American Century pushes back on artificial intelligence bubble fears

American Century is rejecting claims that the current artificial intelligence boom is a speculative bubble, even as other market players warn the technology carries significant risks and heavy spending commitments into 2026.

American Century is pushing back against growing claims that the current artificial intelligence boom has entered bubble territory, arguing that today’s investment cycle is underpinned by real innovation and profitability rather than speculation. In its 2026 Outlook, Keith Lee, co-chief investment officer of global growth equity at the firm, acknowledged that concerns about artificial intelligence valuations and concentration risk are valid, but said the asset manager broadly disagrees with conclusions about an artificial intelligence bubble and expects investors to keep allocating to the sector next year.

Lee said that bubbles are usually marked by excess, such as excess capacity and excessive debt, and he stated that the firm currently sees neither issue in the artificial intelligence space. He contrasted the current environment with past speculative bubbles, arguing that spending today shows little of the same excess and that growth is being driven by genuine technological advances and improving profitability. According to Lee, the largest artificial intelligence spenders and most advanced artificial intelligence users are reporting significant bottom line improvements, and he said these companies are already seeing a contribution to profitability from the technology.

American Century maintained a bullish stance but stressed that not all artificial intelligence opportunities are equal, making active management critical to distinguish durable value creators from more speculative ventures. Lee said that investments which are debt financed and have uncertain use cases are right to be questioned, and he added that the firm is seeking more evidence of return on artificial intelligence investment by asking pointed questions of corporate management teams. Similar themes appear in CMC’s 2026 Outlook, which identifies artificial intelligence breakthroughs and bubbles as one of five major trends and notes that having spent nearly US$400 billion ($600 billion) on artificial intelligence investment this year, big tech is expected to extend its spending spree into 2026, with industry leaders planning to allocate up to 35 per cent of annual revenue toward artificial intelligence related investments. However, CMC’s head of markets Kurt Mayell took a more cautious view, warning the technology carries both promise and risk, and urging investors to treat artificial intelligence as a broad ecosystem spanning chips, infrastructure and cloud rather than a single story. The debate is mirrored by GQG Partners, which has been one of the most vocal critics of the artificial intelligence trend and has recorded outflows for the fifth consecutive month, with its resistance to the theme and a critical whitepaper on OpenAI’s economic model underscoring the sharp divide over how sustainable the current artificial intelligence boom will be.

55

Impact Score

OpenClaw pushes autonomous Artificial Intelligence agents into enterprises

OpenClaw’s rapid growth is accelerating interest in persistent, self-hosted autonomous agents that run continuously instead of waiting for prompts. NVIDIA is positioning NemoClaw as a more secure reference implementation for organizations that want local control, auditability and hardened deployment defaults.

Indiana launches Artificial Intelligence business portal

Indiana is rolling out IN AI, a statewide portal meant to help employers adopt Artificial Intelligence with practical guidance, workshops and peer support. State leaders and business groups are positioning the effort as a way to raise productivity, wages and job growth while keeping workers at the center.

Goodfire launches model debugging tool for large language models

Goodfire has introduced Silico, a mechanistic interpretability platform designed to let developers inspect and adjust model behavior during development. The company is positioning it as a way to give smaller teams deeper control over open-source models and more trustworthy outputs.

Nvidia launches nemotron 3 nano omni for enterprise agents

Nvidia has introduced Nemotron 3 Nano Omni, a multimodal open model designed to support enterprise agents that reason across vision, speech and language. The launch extends Nvidia’s push beyond hardware into models and services while targeting more efficient agentic workflows.

Intel 18A-P node improves performance and efficiency

Intel plans to present new results for its 18A-P process at the VLSI 2026 Symposium, highlighting gains in performance, power efficiency, and manufacturing predictability. The updated node is positioned as a stronger option for customers seeking 18A density with better operating characteristics.

Contact Us

Got questions? Use the form to contact us.

Contact Form

Clicking next sends a verification code to your email. After verifying, you can enter your message.