The tech industry in New York feels oddly quiet on some trade days. The atmosphere has changed, but it’s not exactly quiet—trading floors are still alive with conversation and screens are constantly flickering. Investors who used to pursue any artificial intelligence-related software investment now seem wary, even doubtful. A bear market is typically characterized by this type of mood shift.
The S&P North American Technology Software Index has experienced significant declines over the past year, sometimes losing over 25% of its value. This is due, at least in the opinion of many experts, to an odd concern that artificial intelligence would eventually eliminate the necessity for conventional software.
Key Information About the AI Software Market
| Category | Information |
|---|---|
| Market Condition | Software bear market in 2026 |
| Sector Index | S&P North American Technology Software Index |
| Key Companies | Microsoft and Datadog |
| Estimated Upside | Microsoft ~47%, Datadog ~42% |
| Major Trend | AI-driven transformation of cloud and software industries |
| Key Technology | AI development tools, observability platforms |
| Analyst Outlook | Undervalued due to sector-wide pessimism |
| Reference Website | https://www.nasdaq.com |
This is how the reasoning works. Perhaps businesses won’t require as many developers and software tools if AI can produce code on its own. As they frequently do, investors reacted swiftly and started selling significant shares of the industry. But it’s hard to deny the irony.
The infrastructure driving the AI revolution is being built by many of the same businesses that are being penalized by that story. In fact, some analysts say that Microsoft and Datadog, two significant firms, would stand to gain the most from the change.
You can see how profoundly artificial intelligence now permeates Microsoft’s strategy when you stand outside the company’s expansive Redmond, Washington, headquarters. Engineers debate cloud workloads and machine-learning pipelines as they rush between buildings with computers and coffee cups. It’s difficult to ignore the fact that almost all product lines now have an AI layer. However, market pessimism hasn’t spared the company’s stock.
Microsoft’s stock fell almost 25% from previous highs as it failed to meet several revenue targets related to its Azure cloud platform. That kind of drop usually attracts attention rapidly for a corporation of its size. On the other hand, other analysts see potential.
For businesses creating AI applications, Microsoft’s Azure platform has emerged as a vital entry point. At the moment, it is among the few cloud environments that provide direct access to sophisticated language models created by collaborators such as OpenAI. With this access, companies can create unique AI systems without having to create the underlying infrastructure. In effect, Microsoft has positioned itself as a middle layer of the AI economy.
Additionally, Microsoft 365 Copilot, the company’s AI assistant incorporated into well-known office applications, is rapidly growing. According to reports, the number of paid Copilot seats increased by almost 160% in just one quarter. It’s hard to claim that demand for AI-enabled productivity solutions is slowing down when looking at that adoption curve. However, market mood is still cautious.
Concerns over expenditures are a contributing factor. The cost of building global AI infrastructure, which consists of data centers packed with specialized chips, is enormous. Investors are occasionally concerned that IT companies are overspending in an effort to increase revenues in the future. However, skepticism frequently results in odd discrepancies between reality and perception. Datadog seems to be impacted by the same trend.
Datadog is less noticeable to the typical customer than Microsoft. Its software works silently in the background to assist businesses in keeping an eye on the condition of their cloud and application platforms. It is used by engineers to monitor performance, identify faults, and comprehend how complicated software responds to stress. “Observability” is the name of the category.
Observability tools are becoming more, not less, crucial as AI applications get more complex. When interacting with dozens of cloud services simultaneously, machine-learning systems can produce enormous amounts of data in an unpredictable manner. When software malfunctions, which it always does, businesses require tools to identify the issue as soon as possible. Datadog is an expert in precisely that.
However, investors’ concerns that AI automation would lessen the market for conventional software services caused its stock to decline along with the rest of the software industry. That assumption may turn out to be inaccurate.
AI, according to some observers, will actually make software ecosystems more difficult. Increased automation frequently results in more data pipelines, integrated systems, and possible points of failure. Datadog and other monitoring services could become crucial infrastructure in that setting.
That optimism is reflected in the numbers. Wall Street price estimates show potential upside around 42 percent for Datadog and roughly 47 percent for Microsoft if market sentiment improves. Naturally, forecasting stock fluctuations is never easy.
In the near term, markets frequently exhibit emotional behavior in response to news, unexpected profits, and macroeconomic concerns. For the simple reason that expectations were a little higher, a company may report robust growth but witness a fall in its shares.
Will automation cause the industry to grow or shrink?
Some hints can be found throughout history. Many people thought that cloud computing would lessen the demand for IT services when it initially appeared. Rather, it gave rise to whole new software industry categories. A similar course could be taken by artificial intelligence.
While investors argue over valuation models hundreds of miles away, programmers back in Redmond are still working on new AI capabilities. Regardless of whether investors are optimistic about technology this quarter, it continues to advance.
