Why does the Nasdaq‑100 benefit if AI productivity is patchy in macro data?

Even if AI macro data stay muted, leaders can post firm-level productivity gains that lift margins and earnings. Investors often pay for those micro wins, keeping demand in AI-heavy indices. The key is dispersion: capital rotates toward companies proving output per worker and durable AI attach rates.

What should UK investors track to validate AI productivity claims?

Track revenue per employee, gross margin stability, and operating leverage. Look for AI-driven products with clear pricing and strong renewal rates. On calls, seek detail on inference costs and customer productivity outcomes. If metrics improve for two to three quarters, the AI productivity story is gaining traction.

Is the services sector selloff overdone?

It depends on pricing power and mix. Firms tied to billable hours face pressure if clients use AI to reduce scope. Companies that package repeatable, software-like services may fare better. Watch utilisation, effective rates, and backlog quality. Stabilisation needs evidence of new, AI-enabled offerings with better margins.

How can UK investors manage USD risk while holding Nasdaq‑100 exposure?

Consider partial currency hedging or staggered buys to smooth FX swings. Match investment horizon and hedge ratio to your risk tolerance. Review sterling trends before adding. Keep position sizes moderate given current volatility, and rebalance regularly so US tech exposure does not dominate your overall portfolio.

Global Market Insights

^NDX Today, February 15: AI Productivity Debate Shifts Sector Bets

ByHuzaifa Zahoor February 15, 2026February 15, 2026

AI productivity is back in focus today as markets weigh fast adoption stories against slow AI macro data. The split is pushing investors to reprice service-heavy names and favour labour-enhancing AI vendors. That makes the Nasdaq‑100, tracked by ^NDX, a key barometer for UK investors with US tech exposure. We review what the latest signals say, which sectors are vulnerable, and how to position ahead of earnings and guidance updates that will test the productivity thesis over the coming weeks.