EPISODE · Mar 16, 2026 · 6 MIN
Meta Delays Its AI Model as Morgan Stanley Predicts a Massive Breakthrough
from AI Convo Cast · host AI Convo Cast
In this episode, we discuss Meta's delayed next-generation AI model codenamed Avocado, Morgan Stanley's bold prediction of a massive AI breakthrough in the first half of 2026, and UiPath's latest AI governance updates. Meta pushed back Avocado's release after internal benchmarks showed it trailing top models from OpenAI, Anthropic, and Google Gemini, raising questions about whether massive AI infrastructure spending guarantees competitive results. We also break down Morgan Stanley's research note on accelerating AI capability gains and plummeting inference costs, plus UiPath's expanded data residency controls and updated connectors for Azure OpenAI and Anthropic Claude integrations aimed at enterprise AI governance and compliance.https://www.aiconvocast.comHelp support the podcast by using our affiliate links:Eleven Labs: https://try.elevenlabs.io/ibl30sgkibkvDisclaimer:This podcast is an independent production and is not affiliated with, endorsed by, or sponsored by Meta, Morgan Stanley, UiPath, OpenAI, Anthropic, Google, Microsoft, or any other entities mentioned unless explicitly stated. The content provided is for educational and entertainment purposes only and does not constitute professional, financial, or legal advice. Affiliate links may provide compensation to the podcast at no additional cost to you.
What this episode covers
In this episode, we discuss Meta's delayed next-generation AI model codenamed Avocado, Morgan Stanley's bold prediction of a massive AI breakthrough in the first half of 2026, and UiPath's latest AI governance updates. Meta pushed back Avocado's release after internal benchmarks showed it trailing top models from OpenAI, Anthropic, and Google Gemini, raising questions about whether massive AI infrastructure spending guarantees competitive results. We also break down Morgan Stanley's research note on accelerating AI capability gains and plummeting inference costs, plus UiPath's expanded data residency controls and updated connectors for Azure OpenAI and Anthropic Claude integrations aimed at enterprise AI governance and compliance.https://www.aiconvocast.comHelp support the podcast by using our affiliate links:Eleven Labs: https://try.elevenlabs.io/ibl30sgkibkvDisclaimer:This podcast is an independent production and is not affiliated with, endorsed by, or sponsored by Meta, Morgan Stanley, UiPath, OpenAI, Anthropic, Google, Microsoft, or any other entities mentioned unless explicitly stated. The content provided is for educational and entertainment purposes only and does not constitute professional, financial, or legal advice. Affiliate links may provide compensation to the podcast at no additional cost to you.
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Meta Delays Its AI Model as Morgan Stanley Predicts a Massive Breakthrough
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