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Musk Warns AI Is The Ultimate Hardware Battle As Nvidia's Blackwell Chips Threaten Google's Pricing Power

MarketDash Editorial Team
5 hours ago
Elon Musk says AI has become a high-stakes hardware race, as investor Gavin Baker explains how Nvidia's delayed Blackwell chips could end Google's ability to undercut competitors on price.

Tesla Inc. (TSLA) CEO Elon Musk is sounding the alarm about an all-out AI hardware war, and the stakes couldn't be higher. After investor Gavin Baker laid out how Nvidia Corp. (NVDA) and its next-generation Blackwell chips could upend the economics of artificial intelligence, Musk jumped in with his own take: AI is now the ultimate competitive battle, and whoever deploys hardware fastest wins.

The Hardware Speed War According to Musk

Baker's comments came during an appearance on the Invest Like the Best podcast, where he walked through the escalating infrastructure battle among major AI players. Musk, never one to stay quiet, responded on X with characteristic bluntness: "AI is the highest ELO battle ever. Speed of deployment of hardware, especially robotics, is the linchpin."

For those unfamiliar, the Elo rating system was created by Arpad Elo to measure player skill in zero-sum games like chess. It's now used everywhere from esports to traditional sports, and even to rank large language models. Higher scores mean stronger performance, and points shift based on outcomes. In Musk's view, AI has become the highest-stakes version of this competition ever played.

Why Blackwell's Delays Gave Google a Window

Baker explained that the battle has largely centered on Alphabet Inc. (GOOG) (GOOGL) Google and Nvidia, with both companies racing to dominate AI chip infrastructure. Nvidia's Blackwell platform faced significant delays because moving from Hopper chips required massive infrastructure overhauls—think higher power consumption, liquid cooling systems, heavier data center racks, and intense heat management challenges.

"It was by far the most complex product transition we've ever gone through in technology," Baker said. Large-scale Blackwell deployments only started ramping up in recent months, which created an opening for Google.

Google Squeezed the Market on Price

During Nvidia's transition struggles, Google positioned itself as the lowest-cost producer of AI "tokens"—the units that measure AI processing. This allowed the company to aggressively slash prices and undercut competitors across the board.

Baker said Google has been sucking the "economic oxygen out of the AI ecosystem." It's a rational strategy when you have a cost advantage, but Baker thinks it might be temporary.

The Blackwell Reversal Could Arrive in 2026

Here's where things get interesting. Baker believes the first major AI models trained on Blackwell chips could show up in early 2026, and he thinks Musk's xAI might be the first to deploy them at scale. The newer GB300 systems are designed to be "drop-in compatible," which could flip the script entirely—making Nvidia-powered AI systems the new lowest-cost option instead of Google's infrastructure.

If that happens, Google's pricing power evaporates. And when you've been running AI services at big losses to gain market share, losing your cost advantage is a serious problem.

What This Means for Google's Stock

Baker didn't mince words about the implications. Once Google loses its cost edge, it probably can't afford to keep running AI operations at steep losses. That could force a strategic shift across the entire industry, and if Google becomes a higher-cost producer, sustaining deeply negative margins would become painful fast. Baker warned that this scenario could start weighing on Google's stock.

Beyond that, he said the expected launch of Nvidia's Rubin chips could widen the performance and cost gap even further versus tensor processing units and other custom AI chips. In other words, the competitive landscape could get a lot more brutal for anyone not riding the Nvidia wave.

Meta Considers Google's TPUs as the Race Heats Up

The hardware battle is already getting messy. Last month, reports surfaced that Meta Platforms, Inc. (META) is in talks to purchase Google's tensor processing units for its data centers, potentially starting in 2026 with broader deployment in 2027.

Nvidia responded to these developments with a mix of praise and swagger, saying in a social media post that it was "delighted" by Google's AI progress but remained "a generation ahead" of the competition. That's the chip equivalent of a victory lap before the race is even finished.

Nvidia has climbed 37.74% year-to-date, and its fundamentals back up the hype. The company ranks in the 97th percentile for Growth and 92nd for Quality, underscoring its dominant position in the AI chip market.

So where does this leave us? If Baker and Musk are right, we're watching the opening moves of a hardware arms race that will determine who controls AI infrastructure for years to come. Google has had its moment in the sun with low-cost pricing, but Blackwell could change everything. And when the hardware flips, the economics flip with it.

Back to News

Musk Warns AI Is The Ultimate Hardware Battle As Nvidia's Blackwell Chips Threaten Google's Pricing Power

MarketDash Editorial Team
5 hours ago
Elon Musk says AI has become a high-stakes hardware race, as investor Gavin Baker explains how Nvidia's delayed Blackwell chips could end Google's ability to undercut competitors on price.

Tesla Inc. (TSLA) CEO Elon Musk is sounding the alarm about an all-out AI hardware war, and the stakes couldn't be higher. After investor Gavin Baker laid out how Nvidia Corp. (NVDA) and its next-generation Blackwell chips could upend the economics of artificial intelligence, Musk jumped in with his own take: AI is now the ultimate competitive battle, and whoever deploys hardware fastest wins.

The Hardware Speed War According to Musk

Baker's comments came during an appearance on the Invest Like the Best podcast, where he walked through the escalating infrastructure battle among major AI players. Musk, never one to stay quiet, responded on X with characteristic bluntness: "AI is the highest ELO battle ever. Speed of deployment of hardware, especially robotics, is the linchpin."

For those unfamiliar, the Elo rating system was created by Arpad Elo to measure player skill in zero-sum games like chess. It's now used everywhere from esports to traditional sports, and even to rank large language models. Higher scores mean stronger performance, and points shift based on outcomes. In Musk's view, AI has become the highest-stakes version of this competition ever played.

Why Blackwell's Delays Gave Google a Window

Baker explained that the battle has largely centered on Alphabet Inc. (GOOG) (GOOGL) Google and Nvidia, with both companies racing to dominate AI chip infrastructure. Nvidia's Blackwell platform faced significant delays because moving from Hopper chips required massive infrastructure overhauls—think higher power consumption, liquid cooling systems, heavier data center racks, and intense heat management challenges.

"It was by far the most complex product transition we've ever gone through in technology," Baker said. Large-scale Blackwell deployments only started ramping up in recent months, which created an opening for Google.

Google Squeezed the Market on Price

During Nvidia's transition struggles, Google positioned itself as the lowest-cost producer of AI "tokens"—the units that measure AI processing. This allowed the company to aggressively slash prices and undercut competitors across the board.

Baker said Google has been sucking the "economic oxygen out of the AI ecosystem." It's a rational strategy when you have a cost advantage, but Baker thinks it might be temporary.

The Blackwell Reversal Could Arrive in 2026

Here's where things get interesting. Baker believes the first major AI models trained on Blackwell chips could show up in early 2026, and he thinks Musk's xAI might be the first to deploy them at scale. The newer GB300 systems are designed to be "drop-in compatible," which could flip the script entirely—making Nvidia-powered AI systems the new lowest-cost option instead of Google's infrastructure.

If that happens, Google's pricing power evaporates. And when you've been running AI services at big losses to gain market share, losing your cost advantage is a serious problem.

What This Means for Google's Stock

Baker didn't mince words about the implications. Once Google loses its cost edge, it probably can't afford to keep running AI operations at steep losses. That could force a strategic shift across the entire industry, and if Google becomes a higher-cost producer, sustaining deeply negative margins would become painful fast. Baker warned that this scenario could start weighing on Google's stock.

Beyond that, he said the expected launch of Nvidia's Rubin chips could widen the performance and cost gap even further versus tensor processing units and other custom AI chips. In other words, the competitive landscape could get a lot more brutal for anyone not riding the Nvidia wave.

Meta Considers Google's TPUs as the Race Heats Up

The hardware battle is already getting messy. Last month, reports surfaced that Meta Platforms, Inc. (META) is in talks to purchase Google's tensor processing units for its data centers, potentially starting in 2026 with broader deployment in 2027.

Nvidia responded to these developments with a mix of praise and swagger, saying in a social media post that it was "delighted" by Google's AI progress but remained "a generation ahead" of the competition. That's the chip equivalent of a victory lap before the race is even finished.

Nvidia has climbed 37.74% year-to-date, and its fundamentals back up the hype. The company ranks in the 97th percentile for Growth and 92nd for Quality, underscoring its dominant position in the AI chip market.

So where does this leave us? If Baker and Musk are right, we're watching the opening moves of a hardware arms race that will determine who controls AI infrastructure for years to come. Google has had its moment in the sun with low-cost pricing, but Blackwell could change everything. And when the hardware flips, the economics flip with it.