Claude’s AI Disruption Is Reshaping Which Industries Win and Lose

The launch of a Claude AI plugin triggered a selloff in enterprise software stocks earlier this week, wiping out nearly $1 trillion.

An illustration of the Anthropic logo on Aug. 1, 2025. Riccardo Milani/Hans Lucas via AFP via Getty Images

Claude, a large language model (LLM) and chatbot developed by Anthropic, is emerging as a disruptive technology reshaping established production processes across multiple sectors, sending shockwaves from Main Street to Wall Street.

On Jan. 30, Anthropic released an artificial intelligence legal tool—designed for tasks across legal, sales, marketing, and data analysis—as part of its Claude Cowork plugins. The launch triggered a widespread selloff in enterprise software stocks earlier this week, wiping out nearly $1 trillion in market value as investors worried AI could pose an existential threat to these traditional software businesses.

The company took another step by releasing a more advanced version, Claude Opus 4.6, on Feb. 5, raising additional concerns.

Sectors Most Affected

“With Claude Cowork’s launch in early 2026, autonomously tasking for business users has reached a new level, automating office work, including contract review, data analysis, marketing campaigns, sales workflows, and HR tasks, to name but a few,” Patrizia Porrini, professor of management at LIU Post, told The Epoch Times.

“The sectors that will be affected the most by AI include retail, finance, and healthcare,” added Izhar Haq, professor of accounting at LIU Post.

In the retail sector, Haq said, AI enables a personalized online shopping experience and customer service, with cost-efficiency unmatched by physical stores. In the finance sector, AI can analyze huge amounts of data to detect fraud, perform data analytics, streamline processes, and automate trading. In the health care sector, predictive analytics and personalized medicine are enabling AI to improve the quality of care while reducing costs, he said.

Niraj Jha, senior director of logistics at Niagara Bottling LLC, sees Claude as a risk to industries that provide what he calls “structured thinking services.”

“For years, companies made money doing research, writing reports, coordinating projects—basically charging for structured thinking,” Jha told The Epoch Times.

“A lot of SaaS [Software-as-a-Service] companies and consulting firms were just packaging up cognitive work and selling it back to you. AI is driving the cost of that stuff toward zero.”

He said that the sectors under the most pressure are those that monetize information processing, including white-collar services, compliance teams, marketing operations, and analytics platforms.

“Anywhere the core product is just organizing or transforming knowledge. AI doesn’t just make these areas more efficient—it kills their pricing power, because now the ‘thinking’ part is baked right into the model,” Jha said.

Sectors Least Affected

By contrast, Jha said industries tied to the physical world—such as manufacturing, logistics, energy, and infrastructure—face far less existential risk.

“Sure, AI helps them optimize, but their value still lives in physical assets and real-world execution. You can’t just prompt your way into running a supply chain or a power grid. Intelligence must get embedded into operations, and that takes time and money. So for these companies, AI is a boost, not an existential threat.”

Chris O’Halloran, founder of Leva Solutions, agrees.

“The bigger story is what’s happening in ‘unsexy’ industries,” he told The Epoch Times.

“Construction, trades, field services—these are trillion-dollar sectors underserved by enterprise software for decades. An electrician doesn’t need another CRM; they need an AI that answers missed calls and books jobs while they’re on a ladder. We’re deploying this now.”

Wall Street is beginning to reflect this shift, with investors rotating out of software companies and reallocating capital to more traditional sectors such as construction and industrial products.

Cloud and Software-as-a-Service (SaaS) companies were hit particularly hard. Atlassian is down more than 40 percent year to date; Figma is down more than 42 percent; Adobe is down more than 23 percent; and Salesforce is down more than 28 percent.

AI CapEx Race

Aiding Wall Street’s concerns about the disruptive forces of Claude and other AI models is the heavy spending by tech giants to keep up with one another in the AI race. In the last two weeks, Meta, Microsoft, and Amazon have announced billions in capital expenditure (CapEx) for AI-related projects.

This CapEx race raises two problems for investors. One of them is the financing problem. CapEx can be financed either internally, reducing free cash flow, or externally through debt issuance.

Both financing methods are bad news for shareholders in the short run. Internal financing reduces the funds available for share buybacks and dividend increases. External financing reduces shareholder equity.

Another problem with the AI CapEx race is that it creates excessive competition in the long run, which pressures profit margins, return on investment (ROI), and economic value.

“What Wall Street is pricing in is the realization that AI doesn’t just create new businesses—it destroys old ones faster than expected,” O’Halloran said.

Porrini said markets are starting to distinguish between optimism about AI and its real-world economic effects.

“The ultimate impact on AI-GDP—the aggregate economic value AI adds or destroys—will depend on how companies negotiate its usage within their existing core competencies. Companies will need to show implementation results and impact on ROI, balancing caution and adoption to remain competitive,” she said.