TubeRank

Ticker archive

What was said about Alphabet (Waymo)

This is the TubeRank file on GOOGL. Price calls from finance YouTube are kept here with the original quote, then checked against the market once their window closes. Read it the way you would a research notebook.

GOOGLAlphabet (Waymo)

$351.16as of 10h ago

The record, in brief

6 calls from 4 channels are on file for GOOGL. None have resolved yet, so there is no hit rate to report. 1 is still pending. The record leans bearish: 1 bullish and 5 bearish.

On file
6

recorded calls

Hit rate

nothing resolved yet

Pending
1

awaiting a result

Channels
4

1 bullish · 5 bearish

No chart in this file yet

Plotting needs at least two calls that each have a price target and a video date. What we do have is listed below.

Calls, by channel

Grouped by who said it. The latest thesis is written out; open a channel for the calls we kept, newest first.

Michael Tyler3 callsBearish

The YouTuber highlights that Alphabet has nearly a trillion dollars of off-balance-sheet debt commitments tied to AI infrastructure, which could pressure its credit rating and operating income over the next several years. He expresses general caution toward hyperscalers, including Alphabet, until spending becomes more sustainable.

Most recent thesisAug 18, 2026Source video

The YouTuber highlights that Alphabet has nearly a trillion dollars of off-balance-sheet debt commitments tied to AI infrastructure, which could pressure its credit rating and operating income over the next several years. He expresses general caution toward hyperscalers, including Alphabet, until spending becomes more sustainable.

Earlier theses (2)
BearishAug 11, 2026Source

Tyler points out that Google has shifted from being a consistent net repurchaser of 3-5% of its share float annually to now diluting shareholders by about 2% this year, framing it as a bearish capital allocation reversal that Wall Street is reacting negatively to.

BearishJan 28, 2026Source

Google faces higher expectations heading into earnings as it's near all-time highs, making it more vulnerable to disappointment. The YouTuber suggests Google and Amazon are more likely to have neutral or bad earnings compared to other big tech names.

Solving The Money Problem1 callStrongly Bearish

The speaker is highly dismissive of Waymo's competitive position against Tesla's Cybercab, citing much higher hardware costs, a fragile non-generalized autonomy approach, and far more limited production/deployment scale. He believes Waymo will be overtaken and left far behind by Tesla in the robotaxi race.

Most recent thesisAug 23, 2026Source video

The speaker is highly dismissive of Waymo's competitive position against Tesla's Cybercab, citing much higher hardware costs, a fragile non-generalized autonomy approach, and far more limited production/deployment scale. He believes Waymo will be overtaken and left far behind by Tesla in the robotaxi race.

Tom Nash1 callStrongly Bullish

Tom Nash argues Google is a dominant 'landlord' of the AI industry via cloud infrastructure, and that its 22% drop from 52-week highs is a buying opportunity given accelerating cloud growth and margin expansion from in-house TPUs. He models an 80% upside to $560 per share by 2030 even using conservative growth assumptions.

Most recent thesisJul 27, 2026Source video

Tom Nash argues Google is a dominant 'landlord' of the AI industry via cloud infrastructure, and that its 22% drop from 52-week highs is a buying opportunity given accelerating cloud growth and margin expansion from in-house TPUs. He models an 80% upside to $560 per share by 2030 even using conservative growth assumptions.

Jo Bhakdi1 callStrongly Bearish

Waymo's lidar-dependent approach to autonomous driving is fundamentally flawed and unscalable. The company's organizational design is optimized for failure because lidar prevents true AI development and world understanding.

Most recent thesisJan 10, 2026Source video

Waymo's lidar-dependent approach to autonomous driving is fundamentally flawed and unscalable. The company's organizational design is optimized for failure because lidar prevents true AI development and world understanding.