u/Independent-Fragrant

What today's Apple deal really means?

Intel Foundry — The Demand Pipeline

Date: May 8, 2026 Context: Apple preliminary deal announced today. The question: Apple's validation is worth more than the direct $1-2B in revenue — who else is in the pipeline, and how much could this all be worth?


The Mechanism: TSMC Is Turning Customers Away

From SemiEngineering (April 30, 2026):

> "These days, the first question I'll have is whether I can actually reserve enough > wafers at that node at TSMC. Impossible today, probably." > — Pratyush Kamal, Director of Central Engineering Solutions, Siemens EDA

> "Leading-edge node access is increasingly reserved for hyperscalers, squeezing > smaller chip developers." > — SemiEngineering, April 2026

TSMC's N3/N2 capacity is fully absorbed by AI demand. NVIDIA, Apple, and Broadcom buy everything TSMC can make. Everyone else — including large companies with existing TSMC relationships — gets squeezed. Intel Foundry at 18A is the only other viable leading-edge option. Samsung's SF2 yields are reportedly below 40%.

Apple's validation removes the final objection: "Intel doesn't know how to be a foundry." Once that objection is gone, the pipeline converts.


The Pipeline: Confirmed, Reported, and Logical

Tier 1: Confirmed or Near-Confirmed

Customer Product Node Est. Revenue ($B/yr) Status
Microsoft Azure AI accelerator (Maia) 18A $1-2B Confirmed
Amazon AWS Custom ASIC 18A $1-2B Reported
Apple Low-end M-series 18A-P $1-2B Preliminary deal (WSJ, May 8)
NVIDIA Entry-level gaming GPU 18A $1-2B TSMC overflow (Chosun)
Tesla/SpaceX/xAI Terafab AI chips 18A/14A Royalty Announced (Apr 7)
US DoD Secure chips Various TBD Confirmed
Subtotal $5-10B

Tier 2: Pipeline — Actively Evaluating (Medium Probability)

Customer Product Node Est. Revenue ($B/yr) Notes
NVIDIA Feynman AI accelerator 14A $3-5B 2028+; already shifting other production
AMD Various (likely GPU/chipset) 14A $2-3B Lisa Su: "open to Intel Foundry"
Qualcomm Mid-range Snapdragon 18A/14A $2-4B Most TSMC-dependent large chip designer
MediaTek Mobile SoCs, IoT 18A/14A $1-3B Ships 400M+ chips/year; fully TSMC-dependent
Google TPU packaging EMIB/Foveros $0.5-1B Already reported interest (WCCFTech)
Broadcom Networking/packaging EMIB $0.5-1B Considering packaging; logic stays at TSMC?
Subtotal $9-17B

Tier 3: The Queue — Demand Waiting for Capacity

These are companies that want leading-edge capacity but can't get it from TSMC. Apple's validation tells them Intel is a credible alternative.

Category Examples Why Intel?
Second-tier mobile SoC Unisoc, smaller Chinese designers Can't get TSMC N3 allocation
AI chip startups Tenstorrent, Graphcore, SambaNova Have designs, need fab
Automotive Mobileye, NXP, Renesas, TI Need US-based manufacturing for CHIPS Act
Mid-size fabless Marvell (some lines), Microchip Being squeezed by hyperscaler demand
FPGA Lattice, Achronix Alternative to TSMC/Samsung

These are individually smaller but collectively material — perhaps $3-8B in aggregate revenue.


What the CFO Is Saying

Intel CFO David Zinsner (March 2026, Morgan Stanley conference):

> "We're close to closing some deals that are in the billions of dollars per year > in terms of revenue."

He was specifically referring to deals that would be announced in 2026. The Apple deal is one. NVIDIA shifting production is another. The question is how many more.

UBS (April 2026) predicts multiple new foundry commitments will be announced in fall 2026, following the 14A PDK 1.0 release.


The Revenue Math — Bottom-Up vs. Model Assumptions

Our current model projects external foundry revenue of:

Year External Foundry Revenue Notes
2027 $3.6B Early ramp
2028 $15.4B 18A at scale
2030 $49.3B 18A + 14A at full capacity

If Apple validates the pipeline and accelerates conversion:

Year Current Model With Pipeline Acceleration Delta
2027 $3.6B $5-8B +$1-4B
2028 $15.4B $20-25B +$5-10B
2030 $49.3B $55-65B +$6-16B

The capacity constraint in our model is WSPM (wafer starts per month). The model already assumes most leading-edge fabs are near full by 2030 (314K WSPM total). Additional pipeline demand would either:

  1. Fill idle capacity earlier (accelerate the ramp)
  2. Command higher wafer ASPs (scarcity pricing)
  3. Accelerate additional fab investment (Fab 27 Ohio, beyond current plans)

The Single Most Important Number

Not the pipeline size. Not the revenue. Not the Apple validation.

Intel 18A yield at the next earnings call (Q2 2026, expected July-August).

If Lip-Bu Tan reports yields improved from 60%+ to 65-70%+, the pipeline converts faster than consensus expects. Every customer in Tiers 2 and 3 is waiting for the same signal: "Intel's process is good enough to manufacture at commercial scale." Apple's PDK acceptance is the first signal. Yield is the second and more important one.

If yields stall at 60%, the deals stay "preliminary" and "in discussions." If yields hit 70%+, the pipeline converts to signed contracts.


Last updated: May 8, 2026 Sources: WSJ (May 8, 2026), SemiEngineering (Apr 2026), Chosun (Jan 2026), KeyBanc analyst John Vinh (Jan 2026), Ming-Chi Kuo (Dec 2025), Intel CFO David Zinsner (Mar 2026), UBS Research (Apr 2026), TNW (May 2026)

reddit.com
u/Independent-Fragrant — 14 days ago

How high can it go?

One way to think about where we are vs where we are going.

Here's a plot of ratio of token spend vs knowledge worker labor costs:

https://preview.redd.it/14rl9olaxxzg1.png?width=1172&format=png&auto=webp&s=2def8ea1b2d4abefb2ec72b608461c03d89bfc11

bottom plot is logarithmic, so that it is more easily visible. we are still two orders of magnitude from spending as much as we do on AI vs human labor. Of course, what is the eventual ratio? I think a lot higher than it is now, but obviously it will depend on AI actual utility.

You might say hey, that spend is slowing down! A large part is that tokens are getting cheaper. The data i got is from OpenRouter, so some of that may also just be OpenRouter getting more popular relative to OpenAI and Anthropic's API.

https://preview.redd.it/dbpzwn1oxxzg1.png?width=1322&format=png&auto=webp&s=64fcac8f577c80510e40881f9bc80557c6e0b175

All this to say, sure, there's hell of a build out rush right now causing price to go up. But we're so close to beginning relative to the end, that the eventual "middle" will be close to the "low" and close to the "high" because it will be a utility worth 10X more in the long term future.

DO NOT SELL

reddit.com
u/Independent-Fragrant — 14 days ago
▲ 0 r/MotionDesign+1 crossposts

i keep reading that AI is going to kill Adobe. But I've been thinking about how it might be more difficult to steer AI using language to create pictures or video. I'm not sure. I don't use these tools often other than generating or modifying some personal pictures. And personally i find the process quite tedious, especially if i'm trying to get a specific look that maybe i either don't know the language for or the model just does not want to do.

What I suspect is actually happening: the winning workflow is precision tools WITH AI baked in. Not AI instead of the tools. The AI accelerates (generative fill, auto masking, text to draft video) but you still need the control surface to get it exactly right. Like Cursor for coding, but for visual work.

Am I wrong about this?

I'm not a pro designer or video editor myself so I genuinely don't know. If you actually do this work for a living:

  • What tools do you use day to day?
  • Have you tried AI features inside Adobe (generative fill, AI masking, etc) and do they actually help or is it just marketing?
  • Have you experimented with Midjourney, Runway, Sora etc for actual work? Does it replace part of your workflow or just sit alongside?
  • What would actually, realistically make you leave Adobe? Not "in theory someday." What would have to happen?
  • If you already left, what was the real reason? Was it price, performance, the subscription model, alternatives getting good enough, something else?
reddit.com
u/Independent-Fragrant — 18 days ago