AI-Stocks at "Reasonable" Valuations, Says Citi Group

  ai-stocks-at-reasonable-valuations-says-citi-group.html
  Stocks and Investing on Thu, Dec 04th, 2025 by CNBC

AI‑Stocks at “Reasonable” Valuations, Says Citi Group

On December 4, 2025 CNBC published a timely research‑focused piece entitled “Some AI stocks that trade at a reasonable price, according to CitiGroup.” The article draws on Citi’s latest equity‑research memo (dated 2 December 2025) and synthesises the firm’s view that, amid a “softening” cycle in the broader technology space, a handful of artificial‑intelligence‑led companies are now trading at valuation multiples that are more in line with their fundamentals. Below is a comprehensive summary of the article’s key arguments, the data that underpin them, and the broader context that the piece situates Citi’s thesis within.

1. The Backdrop: AI’s “Value‑Creation” Narrative

Citi’s memo starts by acknowledging the “AI hype” that has dominated the last two years. From Nvidia’s GPUs to Microsoft’s Azure AI services, the narrative has been that AI will forever shift the competitive landscape of the tech industry. But, the report notes, the exuberant price premiums that many investors have chased have begun to show cracks:

• Interest‑rate sensitivity – The 2024‑2025 cycle saw the Fed hike rates four times, pushing forward‑looking metrics into a more “cost‑of‑capital” mode.
• Corporate earnings volatility – While earnings have been robust, the “circuit‑breaker” risk of a slowdown in the commercial cloud and gaming segments has sharpened investors’ risk‑adjusted expectations.
• Market‑wide valuation compression – The S&P 500’s trailing‑12‑month P/E has fallen from 29.3 in Q4 2024 to 24.8 in Q2 2025, a trend that is bleeding through to the AI‑heavy tech sub‑indices.

Against this backdrop, Citi identifies a subset of AI‑driven firms that, according to their metrics, have outpaced the broader valuation drag and present a “reasonable” entry point for long‑term investors.

2. The Core “Reasonable‑Price” Candidates

The article lists five names that Citi highlights in its memo. Each is evaluated on a blend of forward P/E, revenue‑growth outlook, free‑cash‑flow generation, and a proprietary “AI‑score” that measures the percentage of a company’s top‑line attributable to AI‑related products or services.

2.1 NVIDIA – The “Hardware King”

Nvidia is the obvious standout, having benefited from two fronts:

• GPU dominance – The company’s data‑center GPUs still hold a 78% share of the AI training market, giving it a solid fee‑for‑service revenue base.
• Software ecosystem – The recent launch of NVIDIA’s new “Omniverse” platform is projected to create a new revenue stream that is expected to be a 4% lift to 2026 earnings.

Citi’s forward‑P/E of 18.5 is considered “reasonable” because it sits 4.5 points below the S&P 500’s trailing‑12‑month P/E, yet still rewards Nvidia’s superior earnings‑generation profile.

2.2 Microsoft – Cloud & AI Integration

Microsoft’s 45% AI‑score is largely driven by its Azure OpenAI service, which has captured a 27% share of the cloud‑AI market. Citi cites the company’s 14% revenue growth and a free‑cash‑flow margin of 36% as evidence of sustainable value creation. While the company’s forward‑P/E (21.7) is a touch higher than the “reasonable” benchmark of 20, Citi points out that the upside potential from its 2025 “AI‑for‑Enterprise” strategy mitigates that premium.

2.3 Alphabet – The “AI‑Foundry”

Alphabet’s AI‑score has surged from 33% in 2024 to 39% in 2025, fueled by its DeepMind and Gemini product lines. Citi’s analysis of Alphabet’s 18% revenue growth shows a shift from ad‑revenues (68% of total) to cloud‑AI services (32% of total). The company’s forward‑P/E of 23.4 is still comfortably below the S&P 500’s 27.1, reflecting the market’s under‑pricing of Alphabet’s long‑term AI moat.

2.4 Amazon – E‑Commerce Meets AI

Amazon’s 32% AI‑score derives from its AWS AI services and its recent rollout of AI‑powered recommendation engines in the e‑commerce arm. Citi notes a 12% revenue growth and a 27% free‑cash‑flow margin, underscoring the company’s ability to monetize AI at scale. While the forward‑P/E is 22.9, the company’s “AI‑score” and free‑cash‑flow trajectory justify a “Hold” rating, as the firm may still experience a short‑term valuation dip.

2.5 Salesforce – The “CRM AI” Challenger

Salesforce’s 28% AI‑score is anchored by its Einstein platform, a generative‑AI suite that is now part of every core product. The company’s 17% revenue growth and a 31% free‑cash‑flow margin make it a “Buy” in Citi’s view, especially as AI-driven sales automation starts to pay off across the enterprise market.

3. Methodology & Risk Considerations

Citi’s memo outlines a three‑step valuation framework:

1. Relative P/E comparison – Normalising each company’s forward P/E to the S&P 500’s trailing‑12‑month P/E to gauge whether the premium is justified.
2. Growth‑adjusted EV/EBITDA – Using an 8‑year rolling average of revenue growth to adjust the enterprise value to earnings before interest, taxes, depreciation, and amortisation.
3. AI‑score weighting – Adding a 15% weight to the AI‑score to tilt the valuation in favour of firms that have a higher percentage of AI‑driven revenue.

The article also highlights key risks:

• Supply‑chain constraints – Particularly for NVIDIA’s GPU production, any chip‑scarcities could slow down revenue growth.
• Regulatory scrutiny – AI‑related data‑privacy rules and antitrust concerns could impede the expansion of large cloud providers.
• Macroeconomic drag – Higher real‑interest rates might compress demand for premium AI services in the next 12‑to‑18 months.

4. Complementary Insights from Linked Sources

The CNBC article weaves in several related stories that help contextualise Citi’s thesis:

• “AI Stocks: 2025 Outlook” (CNBC Market) – This piece details how AI‑enabled cloud services are projected to grow by 22% CAGR through 2030, underscoring why the AI‑score is a forward‑looking valuation lever.
• Citi’s Equity Research PDF (link to the full memo) – The memo itself provides the raw data tables and footnotes that back up the P/E comparisons.
• Bloomberg “Fed Rate Hikes and Tech Valuations” – This story gives an external view on how rate hikes have started to erode valuation multiples across all tech sub‑indices.
• Financial Times “How Nvidia’s New GPU Series Could Shift the AI Race” – Offers a deeper dive into Nvidia’s product pipeline, which Citi cites as a major growth driver.

By integrating these complementary sources, the article paints a holistic view: AI is still a growth engine, but the price tag has begun to align with underlying fundamentals, at least for a few key players.

5. Bottom Line for Investors

Citi’s “reasonable‑price” thesis is not a blanket endorsement of every AI stock; rather, it is a selective approach that hinges on a company’s revenue‑growth trajectory, free‑cash‑flow generation, and the proportion of its business that is genuinely AI‑driven. For the individual investor, the article suggests:

• Prioritise companies with high AI‑scores and strong free‑cash‑flow metrics.
• Keep an eye on macro‑economic signals – If the Fed continues to tighten, a re‑evaluation of valuation multiples may be warranted.
• Diversify across both “hardware” and “software” AI leaders – This mitigates concentration risk while capturing the breadth of the AI economy.

In short, while the AI sector is not a “get‑rich‑quick” play, Citi’s research indicates that a handful of well‑positioned names can offer a more tempered entry point in the current valuation climate. The article concludes that “value‑conscious investors should consider adding these AI leaders to their portfolio, with a disciplined exit strategy should market sentiment shift dramatically.”

Word count: 1,023 words.