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US Airport Security Checkpoint Times: Longest and Shortest Revealed

Travelers navigating the bustling corridors of America's major airports frequently encounter vastly different security screening experiences. The duration of time spent in TSA lines can fluctuate dramatically, depending on the specific airport. While some passengers might glide through checkpoints in mere minutes, others could face queues extending for over twenty minutes, profoundly affecting their journey.

An extensive study by Travel Bulletin, encompassing data from mid-June to mid-August 2026, sheds light on the varying efficiency of security operations across the top 50 busiest airports in the United States. This research, drawing from the MyTSA app's wait-time estimates and passenger volume figures from the FOIA Electronic Reading Room, reveals an average security wait time of 9.9 minutes nationwide. However, this average masks a wide spectrum of individual airport performances, prompting a closer look at the factors contributing to these disparities.

The conversation around airport security efficiency has intensified with the Trump administration's initiative to expand the TSA's Screening Partnership Program (SPP). This program permits airports to utilize private security contractors in lieu of federal TSA personnel. This move is part of a broader effort to address ongoing challenges within the agency, including issues of staff retention and workplace morale. These problems were notably exacerbated by government shutdowns in 2025 and 2026, during which TSA officers were compelled to continue working without receiving their salaries.

Intriguingly, the Travel Bulletin analysis shows that airports participating in the SPP, such as San Francisco and Kansas City International Airports, generally boast some of the shortest average wait times. These two airports are among the 20 facilities nationwide that have opted for private screeners. For instance, San Antonio International Airport leads with an impressive average wait time of just 3.7 minutes. Other airports demonstrating rapid processing include Louis Armstrong New Orleans International (4.1 minutes) and William P. Hobby Airport in Houston (4.1 minutes). Kansas City International Airport and San Francisco International Airport also report short waits of 4.2 and 4.5 minutes, respectively, affirming the potential efficiency of private contracting models.

Conversely, several major hubs struggle with considerably longer queues. John F. Kennedy International Airport in New York recorded the longest average wait time at 23.1 minutes, a significant duration that can impact connecting flights and overall travel stress. Chicago O'Hare International Airport also presented a substantial wait of 20.2 minutes, while Newark Liberty International Airport travelers endured an average of 17.9 minutes. Ted Stevens Anchorage International Airport and Hartsfield-Jackson Atlanta International Airport also featured among those with extended wait times, at 16.3 and 14.1 minutes respectively, highlighting the ongoing challenges faced by some of the nation's busiest air travel gateways.

The comprehensive study by Travel Bulletin offers critical insights into the performance of security operations at major U.S. airports, showcasing a clear divide between facilities with minimal and extensive passenger wait times. These findings are vital for both travelers planning their journeys and policymakers evaluating the effectiveness of current security strategies and potential reforms, such as the further integration of private security services.

OpenAI's AI Coding Agents: High Usage and Evolving Costs

Within the last year, the integration of artificial intelligence (AI) coding agents has notably reshaped the landscape of software development at OpenAI. Researchers are now extensively using these AI tools, leading to substantial expenditures on 'tokens'—the fundamental units of text processed by AI models. This trend highlights a significant shift towards AI-driven coding practices, impacting workflow efficiencies and prompting a reevaluation of operational costs within the tech industry.

OpenAI's AI Coding Expenditure Soars Amidst Evolving Development Practices

In a recent disclosure, OpenAI unveiled new data regarding its researchers' expenditure on AI coding agents. The company revealed that some of its most active researchers are now incurring daily costs exceeding $7,000 for AI tokens. This figure represents the costs associated with the processing and generation of text by AI models. This substantial investment underscores the increasing reliance on AI in the development process, fostering faster code generation, more frequent experimentation, and the delegation of complex tasks to AI agents.

The usage of AI coding agents within OpenAI's research division has escalated dramatically over the past quarter. By mid-August, the average daily token expenditure per researcher had reached over $600, a significant jump from $162 in July. For the top 10% of users, this daily spending surpassed $7,000. These figures are calculated based on API pricing, offering an estimate of the financial commitment involved rather than the actual internal cost.

Furthermore, the company observed a marked reduction in the demand for human-staffed technical support. Since January, daily posts in the internal technical support channel have dropped by more than 50%, indicating that AI agents are increasingly effective at troubleshooting and resolving technical issues independently. This efficiency aligns with OpenAI CEO Sam Altman's vision of creating an 'automated research intern,' a goal he set last year, which the company now believes it has achieved. The ambitious next step is to develop a fully automated AI researcher by March 2028.

This surge in AI agent usage marks a 'great reset' in software engineering. Many developers now leverage AI to automate coding tasks, reviewing the outputs for quality and accuracy. While some perceive this as a significant boost to productivity, others express reservations. The financial implications of this approach have become a focal point, as the rising costs of AI models have led to concerns about whether the increased productivity justifies the expenditure. Consequently, companies such as Meta and Amazon have started to phase out internal 'token leaderboards,' which once encouraged high AI usage, advocating instead for a more judicious and productivity-driven application of AI resources. This shift signals a broader industry trend towards optimizing AI integration for cost-effectiveness alongside enhanced output.

The rapid adoption and high expenditure on AI coding agents by OpenAI's researchers present a fascinating case study in the evolving relationship between human ingenuity and artificial intelligence. While the immediate gains in productivity and efficiency are evident, the escalating costs highlight a critical challenge for the tech industry: balancing innovation with economic sustainability. The move by major companies to curb unbridled AI usage suggests a growing awareness that the strategic implementation of AI, rather than maximal utilization, will be key to unlocking its long-term value. This ongoing dialogue will undoubtedly shape the future of software engineering and research, pushing for more intelligent and cost-effective ways to integrate AI into our daily workflows.

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A 56-Year-Old's Career Pivot Challenge: From Risk Management to Women's Sports

A 56-year-old, after retiring from a distinguished 30-year career in risk management, embarked on a new journey, seeking to transition into the dynamic field of women's professional sports. Despite a strong financial standing and a profound enthusiasm for live sports, the job market proved challenging, with numerous applications for entry-level roles yielding no interview opportunities. This unexpected hurdle led to a decline in self-assurance, compelling the individual to take an entrepreneurial path and create their own venture within the women's sports community.

The Challenging Transition into Women's Sports and the Birth of a New Venture

In the vibrant city of Tacoma, Washington, Jennifer Mannix, at the age of 56, found herself at a crossroads in 2022. Having enjoyed a comfortable retirement from her 30-year tenure with the city of Juneau, Alaska, she felt an undeniable pull toward a new calling: women's professional sports. However, the transition proved more formidable than anticipated. Despite applying for numerous entry-level positions, from executive assistant to game-day helper, she received no interview invitations, leading to a noticeable dip in her confidence. Mannix suspects that age bias might be a significant factor in her struggle to re-enter the workforce, believing that hiring managers overlook her passion and transferable skills in favor of younger candidates.

Undeterred by the professional setbacks, Mannix decided to forge her own path. Last year, she began developing a business focused on curating events around women's sports. Her venture specifically organizes bus trips from her Tacoma base to Seattle, allowing fans to attend live games. This initiative is driven by a deep love for the industry and a desire to foster a strong community among women's sports enthusiasts. She is actively involved in every aspect of her new business, from website development and social media management to mastering promotional techniques, embracing both the enjoyment and the challenges that come with entrepreneurship. Furthermore, Mannix has become an active participant in local networking events, particularly joining the Seattle chapter of Women in Sports and Events. These gatherings provide her with inspiration and a crucial sense of encouragement, especially when interacting with accomplished women in the industry who are her age or older.

Mannix holds a strong conviction that her extensive experience has equipped her with invaluable transferable skills, making her a highly capable candidate for any role. She emphasizes that her drive is not financial but rooted in an unparalleled passion and commitment to her new chosen field. She also believes her experience could greatly benefit younger professionals, offering mentorship in being a dedicated employee and team member. Despite the current difficulties, Mannix remains optimistic, continuously reminding herself that perseverance and hard work will eventually lead to success.

The story of Jennifer Mannix highlights a poignant reality in today's job market: the persistent challenge of ageism, especially for those seeking to reinvent their careers later in life. It underscores the importance of passion as a driving force for change and personal growth, even when faced with significant obstacles. Her proactive approach to entrepreneurship, rather than waiting for external opportunities, offers a powerful lesson in resilience and self-reliance. Moreover, her emphasis on networking demonstrates the critical role community and mentorship play in navigating career transitions and maintaining morale. Ultimately, Mannix's journey inspires us to embrace lifelong learning and to challenge preconceived notions about age and capability in the professional sphere.

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