The reason this question produces contradictory headlines is that people quote two different metrics as if they were one. Users and share are moving in opposite directions.
| Measurement system | What it measures | Gemini trend | ChatGPT trend | Claude trend |
|---|---|---|---|---|
| FirstPageSage (Jan–Jun 2026) | Chatbot market share | 14.0% → 14.1% → 13.8% → 13.2% → 13.5% → 13.3% (−0.7pp) | 67.1% → 58.6% (−8.5pp) | 8.5% → 11.5% (+3.0pp) |
| Similarweb (through May 2026) | Web visits | ~27.5% share, 2.65B visits | 53% share, 9.5B visits, slipped below 50% for the first time in June | 9% share, 0.9B visits |
| Sensor Tower / Similarweb (via tech press, Mar→May 2026) | AI-assistant share | 25.5% → 27.7% | 50.0% → 46.4% | 6.0% → 10.3% |
| BNP Paribas (Aug 14, 2026) | Daily active users | Held at 19.8% — flat | Regaining momentum | — |
Methodology note, stated up front: the absolute levels are not comparable across these sources — FirstPageSage puts Gemini at 13% while Similarweb puts it near 28%, because one measures assistant usage and the other measures web visits. Do not average them. What is comparable is the direction inside each series, and all four say the same thing.
My read, and it is a negative one: the order of events matters. The flagship slipped before the departures, not after. Shipping efficiency models instead of a frontier model, while compute-constrained enough that your own DeepMind researchers are reportedly queuing behind TPU capacity you sold to Anthropic and Meta, is the signature of an organisation that chose to monetise its silicon rather than defend its model crown. That was a deliberate trade, and I think it was the correct one — but it has a cost, and the cost is showing up exactly where you would expect: consumer share.
Here is the quantification nobody puts next to the Gemini headlines. Alphabet does not break out consumer Gemini subscription revenue; it sits inside subscriptions/platforms/devices. Be generous and call it $10B a year. Against a ~$479B annualised revenue base, that is ~2%.
Now look at what happened in the same quarter that Gemini's consumer share went flat: Google Cloud grew 82% to $24.87B at a 35.6% operating margin, and backlog hit $514B. Grok 4.6 launched on Google Cloud Vertex AI. Anthropic trains and serves on TPUs. Meta is testing them. Alphabet monetises its competitors' models. Losing the chatbot war and winning the compute war is not a contradiction — it is the strategy.
| Generation | Detail | Consequence |
|---|---|---|
| TPU v7 "Ironwood" | 4.6 petaFLOPS per chip; 42.5 exaFLOPS in a 9,216-chip superpod; shipping in volume | The inference-era workhorse; the chip Anthropic's 1GW+ 2026 buildout runs on |
| TPU 8t (Cloud Next, Apr 2026) | Broadcom-designed, training-optimised, TSMC 2nm, late 2027 | Broadcom keeps the training socket |
| TPU 8i (Cloud Next, Apr 2026) | MediaTek-designed, inference-optimised, TSMC 2nm, late 2027; claimed ~80% better inference performance-per-dollar than Ironwood; 121 exaflops headline | Broadcom loses the inference socket — and inference volume dwarfs training volume over time |
| Attach silicon | $120B Marvell arrangement for CXL and custom NICs around TPU inference; Intel also in the supply chain | A deliberate four-vendor supply chain |
| Anchor demand | Anthropic: up to 1M TPU chips, >1GW online in 2026, 3.5GW committed from 2027 | Single-counterparty concentration — see 4.3 |
| External customers named | Anthropic, Meta, Salesforce, Midjourney, Replit (plus SSI and xAI in supply-chain reporting) | Meta is the validation that matters — a direct Nvidia substitution by a peer hyperscaler |
My read: the two-way split of TPU v8 is the single most important strategic disclosure Google made in 2026, and it was almost entirely covered as a chip-spec story. It is a procurement story. Google first used custom silicon to break Nvidia's pricing power; it is now using MediaTek and Marvell to break Broadcom's. A company that multi-sources both its training and its inference silicon at 2nm has structurally capped what any single vendor can charge it — forever.
Do the arithmetic, because it is decisive. A 1-gigawatt AI deployment costs on the order of $35–50B. A 220 basis point financing advantage on $40B is roughly $880 million per year of interest saved. No plausible perf-per-watt difference between Ironwood and Blackwell/Rubin generates that much economic value per year on the same capital base. Google has turned its balance sheet into a chip subsidy, and the subsidy is larger than the silicon advantage.
And it ties directly to this morning's finding. Alphabet issued $25B of senior notes on Aug 10 including 6.500% due 2066 — 123bp over the 5.273% 30-year Treasury. So the structure is: Alphabet borrows 40-year money at 6.5%, and lends its credit rating to tenants so they can borrow at 7.1% to buy Alphabet's chips and rent Alphabet's cloud. That is a carry trade with a chip business bolted on, and it is brilliant right up until the counterparty stops paying.
Consequence, and a correction to my own morning note. In Part I I framed an Anthropic IPO priced below the last round as a clean "fake miss, buy the dip." That was too clean and I am tightening it. A soft Anthropic print now has three transmission channels into Alphabet, not one. I am keeping the trade but raising the bar: I will only buy that dislocation if backlog holds and no guarantee is drawn. If a guarantee is drawn, it is not an accounting event.
| Price | Market cap | P/E (TTM) | Rev growth YoY | % off 52wk high | |
|---|---|---|---|---|---|
| GOOGL | $344.82 | $4.227T | 17.3 headline / ~26 adjusted | +20.1% | −15.6% |
| NVDA | $214.72 | $5.423T | 34.0 | +70.7% | −9.2% |
| MSFT | $483.24 | $3.700T | 27.7 | +17.8% | −12.7% |
| AVGO | $368.45 | $2.004T | 68.4 | +32.3% | −25.6% |
| META | $549.90 | $1.516T | 22.3 | +27.7% | −30.5% |
Trailing P/E and revenue growth from the fundamentals feed. Forward P/Es from that feed are unreliable in this dataset — it reports AVGO's forward multiple above its trailing multiple, which would imply falling earnings at a company growing revenue 32%. I am using trailing only and saying so.
The honest ranking on adjusted earnings: META (22x) < GOOGL (~26x) ≈ MSFT (27.7x) < NVDA (34x) << AVGO (68x). Alphabet is not the cheapest mega-cap AI name — that was Part I's correction and it holds here. But it is cheaper than Nvidia while owning the only credible full-stack alternative to Nvidia, and it is trading at a fraction of Broadcom's multiple while being the customer that decides how much of Broadcom's TPU franchise survives.
Unchanged from Part I: buy GOOG at $341.75, not GOOGL at $344.82 (0.90% cheaper, identical economics). Entry $322–$350 GOOGL-equivalent. Target $410 (1–3 months), $460 (6–12 months). Invalidation: weekly close below $300, or on Oct 26 a backlog below $500B or cloud operating margin below 30%.
What this AI review changes: nothing in the levels, one thing in the reasoning. The bull case does not require Gemini to win the chatbot war, and I now say that explicitly. It requires (a) cloud backlog conversion and (b) the TPU financing moat holding. New named risk added: the four-way Anthropic exposure, including up to $43.8B of contingent lease guarantees that sit outside reported debt. Size accordingly — this is a full position, not an oversized one.
Original trigger stands: a quarter with a negative other-income line from AI equity marks (likeliest catalyst: Anthropic IPO pricing below the last private round) plus an >8% selloff → buy $280–$310, target $400.
New mandatory conditions before buying, added today: (1) cloud backlog must still be flat-to-up in that same quarter, and (2) no credit guarantee may have been drawn. If either fails, stand aside — it is a solvency-chain event, not an accounting event, and the floor is much lower than $280.
| Scenario | Prob | Measurable triggers | GOOGL |
|---|---|---|---|
| Bull | 30% | Gemini 4-class frontier ships and moves visit share >5pp within two months; TPU 8i tapes out on schedule at 2nm; a second named hyperscaler-scale external TPU customer beyond Anthropic and Meta; Oct 26 backlog >$600B | $410–460 |
| Base | 50% | Gemini share plateaus at 25–30% of visits / ~20% DAU; Flash line carries the roadmap; TPU roadmap on track; backlog $540–600B; FCF still negative | $340–390 |
| Bear | 20% | Second wave of DeepMind departures; Gemini visit share prints below 24%; or a guarantee is drawn / Anthropic funding stumbles, hitting equity marks, backlog quality and the contingent liability at once | $270–300 |
Data limitations stated openly: chatbot share figures come from panel-based estimators with incompatible methodologies and should be read for direction, not level. Third-party API token-share rankings (e.g. OpenRouter) understate Google badly because most Gemini API volume runs through AI Studio and Vertex rather than aggregators — I have deliberately not leaned on them. Not investment advice.