Podcast Summary: Everyday AI EP 430
Title: Google’s $1 Trillion AI Mistake – 5 Gemini Missteps and if Google Can Recover
Host: Jordan Wilson
Date: December 31, 2024
Episode Overview
Jordan Wilson delivers a passionate, unscripted deep dive into what he calls Google’s “trillion-dollar mistake” with the rollout of its Gemini AI platform. The episode breaks down the five biggest missteps Google made, the impact on their market position, and whether a recent turnaround suggests Google can recover and reclaim its rightful place among AI leaders.
Key Discussion Points & Insights
1. Framing the Conversation (01:17–06:00)
- Jordan Wilson asserts that Google's poor execution in generative AI cost it more than $1 trillion in potential market cap compared to competitors like Microsoft.
- Despite its historic leadership and early AI research breakthroughs (like inventing the Transformer), Google squandered its head start.
Notable Quote
"Google is the birthplace of the transformer technology... Yet three months ago they were scratching for relevancy in the AI space."
— Jordan Wilson (15:05)
2. Setting the Market Context (06:01–12:00)
- Recaps AI news—like Alibaba slashing LLM prices (up to 85%) and Nvidia’s $700M acquisition of Run AI.
- Notes that global competition, especially from China, is heating up and that Google’s rivals have surged ahead.
- Lays out that Microsoft's market cap has increased $200 billion more than Google/Alphabet since the “ChatGPT moment” of November 2022.
Notable Quote
"If you look at just Microsoft as an example, since the ChatGPT boom, Microsoft has added $200 billion more in market cap than Google..."
— Jordan Wilson (13:35)
- Sets up the “Hot Take Tuesday” framework, promising to “bring the heat” at listeners’ request.
3. The Five Gemini Missteps (19:14–41:10)
Misstep 1: Misleading Launch Video (19:14)
- December 2023 promo video was staged; claimed live multimodal abilities that weren't actually live.
- The viral video garnered millions of views but was later unlisted after Google admitted in a blog post that the demo was faked.
Memorable Moment / Quote
"Google straight up lied... This is one of those catastrophic events that, like, you'll remember where you were."
— Jordan Wilson (21:20)
Misstep 2: Confusing Access Within Google Workspace (24:55)
- Gemini Advanced users (paid) received inconsistent experiences depending on whether they used a personal or business (Workspace) account.
- In business accounts, users often had no way to select or even know what AI model they were using—damaging trust and transparency.
Memorable Moment / Quote
"Every single model except Google… when you log into their front end chatbot, you can select which model you're talking to. So you know… With Google, you have no clue."
— Jordan Wilson (27:42)
Misstep 3: Initial Lack of Real-Time Information (29:58)
- When first launched, Gemini’s AI models couldn't access real-time search data — unlike Bing-enabled ChatGPT, Microsoft Copilot, and other competitors.
- This was a baffling lapse for "the search king."
Notable Quote
"Google's AI product did not have access to real time information from Google… Who approved this?"
— Jordan Wilson (30:48)
Misstep 4: Limited Functionality Within Workspace Apps (33:53)
- Gemini integration in Google Docs, Sheets, and Gmail was initially "absolutely useless."
- Compared to Microsoft Copilot and ChatGPT, Gemini failed basic productivity tasks and frustrated business users.
Notable Quote
"It did absolutely nothing except frustrate and show a complete lack of go to market strategy from one of the biggest companies in existence. Again, facepalm."
— Jordan Wilson (34:32)
Misstep 5: Outdated Models on the Front End (36:48)
- For most of Gemini’s existence, users on the main Gemini site had access to old models, not Google’s best and most recent LLMs.
- "Enterprise" decision-makers often based their (multi-million dollar) AI tool choices on this outdated experience, costing Google untold sums.
Notable Quote
"AI is for everyone. And you have literally large Fortune 100, Fortune 500 enterprise organizations going to gemini.google.com...making multi million dollar long term decisions because you, Google, decided… to completely forgo trust, transparency and communication."
— Jordan Wilson (39:52)
Can Google Recover? (41:15–47:00)
December 2024: Turning Point
- Wilson acknowledges a stunning turnaround in the last month:
- The Gemini front end now allows users (at least with personal accounts) to select and experiment with the latest models.
- December 2024 saw rapid shipping of major new AI features, without overhyped marketing.
- New tools like Gemini 2.0 (experimental), 2.0 Flash, "Deep Research" (praised as outperforming Perplexity or ChatGPT search), and NotebookLM (called a "top 3 AI tool") are competitive or better than OpenAI’s offerings.
- Gemini integration with Workspace apps finally works for practical tasks.
Notable Quote
"Now the Gemini front end... you can go experiment, you can test out their real models. No flashy video... They just shipped a bunch of products that were better."
— Jordan Wilson (43:02)
Key Strategic Hires
- Adds that Google’s hiring of Logan Kilpatrick (formerly at OpenAI) to oversee Gemini developer relations could accelerate improvement.
The New Outlook
- Wilson now sees Google as a real competitor to OpenAI again:
- Gemini’s new features match or even surpass the competition, especially in research capability and multimodal AI.
- Google must avoid repeating past mistakes and keep delivering transparency and user trust.
- "Three months ago, I was wrong. OpenAI has real competition now.”
Notable Quotes & Memorable Moments
- “It was, I think, one of the most disastrous rollouts in the history of business. It was historically bad.” (15:58)
- “[The Gemini launch video]…was fabricated. It was a lie. Google got dragged through the media—rightfully so.” (19:54)
- “AI is democratized. You have everyday people making AI decisions... Google has literally been losing an unforeseen amount of money.” (39:12)
- “NotebookLM probably top 3 AI tool that exists. Everyone's sleeping on Notebook LM. It's amazing.” (44:43)
- “Don’t fumble it like you did in December 2023.” (46:00)
Important Timestamps
- 01:17–06:00 – Context, Google’s lost lead, Microsoft vs Google in market cap, importance of the issue
- 19:14–41:10 – The 5 Gemini Missteps (each explained in detail)
- 41:15–47:00 – Can Google Recover? Evidence from December 2024, future prospects
- 44:43 – Praise for NotebookLM as a standout Google tool
Conclusion & Takeaways
- Jordan Wilson sees Google’s Gemini rollout as a historic business failure—but one that may be salvageable.
- Recent product improvements and hires hint at a comeback that could reignite serious competition with OpenAI.
- Google’s future in AI hinges on transparent rollouts, improving enterprise trust, and continuous rapid improvement.
For more recaps and resources, visit youreverydayai.com.
