Nvidia earnings reality check: Is the AI boom back on track?

Yes - the AI boom is back on track, according to analysts, just in a different gear. Nvidia’s latest earnings didn’t inflate another round of hype; they restored confidence that artificial intelligence is entering its scale phase, not its speculative one. 

Nvidia investors are bracing for a $300 billion surge in market value after the chipmaker reported its first sales acceleration in seven quarters, signalling that AI demand isn’t fading - it’s normalising into a sustainable growth cycle.

For months, markets were haunted by talk of “peak AI.” However, Nvidia’s results - record data centre revenue, renewed partnerships, and a 5% share spike in after-hours trading - show the story isn’t one of collapse, but calibration. This isn’t a bubble bursting; it’s the industry learning how to breathe again.

What’s driving Nvidia’s momentum

At the core of Nvidia’s dominance in artificial intelligence architecture is its data centre segment, which surpassed $50 billion this quarter, a milestone reached earlier than analysts expected. 

This reflects an industrial-scale buildout, not a speculative frenzy. The surge in demand from AI workloads has transformed GPUs from niche products into the backbone of modern computing, powering everything from ChatGPT to enterprise cloud systems.

CEO Jensen Huang captured it best: “We’re in every cloud.” That ubiquity underpins Nvidia’s stability. Its chips are not optional - they’re essential infrastructure. With Blackwell GPUs offering up to 40 times faster inference speeds than the previous generation, the company isn’t chasing hype; it’s engineering the next leap in computational efficiency.

Why it matters

Nvidia’s report acts as a barometer for the AI economy. The stock’s post-earnings rally wasn’t just about profits; it was about validation. The market had priced in fear after days of tech sell-offs, but Nvidia’s blowout numbers reintroduced realism. 

Analysts like Julian Emanuel of Evercore ISI summed up the pre-earnings tension: “The angst around ‘peak AI’ has been palpable.” Those fears evaporated when Nvidia showed that demand isn’t flattening - it’s broadening.

The company’s performance has become closely tied to the trajectory of U.S. equities. With AI now a structural growth driver, Nvidia’s consistency reassures investors that this is an economic revolution in progress, not a fleeting mania. Its $5 trillion valuation last month wasn’t an aberration; it was a preview of scale yet to come.

Impact on global markets

The aftershocks were immediate. Tech indices that had stumbled under the weight of “AI fatigue” rebounded as Nvidia reignited investor faith. Asian markets opened higher, and S&P futures turned positive, driven by renewed conviction that the AI trade still has legs. Even after a period of correction - Meta down 19%, Oracle off 20% - Nvidia’s performance reaffirmed that the long-term AI thesis remains intact.

Beyond markets, Nvidia’s results signal a new capital cycle. Its multibillion-dollar partnerships with Microsoft, OpenAI, and Anthropic aren’t one-off investments; they’re structural commitments to an AI-driven infrastructure era. Every dollar of GPU spending feeds into an ecosystem that’s building capacity for the next generation of models, data centres, and intelligent services.

Expert outlook

Forecasts are being rewritten. McKinsey estimates $7 trillion in AI infrastructure spending by 2030, with $5.2 trillion going toward data centres. According to McKinsey, we will also see significant incremental AI capacity added every year through to 2030. 

Nvidia’s share of that pie could exceed 50%, given its current dominance and design lead. Some analysts even project a $20 trillion market capitalisation by 2030 if the company maintains its pace of innovation.

Still, this is not a frictionless ascent. Export restrictions to China and the rise of custom silicon from rivals like AMD and Google pose challenges. Yet Nvidia’s edge isn’t just its hardware - it’s the CUDA software ecosystem, which locks developers and enterprises into its platform. As long as AI workloads require versatility and performance across models and frameworks, Nvidia’s moat will hold.

Nvidia technical analysis

At the time of writing, Nvidia’s stock (NVDA) is hovering around $186, showing early signs of recovery after a short-term pullback. The RSI is rising sharply from the midline near 50, indicating that bullish momentum may be building as buying pressure intensifies.

Meanwhile, the Bollinger Bands are starting to narrow slightly, signalling a potential volatility squeeze that could precede a directional breakout. The price is currently positioned around the middle band, indicating a balance between buying and selling forces.

On the downside, support levels lie at $180 and $168. A drop below $180 may trigger further selling or stop-loss liquidations, while a break under $168 could confirm a deeper correction. On the upside, the key resistance sits at $208, where profit-taking and fresh buying activity are likely to intensify if the price breaks above it.

Key takeaway

Nvidia’s potential $300bn surge isn’t a sign of euphoria - it’s a reality check for those betting on an AI crash. The company’s results confirm that artificial intelligence has moved beyond the phase of promise into proof. As capital shifts from prototypes to platforms, the question isn’t whether AI will endure - it’s how fast it will reshape every market it touches. For now, Nvidia remains the pulse of that transformation.

For traders navigating that transformation, platforms like Deriv MT5 offer exposure to the tech rally’s next phase - while tools such as the Deriv trading calculator provide the precision to manage risk as the AI-driven market matures.