Key Points
- The software sector, as measured by the iShares Expanded Tech-Software Sector ETF (IGV), fell 4.6% on Tuesday night (Singapore time), extending year-to-date losses to 17%, making it one of the worst-performing US subsectors this year.
- The core concern is moat erosion over time. As AI coding and agentic tools reduce development friction, switching costs may gradually fall and competitive intensity may rise, compressing long-term pricing power for some incumbents.
- AI is more likely to reshape rather than eliminate the software sector, transforming how software is built, sold and used instead of rendering incumbents obsolete overnight. Many software companies are already integrating AI into their platforms.
- Selective on software. Many high-quality software companies are now trading at a steep discount despite resilient earnings growth.
- Reiterate our “Buy” call on the digital economy sector. Fundamentals of index heavyweights remain intact, with recent earnings supporting revenue and margin resilience.
What Happened
The software sector, as measured by the iShares Expanded Tech-Software Sector ETF (IGV), fell 4.6% on Tuesday night (Singapore time), extending year-to-date losses to 17%, making it one of the worst-performing US subsectors this year.
The move followed Anthropic’s launch of plug-ins for its Claude “Coworker” agent, raising fresh concerns over AI-driven automation across knowledge-intensive software categories. This move sparked concerns over potential AI-driven disruption across the data and professional services industries.
As a result, Toronto-based Thomson Reuters, which owns the Westlaw legal database, slumped nearly 18%, while Britain’s RELX and the Netherlands’ Wolters Kluwer—both providers of legal analytics services—fell 14% and around 13%, respectively. Advertising companies were also under pressure: New York-based Omnicom declined 11.2% at the close, while France’s Publicis shares plunged over 9% following its earnings results. These developments were consistent with our earlier “Neutral” call on the software segment.
Read More: Software: Selectivity Required
Reasons behind the fallout
1) Valuation de-rating. Following the 2022 sell-off, software valuations rebounded as rate expectations turned more supportive in 2024. However, enterprise software spending growth did not re-accelerate meaningfully, reinforcing concerns that multiples had moved ahead of fundamentals..
2) AI disruption. Recent advances in agentic AI have highlighted the potential for workflow automation at materially lower marginal cost, challenging long-duration SaaS pricing assumptions.
|
AI Advancement / Product |
Disrupted / Impacted Software Industry |
|
Claude “Coworker” / Agentic AI |
Professional services, data analytics, knowledge work software |
|
Sora / “Nano Banana” (text-to-video & multimodal gen AI) |
Design, creative, and media software |
|
GitHub Copilot / AI coding agents |
Developer tools & software engineering platforms |
How AI disrupts the software industry
As mentioned in our previous article, AI is disrupting SaaS companies by shifting value from static, subscription-based software toward dynamic, intelligent systems that can reason, automate, and act on behalf of users. Traditional SaaS products rely on predefined workflows and manual inputs, but AI-enabled platforms can generate insights, write code, execute tasks, and continuously improve with data, reducing the need for multiple point solutions.
Why, then, is the market punishing the software industry despite the fact that AI software models have yet to demonstrate a large-scale enterprise replacement use case?
The core concern is moat erosion over time.
In the past, software developers have been one of the software companies’ strongest MOAT, but advances in AI—particularly tools such as Anthropic’s Claude Code and OpenAI’s Codex—enable developers to write code far more quickly, reducing differentiation and dampening pricing power.
As AI coding and agentic tools reduce development friction, switching costs may gradually fall and competitive intensity may rise, compressing long-term pricing power for some incumbents.
The sell-off appears overdone, opening a window for bargain hunting
While AI-related disruption risks are real, we believe the current sell-off is overdone, creating opportunities to accumulate high-quality software companies.
High Switching Cost: For corporate customers, switching from established software platforms to standalone AI models entails high practical switching costs, even if AI tools appear cheaper or more capable. Enterprise software is deeply embedded in workflows, data architectures, compliance processes and employee habits—often developed over many years through customisation, integrations and governance frameworks.
Replacing these systems would require data migration, model training and fine-tuning, security validation, regulatory approval and large-scale retraining, all while risking operational disruption.
Reshape; Not Eliminate: AI is more likely to reshape rather than eliminate the software sector, transforming how software is built, sold and used instead of rendering incumbents obsolete overnight. Many software companies are already integrating AI into their platforms.
For example, ServiceNow’s Now Assist has surpassed USD 600 million in net new annual contract value (ACV) and is tracking towards a USD 1 billion run rate by 2026, becoming a meaningful driver of subscription revenue. Salesforce’s Agentforce and related platforms have also reported a 120% year-on-year increase in ARR from its Data Cloud + AI segment.
Room for valuation re-rating: Following the sell-off, the software sector, as measured by IGV, is trading at 32x forward P/E and 17.1x 2028 forward P/E, representing a meaningful discount to its historical average forward P/E of 38x, despite expectations of double-digit earnings growth.
While some de-rating is warranted given AI uncertainty, we estimate a more conservative fair multiple of 30x, similar to the fair P/E for broader digital economy sector.
Upside will ultimately depend more on earnings durability than multiple re-expansion alone. All this, still implies upside potential of around 75% by 2028.
Table 1: Valuation for iShares Expanded Tech-Software Sector ETF
|
|
2025 |
2026F |
2027F |
2028F |
|
Price/Earnings |
38.07 |
20.56 |
20.33 |
17.14 |
|
Sales |
105.45 |
125.13 |
143.61 |
164.96 |
|
Growth (YoY) |
13.21 |
18.66 |
14.78 |
14.86 |
|
Earnings |
26.91 |
40.24 |
40.69 |
48.28 |
|
Growth (YoY) |
13.93 |
49.56 |
1.12 |
18.64 |
|
Fair P/E |
|
|
|
30 |
|
Upside Potential |
|
|
|
75% |
|
Target Price |
|
|
|
138 |
|
Source: Bloomberg Finance L.P., iFAST compilations. Data as of 4 Feb 2026. |
||||
Our View – Selective on Software
While AI disruption risks are valid, many high-quality software companies are now trading at a steep discount despite resilient earnings growth.
We view the current sell off as primarily sentiment-driven rather than fundamental deterioration, creating selective opportunity in durable profit leaders.
It is also important to note that as current focus of the market have shifted to AI infrastructure beneficiaries and sectors outside of digital economy, short-term volatility is likely to persist and software valuations may remain compressed for longer, required disciplined rsizing and selectivity.
Digital Economy (Buy): The broader digital economy sector has also been affected by the recent sell-off. However, fundamentals of index heavyweights remain intact, with recent earnings supporting revenue and margin resilience.
As such, we reiterate our “Buy” call on the digital economy sector.
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