The Fire Horse arrives once every 60 years, a zodiac moment symbolising speed, transformation, and rare momentum. The last time it appeared, the internet didn’t exist. This time, AI labs are racing neck and neck to outpace each other.

P.S. Feeling lucky? Race your own Fire Horse here and see if fortune favours the bold.

A race with no finish line

The AI arms race isn't slowing down. If anything, it just shifted into a higher gear.

Earlier this month, Anthropic and OpenAI released competing products at the same time, both racing to define how enterprises work with AI agents. But here's the thing: it doesn't really matter who's winning, because the race has no finish line.

OpenAI’s latest release? Built in part by its own AI — turning progress into a self-fuelling flywheel. Each model leapfrogs the last, arriving faster and hitting harder.

The Fire Horse comes once in a lifetime. So does a technological inflection point like this.

The ground is moving faster than you think

Matt Shumer’s viral essay, "Something Big Is Happening" has been viewed over 80 million times for a reason. He put hard data behind what insiders have been feeling. METR’s research shows the complexity of tasks AI can tackle without human help is doubling every seven months. And this pace is only going to accelerate.

A year ago, AI handled 10-minute tasks. Today? They complete work that takes a human expert nearly 5 hours. Extend that curve, and within a year, AI could work independently for days.

Shumer puts it bluntly: This isn’t a prediction. It’s already happening. The latest models show something that feels less like automation and more like judgment. The uncomfortable truth: the gap between what AI can do and what most teams let it do is growing wider by the week.

That gap? It’s where opportunity and risk live.

Ride the wave, don’t chase it

There's a Lunar New Year tradition of sweeping the house clean before the new year, clearing out the old to make room for fresh fortune. Enterprise teams need the same reset. The instinct is to wait for the dust to settle. But in a race this fast, waiting is falling behind.

The smartest teams aren't chasing individual model releases. They're sweeping out legacy workflows and building the foundation to absorb each new wave of capability as it arrives.

Here’s how:

• Invest in Contextual Intelligence: When everyone has access to the same AI horsepower, your data becomes the differentiator. The teams that win will be the ones feeding it the richest inputs: deep customer data, proprietary insights, and hard-earned domain expertise.
• Sharpen the Human Edge: As AI takes over execution, your value shifts to what machines can’t do — reading the room, building trust, and making judgment calls. The best sales pros will use AI like a jockey uses a racehorse: with timing, strategy, and instinct.

In a race with no finish line, the best time to jump in is still right now.