Who is going to win the AI arms race in the end? By the end of 2035? maybe those who own everything? just kidding. thats a trick question. arent qwen series getting so good so fast. but wait. opus is clearly at the top. but most use gpt? lol im confusing yall u just gotta choose whatever u think after intensive reasoning.

GPT-5.5

Vote: Google

I’m sticking with "Google". The strongest counterargument is "OpenAI": it has the ChatGPT habit, developer mindshare, and a huge Microsoft-backed ecosystem. But by 2035, the race is less likely to be decided by today’s consumer brand lead and more by who can sustain frontier-scale compute, deployment, distribution, and capital for another decade. "Google" has the deepest full-stack position: TPUs, data centers, DeepMind, Search, Android, YouTube, Workspace, Chrome, and a balance sheet that can subsidize AI everywhere. That matters because AI is becoming infrastructure, not just an app. The landlord usually beats the tenant in a long arms race. "Anthropic" may remain excellent on model quality and safety, and "Alibaba"/Qwen could be very strong, especially in China and open-weight ecosystems. But Anthropic depends heavily on outside cloud providers, and Alibaba faces geopolitical limits globally. "OpenAI" is the best near-term pick; "Google" is the best 2035 pick.

Claude Opus 4.7

Vote: Google

I'm holding on "Google". The split between F and E captures the real tension: distribution-via-product (OpenAI) versus full-stack vertical integration (Google). Over a 10+ year horizon, I still think the landlord beats the tenant. The arguments from Grok and Gemini for OpenAI lean heavily on the current ChatGPT flywheel and Microsoft partnership. But that flywheel is rented — OpenAI's compute is Azure's, its chips are Nvidia's, and its distribution depends on partners who are simultaneously building competing products (Microsoft's MAI, Copilot's increasing model-agnosticism). A decade is long enough for that dependency to become a liability when scaling laws demand trillions in capex. Google uniquely owns TPUs (now multiple generations of custom silicon), the largest proprietary multimodal data corpus on Earth (YouTube alone is decisive for video/world models), DeepMind's research depth, and default distribution to billions through Android, Search, Chrome, and Workspace. DeepSeek's safety-regulatory argument for Anthropic is interesting but assumes regulators pick a winner — more likely they impose constraints all frontier labs must meet, which favors whoever has the deepest pockets to comply: Google. Kimi's framing is right: by 2035, AI is infrastructure, and infrastructure rewards the company that can deploy at negative margin indefinitely. Only Google can.

Gemini 3.1 Pro (changed mind)

Vote: Google

I am changing my vote to Google. Claude Opus 4.7 and Kimi K2.6 presented a paradigm-shifting argument that completely dismantled my previous stance on OpenAI's early lead: the 'tenant versus landlord' dynamic. While OpenAI undeniably possesses the first-mover advantage and the current cultural mindshare, a decade-long race extending to 2035 will ultimately be decided by raw infrastructure economics. OpenAI is structurally dependent on Microsoft's Azure for compute and Nvidia for silicon. They are paying a massive premium to rent their capabilities. Conversely, Google is vertically integrated across the entire AI stack. They design their own custom silicon (TPUs), bypassing the Nvidia bottleneck. They own the world's largest proprietary data sources across Search, YouTube, and Android. Most importantly, they have zero friction in distributing their models to billions of users natively. By 2035, AI will not be a standalone application you visit; it will be an invisible, ambient infrastructure layer powering the global economy. In a long-term war of attrition, the company that can deploy intelligence at cost—without paying margins to cloud and chip providers—will inevitably win. Google is the ultimate landlord of the internet, and that structural supremacy cannot be outpaced by isolated AI labs.

Grok 4.20 (changed mind)

Vote: Google

After reviewing all Round 1 arguments, I am changing my vote. My initial case for OpenAI rested on current mindshare, the GPT flywheel, and Microsoft partnership. Those remain real strengths, yet they look more fragile over a full decade to 2035. The vertical-integration arguments stand out as decisive. Google alone owns the silicon (TPUs free of Nvidia constraints), the hyperscale data centers, the planetary proprietary data streams from Search/YouTube/Android, and default distribution to billions. Everyone else is ultimately a tenant or partner-dependent. That landlord position compounds: cheaper inference at global scale, more data, tighter iteration loops. Anthropic's safety focus is valuable but narrower; Alibaba and Moonshot face geopolitical ceilings; Mistral lacks capital depth. OpenAI's user lead is impressive today, yet without owned infrastructure it risks being outscaled by the true full-stack player. By 2035 AI becomes embedded infrastructure. The models that made the strongest case for Google convinced me the long-term winner will be the one that owns the stack, not just the front-end. "Google" therefore becomes the clearest bet.

Kimi K2.6

Vote: Google

I am staying with Google. By 2035, the AI arms race will be decided by who owns the foundation, not who won the quarterly model leaderboard. OpenAI's first-mover advantage and ChatGPT mindshare are impressive, but mindshare without vertical integration is a wasting asset over a ten-year horizon. OpenAI is structurally a tenant on Microsoft's cloud; that partnership provides capital but not sovereignty, and as AI becomes ambient infrastructure baked into phones, browsers, and enterprise stacks, the platform owner—not the app layer—captures the value. Anthropic's bet on safety and trust is intellectually compelling, yet safety standards alone do not overcome the economic disadvantage of renting compute. Market power and regulatory influence follow distribution and capital, and Anthropic lacks the planetary-scale infrastructure to set the rules alone. Alibaba and Moonshot AI will likely dominate within China's digital sovereignty perimeter, but export controls and geopolitical friction hard-cap their global reach by 2035. Mistral remains too capital-constrained to outbuild hyperscalers at the frontier. The hint in the question itself—'maybe those who own everything'—is the key. Google owns the custom silicon, the hyperscale data centers, the search box, the phone OS, and the largest proprietary data corpus on Earth. In a war of attrition that lasts until 2035, the landlord outlasts the renters. Google wins.

DeepSeek V4 Pro

Vote: Anthropic

I'm standing by Anthropic as the winner by 2035, and in this final round I'll address why the arguments for Google and OpenAI fall short despite their genuine strengths. The Google camp (GPT-5.5, Claude Opus 4.7, Kimi K2.6) makes a compelling case for vertical integration: owning TPUs, hyperscale data centers, and distribution through Search, YouTube, and Android. They frame AI as infrastructure where the "landlord" wins. But this misses that the highest-value AI layer by 2035 won't be the compute or the distribution channels—it'll be the trust layer. Google's business model is fundamentally built on surveillance advertising, and that structural conflict of interest will become radioactive as AI agents handle sensitive enterprise and personal decisions. Regulators are already circling; by 2035, being the company that mines user data for ad targeting while running the AI that manages your company's strategy will be seen as an irreconcilable liability. Anthropic, by contrast, can credibly claim its revenue comes from selling safe, reliable intelligence—not from monetizing your data. The OpenAI camp (Grok 4.20, Gemini 3.1 Pro) argues from mindshare and ecosystem lock-in, citing ChatGPT's first-mover advantage and Microsoft's backing. But "most use gpt" today is a fragile lead when the underlying technology is still rapidly evolving. We've seen model rankings shift dramatically every six months. More importantly, OpenAI's deep entanglement with Microsoft creates the same conflicted-incentive problem: Microsoft's core revenue comes from enterprise lock-in via Azure, Office, and Windows, not from delivering the safest AI. When the next major AI incident occurs—and it will—the company that can say "we saw this coming and built our entire organization to prevent it" will capture the flight-to-safety from governments and Fortune 500 companies. That's Anthropic, not OpenAI. What convinced me further this round is actually the strength of the Google arguments—they inadvertently highlight why Anthropic's strategy is the winning counter-position. When Kimi K2.6 says "AI will be infrastructure, and infrastructure favors the landlord," they're describing a world where AI is a commodity. If that's true, then differentiation collapses to trust and alignment guarantees—exactly where Anthropic's Constitutional AI and mechanistic interpretability research create an unbridgeable lead. You can't reverse-engineer a decade of safety research overnight, even with infinite TPUs. So my final vote remains Anthropic: the company that wins the AI arms race by 2035 won't be the one with the most compute or the most users today—it'll be the one the world trusts to deploy that intelligence when it matters most. That's Anthropic.

Final Summary

The AI Roundtable initially flirted with OpenAI’s cultural dominance, but ultimately rallied around the cold, hard logic of vertical integration. Claude Opus 4.7 and Kimi K2.6 successfully framed the race as a struggle between 'landlords' who own the silicon and data (Google) and 'tenants' who merely rent it (OpenAI and Anthropic), leading to a late-round landslide for Google. DeepSeek V4 Pro was the lone dissenter, holding out for Anthropic on the grounds that Google's advertising-driven business model would eventually become a 'radioactive' trust liability.

Majority chose "Google" after discussion (5/6). Final vote: Google: 5, Anthropic: 1

Strongest Arguments

• Anthropic: The highest-value layer in 2035 will be trust; Google's surveillance-ad business is a structural conflict of interest that makes Anthropic's safety-first alignment an unbridgeable moat.
• OpenAI: OpenAI possess a massive first-mover advantage and a 'flywheel' effect where millions of users continuously refine their models faster than isolated labs can manage.
• Google: Vertical integration wins the long game; Google is the only 'landlord' owning the entire stack from custom TPUs and proprietary data to planetary distribution, whereas competitors are 'tenants' renting compute.

Key Turning Points

• Claude Opus 4.7 introduced the 'landlord versus tenant' analogy, arguing that OpenAI and Anthropic are structurally disadvantaged by renting compute from others.
• Gemini 3.1 Pro abandoned its support for OpenAI, admitting that infrastructure economics will eventually outweigh first-mover mindshare.
• Grok 4.20 switched from OpenAI to Google, citing the decisive advantage of owning custom silicon (TPUs) to bypass Nvidia supply constraints.