AI Market Forecast: Top Trends for AI in 2026

Power as a binding constraint for AI

Power limits are a specter looming above AI expansion heading into 2026.

“Individual campuses are pushing past 1 gigawatt, utilities in key regions are scrambling to add generation and transmission and Big Tech is signing multi-gigawatt nuclear and long-term power deals, including restarts of previously shuttered plants,” explained Mersch. US data center demand is now poised to triple by 2030, thrusting utilities, nuclear operators and grid infrastructure into prime investment orbits.

“Even Google has acknowledged that serving capacity needs to double roughly every six months,” he added.

Alphabet, the parent company of Google, and other hyperscalers became active infrastructure developers in 2025, inking high-profile strategic deals designed to secure 24/7 — and carbon-free — energy for AI data centers.

Google’s deal with Elementl Power in May to provide capital to develop three advanced nuclear sites in the US represents a shift toward nuclear energy that is perhaps the most significant structural change in the AI landscape today, further extending the verticalization narrative into the power grid itself.

The shift toward energy-backed AI is being institutionalized at the highest levels of finance. In late 2025, JPMorgan Chase (NYSE:JPM) launched its US$1.5 trillion Security and Resiliency Initiative, a decade-long plan specifically targeting the intersection of AI, grid infrastructure and nuclear energy.

By earmarking US$10 billion in direct equity for US firms, the initiative effectively underwrites the full-stack transition.

Are AI stocks in a bubble?

The path for AI is moving from building technology to proving its value. While many experts remain optimistic, the transition from deployment to execution introduces new risks that could define the industry’s next winners and losers.

As organizations fully embed AI into their core workflows, the operational stakes are shifting. Infrastructure strategies are diversifying as security-conscious businesses seek more control over their high-value AI workloads.

Leaseweb USA CEO Richard Copeland told INN he anticipates that trusted execution environment technology will enable secure, distributed multi-cloud architectures.

Simultaneously, the rise of agentic AI, which automates full workflows, combined with cost and complexity issues on major hyperscalers, will lead to a trend of cloud repatriation toward regional and bare-metal platforms.

This shift, coupled with the need for better GPU optimization and defense against AI-driven attacks, will push security-conscious businesses to increasingly favor regional cloud providers for stability and tighter security on their high-value AI workloads. In a commentary provided to INN, Roger Brulotte of Leaseweb Canada predicts that mandatory AI adoption will lead to a surge in demand for sovereign cloud solutions and regional infrastructure.

Despite concerns over a potential bubble, the industry will continue to receive massive institutional backing. B2BROKER’s John Murillo rejects the idea of an AI bubble, comparing OpenAI to Edison’s plants amid giants’ resilience.

“The reasons behind every situation are completely different," he told INN.

"In the case of dot-coms, everyone was investing just to invest; it didn’t matter what exactly to choose and some of the projects didn’t have a solid foundation. With AI, it’s not like this. The technology proves its worthiness every day, and it has already swept away many junior analysts," Murillo emphasized.

Nevertheless, high AI valuations risk corrections if adoption disappoints or energy constraints emerge.

The success of the current capex cycle will depend on whether these investments translate into measurable operating leverage and cost savings through the back half of the decade.

“The bubble scenario is very unlikely,” Murillo added. “I think in the current economic situation, there are problems much worse than a potential bubble.”

For example, geopolitical tensions, sticky inflation and US midterm elections could spark volatility, prompting sector rotations away from overvalued mega caps.