BIT Research Report | AI Investment Enters the "Monetization Phase" – Which Assets Are Generating Real Returns?

特邀专栏作者

2026-04-30 05:15

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By 2026, AI will no longer be a chatbot in the lab but a productivity engine on corporate balance sheets. As Anthropic's revenue miraculously surpasses OpenAI's, AI investment has officially entered the first year of "Agent" monetization.

AI Summary

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Core Viewpoint: 2026 marks a turning point for AI investment, with the core logic shifting from models to the actual productivity of AI Agents. Capital expenditure is surging (over $600 billion), but sector divergence is significant: infrastructure (Nvidia) and vertical applications (Palantir) have become prime value capture points, while Anthropic's revenue breaks through $30 billion, disrupting the industry landscape.
Key Elements:
1. The AI Agent market will surpass $9 billion in 2026. Early enterprise workflows accelerate by 20-30%, and backend costs drop by approximately 25%, signaling AI's transition from an experiment to a production tool.
2. Anthropic's revenue surged from $1 billion to $30 billion in 15 months, surpassing OpenAI. Its Claude Code tool generates an annualized revenue of $2.5 billion, driven by a enterprise-first strategy.
3. Nvidia's monopoly remains solid, with its CUDA ecosystem serving as a moat, but custom chips (TPU/LPU) are beginning to divert share. Its Vera Rubin platform will further reduce inference costs by 10x.
4. Cloud providers' capital expenditure exceeds $600 billion, creating a monetization gap against the current approximately $25 billion in direct AI revenue. If ROI falls short of expectations, sector valuations face correction risk.
5. Palantir's FY2026 revenue guidance exceeds $71 billion. Its AIP platform is irreplaceable in high-stakes scenarios (defense, healthcare), serving as the "cockpit" for decision-making.
6. Anthropic is expected to IPO in October 2026. Its AI Agent business gross margins will define the valuation benchmark for the SaaS industry. Google Cloud's operational scale surpasses $70 billion, insulating it from AI's disruptive impact on search.
7. Three core risks: the monetization gap (capital market pressure), enforcement of the EU AI Act in August 2026 (sharply rising compliance costs), and approximately 62% of enterprises adopting a wait-and-see approach to deep deployment due to "model hallucinations."

Author: BIT US Equities Business Guest Analyst Jun

Key Data: 2025 Market Size $244 Billion | Cloud AI CapEx >$600 Billion | Anthropic Annualized Revenue $30 Billion (First Surpassing OpenAI) | NVIDIA FY2026 Revenue Guidance $215.9 Billion

1. Core Investment Thesis: The Four High-Grounds of the AI Value Chain

Understanding AI investment requires looking beyond models; the key is identifying who captures value in the chain:

Compute Infrastructure – The "Digital Oil Fields"

Logic: Regardless of who wins, they need chips. NVIDIA (NVDA) maintains its monopoly, but custom chips (TPU/LPU) are creating分流.
Representative: NVIDIA

Frontier Models – "Intelligence as Electricity"

Logic: Intense competition at the top is evolving towards specialized division of labor.
Representatives: OpenAI (Traffic King), Anthropic (Enterprise Leader), Meta (Open Source Disruptor).

AI Agents & Platforms – "The Automation Brain"

Logic: The decisive battleground for 2026. AI no longer just answers questions; it autonomously completes multi-step tasks.
Representatives: Salesforce (Agentforce), Microsoft (Copilot Studio).

Vertical Applications & Decision Intelligence – "Hardcore Cost Reduction"

Logic: Integrating AI with industry data to generate quantifiable ROI.
Representative: Palantir (PLTR) – The premier choice for defense and government AI.

2. Why 2026 is a "Different" Turning Point?

2026 marks a watershed moment for AI development, driven by three fundamental shifts in core logic:

Utility Leap: ChatGPT solved "ease of use" in 2022; in 2026, AI Agents solved "utility," transforming AI from an experiment into a productive tool for corporate competition.

Jevons Paradox Empirically Proven: The DeepSeek shock proved that falling AI costs didn't reduce spending; instead, lower barriers triggered even larger-scale "aggressive deployment" by global enterprises.

Scale of Capital Mobilization: This is the largest capital mobilization for a single technology in modern economic history. Not just tech giants, but sovereign nations are entering the fray, viewing "Sovereign AI" as central to national security and economic competitiveness.

3. The Giants' Duel: OpenAI vs Anthropic

Anthropic: The "Cash King" of the Enterprise Market

Stellar Data: Achieved revenue leap from $1 Billion to $30 Billion in just 15 months, setting a record in B2B software history.

Killer Feature: Adherence to enterprise-first strategy; Claude Code (AI Agent coding tool) has achieved $2.5 Billion in annualized revenue.

OpenAI: The Pioneer's Transformation Pressure

Current Status: Despite ~900 million weekly active users, it faces staggering annual losses of ~$14 Billion. Its $852 Billion valuation funding round, closing in April 2026, is a "lifeline" for achieving cash flow positivity.

4. The AI Agent Revolution: The True Inflection Point for Productivity

2026 is the Year of the AI Agent, marking AI's substantive penetration into business operations.

Fundamental Difference: Chatbots rely on human guidance (reactive Q&A); AI Agents autonomously plan pathways (goal-oriented, automatically calling tools, sending emails, running code, and delivering results).
Implementation Impact: The AI Agent market size surpasses $9 Billion in 2026. Early adopters see workflow acceleration of 20%-30% and back-office operational cost reductions of approximately 25%.
Leaders: Agentforce (Salesforce) ARR hits $540 Million; Copilot Studio (Microsoft) leverages deep ecosystem integration for seamless workplace AI Agent coverage.

5. Key Public Companies to Watch

1. NVIDIA (NVDA) – The "Master Valve"

Core Logic: Primary beneficiary of $600 Billion cloud CapEx.
Moat: Not just the chip, but the CUDA ecosystem. The newly launched Vera Rubin platform is set to reduce inference costs by another 10x, aiming to make running AI Agents as cheap as flipping a light switch.

2. Palantir (PLTR) – The "Cockpit"

Position: An application platform built on top of infrastructure, enabling governments and militaries to truly use AI Agents for decision support.
Key Point: FY2026 revenue guidance exceeds $7.1 Billion. Its AIP platform is irreplaceable in high-risk (e.g., military, medical) and auditable scenarios.

3. Alphabet/Google (GOOGL) – The Integration King

Advantage: Possesses everything from TPU chips to Gemini models and distribution channels reaching billions globally.
Scale: Google Cloud's 2025 operational scale surpasses $70 Billion, successfully hedging AI's impact on traditional search advertising models through enterprise-grade AI Agent services.

6. Key Catalysts for H2 2026

In the second half of the year, the market will not only price newly listed giants but also "grade" AI's return on investment.

Anthropic IPO: Expected in October 2026. The gross margin disclosed in its S-1 for AI Agent business will directly define the valuation benchmark for the entire SaaS industry.
The AI Agent ROI Reckoning: By late 2026, if enterprises fail to significantly improve profit margins via AI Agents, capital expenditure may face a cyclical pullback.

7. Investment Risk Warnings

Current AI investments face three core tests: Firstly, the "Monetization Gap" – a chasm exists between over $600 Billion in CapEx by hyperscale cloud providers and direct AI revenue of ~$25 Billion. If ROI falls short, sector valuations face sharp corrections. Secondly, regulatory and compliance pressures – as the EU AI Act begins enforcement from August 2026, enterprise compliance costs will spike. Finally, technological deployment bottlenecks – approximately 62% of enterprises remain hesitant about deep deployment due to "model hallucination," and Gartner predicts ~40% of early AI Agent projects may fail due to lack of governance. Investors must be wary of valuations prematurely pricing in expectations.

Summary:

Conservative investors focus on NVIDIA or QQQ for certainty; aggressive investors study Anthropic or Palantir to capture high growth. In 2026, AI is no longer about storytelling, but about whose Agent can generate more profit.

BIT's US equities business directly connects with licensed brokerages, covering all core stocks and ETFs in the US market. Supports stablecoin deposits and withdrawals, enabling crypto users to capture the 2026 tech dividend with one click. Services may be subject to jurisdictional limitations and may not be available in certain regions (including but not limited to Hong Kong).

Data as of April 2026. Sources include: Statista, Cargoson, McKinsey & Company, OpenAI (April 2026 funding announcement and CFO Sarah Friar disclosures), Anthropic (Series G February 2026 and April 2026 revenue disclosures), Sacra, SaaStr, Remio AI, Alphabet Inc. (Q4 2025 earnings/Form 8-K), NVIDIA (FY2026 earnings/Form 8-K), Palantir Technologies (Q4 2025 earnings), PIIE (Peterson Institute for International Economics), CNBC, The Next Web, VentureBeat, The National Interest, Gartner, IDC, Joget, Tech-Insider, European Commission (AI Act official documents), Crowell and Moring, AI Daily News.

Disclaimer: This report is for informational purposes only and does not constitute investment advice. Past performance is not indicative of future returns. Investment involves risk, including potential loss of principal. Clients should consult a qualified financial advisor before making any investment decisions.

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