Get your free personalized podcast brief

We scan new podcasts and send you the top 5 insights daily.

When governments outsource core functions like pandemic response planning to consultants, they don't just spend money; they prevent their own staff from developing crucial expertise. This creates a dependency cycle that "infantilizes" the state, weakening it over the long term.

Related Insights

The "you'll never get fired for buying IBM" principle is rampant in government. Officials hire prestigious consulting firms like McKinsey to gain political cover. If the project fails, they can deflect blame onto the consultants, effectively diffusing responsibility for their own decisions.

The pressure for constant billable hours in time-based service models creates a paradox. While maximizing short-term revenue, it actively prevents employees from training and developing new skills, leading to burnout and making the firm's knowledge base stagnant and vulnerable.

Effective government requires more than just budget and staff ("capacity"). It needs "dynamic capabilities": the agility to pivot, collaborate effectively, and learn from experimentation. Most public sector reform misses this, focusing only on reactive, market-fixing roles rather than proactive, market-shaping ones.

Citing economist Ed Glaeser's 'capacity eats policy for a light snack,' the core argument is that the government's ability to execute—having the right people with the right skills—is a far greater determinant of success than the policy itself. Lacking execution capacity dooms even the best-laid plans.

When investigating recurring government failures, especially in technology, the root cause is frequently a broken HR or hiring process. The inability to hire and retain key talent is the underlying issue that prevents mission-critical problems from being solved. As Jennifer Pahlka says, 'it was workforce all along.'

Youngkin pinpoints two culprits for chronic government IT failures: a belief that everything requires a massive, inflexible enterprise system, and an internal talent base unprepared for modern tech. This leads to budget overruns, project delays, and vendor mismanagement.

In the 1960s, a NASA procurement chief warned that relying on consultants would lead to capture by "brochuremanship"—where polished presentations replace substantive, in-house expertise. This accurately predicted today's problem of a government that can no longer write its own terms of reference, relying instead on consultant-driven PowerPoints.

The US has historically benefited from a baseline level of high competence in its government officials, regardless of party. This tradition is now eroding, being replaced by a focus on loyalty over expertise. This degradation from competence to acolytes poses a significant, underrecognized threat to national stability and global standing.

The disastrous rollout of Healthcare.gov deeply scarred the D.C. policy community. The received wisdom became to never bear technology risk directly. This incentivizes outsourcing everything to contractors, not just for expertise, but to create a buffer that can be blamed if a project fails, preserving the politician's reputation.

Enterprises often default to internal IT teams or large consulting firms for AI projects. These groups typically lack specialized skills and are mired in politics, resulting in failure. This contrasts with the much higher success rate observed when enterprises buy from focused AI startups.

Over-Reliance on Consultants "Infantilizes" Governments by Hollowing Out Core Skills | RiffOn