Phenomenon and Business Fundamentals

CITIC Securities research report explicitly points out: since 2026, internet sector valuations have retreated to historical lows. What crushed valuations wasn't a single bullet but three knives falling simultaneously—AI narrative divergence, major internet companies reentering high-investment phase compressing short-term profits, and geopolitical tensions triggering capital flight. The compound effect: even if your business is still profitable, the market may halve your valuation. This isn't market volatility—it's the capital market re-voting on "which companies will survive the AI wave."

Dimension Analogy: Lessons from the Container Revolution

In the 1960s, containers replaced bulk cargo handling. During the first decade, port throughput data was chaotic, and traditional port company valuations fluctuated violently—some saw efficiency gains, others saw social risks from worker layoffs. The result? Ports that completed infrastructure standardization early captured three decades of dividends; procrastinators were completely marginalized. Today's AI impact on the internet industry is identical: accounting losses during the investment phase terrify the market, but the true watershed is—who first converts AI capabilities into reportable revenue? The core logic of this analogy: during technology infrastructure transitions, valuations must fall first, and early capability adopters strike later.

Industry Restructuring and Endgame Projection

Using Andy Grove's "strategic inflection point" framework, this sector sits within the turning point zone. CITIC Securities provides clear screening criteria: low valuation + high earnings certainty + robust cash flow + strong shareholder returns, while also considering model capability iteration and Agent deployment delivery. Translating into business language:

  • Winner Profile: Companies with genuine cash flow AND AI products already generating revenue. Walking on two legs provides the strongest risk resistance.
  • Danger Zone: Companies propped up by "AI stories" but迟迟无营收兑现 (delivering no revenue despite repeated promises), first to be dumped when liquidity tightens.
  • Exit Timeline: According to public information, most institutions believe 2026 is a critical year for AI commercialization validation. Targets failing to demonstrate revenue conversion within the year will face secondary valuation slaughter.

For regional internet service providers with annual revenue below 50 million yuan: your clients (major factories) are concentrating budgets on AI infrastructure. Budget for outsourced edge business will only contract, not expand.

Two Paths for Executives

Path One: Preserve Cash Flow, Await Valuation Recovery. Stop unnecessary expansion investments, raise free cash flow ratio to levels sustaining 18 months. Use this time to observe which AI tools genuinely lower your unit operating costs, then decide. Step One: This month, create a cash flow stress test table.

Path Two: Bet on AI Catalysis, Proactively Shift Narrative. Select a specific business scenario (customer service, content production, data analysis—choose one), run a quantifiable cost-reduction case within 90 days, and retell your business story with real data. Step One: Designate one department, sign a quarterly trial contract for an AI tool.

Both paths require decision-making. The only wrong option is: wait and see.