Jefferies: the market is only entering the AI transformation, while tech is already lifting the S&P 500

The technology sector set the tone in the American market again, but at Jefferies, they believe this is only the beginning of a deeper restructuring. According to Lori Goodman, the story of AI's impact on companies and asset valuations is far from its mature stage.

Technology drives the index

On Bloomberg, Goodman linked the market's positive close primarily to technology stocks. According to her assessment, they remain the main locomotive driving movement within the S&P 500, because investors see in them the most direct bet on AI. When the market needs a clear growth driver, capital usually flows to where it's easier to explain future revenue and margin expansion.

Currently, chip manufacturers, cloud platforms, and corporate software suppliers—credited with a key role in the new wave of automation—operate with this logic. It's important to note that we're no longer talking only about speculation around a few prominent names. The market is looking wider: from data center infrastructure to applied services, companies are getting a chance to embed themselves in a unified AI spending chain.

Even if the effect is only partially visible in financial reports, investors are ready to factor future business process restructuring into prices. This is exactly why tech sector leadership is perceived not as a temporary spike in interest, but as a bet on the foundation of the next investment cycle.

AI is still at the beginning

Goodman's main thesis is simple: we're still in the early stage of AI disruption. That is, the market has already started to revalue the future role of technology, but the business transformation itself is only unfolding. Companies are still testing where generative AI delivers measurable returns, how quickly investments pay off, and which processes make sense to automate first. In Jefferies' logic, current growth in tech stocks is not the last stage of overheating, but an early phase of a long cycle, where winners have not yet been determined. In practice, this scenario could develop in several directions:

"We're still at the beginning of the AI disruption story."

• growth in chip, cloud, and data center spending
• revision of back-office and customer service costs
• pressure on companies that are slow to implement automation
• emergence of new winners outside the largest tech giants

This perspective shifts focus from daily price fluctuations to the question of how long the effect will last. If AI truly changes the structure of productivity, the main competition will not be for one strong quarter, but for companies' ability to implement tools over years without explosive cost growth. The winners won't be just model developers. A significant premium could also go to those who manage to turn AI into faster sales, cheaper operations, better service, and more accurate internal analytics.

Private markets are struggling

At the same time, Jefferies is not ignoring more complex zones of the financial market. Goodman specifically pointed out the persistent problems in private markets, including private credit. The picture here is far less transparent than in the public tech sector: liquidity is lower, deals are revalued more slowly, and investor sentiment is not reflected in prices as quickly.

Therefore, even strong optimism around AI does not mean that money flows equally easily through all asset classes. For investors, this creates a two-sided situation. Public technology companies offer a clear growth narrative and immediate market feedback, while private capital and credit still require careful assessment of risk, exit timing, and borrower quality.

AI can eventually transform this segment too, but clearly not at the speed at which large tech stocks' quotes change. For now, the effect is distributed unevenly: public beneficiaries get a premium sooner, while private players remain in a tighter financing environment.

What this means

The signal from Jefferies is clear: the market has already started pricing in AI, but the main economic effect is still ahead. For business, this is a good moment not to limit itself to experiments. The greatest value will go to companies that can turn AI not into a presentation slide, but into real productivity, more sustainable margins, and a noticeable operational advantage.