Wall Street has been aggressively selling software stocks on fears that artificial intelligence could disrupt traditional business models.
Retail investors are doing the opposite.
As institutional money exits, individual traders are stepping in at near-record levels.
The Setup
S&P Composite 1500 Software & Services Index has dropped almost 20% year-to-date.
Yet retail trading flows into software names are approaching record highs, according to JPMorgan Chase & Co. data.
Most popular retail picks:
Microsoft Corp.
ServiceNow Inc.
AppLovin Corp.
Meanwhile, AI concerns have pressured names like Salesforce Inc. and Adobe Inc..
Even Nvidia Corp. saw record retail dip-buying after its recent pullback.
Money Master Take
This isn’t just about “buying the dip.”
It’s about a clash between structural fear and tactical opportunity.
1️⃣ Retail Is Trading Price Action, Not AI Disruption Risk
Institutional selling is driven by:
Margin compression fears
AI replacing SaaS functions
Valuation reset in high-multiple names
Retail, however, is reacting to:
20% drawdowns
Oversold technical signals
Short-term rebound probability
Key Distinction: Retail is positioning for a bounce. Institutions are repricing long-term earnings durability.
2️⃣ AI Disruption Narrative Is Still Unclear
The “AI scare trade” intensified after warnings about:
Software bankruptcies
AI replacing workflow tools
Narrowing competitive moats
But current sell-offs appear broad and indiscriminate.
This creates:
Compression in high-quality names
Valuation entry points in cash-generative leaders
Not all software companies face equal disruption risk.
3️⃣ Short-Term Setup Favors Tactical Rebound
Multiple weeks of aggressive selling often produce:
Technical exhaustion
Short-covering rallies
Oversold reversals
Retail inflows of US$336 million in early trading indicate strong dip appetite.
Short-term bounce probability is elevated.
4️⃣ Longer-Term Risk Still Exists
Structural questions remain:
Will AI reduce seat-based SaaS pricing power?
Will margins compress permanently?
Are multiples resetting to lower long-term averages?
The uncertainty is not resolved.
Investor Framework
| Time Horizon | Risk | Opportunity |
|---|---|---|
| Short-term | Low technical support | Bounce potential |
| Medium-term | Earnings revision risk | Selective entry |
| Long-term | Business model disruption | Survivors gain share |
Bottom Line
Retail is aggressively buying the AI fear selloff.
Institutions are repricing long-term software economics.
A short-term rebound is increasingly likely.
Long-term stock selection will matter more than sector exposure.

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