verifies wide04. Gemini 3.5 Flash + Spark agent shipped on time; only Pro slipped. Second Alphabet AI selloff in a month (June 22 talent exodus, >5% — do not merge figures). Lands two days before Alphabet Q2 earnings (July 22); contrasts with OpenAI/Meta/xAI shipping in-window. Strategy angle: Google leaning on Flash cost-efficiency line while flagship slips.
What changed
Bloomberg (Julia Love, Davey Alba), citing 10 current/former employees, reported July 16 that Gemini 3.5 Pro — promised by Pichai at I/O in May for June — is months behind internal targets on coding performance; a late-June training-data update disappointed and parts of training were restarted. Alphabet closed −4.44% at $354.46, erasing ~$200B. Google: "We're currently testing 3.5 Pro… with partners," no new date. According to Bloomberg (primary); CNBC, Reuters, Fortune (corroborating); digitalapplied synthesis; ts2.tech (B), the supporting record states: “According to Bloomberg, the model fell short of internal targets, notably in coding, citing information from 10 present and past employees. Chief Executive Sundar Pichai previously stated the model would launch in June.”.
Why it matters
Verifies wide04. Gemini 3.5 Flash + Spark agent shipped on time; only Pro slipped. Second Alphabet AI selloff in a month (June 22 talent exodus, >5% — do not merge figures). Lands two days before Alphabet Q2 earnings (July 22); contrasts with OpenAI/Meta/xAI shipping in-window. Strategy angle: Google leaning on Flash cost-efficiency line while flagship slips. The strategy angle matters because platform control, pricing, partnerships, and access rules can shift competition even when model capabilities are similar.
Details
The research file records the item under “Google's Gemini 3.5 Pro months late; Alphabet loses ~$200B in a day” with source timing of July 16, 2026. The captured research confidence note is: High. Status: confirmed news / product-model change (delay) / competitive setback.. Additional captured source links are listed below so readers can inspect the evidence trail rather than rely on a single summary. Verifies wide04. Gemini 3.5 Flash + Spark agent shipped on time; only Pro slipped. Second Alphabet AI selloff in a month (June 22 talent exodus, >5% — do not merge figures). Lands two days before Alphabet Q2 earnings (July 22); contrasts with OpenAI/Meta/xAI shipping in-window. Strategy angle: Google leaning on Flash cost-efficiency line while flagship slips.
Limitations and caveats
The research file did not identify a blocking caveat, but vendor-supplied claims should still be read as company statements unless independently confirmed.
Sources
Update note: Last reviewed 2026-07-22. Next checkpoint: monitor official channels and the linked source record.
Sources
Drafted with AI assistance from source briefs; reviewed for citation completeness and label accuracy.