🎙️ Horner’s Corner: “One Lap for Glory — Abu Dhabi 2021”

"Sometimes, Formula 1 gives you a finish so dramatic, it defies belief."

In this special episode of Horner’s Corner, Christian Horner takes listeners behind the pit wall for a firsthand account of one of the most controversial and unforgettable races in F1 history — the 2021 Abu Dhabi Grand Prix.

Amazon Prime Video link to sign up From the electric tension on the grid to the heartbreak, confusion, and ultimate triumph that unfolded in those final laps, Horner relives every heartbeat of that night — when a Safety Car, a bold strategy call, and one fearless young driver changed the course of Formula 1 forever.

Hear the emotion, the chaos, and the sheer human drama of the moment that crowned Max Verstappen as World Champion, while leaving the world divided and breathless.

This isn’t just a race recap — it’s a story of risk, rivalry, and redemption told through the eyes of a man who lived it.

🔥 "One Lap for Glory — Abu Dhabi 2021."

🎙️ PODCAST DISCLAIMER — ROTR Formula 1 Edition

Before we drop the visor and send it, a quick note from the pit wall:

This podcast uses artificial intelligence to help craft stories, commentary, and the occasional overly-dramatic retelling of Formula One chaos. The characters, dialogue, and events you hear may be fictionalized, embellished, or entirely invented for entertainment — a bit like a team radio message that’s been “creatively edited” for the broadcast.

Any resemblance to real persons, living or dead — drivers, team principals, mechanics, or that one guy in the paddock nobody can quite identify — is purely coincidental and the unintended result of the author’s imagination and AI’s over-enthusiasm.

Everything you hear is meant for entertainment, storytelling, and the love of the sport. No official affiliations, no insider leaks… just high-octane narrative fun.

Strap in, enjoy the episode, and remember: in this podcast, the only thing faster than an F1 car is the fiction.

The creators of this podcast make no claims regarding the accuracy or authenticity of any AI-assisted content and accept no responsibility for interpretations made by listeners.