Goldman Sachs signals serious turnaround as software stocks rebound


Software stocks face an increasingly strong calculus Wall Street rethink how artificial intelligence affects the industry.

Goldman Sachs is the last to offer a reality check, suggesting that the software’s calculation is not yet finished, although short selling seems overdone and some investors go bargain basement purchaseincluded Bank of America

In a research note shared with me, Goldman Sachs analysts said Wall Street investors are transforming AIit’s the limitless opportunity for a “show me the money” style mentality.

It’s a big and potentially serious change for the software industry and shareholders.

Where the rubber will hit the proverbial road will be in what happens next to revenue and earnings growth; Software stocks, in particular, may see a significant re-rating of revenue and profit estimates as they come under the crosshairs of agent AI.

Having had a front row seat to the Internet Boom and Bust and paying a hefty tuition in the process, I’ve seen changes like this before. When markets sour on highly valued stocks, the recovery can be long and painful. But it doesn’t happen in a straight line.

Here’s why Goldman Sachs says software stocks are under control, and why Bank of America thinks investors should watch out for four oversold software stocks.

Software stocks soared for years with the growing adoption of hybrid networks and clouds, requiring solutions that could work across silos and a shift to subscription models that provided recurring high-margin revenue predictability.

The rise of AI challenges the idea that businesses and government must rely on many specialized software vendors.

Agentic AI is reshaping Wall Street's outlook for the software industry.A
Agentic AI is reshaping Wall Street’s outlook for the software industry.A · A

Agent AI applications are evolving rapidly and many argue that they will eventually replace many programmers, giving companies more flexibility to build and manage their own software solutions in-house.

  • The “SaaS Apocalypse”: Software as a Service (SaaS) is historically based on human interaction with interfaces (UI). If AI agents perform tasks via APIs or background processes, the benefits of expensive front-end software subscriptions disappear.

  • Mercantilization of the characteristics: AI agents can “bring together” simple tools to solve complex problems, eroding the high-value “moats” of specialized software companies.

  • Switch to “Results as a Service”: If an agent completes a task in seconds that used to take man-hours, companies can no longer justify charging based on “user access” and “per-seat” licensing.



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