$MTSI earnings transcript:
"Customers are coming to us with urgency due to the general supply shortage of indium phosphide DFB lasers"
Emphasis on "Urgency", CW "DFB lasers", "coming to us".
CW DFB names, such as like $SIVE and $LITE should be happy to hear about this laser bottleneck getting validated.
The next trillion dollar opportunity in stocks isn't building AI. It's FIXING it.
McKinsey just surveyed 496 companies. These companies are spending billions on
• Fixing AI inaccuracy. Up 14 points from last year.
• Fighting AI cybersecurity threats. Up 6 points.
AI is being deployed everywhere. But it hallucinates, it gets hacked, and it makes mistakes that cost real money. The companies solving this will print.
1. AI Inaccuracy - every enterprise deploying AI needs this fixed. Wrong outputs, bad decisions, compliance failures. One hallucination in healthcare or finance can cost millions. Every company using AI is now a buyer of accuracy tools.
Companies like $PLTR, $SNOW, $MDB, $DDOG, $ESTC, $CFLT, $BRZE and $AUR are trying to fix AI inaccuracies. Platform plays like $MSFT and $GOOGL are also embedding accuracy guardrails directly into Azure AI and Vertex. Every enterprise using their cloud is a customer.
2. AI Cybersecurity - every AI agent deployed is a new attack surface.
Every model is a new vulnerability. Every data pipeline is a new target. Companies can't deploy AI without securing it
first.
Cybersecurity companies like $CRWD, $PANW, $ZS, $FTNT, $S, $VRNS, $TENB, $RPD are the pure plays. And security infrastructure like $ANET, $AKAM are also applying security at scale.
88% of companies are deploying AI. Most haven't solved accuracy or security yet.