Franklin Templeton says mega IPO wave could reshape AI investment cycle
Proactive
Tue 28 July 2026 at 7:01 am GMT+5:30
3 min read
Franklin Templeton believes a new wave of mega initial public offerings (IPOs) could mark the next phase of the artificial intelligence investment cycle, bringing mature private companies into public markets while challenging the dominance of existing technology leaders
Stephen Dover, chief market strategist and head of the Franklin Templeton Institute, said a cluster of large-scale listings could compete for investor capital with established growth stocks and trigger market rotation across software, semiconductors, fintech and other AI-linked sectors
“If several mega-cap IPOs come to market in the same window, they will compete for capital not only with each other, but with existing publicly traded growth stocks,” Dover said
“That could create rotation pressure across software, semiconductors, fintech and AI beneficiaries.”
New listings could broaden market leadership
The expected pipeline includes companies operating across artificial intelligence, space, defence technology, fintech, automation, robotics and data infrastructure
Franklin Templeton said these businesses could diversify US equity markets, which remain heavily concentrated around a relatively small group of mega-cap companies
Dover said the arrival of new large-scale public companies could create a healthier market structure and provide investors with additional ways to gain exposure to long-term growth themes
“The next wave of IPOs could reshape market leadership,” he said
“These new entrants may help diversify US equity markets away from a small group of heavily concentrated mega-cap names.”
However, Dover cautioned that the IPO boom could also “cannibalise its own winners” as new listings compete with incumbent market leaders for capital
Public disclosures to test AI returns
Franklin Templeton expects the transition of major private AI companies into public markets to provide greater transparency around whether heavy investment in artificial intelligence is producing sustainable financial returns
Public reporting requirements would allow investors to assess whether companies are converting substantial capital expenditure into revenue growth and improved profitability
The disclosures could be particularly important for the semiconductor sector, where investors continue to question how long the current AI infrastructure spending cycle can be maintained
“For the first time, public investors may be able to assess whether AI companies are converting significant capital expenditures into revenue, and improving profitability,” Dover said
