``` From large models and robots to dating apps: By 2026, the market’s standard for AI pricing will fully shift to return on investment! ```

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As the investment boom in artificial intelligence (AI) enters deeper waters, the narrative logic of Wall Street is undergoing a fundamental shift. According to the latest 2026 Internet Industry Outlook report released by Morgan Stanley, the market's pricing standard for AI technology has shifted from mere expectations of technological breakthroughs to a stringent assessment of return on invested capital (ROIC). Whether computing power can be turned into real revenue and profit has become the sole benchmark determining the valuation of tech stocks.

According to Wind Chasing Trading Desk, the Morgan Stanley analyst team led by Brian Nowak pointed out in the report that the theme of the 2026 market will continue the trend of 2025, namely that funds will focus on companies that can prove GenAI or GPU-driven technologies are bringing substantial returns. This means that only companies showing faster revenue growth, higher user engagement, and increased earnings per share (EPS) and free cash flow (FCF) can obtain premium rewards from the market.

Under this new standard, Morgan Stanley is optimistic about giants such as Amazon, META, and Doordash, which can use AI to achieve efficiency gains and business expansion, and expects hyperscalers (cloud service providers) to see strong growth. On the other hand, in sectors facing disruptive uncertainty from autonomous vehicle (AV) or agentic technologies—such as ride-hailing, online travel, and smaller ad platforms—the market will assign lower valuation multiples.

The report details the "Top Ten Debates" that will reshape the industry landscape in 2026, covering topics such as the evolution of large language models (LLMs), AI applications in the physical and robotics domain, changes in the search landscape, and the revival of dating apps. It paints a panoramic picture for investors of how AI technology is spreading and monetizing in the real economy.

Debate 1: The Big Model "Arms Race" Cools Down, Application Is King

By 2026, the parameters race in cutting-edge models will no longer excite the market. Although we will still see launches of new models such as Grok 5, Claude 5, and GPT-6, investors’ attention will turn entirely to productization and monetization.

Google: The key is how deeply the Gemini model can be integrated into search, YouTube, and cloud services to drive revenue growth.

Meta: The market is watching to see whether Zuckerberg’s “Superintelligence Lab” can produce SOTA (state-of-the-art) models and turn them into ad revenues and user stickiness.

Amazon: AWS growth is already expected, but what's more important is whether AI applications on the retail side (such as the Rufus shopping assistant) can bring real, tangible sales growth.

Debate 2: Where Is GenAI's Return on Invested Capital (ROIC)?

In 2025, the market was still anxious about AI CAPEX; by 2026, the market demands to see returns. Morgan Stanley predicts that 2026 will see a stepwise jump in enterprise adoption rates for GenAI technologies (from single-digit to high double-digit growth).

Cloud giants benefit: Amazon AWS, Google Cloud (GCP), and Microsoft Azure will see stronger-than-expected growth. A surge in order backlogs implies enterprises are migrating workloads at scale to adapt to AI demand.

Diffusion effect: As bottlenecks in electricity and computing power ease, AI technology will spread from tech giants to broader areas of the economy.

Investment inspiration: Look for companies with accelerating cloud business order backlogs—these are leading indicators that ROIC realization is imminent.

Debate 3: Is the Wave of Layoffs Not Over? The Efficiency Dividend Brought by AI

This may be the most brutal but also the most margin-friendly trend. 2026 could be the first year that tech giants use GenAI to sharply improve internal efficiencies, leading to recruitment slowdowns or ongoing layoffs.

Profit release: Morgan Stanley’s models assume that the growth rate of operating expenses (mainly manpower costs) excluding depreciation/advertising at Meta, Amazon, and Google will drop significantly.

Valuation support: If these companies can control manpower costs while growing revenue, EPS and FCF will enjoy huge upside revisions.

This means investors still need to focus on guidance for operating expenses (Opex) at tech giants—efficiency gains are key supports for high valuations.

Debate 4: Agentic Commerce—The Ultimate Form of E-Commerce

AI Agents will thoroughly change the way consumers shop. Morgan Stanley proposes the "5I" framework (Inventory, Infrastructure, Innovation, Incremental, Income Statement) to assess who will win.

Vertical winners: Compared to general-purpose ChatGPT, players with proprietary vertical data and closed transaction loops (such as Amazon, Walmart, Instacart, DoorDash) will benefit first because they enjoy consumer trust and have complete purchasing histories.

OTA crisis: Online travel agents (such as Expedia, Booking) face major risks. If Google or OpenAI launches agents that can directly plan trips and book, OTAs' position as traffic gateways will be weakened and valuation systems reshaped.

Debate 5: The "Singularity" of Autonomous Driving Has Arrived

2026 will be a tipping point for AV availability, with service coverage jumping from 15% of urban populations at the end of 2025 to 32%.

The fate of Uber and Lyft: The market worries that AV will disrupt ride-hailing, but Morgan Stanley believes this is exaggerated. AV will not kill Uber; instead, it will expand the total mobility market by lowering cost per mile.

Key indicators: Focus on the deployment of Waymo and Tesla in harsh conditions (such as snow or airports); these are signs of technical maturity.

Morgan Stanley believes autonomous driving is not the end for ride-hailing, but rather a catalyst for cost optimization. Uber remains Morgan Stanley’s top pick.

Debate 6: Embodied Intelligence—Amazon’s Hidden Trump Card

While many are still discussing chatbots, tech giants have already started laying out “Physical AI”—that is, the integration of AI with robotics and hardware.

Amazon’s robotic warehouses: Amazon plans to add around 40 next-generation robotic warehouses by 2027. This isn’t just automation; it’s about AI optimizing logistics and inventory management. Estimates suggest this could generate over $2–4 billion in recurring cost savings.

Unmanned delivery: Uber and DoorDash are building out ecosystems of drones and autonomous delivery robots, which will directly reduce expensive human delivery costs.

Morgan Stanley believes investors should focus on companies able to solve box-moving and food-delivery issues with AI—real-world efficiency improvements carry stronger moats than virtual chatbots.

Debate 7: The AI Revolution in Online Groceries

The U.S. offline grocery market is as large as $1.4 trillion—AI Agents’ biggest potential goldmine.

High frequency and rigid demand: Grocery shopping is highly tedious and personalized, ideally suited for AI Agent intervention (e.g., "Help me buy from last week’s list, but swap milk for oat milk").

Winner-takes-all: Amazon Fresh, Instacart (CART), and DoorDash (DASH) are in favorable positions. Especially for Amazon, its accelerated push into fresh food and cost reforms could become the next profit growth point.

Debate 8: The Future of Search and ChatGPT’s Ads

Search is not dead—it’s just evolving.

Query volume surge: The emergence of AI search engines has actually expanded the total addressable query market (TAM). Morgan Stanley forecasts that query volume will grow at a 14% CAGR from 2023 to 2026.

Google’s moat: Surveys show that for commercial queries, Google’s Gemini still holds a slight advantage over ChatGPT.

ChatGPT’s ads: As ChatGPT begins running ads, it will first impact less effective, experimental ad budgets (such as Pinterest, Snap), not Google’s core search advertising.

Debate 9: The AI Revolution in Game Production

“World Models” are transforming game development.

Lower cost, higher efficiency: AI-generated video and interactive content will significantly lower the thresholds and costs of game making.

Losers and winners: This trend is long-term positive for giants possessing cloud computing power and AI tools (Amazon, Google), but for tool providers like Unity (U) and Roblox (RBLX), it brings both opportunity and disruption risk.

It’s worth noting that the AI transformation of gaming is still in its early days. Focus on “pick-and-shovel” providers of core computing power and generative tools.

Debate 10: The Redemption of Dating Apps

The online dating industry has seen years of stagnant user growth. 2026 may be the turning point.

AI matchmakers: Apps such as Tinder and Bumble are using GenAI to improve matching algorithms and reduce users’ “swiping fatigue.”

Valuation rebound: The valuations of Tinder’s parent Match Group and Bumble are already extremely low. If AI can successfully enhance user experience and restart growth, both companies could see massive valuation rebounds.

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The above exciting content comes from Wind Chasing Trading Desk.

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Risk Warning and DisclaimerThe market carries risks; investment should be done cautiously. This article does not constitute personal investment advice and does not take into account any user's unique investment objectives, financial situation, or needs. Users should consider whether any opinions, views, or conclusions in this article fit their particular circumstances. Investment based on this article is at your own risk.

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