Why Anthropic’s Claude Cowork sparked $300 billion tech market sell-off this month - see which sectors are winning and losing amid AI boom

Anthropic Claude Cowork: A sudden jolt rippled through the technology sector in early February 2026, when nearly $300 billion in market value vanished in about a single trading day, forcing investors to rethink where value truly sits in the age of artificial intelligence.

Anthropic’s Claude Cowork sparks fear of AI replacing software

The sharp adjustment was concentrated in software, data services, and IT outsourcing stocks, and it followed the launch of Anthropic’s Claude Cowork, a set of open-source plugins that allow AI agents to complete tasks autonomously from start to finish. In demonstrations, the system independently conducted legal research and prepared filings, working from raw inputs rather than inside traditional software workflows.

That moment shifted how markets view AI. Instead of seeing it mainly as a productivity tool layered onto existing software, investors began treating it as a potential replacement for entire categories of software and services. The speed and scale of the sell-off reflected how quickly that change in perception was priced in.


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Anthropic Impact: Salesforce, Adobe, and ServiceNow hit as seat-based pricing questioned

Some of the first pressure showed up in seat-based SaaS companies. Shares of Salesforce, ServiceNow, and Adobe fell between 6% and 8% as investors questioned how per-user pricing models hold up if AI agents allow one person to do the work of many, as per a report.

IT outsourcing firms face pressure as AI automates routine work

IT services and outsourcing firms were also hit hard. Indian companies such as Infosys and TCS, which rely on billing hours for manual data work and entry-level coding, saw sharp declines as those tasks are precisely the areas Claude Cowork’s autonomous plugins appear able to automate, as per a Forbes report.

Legal and data service stocks slide on autonomous AI concerns

High-margin data and legal service providers experienced even steeper drops. Stocks like Thomson Reuters and LegalZoom slid 15% to 20% as markets priced in the risk that AI agents could handle legal research, drafting, and triage.

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Why proprietary datasets still hold long-term value

At the same time, investors continued to recognize that much of the value in these businesses comes from proprietary, licensed, and continuously updated datasets that are difficult for large language models to replicate.

Shift from software subscriptions to outcome-based pricing models

The sell-off did not suggest that software itself is disappearing, but it did highlight how business models may be changing. The traditional subscription-per-seat approach looks increasingly vulnerable as AI agents take on more work directly. Newer companies such as Palantir and Harvey are already experimenting with outcome-based billing, charging for completed tasks rather than access to tools, as per the Forbes report.

For users, this could mean software becomes less visible. Instead of logging into multiple platforms, people may simply describe a goal while an AI agent navigates systems, tools, and data to deliver the result.

Nvidia emerges as a key beneficiary of agentic AI workloads

As some parts of software struggled, other areas emerged as potential winners. Semiconductor companies like Nvidia drew attention because autonomous agents require far more computing power than basic text generation. Reasoning-heavy workloads increase demand for high-performance accelerators, and Nvidia’s Rubin platform was built with these agentic tasks in mind.

Model developers such as Anthropic and OpenAI also sit in a strong position. When a single agent can replace multiple software tools by completing tasks end to end, value concentrates at the model level. Pricing shifts from access to software toward successful outcomes, giving model builders greater leverage.

Cloud providers Amazon and Google gain from always-on AI agents

Cloud providers including Amazon and Google stand to benefit as well. Autonomous agents operate continuously rather than sporadically, driving higher demand for compute, storage, and power. In this environment, companies that control data centers, energy access, and infrastructure begin to look like landlords of an always-on agent economy.

Physical-world AI attracts investors after software valuation reset

Some investors are also looking beyond pure software. The reset in valuations has renewed interest in physical-world AI, where intelligence must be paired with machines that operate in the real world. Tesla’s stock has increasingly diverged from traditional software names as it is viewed more as a play on robotics and autonomous mobility through projects like Optimus and Cybercab.

FAQs

Who benefits from AI agents?

Chipmakers like Nvidia and cloud providers like Amazon and Google stand to gain.

What is Claude Cowork?

It’s a set of open-source plugins that let AI agents autonomously handle complex tasks from raw inputs.