Observer’s 2026 A.I. Power Index: Who Controls the Capital Flow in A.I
Jaakko Kokko
- Founder & CEO of AlphaSense
AlphaSense CEO Jack Kokko convinced investors this year that the company transforming how Wall Street and enterprise teams conduct research should be worth $7.5 billion, not $4 billion, and he proved it with revenue. Kokko closed a $350 million round on June 3, led by Vitruvian Partners, Accenture Ventures and J.P. Morgan Asset Management, after annual recurring revenue crossed $600 million in the first quarter, up from $500 million in October. He also turned Accenture into AlphaSense’s first strategic channel partner, meaning his platform is now represented inside Accenture’s consulting engagements, not just its own sales pipeline.
“We’re building a continuously learning intelligence platform that combines proprietary content, deep expert insights from Tegus and purpose-built A.I.,” Kokko said in a company statement. The goal, as he explains it, is “to help organizations move from insight to action in real time, and make faster, higher-conviction decisions in complex environments.”
More than 7,000 enterprises run research on AlphaSense—Amazon, J.P. Morgan Chase, and Nvidia, among them. A Third Point analyst captured what that looks like from inside a fund, writing on LinkedIn that he watched “every analyst get a login.” Kokko’s harder fight is reputational. He’s pushed back publicly on the idea that tools like his gut entry-level finance jobs, telling CNBC it’s “a popular narrative,” a direct break from Anthropic‘s Dario Amodei, who has warned A.I. could erase half of entry-level office work.
At the same time, AlphaSense launched SuperAnalyst, an agent built to run research projects from start to finish. Rather than simply responding to questions, SuperAnalyst agentically codes and executes multi-step research and monitoring work on the user’s behalf.
“Organizations don’t just need better answers. They want systems that continuously monitor, analyze, synthesize, and act on information as it changes. As AI accelerates product development, competition, and market change, decision-making itself becomes the bottleneck,” Kokko wrote on LinkedIn. “That’s why we’re seeing unprecedented demand for trusted proprietary data, domain-specific A.I., and workflows embedded directly into how enterprises operate.”
