Why AI's winners won't be decided by benchmarks
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Google has been on an AI roll, with the latest release of its image and text models beating a host of rivals.
- But judging who is winning the AI race is a nuanced exercise; business models and balance sheets are at least as important as who's topping the performance charts.
Why it matters: For all the bravado from across the sector, the generative AI boom won't stay frothy forever. Tech companies are spending billions with little proven revenue, setting the stage for clear winners — and spectacular failures.
- Here's a look at where each of the major players — and some up-and-comers — stand.
- Once seen as having squandered its early research advantage, Google has been showing signs of a comeback for months, even before the release of its Nano Banana image generator and Gemini 3 language models.
- It's also got an end-to-end ecosystem from its Tensor chips to its models and cloud computing services.
Yes, but: Generative AI still threatens to upend the search business that has funded the bulk of Google's empire.
- While Google has added AI summaries to its search results, just where ads will fit in remains a trillion-dollar question.
OpenAI
- The company that defined the category with ChatGPT is now on its heels enough to declare an internal "code red" as it looks to accelerate a competitive response to the latest Gemini model — a release that could come this week.
- More broadly, without a separate business to fund its operation, OpenAI must borrow heavily and quickly build products that generate revenue now.
Yes, but: OpenAI is in many ways still the one to beat, especially from the consumer perspective. There's a reason everyone is clamoring to get their apps inside ChatGPT.
Meta
- Mark Zuckerberg's company is in the midst of a massive reboot after seeing its open source Llama models fall behind the pack.
- The company went on a pricey hiring spree to bring in new leadership and is reportedly pinning its hopes on a new model, code-named Avocado, expected early next year.
Yes, but: Meta's flailing efforts are buttressed by an incredibly strong existing operation.
- In addition to generating bushels of cash to fund infrastructure and talent acquisition, Meta knows a ton about its billions of users. And knowing just what customers like, combined with a powerful ad engine, could be highly lucrative — even if Meta never produces the best models in the business.
Anthropic
- While it flies somewhat under the radar due to its low presence in the consumer space, Anthropic's Claude is still the go-to choice for many coders and enterprise customers.
- A new deal with Accenture, announced Tuesday, is an example of how it can expand its operation without being a household name.
Yes, but: Like OpenAI, it has to fund its massive ambitions by rapidly growing its business and/or raising vast amounts of money. A potential 2026 IPO could help along those lines, but as an AI-native company, it's more vulnerable to a shift in investor whims.
Apple
- The iPhone maker unveiled its Apple Intelligence strategy nearly 18 months ago, but has failed to deliver on the most compelling pieces.
- Under the surface, the company seems headed toward relying on outside help at the frontier side, a strategy that threatens to make its success dependent on others — usually a risky proposition in the tech world.
Yes, but: Apple has an enviable relationship with its customers. If it can find a way to deliver an experience that is both private and powerful, consumers may continue to gravitate to its devices and services.
Microsoft
- The company's generative AI fortunes were directly tied to its exclusive relationship with OpenAI. Under its recently renegotiated deal, though, OpenAI can get a lot of its compute capabilities elsewhere.
- Microsoft has more than just its OpenAI deal, though, including its Windows, Office, Azure and a nascent frontier AI strategy of its own.
Yes, but: Like Apple, Microsoft needs to do more than talk about "a more human-centric" approach to superintelligence. It needs to produce results for its customers — mostly businesses — who count on it to boost the bottom line.
The rest of the field
Amazon: While often not mentioned in the same breath as the other tech giants, Amazon has its own chips, the largest cloud computing operation and a growing number of its own models to complement its array of options from Anthropic and open-source players.
- Yes, but: Amazon's internal AI products — from Alexa to retail recommendations — have yet to produce the kind of consumer "wow" moment that ChatGPT delivered.
China: Also less obvious to those in the U.S. are the growing array of entrants from China, including startups like DeepSeek and existing tech giants such as Alibaba. And these firms have access to considerable state investment and a huge domestic market.
- Yes, but: U.S. export controls mean that Chinese companies lack access to Nvidia's latest and greatest chips, among other limits.
The startups: Companies like Ilya Sutskever's Safe Superintelligence (SSI) and Mira Murati's Thinking Machines Lab have lured some top-name talent and attracted significant investment.
- Yes, but: Neither has shared much about its product strategy, and it's clear that star power alone can't win this race.
