A Government Shutdown Could Wreck Air Travel Just as Fall Season Peaks

government shutdown air travel disruption is becoming a real possibility. The funding measure covering most of the Department of Homeland Security, including the Transportation Security Administration, expires on 30 September 2026. Major US travel industry groups have issued a joint warning urging Congress to pass a continuing resolution before the deadline. They cite the toll a previous shutdown took on travelers.

How a government shutdown air travel disruption would actually unfold

TSA officers and air traffic controllers are classified as essential employees. That means they would keep working, but without pay, until Congress restores funding. That arrangement sounds like it should keep airports running normally. The 2025 shutdown showed otherwise. Roughly 10% of TSA employees called in sick during that 35-day closure as unpaid work stretched on. Staffing pressure at checkpoints led to security lines stretching past three hours at some airports.

government shutdown air travel

What the last shutdown cost travelers

The 2025 shutdown carried an estimated $6.1 billion toll on travelers, according to figures cited by travel-industry analysts. The Federal Aviation Administration reduced operations at 40 airports during that closure. National parks lost ranger services. Passport-processing offices faced delays that rippled into travel plans booked months in advance. Industry groups are pointing to that episode directly as they lobby Congress ahead of the 30 September deadline. They argue a repeat would land during the already-busy fall travel season.

Why this deadline is harder to avoid than it sounds

The funding measure covering DHS is one of several appropriations bills Congress must pass or extend by 30 September. Previous years have shown that a single unresolved bill can trigger a broader shutdown, even when most other agencies have secure funding. TSA leadership testified earlier this year about the operational strain a shutdown places on the agency. They warned lawmakers directly that staffing gaps compound the longer a funding lapse continues. That testimony has become a reference point in the current lobbying push from airlines, airports, and hospitality groups.

Travel trade associations estimate that a shutdown lasting more than two weeks would cause measurably worse disruption than 2025’s closure, since the fall travel season concentrates more trips into a shorter window than the shutdown’s original timing did.

How airlines and airports are preparing regardless

Major carriers have started reviewing contingency staffing plans in case checkpoint lines grow. Industry sources tracking the lobbying push confirm those preparations. Airports with only one or two security lanes are seen as the most exposed. They have little room to absorb slower processing without long queues forming. Larger hub airports have more flexibility to shift staff between checkpoints. They also handle far higher passenger volumes during the fall travel season, though, which cuts against that flexibility.

Hospitality and hotel groups have joined the lobbying effort too. They warn that visible airport delays tend to depress last-minute bookings, even for travelers not flying through the worst-affected airports. That ripple effect is part of why the joint warning to Congress includes signatures from groups well outside the airline industry itself.

Some airlines have already begun quietly padding connection times on itineraries that route through smaller airports, a precaution similar to what several carriers did in the weeks before the 2025 shutdown began. Travel advisors are telling clients booking September trips to build in extra buffer time at connections, particularly for international itineraries with tight layover windows. Several advisors said they are now flagging the shutdown risk to every client. They no longer wait for someone to ask about it directly.

Airport authorities in several major cities have also started drafting communication plans for passengers. The goal is to give travelers earlier warning than they received during the 2025 closure. Many travelers that year learned about checkpoint delays only after arriving at the airport. City aviation departments say text alerts and app notifications are part of the new plans under discussion, alongside updated signage at checkpoints themselves.

What happens next

Congress has until 30 September to pass a continuing resolution or full-year appropriations covering DHS. Travel groups are pressing for an agreement well before the deadline, rather than a last-minute deal that leaves airlines and airports little time to prepare. Travelers with flights booked around the end of September should expect airlines to issue guidance if a shutdown looks imminent. That is based on how carriers communicated during the 2025 closure.

Frequently Asked Questions

When does the funding deadline that could disrupt air travel expire?

The appropriations measure covering most of DHS, including TSA, expires 30 September 2026 unless Congress passes new funding.

Would TSA officers stop working during a shutdown?

No. TSA officers and air traffic controllers are classified as essential and would keep working, but without pay until funding is restored.

What happened during the 2025 shutdown?

TSA staffing pressure led to security lines exceeding three hours at some airports, the FAA reduced operations at 40 airports, and the shutdown carried an estimated $6.1 billion cost to travelers.

What are travel industry groups asking Congress to do?

Major US travel organizations have jointly urged Congress to pass a continuing resolution before the 30 September deadline to avoid disrupting the fall travel season.

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What the Duration of Status Elimination Means for Your I-94

Duration of Status elimination for F, J, and I nonimmigrants takes effect on 15 September 2026. The change ends decades of open-ended “Duration of Status” admission for foreign students, exchange visitors, and foreign media representatives. The Department of Homeland Security published the final rule on 17 July 2026. It creates a fixed admission period with a specific expiration date on each affected traveler’s Form I-94. That replaces the flexible D/S framework, which let students remain as long as they kept full-time enrollment.

What Duration of Status elimination changes for students

Under the new rule, most F-1 students and J-1 exchange visitors will receive a specific Admit Until Date rather than an open-ended D/S notation. Admission periods are capped at up to four years for F-1 and J-1 holders, and up to 240 days for I nonimmigrants. That cap includes people already inside the United States under the old D/S framework when the rule takes effect. The change also limits how freely both graduate and undergraduate students can switch programs. It blocks foreign students who already completed a US degree from starting a second degree at the same academic level.

Duration of Status elimination

Who has to file for an extension, and when

Anyone who needs to stay in the country past their new Admit Until Date must file an extension-of-stay application with USCIS. They must also submit biometrics and demonstrate continued eligibility, well before the current authorization expires. Immigration attorneys are advising schools and exchange programs to start tracking individual expiration dates immediately. A missed extension filing under the new fixed-period system carries a harder deadline than the old D/S framework did. That older framework rarely forced a hard stop as long as a student stayed enrolled.

Why this rule is still not fully locked in

DHS has classified the rule as a “major rule” subject to congressional review under the Congressional Review Act. Congress retains a window to alter or block it, even after the 15 September effective date. DHS has said it will publish an additional Federal Register notice if that review process changes the effective date or terminates the rule outright. Universities and exchange-visitor sponsors are proceeding on the assumption the rule takes effect as scheduled. They are still watching for any congressional action that could shift the timeline again.

How many people the change actually touches

More than a million F-1 students and several hundred thousand J-1 exchange visitors were present in the United States as of the most recent government counts. Schools cite those figures in their own advising guidance. Not everyone will feel the change immediately. Students with admission periods that already carry years of runway will not need to file an extension right away. Every affected traveler now has a specific date to track, though, where before none existed.

Universities with large international enrollments say the administrative burden falls heaviest on them. That group includes many research institutions with multi-year PhD programs. Doctoral students often take five years or more to finish. That timeline runs well beyond the new four-year cap. Many of those students will need at least one extension filing before they graduate.

Designated school officials, the staff responsible for maintaining each student’s immigration record, now face a heavier compliance workload too. They must track individual Admit Until Dates across their entire enrolled population rather than a single shared D/S status. Several university systems have said they are hiring additional compliance staff specifically to manage the transition.

What happens next

International student offices across the country are updating their advising materials ahead of the 15 September effective date. They expect a wave of extension-of-stay filings in the following months, as fixed admission periods start expiring for students already well into multi-year programs. The rule adds to a string of changes affecting F and J visa holders this year. It follows a separate reduction to the F-1 grace period announced in August. Immigration attorneys expect further procedural guidance from USCIS as the first fixed-period expirations approach.

Frequently Asked Questions

When does Duration of Status elimination take effect?

The rule takes effect 15 September 2026, though it remains subject to congressional review under the Congressional Review Act.

Who is affected by the change?

F-1 students, J-1 exchange visitors, and I nonimmigrant foreign media representatives, including people already admitted under the old Duration of Status framework.

What replaces Duration of Status?

A fixed admission period with a specific Admit Until Date on the traveler’s Form I-94, capped at up to four years for F-1 and J-1 holders and up to 240 days for I nonimmigrants.

What happens if someone needs to stay longer than their new admission period?

They must file an extension-of-stay application with USCIS, submit biometrics, and demonstrate continued eligibility before their current authorization expires.

Can this rule still change before or after it takes effect?

Yes. DHS classified it as a major rule subject to congressional review, and the agency has said it will publish a further notice if that review changes the effective date or ends the rule.

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The Real AI Chip Bottleneck Isn’t the Chip — It’s the Wires

The AI chip interconnect bottleneck took center stage as SEMICON Taiwan 2026 opened in Taipei on 31 August. The event drew more than 100,000 semiconductor professionals from 65 countries to International Semiconductor Week. SEMI’s Terry Tsao delivered the conference’s central message, and it was blunt. Moving data between AI chips can now consume more energy than the computation itself. That shifts the industry’s hardest problem from individual chip performance to system-level architecture.

Why the AI chip interconnect bottleneck changes the conversation

For years, chipmakers competed primarily on transistor density and raw compute throughput. SEMICON Taiwan’s 2026 agenda reflects a shift toward a different metric entirely. The new focus is how efficiently data moves between thousands of chips working together inside a single AI training cluster. AI models have grown, and so has the number of chips that must communicate constantly during training. The wiring and interconnect standards linking them have not kept pace with compute gains. That gap creates exactly the kind of bottleneck Tsao described.

AI chip interconnect bottleneck

Who is racing to solve the wiring problem

Nvidia has staked much of its roadmap on faster interconnect standards to keep pace with the chips it sells. Its GPU Technology Conference earlier this year saw Jensen Huang announce roughly $1 trillion in expected orders for its Blackwell and Vera Rubin chip generations through 2027. Those orders depend partly on solving the same data-movement problem SEMICON Taiwan highlighted. Component suppliers focused on optical and copper interconnect technology have seen renewed investor interest as a result. Faster, more energy-efficient connections between chips could unlock compute gains that raw chip design alone cannot deliver.

The regulatory backdrop shaping who can compete

The interconnect race is unfolding alongside tightening US export controls on advanced AI chips and the semiconductors that power them. The Commerce Department has signaled further regulatory action on chips and AI is coming. The Department has separately signed letters of intent worth $874 million with seven companies to strengthen the domestic compute supply chain. Those two threads are tighter export rules abroad and new incentives at home. Together they are pushing US-based chip and interconnect makers to treat domestic manufacturing capacity as a competitive necessity, not a cost center.

Taiwan’s own chipmakers face a delicate balance in this environment. They supply both US and Chinese customers. Interconnect standards adopted at events like SEMICON Taiwan increasingly carry geopolitical weight alongside their technical merits. TSMC and other Taiwanese suppliers have avoided taking public positions on which standard should win out. They prefer to support multiple approaches until the market settles on a default, a stance that lets them keep selling into both American and Chinese supply chains without picking a side.

How this affects AI training timelines industry-wide

Data-center operators say interconnect limits already stretch some training runs longer than the chips themselves would require. A cluster with thousands of top-tier chips gains little if those chips spend significant time waiting on data transfers rather than computing. That waiting time translates directly into higher costs. Labs still pay for chip time regardless of utilization. Several cloud providers have begun advertising interconnect specifications alongside raw chip counts for the first time this year. Industry analysts say the shift reflects customer demand for clearer efficiency metrics. Buyers increasingly ask about bandwidth between chips before they ask about raw chip counts, according to several vendors present at the conference.

Smaller AI labs without the scale to negotiate custom interconnect solutions face a particular disadvantage. They typically rely on off-the-shelf networking gear that larger labs have already moved past. That gap can leave them paying similar chip costs for meaningfully worse effective performance. Several smaller labs have started pooling compute purchases specifically to negotiate better interconnect terms, mimicking a strategy large cloud providers pioneered years earlier. Industry groups say more such consortiums are likely to form if interconnect costs keep rising faster than raw chip prices.

What happens next

International Semiconductor Week runs through the rest of the week in Taipei. More technical sessions are expected to detail specific interconnect standards vying to become the industry default. Whichever approach gains traction will shape how quickly AI labs can actually deploy the chips they are paying for. That includes labs racing to fund new compute capacity, like DeepSeek.

Frequently Asked Questions

What is the AI chip interconnect bottleneck?

It refers to the energy and speed limits of moving data between AI chips working together in a cluster, which industry leaders now say can consume more energy than the chips’ own computation.

What is SEMICON Taiwan 2026?

It is International Semiconductor Week’s flagship event, held in Taipei starting 31 August 2026 and drawing more than 100,000 semiconductor professionals from 65 countries.

Why does this matter for Nvidia and its rivals?

Nvidia’s roadmap depends on faster interconnect standards to support roughly $1 trillion in expected orders for its Blackwell and Vera Rubin chips through 2027.

How do US export controls factor in?

Tightening restrictions on advanced AI chips are pushing chipmakers to treat domestic manufacturing and interconnect capacity as strategically necessary, alongside new federal incentives for the compute supply chain.

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Inside the DeepSeek Funding Round That Could Precede a 2027 IPO

A DeepSeek funding round worth roughly 50 billion yuan, about $7.4 billion, is nearing a close. Sources cited by China Money Network put the pre-money valuation near $74 billion. DeepSeek is the Chinese AI lab that rattled US markets in January 2026. Its model matched Western systems at a fraction of the training cost. DeepSeek is using this raise to fund about 1 gigawatt of new compute capacity, ahead of a planned initial public offering.

What the DeepSeek funding round is actually paying for

The bulk of the new capital is earmarked for compute infrastructure, not research headcount. That reflects how much of the competitive pressure in frontier AI now comes from access to chips and data-center capacity, rather than algorithmic breakthroughs alone. DeepSeek is racing rivals including Alibaba’s Qwen, Tencent’s Hy4, and Zhipu’s GLM for both compute and engineering talent. Sources familiar with the round say the financing is intended to close by the end of August. That would position DeepSeek to file for an IPO before the end of 2026, with a public debut targeted for 2027 on Shanghai’s Star Market.

DeepSeek funding round

Image credit: Feliciagrace-bytesrack / Wikimedia Commons (CC BY 4.0)

Why this funding round matters beyond DeepSeek

DeepSeek’s January 2026 model release briefly wiped more than $500 billion from AI-linked US equities. It demonstrated that competitive AI systems no longer required the enormous training budgets US labs had assumed were necessary. This new funding round suggests the opposite lesson is now taking hold inside DeepSeek itself. Staying competitive at the frontier still requires massive, sustained capital, even for a lab that built its reputation on efficiency. That shift has implications for every AI lab claiming a cost advantage. It implies efficiency gains buy time rather than permanently lower capital requirements.

The chip-supply backdrop shaping the round

DeepSeek’s fundraising lands against a backdrop of tightening US export controls on advanced AI chips. The Commerce Department has signaled further regulatory action on chips and AI is coming. Chinese AI labs have had to route around restrictions on the most advanced Nvidia and AMD chips. A war chest of this size gives DeepSeek more room to secure whatever compute capacity remains available to it. That capacity could come through domestic chipmakers or through channels that comply with existing export rules.

Analysts tracking China’s AI sector say the round also signals confidence from domestic investors that Beijing will keep backing frontier AI development despite the external pressure. That confidence matters as much as the capital itself, since it shapes whether other Chinese labs can raise on similar terms.

How investors are pricing DeepSeek against its global rivals

A $74 billion valuation puts DeepSeek well below OpenAI and Anthropic on paper. It still ranks among the most valuable AI labs outside the United States. Private investors backing the round are betting that DeepSeek can keep its cost advantage even as it spends more on infrastructure. That bet carries real risk. Training costs across the industry have climbed as models grow larger. DeepSeek’s efficiency edge could narrow if rivals adopt similar techniques.

Domestic Chinese funds make up a large share of the round, according to people familiar with the terms. That matters for a specific reason. It reduces DeepSeek’s exposure to foreign capital controls and export-linked investment restrictions. Those restrictions have complicated fundraising for other Chinese tech companies this year.

Some investors involved in the round declined to comment publicly, citing the sensitivity of ongoing negotiations. That reticence is typical for pre-IPO rounds of this size, where terms often shift until the final signing. Bankers advising on the deal have also stayed quiet about the exact investor list. That silence is standard practice ahead of a Shanghai listing, where regulators scrutinize pre-IPO ownership disclosures closely and expect confidentiality until filings become public.

What happens next

Investors will be watching whether the round closes at the reported terms by DeepSeek’s end-of-August target. They will also watch whether an IPO filing follows on the timeline sources have described. A successful Shanghai listing would give Chinese investors direct exposure to one of the country’s most closely watched AI companies. It would also test whether public markets value DeepSeek’s efficiency reputation as highly as private investors currently do.

Frequently Asked Questions

How much is DeepSeek raising in this funding round?

Reports put the round at roughly 50 billion yuan, about $7.4 billion, at a pre-money valuation near $74 billion.

What will DeepSeek use the money for?

The company plans to use most of the capital to build roughly 1 gigawatt of new compute capacity, according to sources familiar with the round.

Is DeepSeek planning an IPO?

Yes. Sources say DeepSeek could file for an IPO by the end of 2026, with a public debut targeted for 2027 on Shanghai’s Star Market.

How does this relate to DeepSeek's January 2026 model release?

That release showed DeepSeek could match Western AI systems at a fraction of the training cost, briefly erasing over $500 billion from AI-linked US stocks. This funding round suggests staying competitive still requires large, sustained capital investment.

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How a Salesforce Anthropic Stake Gain Drove Its Best Day in Years

A Salesforce Anthropic stake gain of $2.6 billion helped push Salesforce stock up roughly 22% in a single trading session. That marks the software company’s second-best day ever, behind only August 2020. Salesforce reported second-quarter adjusted earnings of $5.90 per share against a $3.27 estimate. Revenue of $11.35 billion narrowly topped forecasts of $11.32 billion. Net income jumped 87% year over year to $3.53 billion.

Why the Salesforce Anthropic stake gain moved the stock so much

Roughly $2.53 of Salesforce’s $5.90 per-share profit came directly from investment gains, not core software sales, according to The Motley Fool. The single biggest driver was Salesforce’s stake in Anthropic, the AI company behind the Claude models. Salesforce’s strategic investment portfolio now values that stake at about $5.1 billion. Anthropic represented roughly 22% of the portfolio at the end of January. It had grown to about 45% by the end of July. Anthropic’s own funding round in May valued the AI company at $965 billion, which explains most of that jump.

Salesforce Anthropic stake gain

Image credit: BalticServers.com / Wikimedia Commons (CC BY-SA 3.0)

The Claudeforce partnership behind the numbers

Salesforce and Anthropic also announced Claudeforce alongside the earnings release. The plugin embeds Salesforce customer data, workflows, and business logic directly into Claude for sales teams. The product ties Salesforce’s core customer-relationship-management business to Anthropic’s AI models, going beyond the investment stake alone. That gives Salesforce a commercial reason to keep deepening the partnership, rather than simply holding the position for its paper value.

What this means for Salesforce chief executive Marc Benioff

The earnings beat and stock jump mark a turnaround moment for Benioff. He had faced skeptics questioning whether Salesforce’s AI strategy could translate into revenue, not just investment gains. CNBC’s coverage described Benioff as “getting his mojo back” as Salesforce lifted its AI-driven growth outlook alongside the results. Investors had grown impatient with software companies that talked about AI without showing it in product revenue. Here, the AI story showed up in investment returns tied to genuine AI-sector growth instead.

How rivals are reacting to the Salesforce Anthropic stake gain

Competing enterprise software vendors have spent much of the past year building their own AI partnerships. Few can point to an investment stake that has appreciated as sharply as Salesforce’s Anthropic position. Rivals with in-house AI models, rather than external stakes, do not get the same investment-gain boost on their income statements. That holds true even when their AI products perform well commercially. The distinction matters to investors trying to separate genuine AI product revenue from balance-sheet gains tied to a single portfolio holding. Several analysts flagged the mix on Salesforce’s earnings call. They see it as a reason to watch subscription growth closely next quarter, rather than count on investment gains repeating.

The tech sector’s broader earnings season has been uneven. Some companies have reported layoffs alongside AI investment, even as others post gains tied to AI partnerships. That contrast has made Salesforce’s results a reference point for whether AI spending is starting to show up as revenue across the wider software industry, rather than remaining a cost center.

What the earnings beat means for enterprise software pricing

Salesforce has been raising prices on parts of its core platform. It is bundling in AI features as it does so, a strategy several rivals are watching closely. Claudeforce could drive measurable productivity gains for sales teams. If it does, other software vendors may feel pressure to strike similar external AI partnerships rather than build everything in-house. That would mark a shift from the past two years. Most large software companies insisted on owning their AI stack end to end during that stretch. Analysts pressed Salesforce executives on pricing specifically during the earnings call. They asked whether Claudeforce would be bundled into existing subscriptions or sold as a premium add-on.

Salesforce has not yet detailed final pricing for the new integration. Executives said only that broader availability would follow a limited rollout to existing enterprise customers in the coming months.

What happens next

Salesforce’s next test will be whether Claudeforce adoption translates into subscription revenue, rather than remaining a headline-grabbing integration. Investors will also watch whether Anthropic’s valuation, and by extension Salesforce’s stake, holds up if the broader AI funding environment cools. For now, the earnings beat has bought Salesforce’s leadership team more room to keep investing in the partnership. It also buys them room to avoid answering questions about the AI strategy falling behind competitors.

Frequently Asked Questions

How much did Salesforce gain from its Anthropic stake?

Salesforce reported a $2.6 billion gain on strategic investments in its second quarter, with Anthropic as the largest single contributor to that portfolio value.

What was Salesforce's overall Q2 earnings performance?

Salesforce posted adjusted earnings of $5.90 per share against a $3.27 estimate, with revenue of $11.35 billion and net income up 87% year over year to $3.53 billion.

What is Claudeforce?

Claudeforce is a plugin announced alongside the earnings that embeds Salesforce customer data, workflows, and business logic into Anthropic’s Claude for sales teams.

How much of Salesforce's investment portfolio is Anthropic now?

Anthropic grew from about 22% of Salesforce’s strategic investment portfolio in January to about 45% by the end of July, following Anthropic’s own funding round in May.

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