Leading AI players: which companies are driving market moves in 2025

Read on to discover:

• Which sector giants are making analysts nervous
• Which niche AI sectors are outperforming the wider market
• Why analysts can’t agree on the scale of AI impact
• Why one founder’s recent comments don’t align with his own investment strategy

There are two metrics that tell a compelling story about the direction of travel for AI: private investment and business usage. In 2024, U.S. private investment in AI hit $109 billion, dwarfing China’s $9.3 billion and the UK’s $4.5 billion. Globally, investment in generative AI increased 18.7% compared to 2023^[1].

Business adoption is accelerating too. 78% of businesses reported using AI in 2024, a 55% increase on usage the previous year. AI is growing: its capacity to boost productivity, reduce skills gaps and solve problems are becoming inescapably obvious^[1].

Experts are split on the scale of impact. The International Monetary Fund (IMF)^[2] predicts that AI will affect 4 in 10 jobs around the world and Goldman Sachs analysts say it’s on track to increase global GDP by $7 trillion, roughly 7%, over 10 years. Other experts are more conservative. While acknowledging AI’s potential for economic growth, MIT Institute Professor Daron Acemoglu^[2] reckons a 1% GDP boost is more realistic. Even the more pessimistic projections concede that AI is revolutionary.

Growth is inevitable. And for traders and investors, it’s not necessarily about predicting the scale of growth globally over the long term but identifying the areas of the economy where that growth will be concentrated in the short to medium term.

A relatively safe starting point in that regard is understanding the AI growth is not concentrated solely with the first movers and tech powerhouses. There’s value to be derived from infrastructure, energy and legacy businesses making smart implementation choices.

The powerhouses

Alphabet, IBM, Microsoft, Meta, Amazon and OpenAI are among the biggest AI movers, due to their size and capacity for implementation. Looking at the elite tier of the AI landscape, we can see mixed fortunes.

For example, as of August 2025, Alphabet’s stock is at an historical high^[3].

But does that mean it’s overpriced?

Not necessarily. Until recently, analysts were actually quite bearish on Alphabet due to the risk it faces from AI damaging its search business. AI risk has arguably been priced in and now Google’s parent company is proving itself unusual in that it’s both an AI powerhouse, but also a smart implementor of AI into various parts of its core products.

The outlook for IBM may not be as rosy. On the back of a strong year buoyed by demand for its cloud and AI solutions^[4], it was announced in August 2025 that it had partnered with Advanced Micro Devices (AMD) on developing quantum computing technology. Both saw an immediate boost in stock price.

Yet analysts remain concerned about hype-driven price inflation. Despite IBM being one of the first movers in AI with their Watson platform for business, reliance on their consulting model for AI adoption is seen as a barrier for improving on what has been modest recent growth.

Palantir is another story entirely. Intertwined with defence, military and intelligence, its AI platform has proven invaluable to organisations with potentially limitless budgets for innovation. Over the past year its share price has soared 410%^[5].

Some analysts warn of a bubble. Are they justified?

OpenAI founder Sam Altman thinks so, telling the media he thinks investors are overexcited. But his own company’s behaviour tells a slightly different story, committing to trillions of dollars’ worth of investment into data centre builds.

The mid-cap disruptors

Away from the AI giants, there’s more headroom for the kind of growth that gets traders and investors interested. Innovation is less constrained and paths to market less cluttered with regulatory hurdles.

Take Quantum Computing Inc, a mid-cap ($2.6 billion) developer of quantum computers and semiconductors. It’s ideally positioned to lead the charge on the next generation of quantum computing innovation. In the past year, its stock is up 2,339.39%^[6] making it the best performing AI stock of the past 12 months.

Hut 8 is another good example. This mid-cap ($2.75 billion) is integral to the energy infrastructure required for high-performance computing in North America. It hosts data centres, managed services and provides software automation. Stock is up 155.39% in the past 12 months^[7].

It’s not just about building AI software and providing infrastructure. The means by which AI is implemented into our everyday lives matters to the economy too. Cerence Inc is a great example. It’s a small-cap ($453 million) software firm providing white-labelled AI assistance platforms to the automotive industry.

If you can imagine a future where new cars come with AI assistants as standard, you’ll understand the potential. And despite the muted revenues reported in summer 2025, its share price has grown 207% in the past year^[8].

Anticipating demand and backing the firms that can meet it

When looking for good value growth picks in a noisy market, pay attention to where the next wave of demand is coming from and think about a company’s capacity to respond. For example, right now Nvidia is responding to demand for chips to train and run AI models. CrowdStrike stands by to react as AI drives more automation in security. And Arista Networks will be preparing to react to the need for its network switches that are crucial to data centres accessing more bandwidth.

The bottom line

Regardless of industry or business type, AI is changing how things work and the opportunities are beginning to intersect. There are opportunities everywhere, but the risks are higher. As an emerging sector, AI doesn’t have the depth of historical data to help us confidently identify natural market cycles. So disciplined selection is key to identifying growth opportunities and diversification is a must.