Ex-Pegasus CEO Urges Nations to Build Own AI to Protect Security

Jonas Håkan, who once led the contentious Pegasus spyware company, cautioned officials on Thursday that leaning too heavily on AI services provided by U.S. firms may leave essential national infrastructure susceptible to concealed weaknesses. In a public address, Håkan called on legislators to fund domestically governed AI solutions, contending that this strategy would more effectively safeguard national security.

His appeal arrives as Pegasus—a surveillance platform accused of being used against politicians, journalists and corporate executives in multiple nations—faces intensified examination. Though the program itself has drawn investigative and legal attention, Håkan’s comments redirect the debate toward the wider AI ecosystem that now supports numerous government tasks, ranging from data analytics to threat monitoring.

Håkan argued that dependence on overseas AI platforms leaves a strategic gap, because the core algorithms, data flows and model revisions are managed beyond the user nation’s jurisdiction. He proposed that building sovereign AI—via government‑backed research centers, public‑private collaborations, or regulated local companies—could lessen the danger of backdoors, data breaches or foreign policy interference.

Analysts observe that the drive for domestically produced AI is longstanding; many countries have already instituted programs to develop homegrown expertise and establish regulations curbing foreign tech sway. Yet the magnitude and rapid pace of AI progress present obstacles, particularly for smaller economies lacking the funds to rival the R&D spending of U.S. tech behemoths. Reconciling security priorities with the demand for competitive AI offerings will probably necessitate coordinated policies, such as incentives for local innovation and explicit rules on data sovereignty.

Although Håkan’s viewpoint stems from his involvement with a technology that has ignited global controversy, his statements highlight a wider discussion on digital independence in a time when AI is deeply embedded in governmental processes. As nations wrestle with the consequences of AI‑guided decision‑making, the focus on sovereign alternatives could influence upcoming legislative plans, funding allocations, and international tech partnerships.