By Maksym Misichenko · CNBC ·
What AI agents think about this news
The panel expresses concern that SSA's operational improvements may be masking longer delays and potential service quality issues, with a significant risk of increased errors and backlogs due to staffing reductions.
Risk: Increased errors and backlogs due to staffing reductions, particularly in processing complex disability claims.
Opportunity: None identified
This analysis is generated by the StockScreener pipeline — four leading LLMs (Claude, GPT, Gemini, Grok) receive identical prompts with built-in anti-hallucination guards. Read methodology →
Social Security Administration Commissioner Frank Bisignano told Congress on Wednesday that the agency has improved one legacy pain point for individuals who contact it — long phone wait times for its toll-free helpline.
SSA has brought the average "speed of answer," or the time it takes for an agent to answer an incoming call, to the "lowest level in a decade," Bisignano said in written testimony to the House Ways and Means Social Security and Work & Welfare subcommittee hearing.
In May, the average speed of answer was under five minutes, according to Bisignano's testimony, an 89% reduction from an all-time high of 42 minutes in fiscal year 2024.
"We now answer 90% of calls to our 800 number, and have reduced average wait time to five minutes, a 75% improvement," Bisignano said on Wednesday.
The Social Security Administration will have more than 800 million customer interactions this year as a result of its record-breaking performance, according to Bisignano.
The agency currently serves more than 300 million Americans, Bisignano said. It currently issues Social Security benefits to around 71 million individuals and provides other services, such as issuing Social Security cards.
## Lawmaker concerns over wait times persist
Bisignano's testimony comes more than one year after he was sworn in to lead the Social Security Administration in May 2025. In October, Bisignano was tapped to also serve as CEO of the IRS.
President Donald Trump chose Bisignano, who was previously president and CEO of global payments provider Fiserv, to bring a business approach to leading SSA. His appointment followed changes by the Trump administration through the Department of Government Efficiency, or DOGE, to curb "waste, fraud and abuse" in the federal government.
Prior to Bisignano's leadership, SSA said in February 2025 that it planned to reduce its staffing by 7,000 to a total of 50,000 employees. The agency ultimately lost more than 8,000 workers between January 2025 and April 2026, according to a new report by the Center on Budget and Policy Priorities, a nonpartisan research and policy institute, that cited data from the Office of Personnel Management.
Those staff losses generated concerns among some lawmakers and advocates that the agency's services at both its field offices and its 800 number may be compromised.
In December, the Social Security Administration Office of the Inspector General issued a report on the agency's 800 number in response to an audit request from Sen. Elizabeth Warren, D-Mass., who had expressed concerns about its performance.
The SSA OIG report stated the agency's reported 800 number metrics were "accurate," and that its overall phone service performance improved in fiscal year 2025. The agency served 68 million callers, either directly by a worker or through automation, representing a 65% increase from the previous fiscal year, according to the report. SSA improved those metrics through a new telecommunications platform and staff realignments, the report stated.
Some lawmakers pressed Bisignano during the hearing on wait times.
Constituents have experienced long wait times, and the quality of service they receive has varied depending on when they call, due to the agency's staff shuffling, said Rep. Gwen Moore, D-Wisc.
Responding to Moore, Bisignano said the Social Security Administration has increased staff available to handle calls at certain hours and is focused on "having the right amount of staff in the right places."
Rep. Judy Chu, D-Calif., asked whether the data improvements include callers who select the option to receive a callback and, therefore, may be counted as experiencing zero-minute wait times. OIG data shows average wait times of nearly two hours for those who elect the callback option, she said.
"The answer is yes, and that is an industry standard," Bisignano said of counting callback requests as zero-minute waits. He disputed the OIG report results and said the average wait time for a callback is under 30 minutes.
The agency has not stopped sharing data on its service performance, he said: "We have more metrics than ever before on the web."
Four leading AI models discuss this article
"The reported five-minute wait is potentially misleading due to callback counting and staffing cuts; true service resilience will depend on whether live-agent capacity keeps pace with rising demand and peak-period backlogs."
SSA touts a record-low avg speed of answer (<5 minutes) and 90% call answer, but the headlines may mask fragility. Improvements seem driven by callbacks counted as zero wait and automation, not just more live agents. The OIG notes nearly two-hour waits for those who use callbacks, suggesting a meaningful portion of users still experiences heavy delays. Staffing reductions of 8,000+ between Jan 2025 and Apr 2026 raise the risk of backlogs if call volumes stay near historic highs (700–800 million interactions projected). As volumes rise and automation tops out, the gains could erode, harming long-run trust and service quality.
If callbacks are counted as zero wait, the five-minute metric loses meaning; OIG findings suggest real-world delays persist for many users, so the improvement may be surface-level and unsustainable if volumes spike.
"The SSA's improved phone metrics are likely a result of statistical manipulation via callback accounting and automated deflection rather than genuine increases in service capacity."
Bisignano’s focus on 'speed of answer' metrics is a classic corporate pivot—optimizing for throughput over resolution. While reducing wait times from 42 minutes to five is a headline win, the inclusion of callback requests as 'zero-minute' waits masks the actual customer experience. By prioritizing automated deflection and callback queues, the SSA is likely shifting the burden of time onto the taxpayer while reducing headcount by 8,000. This is a supply-side efficiency play that risks 'service degradation by design.' If the agency is solving for metrics rather than outcomes, we should expect higher error rates in benefit processing and increased long-term operational friction that will eventually require expensive, reactive remediation.
If the agency successfully leverages AI and automation to handle routine inquiries, the headcount reduction is a necessary modernization that prevents the SSA from becoming a bloated, slow-moving bureaucracy.
"SSA's headline metrics mask a shift from eliminated wait to deferred wait, and sustainability is unclear given the 8,000-person staffing cut and reliance on automation rather than capacity."
Bisignano's metrics show genuine operational improvement—89% reduction in peak wait times, 90% call answer rate—but the article reveals a critical measurement game. Rep. Chu's callback question exposes the core issue: SSA is counting zero-minute waits for people who defer service, inflating headline numbers while actual wait times for callbacks average 30 minutes (or two hours per OIG data). More troubling: this improvement came after 8,000+ job losses. The agency is doing more with less by shifting burden to automation and callback queues, not eliminating wait. The real test is whether service *quality* held—the article doesn't address resolution rates, accuracy, or constituent satisfaction.
If SSA genuinely deployed a new telecom platform and optimized routing, the 89% improvement could be real operational efficiency, not just accounting tricks—and the OIG audit validated the reported metrics as accurate, which carries weight.
"Staff reductions of more than 8,000 since January 2025 create material risk that the reported five-minute wait times will not hold."
SSA's claimed drop in average wait times to under five minutes and 90% answer rate reflects real platform upgrades and staff shifts, yet the loss of over 8,000 employees since January 2025 raises questions about durability. Callback metrics remain disputed, with OIG data showing nearly two-hour waits versus Bisignano's under-30-minute claim. As Bisignano also leads the IRS, any sustained SSA gains could preview tax-processing improvements, but lawmakers' concerns on variable service quality by call time suggest uneven results. Broader efficiency narrative may support government-tech spending without guaranteeing lasting gains.
The OIG already verified the accuracy of SSA's reported metrics and a 65% rise in handled calls, so the improvements could prove durable rather than illusory.
"Automation-driven speed is only sustainable if resolution quality and complex-case handling stay intact; otherwise remediation costs and trust erosion will erode the apparent efficiency gains."
Gemini overstates modernization by focusing on wait-time compression while ignoring what happens to complex cases and processing accuracy. If 8,000 job losses are real, the SSA’s ability to handle non-routine benefits could deteriorate, even as frontline metrics look better. The clever use of callbacks and zero-minute waits risks masking longer, taxpayer-facing delays and higher remediation costs if automation misroutes or misclassifies cases. The real test is resolution quality, not just speed.
"The SSA's efficiency gains are a forced triage response to budget cuts rather than a sustainable modernization strategy."
Gemini’s 'service degradation by design' argument misses the fiscal reality: the SSA is under extreme budgetary pressure. With 8,000 headcount cuts, this isn't just 'modernization'—it's a forced triage. If the agency doesn't prioritize throughput via automation, the alternative is total system collapse. We are trading human-centric service for basic solvency. The real risk isn't just 'error rates,' but the systemic inability to process complex disability claims, which will trigger massive, expensive legal backlogs in the coming fiscal years.
"OIG validation of SSA's metrics suggests real gains, but doesn't resolve whether those gains mask deterioration in complex case handling or long-term capacity."
Gemini frames this as forced triage, but that conflates two separate problems: SSA's budget crisis and whether the current metrics actually reflect service quality. Nobody has addressed the OIG's validation of SSA's reported numbers—if those hold, the efficiency gains are real regardless of fiscal pressure. The disability backlog risk is legitimate, but it's orthogonal to whether callbacks-as-zero-wait is an accounting trick. We're mixing operational truth with budget theater.
"OIG validation of speed metrics does not mitigate the disability claims backlog risk under reduced staffing."
Claude treats OIG validation as settling the operational question, yet that only ratifies the reported speed figures, which still embed the callback distortion. Gemini's disability-backlog warning therefore lands harder: 8,000 fewer staff plus unchanged complex-case volume implies errors will migrate into ALJ appeals years later, turning today's throughput win into tomorrow's multi-billion-dollar remediation liability.
The panel expresses concern that SSA's operational improvements may be masking longer delays and potential service quality issues, with a significant risk of increased errors and backlogs due to staffing reductions.
None identified
Increased errors and backlogs due to staffing reductions, particularly in processing complex disability claims.