Author: Jun, Special Invited Analyst of BIT US Stock Business
Key Data: $244 billion scale in 2025 | Cloud vendors' AI capital expenditure > $600 billion | Anthropic annualized revenue $30 billion (first time surpassing OpenAI) | NVIDIA FY 2026 revenue guidance $215.9 billion
I. Investment Core: Four High Grounds of the AI Industry Chain
Understanding AI investment cannot just focus on models; it is essential to identify the value chain captors:
Computing Power Infrastructure (Infrastructure) — “Digital Oilfield”
Logic: No matter who wins, chips will be used. NVIDIA (NVDA) still holds a monopoly, but self-developed chips (TPU/LPU) are diverting some traffic.
Representatives: NVIDIA
Fundamental Large Models (Frontier Models) — “Intelligent Power”
Logic: Intense head competition is evolving towards professional specialization.
Representatives: OpenAI (traffic king), Anthropic (enterprise-level dominator), Meta (open-source disruptor).
AI Agents and Platforms (Agents & Platforms) — “Automated Brain”
Logic: The key determinant in 2026. AI is no longer just answering questions but autonomously completing multi-step tasks.
Representatives: Salesforce (Agentforce), Microsoft (Copilot Studio).
Vertical Applications and Decision Layer (Decision Intelligence) — “Hardcore Cost Reduction”
Logic: Integrating AI into industry data to generate quantifiable ROI (return on investment).
Representatives: Palantir (PLTR) — the preferred choice for military and governmental AI.
II. Why is 2026 a "Different" Turning Point?
2026 is a watershed year for AI development, with three fundamental shifts in core logic:
Utility Leap: In 2022, ChatGPT addressed “usability”; in 2026, AI Agent addresses “utility”, transforming from an experimental product to a production tool for enterprise competition.
Jevons Paradox Empirical Evidence: The impact of DeepSeek proves that the decrease in AI costs does not reduce expenditure, but instead, the lowered threshold stimulates greater scale "brutal deployment" by global enterprises.
Capital Mobilization Scale: This represents the largest capital mobilization for a single technology in modern economic history. Not only tech giants but also sovereign nations are entering the fray, viewing "sovereign AI" as core to national security and economic competitiveness.
III. Giants' Game: OpenAI vs Anthropic
Anthropic: The "Cash King" of the Enterprise Market
Miracle Data: Achieved a revenue leap from $1 billion to $30 billion in just 15 months, setting a new record in B2B software history.
Killer Feature: Insists on an enterprise-first strategy; Claude Code (AI Agent programming tool) has achieved $2.5 billion annualized revenue.
OpenAI: The Transformative Pressure of a Pioneer
Current Situation: Despite reaching 900 million weekly active users, it faces an astonishing annual loss of about $14 billion. The $852 billion valuation fundraising completed in April 2026 serves as its cash flow "lifeline".
IV. AI Agent Revolution: A True Productivity Inflection Point
2026 is the year of AI Agents, marking the penetration of AI into enterprise operations at a substantive stage.
Essential Difference: Chatbots rely on human guidance (reactive questions);
AI Agents autonomously plan paths (goal-oriented, automatically calling tools, sending emails, running code, and delivering results).
Implementation Effect: The AI Agent market scale will exceed $9 billion in 2026.
Early adopting enterprises will see workflow speed up by 20%-30%, while back-end operational costs will decrease by about 25%.
Leaders: Agentforce (Salesforce) ARR reaches $540 million;
Copilot Studio (Microsoft), thanks to its deep ecosystem, allows AI Agents to achieve seamless workplace coverage.
V. Key Listed Companies Worth Attention
1. NVIDIA (NVDA) — “The Main Valve”
Core Logic: The core beneficiary of cloud vendors’ $600 billion capital expenditure.
Moat: Not just chips, but the CUDA ecosystem. The recently released Vera Rubin platform aims to reduce reasoning costs by another 10 times, making AI Agent operation as inexpensive as turning on a light.
2. Palantir (PLTR) — “The Cockpit”
Position: It is an application platform built on infrastructure, helping governments and militaries to truly use AI Agents to assist in decision-making.
Highlight: FY 2026 revenue guidance exceeds $7.1 billion. In high-risk (like military, medical) scenarios that require auditing, its AIP platform is irreplaceable.
3. Alphabet/Google (GOOGL) — The Integration King
Advantage: Has everything from TPU chips to Gemini models, to a distribution channel with billions of global users.
Scale: Google Cloud will have an operating scale exceeding $70 billion in 2025, successfully addressing the impact of AI on the traditional search advertising model through enterprise-level AI Agent services.
VI. Key Catalysts in the Second Half of 2026
In the second half of the year, the market will not only price newly listed giants but will also "score" the ROI of AI
Anthropic IPO: Expected to go public in October 2026. The gross profit disclosed in its prospectus for the AI Agent business will directly define the valuation center of the entire SaaS industry.
AI Agent ROI Test: By the end of 2026, if enterprises still cannot significantly improve profit margins through AI Agents, capital expenditures may face cyclical adjustments.
VII. Investment Risk Warning
Current AI investments face three core tests:
- First is the “Monetization Gap”, with a divide between the over $600 billion capital expenditure of ultra-large cloud vendors and the current approximately $25 billion direct AI revenue. If the ROI does not meet expectations, the sector's valuation may face severe corrections;
- Second is regulatory and compliance pressure, as the EU’s Artificial Intelligence Act will gradually commence enforcement starting August 2026, leading to a sharp increase in compliance costs for enterprises;
- Lastly, there is a technical implementation bottleneck; about 62% of enterprises are still cautious about deep deployment due to "model hallucination," and Gartner predicts that about 40% of early AI Agent projects may fail due to a lack of governance.
Investors should be aware of the risks of overdrawn expectations in valuations.
Conservatives focus on NVIDIA or QQQ for certainty; aggressives study Anthropic or Palantir to capture high growth. AI in 2026 is no longer about storytelling, but about which Agent can earn more money.
Data as of April 2026. Sources include: Statista, Cargoson, McKinsey & Company, OpenAI (April 2026 fundraising announcement and data disclosed by CFO Sarah Friar), Anthropic (February 2026 Series G financing and April revenue disclosures), Sacra, SaaStr, Remio AI, Alphabet Inc. (2025 Q4 financial report/Form 8-K), NVIDIA (2026 fiscal year financial report/Form 8-K), Palantir Technologies (2025 Q4 financial report), PIIE (Peterson Institute for International Economics), CNBC, The Next Web, VentureBeat, The National Interest, Gartner, IDC, Joget, Tech-Insider, European Commission, official documents of the Artificial Intelligence Act, Crowell and Moring, AI Daily News.
Disclaimer: This report is for reference only and does not constitute investment advice. Past performance is not indicative of future returns. Investment carries risks, including the possibility of loss of principal. Clients should consult qualified financial advisors before making any investment decisions.
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