Musk’s ‘Doge’ experiment sought to digitise U.S. governance, raising surveillance and power concerns

Washington: Elon Musk’s short-lived “department of government efficiency” (Doge), launched by executive order on Jan. 20, 2025, sought to modernise U.S. federal systems by integrating government databases and cutting waste, but analysts say the initiative instead centralised power, expanded surveillance capacity and faced resistance that limited its impact.

Musk, who operated as the de facto head of Doge, described the U.S. government as an inefficient system requiring technological overhaul.

In discussions with lawmakers including Ted Cruz, he argued that fragmented databases and outdated infrastructure were at the root of bureaucratic inefficiencies.

According to the executive mandate, Doge’s objective was to improve productivity by modernising federal technology and software systems.The initiative drew on Musk’s corporate playbook, combining aggressive restructuring with a technology-first approach.

Teams of coders and mid-level managers, many drawn from Musk’s companies, were deployed to digitise records, audit agency systems and identify redundancies. Internal dashboards tracked cost-cutting measures in real time, reflecting a management style that treated governance as an optimisable system.

At the core of Doge was a plan to unify federal data into a single interoperable platform. The project aimed to consolidate information ranging from taxpayer records to employment data into a central repository accessible across government departments.

Such integration has been a long-standing objective of U.S. administrations, particularly since security reforms introduced after the September 11 attacks. However, policy experts said Doge’s scale and scope were unprecedented, raising concerns about privacy and institutional safeguards.

Critics warned that centralised access to sensitive data including names, addresses, social security numbers and financial records could increase the risk of misuse or overreach.

They argued that combining multiple databases into a single system may enhance efficiency but also creates a concentration of informational power within the state.Media researcher Eryk Salvaggio said the initiative attempted to automate not only administrative processes but also aspects of democratic governance.

By framing inefficiencies as “bad data,” Doge treated policy challenges as technical problems that could be resolved through correction or removal of anomalies.

Musk’s approach to Doge reflected a broader worldview shaped by technology and simulation theory. He frequently described governance challenges in computational terms, referring to inefficiencies as “bugs” and policy reform as “reprogramming.”

Drawing on themes from science fiction, including the film Star Trek II: The Wrath of Khan, Musk likened Doge’s mission to rewriting the rules of an unwinnable system.This framework extended into his public commentary on policy issues, particularly immigration and federal spending.

Musk argued that inefficiencies in government systems were linked to irregularities in data, including fraudulent records and undocumented individuals. However, independent analyses and official data indicated that many of these claims including assertions about widespread voter fraud were not supported by evidence.

Studies by research institutions and election authorities have consistently shown that non-citizen voting is extremely rare in U.S. elections. Similarly, asylum procedures require verification and are subject to legal review, contradicting claims that entry into the system occurs without scrutiny.

Despite these discrepancies, Doge’s operational model continued to emphasise cost reduction and system optimisation. Musk’s management philosophy assumed that expenditures could be reassessed from a “zero base,” treating all spending as potentially unnecessary unless justified through data-driven analysis.

Efforts to apply private-sector efficiency models to public institutions encountered structural constraints. Government programmes, particularly those related to social welfare, operate within legal and political frameworks that limit rapid restructuring.

Public backlash intensified as concerns grew over potential cuts to benefits such as social security and healthcare programmes. Federal employees also resisted changes that they said undermined institutional stability and due process.

Analysts noted that while companies can restructure workforces quickly, public institutions must balance efficiency with accountability and service delivery. The complexity of government functions including obligations to vulnerable populations made it difficult to implement sweeping changes without political and social consequences.

Doge’s emphasis on rapid cost-cutting and centralised decision-making further contributed to tensions within agencies. Critics argued that the initiative prioritised speed over consultation, reducing opportunities for stakeholder input and oversight

.Although Doge lost momentum following Musk’s departure from Washington, elements of its approach continued to shape policy discussions. Data integration and digital transformation remained priorities for federal agencies, even as debates over privacy and governance intensified.

The initiative also underscored the growing role of private technology firms in public administration. In July 2025, Musk’s artificial intelligence company secured a contract with the U.S. Department of Defense to provide AI tools for government use, reflecting ongoing collaboration between the public sector and technology providers.

Observers say Doge’s most lasting impact may lie in its demonstration of how digital infrastructure can reshape governance. The push toward integrated systems and data-driven policymaking continued into 2026, influencing both administrative strategy and political debate.

At the same time, concerns about surveillance and accountability persisted. The expansion of data-sharing frameworks raised questions about oversight mechanisms and the protection of civil liberties in an increasingly digitised state.

While Musk’s attempt to apply a technology-centric model to government encountered resistance, analysts say it highlighted broader tensions between efficiency, transparency and democratic governance.

The experience of Doge is likely to inform future efforts to modernise public institutions, as policymakers weigh the benefits of innovation against the risks of centralisation.