預測2026年AI贏家

Forecasting the 2026 AI Winner

Will Anthropic and Google keep ahead of OpenAI? Is this the year of xAI?

I spent years predicting outcomes at Google, and at FutureSearch we've been accurately forecasting frontier lab outcomes since mid-2024. Now we ask: which lab will lead at the end of 2026?

Here I do a simple forecast. I rank each AI company on model quality, data, compute, talent, and R&D automation, mostly based on the state of affairs today but extrapolating to the near future, and then pick the overall winner from those rankings.

What I'm forecasting here isn't business objectives, but quality of the AI systems produced by the company, broadly construed.

Model Quality

Lab

Why

Anthropic

Claude 4.5 Opus likely best overall

Google

Gemini 3.0 Pro, plus dominance in images & video

OpenAI

GPT-5.2-pro is strong on math, otherwise trailing

xAI

Grok 4 & 4.1 underwhelming

Meta

Llama 4 a bust, still waiting on "superintelligence"

Anthropic, Google, and OpenAI are effectively tied, with Google's edge on non-text modalities likely less important Anthropic's edge on coding (see below on R&D automation). OpenAI could pull ahead again, as they did with o3 after they fell behind to Anthropic, but unlikely they will pull dominatingly ahead (see below on Talent). xAI has a chance but they have a lot of ground to cover, and Meta is a dark horse.

Data

Lab

Why

Google

Search, YouTube, Gmail & Docs, utterly dominant in data

Meta

Facebook, Instagram, WhatsApp comparable to Google data

OpenAI

ChatGPT starting to produce highly relevant data

xAI

Full X firehose, but Twitter data is narrow

Anthropic

Likely not even ahead on code data

Google's data advantage is structural and likely permanent. Meta's social graph and video data are underrated. The telling thing here is that Anthropic is leading on model quality while having by far the least access to data, which we take as pretty strong evidence that data matters less than people think.

Compute

Lab

Why

Google

Custom TPUs, massive internal capacity, no cloud dependency

xAI

Colossus cluster (100K H100s), expansion to 1M+ GPUs

Meta

Huge GPU fleet, $40B+ capex planned for 2026

OpenAI

A bunch of partnerships inked, will they materialize?

Anthropic

At least they are diversifying across clouds

xAI's compute buildout is the story to watch. If Colossus delivers, they could eclipse Google in ability to train large models. (Is scaling dead though?) Meta is spending the money but unclear whether it'll cache out, since it didn't for Llama 4.

OpenAI and Anthropic are all using other people's compute, and the best they can hope for is to not fall further behind.

Talent

Lab

Why

Anthropic

Highest talent overall, strongest mission, lowest attrition

OpenAI

Would be leading if not for massive talent exodus

Google

DeepMind has many great researchers, but are they hungry?

Meta

Spending vast $$$, but is it working?

xAI

Musk's pull; small elite focused team; uses $$$, not mission

As we've written about before, OpenAI's talent hemorrhage is the most underappreciated risk. Anthropic is where the most brilliant and motivated people go. xAI might be able to attract more brilliant minds but probably the people there are only for the money, as with Meta.

Google doesn't have a culture of excellence and hard work, though they clearly have the raw talent if they could motivate people better.

R&D Automation

Lab

Why

Anthropic

This is their plan. Claude Code is in fact increasing productivity.

OpenAI

Using Codex but unclear how much it accelerates internal R&D. Claimed
R&D automated in 2028.

Google

Long history of best-in-class dev tooling, but currently behind (why?)

Meta

Are Meta employees even using Meta's models for coding?

xAI

No evidence of acceleration, but small focused team could pull it off

Anthropic is explicitly premised around a coding-based R&D takeoff, and has been clearly delivering on that with Claude Code. OpenAI could do this too but are they as focused on it as Anthropic, with all their other businesses? xAI could get on board quickly.

Google is weirdly behind here, with anecdotes suggesting that they aren't even using agentic coding much, let alone with Google's unique dev tool advantages like codesearch.

All Rankings for the 2026 AI Race

Lab

Model

Data

Compute

Talent

R&D

Avg

Anthropic

1

5

5

1

1

2.6

Google

2

1

1

3

3

2.0

OpenAI

3

3

4

2

2

2.8

xAI

4

4

2

5

5

4.0

Meta

5

2

3

4

4

3.6

1st

2nd

3rd

4th

5th

By average ranking, Google leads. But I weight Talent and R&D Automation more heavily, so my pick for #1 overall in AI, broadly construed, at the end of 2026 is Anthropic.

My view, and our view as co-authors of the AI 2027 timeline forecast, is it comes down to who builds the best AI R&D positive feedback loop. If agentic coding accelerates research velocity as much as Anthropic believes, this will be decisive. And I predict that data and compute problems won't slow Anthropic down that much, even though I think they're in last place on both fronts!

Google or OpenAI could pull it off too, so I give them perhaps a tied second place.

As of this writing, xAI just raised $20B, so this forecast could change quickly. Still, we like posting concrete forecasts, so we'll see at the end of 2026 how well this shapes up!

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