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24 Aug 2026
International students on a university campus, illustrating the duration of status rule for F and J visas

US Ends Duration of Status for F and J Visa Holders

Categories Immigration

The United States is ending the open-ended admission system that has governed international students and exchange visitors for decades. Under a duration of status rule published by the Department of Homeland Security in the Federal Register on 17 July 2026, F academic students, J exchange visitors and I representatives of foreign information media will no longer be admitted for “duration of status” — the D/S notation that allowed them to remain for as long as they complied with their programme. From 15 September 2026 they will instead be admitted until a fixed date printed on their Form I-94, and anyone who needs longer must ask U.S. Citizenship and Immigration Services for more time.

A US visa page in a passport, illustrating the duration of status rule for F and J visa holders

The change affects students at every level, visiting researchers, physicians, au pairs and foreign correspondents worldwide. Below is what is in force, what takes effect next month, and what is only a proposal.

What the duration of status rule actually does

The final rule strikes every reference to “duration of status” from the DHS regulations covering F, J and I nonimmigrants and replaces it with fixed periods of admission.

  • F and J: admission for the length of the programme shown on the Form I-20 or DS-2019, not to exceed four years. For F-1 students the period ends earlier if an OPT or STEM OPT employment authorisation document expires first.
  • Arrival and departure windows: a 30-day period before the programme start date and a 30-day period afterwards, neither of which counts toward the four-year maximum.
  • I nonimmigrants: admission for up to 240 days, or up to 90 days for most holders of passports issued by the People’s Republic of China, excluding Hong Kong SAR and Macau SAR passports.
  • Extensions: anyone who needs more time must file Form I-539 with USCIS before their authorised stay ends, provide biometrics if asked, and pay the applicable fee — or leave and seek readmission at a port of entry.

For F-1 students, the rule narrows acceptable extension reasons to compelling academic reasons, a documented illness or medical condition, or circumstances beyond the student’s control. Academic probation, suspension or repeated inability to finish coursework are described as generally unacceptable.

One consequence is easy to overlook. Under D/S, unlawful presence generally did not accrue until USCIS found a status violation or a judge ordered removal. Once admission ends on a fixed date, someone who overstays without a timely extension application will generally begin accruing unlawful presence straight away.

New limits on transfers, programme changes and departure time

Several restrictions in the same rule have nothing to do with fixed dates but will change day-to-day academic life. They sit in the DHS final rule, not in any State Department proposal.

  • The period an F-1 student has to prepare to depart after completing a course of study or post-completion practical training drops from 60 days to 30 days. A student who stops study or training early must leave, or act to maintain or change status, within 30 days.
  • F-1 students generally must complete their first academic year at the school that issued their initial Form I-20 before transferring or changing educational objective, unless the Student and Exchange Visitor Program authorises an exception.
  • Students at graduate level or above are barred from changing educational objective at any point in the programme, and from transferring schools absent an SEVP exception for extenuating circumstances.
  • Progression must be upward: after completing one educational level, a student may only begin a programme at a higher level, not the same or a lower one.
  • Language training is capped at an aggregate 24 months, including breaks and annual vacation.

Anyone weighing study destinations may also want our guide to proof of funds for the UK, Canada and Australia in 2026.

A separate State Department proposal on J-1 terminations

Thirteen days later, the State Department issued something different in kind. On 30 July 2026 it published a proposed rule on the Exchange Visitor Program covering termination of programme participation, extensions and reinstatement. A proposed rule changes nothing until it is finalised, and this one has not been.

As proposed, it would authorise the Department, in its discretion, to terminate an exchange visitor’s programme in limited circumstances — among them where a visa has been revoked with immediate effect, where unauthorised employment has occurred, or where false information was provided during the programme. Exchange visitors would have 10 business days to file a written statement of opposition to certain Department-issued terminations.

The proposal would also compress the window for sponsors to correct many SEVIS status errors from 120 days to 30 days, after which formal reinstatement with a $367 fee would be required. Requests to extend a programme beyond the maximum permitted duration would have to be filed at least 90 days ahead, with no exceptions for late filings. The public comment window runs for 60 days from 30 July 2026 and was still open when this article was published.

Dates to put in the diary

The effective date is 15 September 2026, but two things could still move it. The rule is classified as a major rule subject to congressional review; DHS has said it will publish a further Federal Register document if that process changes the effective date or terminates the rule. Separately, on 18 August 2026 a coalition including NAFSA, the Presidents’ Alliance on Higher Education and Immigration and several unions filed a complaint and a motion for a preliminary injunction in the U.S. District Court for the District of Massachusetts, arguing the rule is unlawful under the Administrative Procedure Act. No ruling on that motion had been issued as of publication.

Transition provisions matter for people already in the country. F and J nonimmigrants who are properly maintaining status on the effective date and who were admitted for D/S will be authorised to remain until the programme end date on the Form I-20 or DS-2019 that is valid on that date, capped at four years from the effective date. Travelling abroad and returning after 15 September means a new I-94 with a fixed date. F-1 students in the United States on that date who timely file Form I-765 for post-completion OPT or STEM OPT on or before 18 March 2027 are not required to file a separate extension application for that period. The transition rules do not reach people who are outside the United States when the rule takes effect.

Practical next steps are unglamorous: confirm your programme dates, work out the resulting outer limit with your designated school official or responsible officer, and diarise any extension filing early. Because outcomes turn on individual facts, anyone whose stay is close to the margins should speak to a qualified immigration attorney. Full texts are available from the Federal Register, the DHS Study in the States portal and the NAFSA litigation page.

Questions readers are asking

Does the duration of status rule apply to me if I am already studying in the United States?
Yes, through the transition provisions: if you are maintaining status on 15 September 2026 and were admitted for D/S, you may remain until the programme end date on your currently valid I-20 or DS-2019, capped at four years from the effective date.

Do I need a new I-94 on 15 September?
No. The transition group does not need a corrected I-94. A new I-94 with a fixed date is issued if you leave and are readmitted after the effective date.

How long can F and J holders be admitted for now?
Up to the programme length on the I-20 or DS-2019, capped at four years, plus 30 days before the start date and 30 days after.

Has the F-1 departure period really been cut to 30 days?
Yes. The final rule reduces it from 60 to 30 days after completion of a course of study or post-completion practical training.

Is the State Department J-1 termination rule in force?
No. It was published on 30 July 2026 as a proposed rule and is open for public comment. Nothing in it binds sponsors or exchange visitors unless and until a final rule is issued.

Could the effective date change?
It could. The rule is subject to congressional review, and a lawsuit seeking to block it was filed on 18 August 2026.

For related coverage on Tamara News, see our reporting on New Zealand’s skilled migrant points settings and Canada’s French-language Express Entry draws.

24 Aug 2026
Silicon wafer in semiconductor manufacturing, the capacity being financed by AI infrastructure debt

AI Infrastructure Debt Balloons as Chipmakers Turn to Bond Markets

Categories Business

AI infrastructure debt has become the default way to pay for the computing build-out, and August 2026 made the shift hard to miss. AMD priced the largest bond sale in its history. Broadcom entered talks for a financing package that people familiar with the discussions put at between 60 and 100 billion dollars. Nvidia announced arrangements with six of the world’s biggest banks and asset managers to mobilise more than 500 billion dollars of third-party capital. Taken together, the month marked the point at which chipmakers stopped funding AI capacity mainly out of retained earnings and started funding it in credit markets.

That change of funding source is not a technicality. It alters who bears the risk if demand for AI computing arrives later or smaller than the spending assumes.

How AI infrastructure debt became the default funding tool

For most of the past decade the largest technology companies were asset-light. Software and scalable cloud services required modest capital investment relative to the cash they generated, and buybacks rather than bond issues were the story investors followed.

Moody’s describes the current period as a transition from asset-light to asset-heavy models requiring unprecedented capital raising, and projects capital expenditure across the group reaching about 785 billion dollars in 2026 and approaching a trillion dollars in 2027.

Cash flow, however strong, does not stretch that far on that timetable, so the money is coming from bond markets. S&P Global counted 225 billion dollars of bonds issued by hyperscalers and related entities including Nvidia in the first half of 2026, a rise of roughly 974 percent, and put the group on pace for about 400 billion dollars across the full year.

S&P also flagged signs of indigestion: issuers are paying a wider premium over risk-free yields, and market participants are growing wary of quickly rising leverage from companies previously known for reliable cash flow.

The deals that reset the scale of borrowing

AMD priced 4.75 billion dollars of investment-grade notes on 13 August 2026, its largest dollar bond offering, across four tranches with maturities from three to ten years. It was more than triple the 1.5 billion dollars the company raised in March 2025. AMD has said the proceeds are for general corporate purposes, which may include repaying existing debt, rather than earmarking them for AI projects.

Broadcom’s financing is larger and less settled. Bloomberg reported on 20 August that the company was in talks with lenders to raise more than 60 billion dollars for an AI chip deal serving Anthropic and other customers, with Blackstone and Apollo among the asset managers involved. CNBC reported the next day that the package was expected to reach upwards of 70 billion dollars, with accounts of a junior tranche taking the total towards 100 billion. The figures come from people familiar with the talks; terms are not final.

Nvidia’s approach is different again. On 10 August the company announced memorandums of understanding with Apollo, BlackRock, Blackstone, Brookfield, Goldman Sachs and KKR to establish compute financing platforms intended to mobilise more than 500 billion dollars of third-party capital over time. This is Nvidia’s own description of arrangements still subject to final agreements. If executed, they would channel institutional capital towards buyers of Nvidia hardware rather than onto Nvidia’s own balance sheet.

Foundry spending follows the same logic. TSMC issued 18.4 billion New Taiwan dollars of unsecured domestic bonds in May 2026, against board-approved capital appropriations of about 21 billion dollars for advanced machinery and capacity.

Financial market trading screens tracking the bond issuance behind AI infrastructure debt

Where the risk sits

Three features of this wave concern analysts more than the headline totals.

The first is what does not appear as debt. A study by Nikkei found that so-called hidden debt at five large US technology companies has grown roughly eightfold in four years to 1.65 trillion dollars, exceeding the 1.35 trillion dollars sitting on their balance sheets. These are long-term purchase commitments for chips and servers, and leases with data centre operators. They are legitimate under accounting rules and usually disclosed in the notes to financial statements, and much will convert into recognised obligations as facilities open. Moody’s separately put such arrangements at about 1.2 trillion dollars, more than 820 billion of it tied to data centres still under construction.

The second is circularity. Moody’s has pointed to a loop in which large technology firms invest billions in AI labs that then spend heavily on cloud computing from those same investors, so reported backlogs partly reflect capital the seller supplied. The Bank for International Settlements named opaque circular financing, alongside an AI capital spending bust and sovereign debt fragility, among the pressures identified in its 2026 annual economic report.

The third is crowding. Borrowing on this scale competes with government issuance at a moment when the US federal deficit is heading towards roughly two trillion dollars and the Federal Reserve is no longer a large buyer of Treasuries. RSM chief economist Joseph Brusuelas wrote in July that demand for both kinds of debt remains strong, “yet that will not endure indefinitely,” and that “at some point, the rivers of capital financing private and government debt issuance will flow less freely.”

None of this amounts to a distress call. Moody’s has been explicit that hyperscalers still hold some of the most robust balance sheets in the corporate world and that their investment-grade ratings face no imminent risk. The change is in the shape of the exposure, not its immediate severity.

What comes next for lenders and investors

The mechanical difference between funding capacity from earnings and funding it with borrowings is timing. Retained earnings absorb a disappointing year quietly: spending slows, and nothing is owed. Debt offers no such flexibility. Coupons and maturities fall due on fixed dates whether or not the servers financed are earning their keep.

Depreciation is a second pressure. The useful-life assumptions applied to AI accelerators are a live debate, and shorter lives mean higher charges against earnings just as interest costs rise.

Watch three things over the coming quarters. Spreads on new technology issuance show whether investor appetite is holding. Quarterly filings show how fast purchase commitments and leases convert into recognised liabilities. And the terms emerging from the Broadcom and Nvidia structures will decide whether compute-backed lending becomes a standing asset class.

Further down the chain, the shift is felt as pricing: financing costs embedded in compute contracts eventually reach the businesses renting capacity, a consideration for firms weighing where to base operations, a theme examined in our guide to UAE free zone and mainland business structures. The spread of AI tools into everyday operations, covered in our reporting on AI customer support for small businesses, is what the borrowing is ultimately meant to serve.

Key questions about the borrowing wave

How much have chipmakers and hyperscalers borrowed for AI in 2026?

S&P Global counted 225 billion dollars of bonds issued by hyperscalers and related entities including Nvidia in the first half of 2026, and put the sector on pace for about 400 billion dollars for the full year.

What was AMD’s August bond sale?

AMD priced 4.75 billion dollars of investment-grade notes on 13 August 2026 across four tranches, its largest dollar bond offering and more than triple the 1.5 billion dollars raised in March 2025. AMD said proceeds are for general corporate purposes.

What is meant by hidden or off-balance-sheet AI debt?

Obligations that do not appear as debt on a balance sheet, such as long-term purchase commitments for chips and servers or leases with data centre operators. A Nikkei study put these at 1.65 trillion dollars across five large US technology firms.

Are credit ratings at risk?

Moody’s has said hyperscalers still hold some of the strongest balance sheets in the corporate world and that their investment-grade ratings are not facing imminent risk, while warning that the shift to asset-heavy models requires unprecedented capital raising.

Why does funding AI with debt change the risk?

Retained earnings absorb a downturn quietly. Debt does not. Coupons and principal fall due on fixed dates regardless of whether the capacity being financed is generating revenue, and refinancing depends on markets staying open at tolerable spreads.

For more on how financial documentation requirements are tightening globally, read our analysis of proof of funds rules in the UK, Canada and Australia.

24 Aug 2026
Bank building facade in France, where AI credit scoring rules for lenders have been tightened

AI Credit Scoring Rules Tighten in France as EU Deadline Shifts

Categories Tech

France’s data protection authority has put AI credit scoring rules at the centre of its supervision of consumer lending, publishing a formal recommendation in May 2026 that tells banks, credit institutions and intermediaries how creditworthiness assessments must work when algorithms drive the decision. The move lands in an unusual regulatory moment: the EU AI Act classifies credit scoring as high-risk, but the obligations attached to that classification were postponed weeks before they were due to take effect, leaving data protection law carrying the weight for the next eighteen months.

The CNIL published its recommendation on assessing solvency in credit applications on 7 May 2026, after a public consultation the previous year and discussions with the banking members of its compliance club. It replaces AU-005, the single authorisation issued in 2008 that governed the area before the GDPR.

How France polices AI credit scoring rules today

The recommendation applies to private organisations that grant credit and to banking and payment services intermediaries. It covers consumer credit and mortgage credit governed by the French Consumer Code, and focuses on processing carried out to evaluate whether an applicant can repay.

Four themes run through the text. Data must be limited to what is relevant and strictly necessary. Past repayment incidents may be considered, but the recommendation specifies which data are relevant and strengthens what applicants must be told about how that history affects a new application. Retention periods are set for application data and records of past defaults. And the conditions under which a decision may rest on fully automated processing are spelled out, with safeguards of transparency, human intervention and explainability.

The final version also settled a legal basis question. Because the Consumer Code obliges lenders to assess solvency, institutions may ground the processing in legal obligation under Article 6 of the GDPR rather than relying on consent or legitimate interest.

The CNIL published an accompanying verification checklist for data protection officers and compliance teams, and said it will check compliance through its future inspection work. Credit scoring does not appear among its announced priority inspection themes for 2026, which are recruitment, the single electoral register and sports federations.

Automated loan application terminal, the kind of channel covered by AI credit scoring rules in Europe

The court rulings that reshaped automated lending decisions

The recommendation is built on two judgments of the Court of Justice of the European Union.

In Case C-634/21, decided in December 2023, the Court found that generating a probability value about a person’s ability to service a loan can itself constitute an automated individual decision within the meaning of Article 22 of the GDPR, where the recipient of that score draws on it in a determining way. The scoring entity, not only the lender acting on the score, is therefore in scope.

Case C-203/22, decided in February 2025, addressed what a data subject is entitled to know about the logic involved. The CNIL’s reading is precise and worth stating plainly: applicants have a right to an explanation after the decision, and the institution must make sure they understand their individual situation. That does not mean handing over a copy of the algorithm. It means a concise and comprehensible account of the mechanism that produced the outcome.

Why the AI Act’s documentation duties slipped to 2027

Annex III, point 5(b) of the EU AI Act classifies AI systems used to evaluate the creditworthiness of natural persons, or to establish their credit score, as high-risk. That classification carries a substantial package: risk management, data governance, technical documentation under Article 11, transparency towards deployers, human oversight, accuracy and robustness requirements, and registration in the EU database.

Those obligations were originally due from 2 August 2026. They no longer are. Regulation (EU) 2026/1744, the AI Omnibus, was published in the Official Journal on 24 July 2026 and entered into force on 27 July, moving standalone Annex III high-risk obligations to 2 December 2027 and Annex I embedded systems to 2 August 2028. The Article 50 transparency duties were not deferred and applied on schedule.

The practical effect for lenders is a sequencing problem rather than a reprieve. Technical documentation for a scoring model is not produced at the end; it depends on records of training data, validation results, performance monitoring and design choices captured while the model is built and run. Firms treating December 2027 as the start date will be reconstructing evidence retrospectively.

Meanwhile the GDPR obligations bind now, and they are not thin. Article 22, the transparency duties, data minimisation and the right to an explanation apply to automated scoring today, with or without the AI Act layered on top.

Who supervises what, and where the gaps are

France has not finished designating its AI Act authorities. A scheme published by the French directorates for enterprise and for competition, consumer affairs and fraud control proposes a decentralised model in which the DGCCRF serves as coordinating market surveillance authority and single point of contact under Article 70, with sectoral regulators including the CNIL and Arcom covering specific use cases. The proposal awaits adoption.

France is not unusual. Member states had to designate market surveillance and notifying authorities by 2 August 2025. As of mid-2026, on the Future of Life Institute’s tracker, nine had designated both, twelve had partial arrangements and six had designated neither.

Under the AI Omnibus, national authorities retain competence over AI systems used by financial institutions, so credit scoring supervision stays national.

What to watch over the coming months

Three dates shape the next phase. November 2026 brings the French legal authorisation for fully automated consumer credit decisions into application. December 2026 ends the AI Act’s marking grace period for generative systems already on the market. December 2027 is when the Annex III high-risk package, including Article 11 documentation, finally applies to credit scoring.

In between, the signal to watch is inspection activity. The CNIL has said it will verify compliance through its ordinary control work rather than a dedicated campaign, which means enforcement is more likely to surface through complaint-driven investigations and sanctions than through an announced sweep. Applicants refused credit by an automated process now have a clearly articulated right to an explanation, and complaints are the mechanism most likely to test it.

Lenders operating across borders face a further complication: the supervisory map differs by member state, so the same model may be examined by a data protection authority in one country and a market surveillance body in another. The same documentary discipline applies to anyone assembling financial evidence for regulated processes, a point covered in our guide to proof of funds requirements in the UK, Canada and Australia.

Questions readers are asking about automated lending

What did the CNIL publish on credit scoring in 2026?

On 7 May 2026 it published a recommendation on assessing creditworthiness in credit applications. It applies to private lenders and to banking and payment services intermediaries, covers consumer and mortgage credit under the French Consumer Code, and replaces the pre-GDPR authorisation known as AU-005.

Is credit scoring classified as high-risk under the EU AI Act?

Yes. Annex III, point 5(b) covers AI systems used to evaluate the creditworthiness of natural persons or establish their credit score. The obligations attached to that classification, including the Article 11 technical documentation duty, now apply from 2 December 2027.

What did the Court of Justice decide about automated credit decisions?

In Case C-634/21 the Court held that producing a probability score can itself amount to an automated decision under Article 22 of the GDPR where the score plays a determining role. Case C-203/22 addressed the right to an explanation of the logic involved.

Do applicants have a right to see the algorithm?

No. The CNIL is explicit that the right to an explanation does not mean handing over a copy of the algorithm. Institutions must give a concise, comprehensible explanation that lets the applicant understand their individual situation.

Which authority supervises AI systems in France?

France has not completed its designation. A published scheme proposes a decentralised model with the DGCCRF as coordinating market surveillance authority and single point of contact, and the CNIL and Arcom among sectoral authorities.

What changes for French lenders in November 2026?

The recommendation anticipates a legal authorisation, applying from November 2026, for fully automated decisions on consumer credit, together with the safeguards attached to it.

Related reading on European regulators acting against financial platforms is available in our coverage of the Noones shutdown and EU sanctions on user funds.

24 Aug 2026
European Union flag outside an institutional building, symbolising the EU AI Act transparency rules now in force

EU AI Act Transparency Rules Bite as High-Risk Deadline Slips

Categories Tech

The EU AI Act transparency rules became enforceable across the European Union on 2 August 2026, requiring companies to tell people when they are dealing with a machine, to mark AI-generated audio, images, video and text in a machine-readable format, and to label deepfakes. The same date had long been billed as the moment the Act’s heavier obligations for high-risk systems would bite. That did not happen. A separate regulation adopted weeks earlier pushed those duties back by more than a year, leaving Europe with a narrower set of requirements that are nonetheless binding right now.

The distinction matters, because the two tracks are often described together and they have now separated. Disclosure duties apply today, to any provider or deployer within scope, regardless of how the underlying system is classified. The documentation, risk management and human oversight obligations attached to high-risk classification do not.

What the EU AI Act transparency rules actually require

Article 50 of the Act sets out three groups of duties, and none of them depend on a risk classification.

First, providers of AI systems designed to interact directly with people, such as chatbots and virtual assistants, must ensure that individuals are informed they are interacting with an AI system, unless that is obvious from the context to a reasonably well-informed person.

Second, providers of systems that generate synthetic audio, image, video or text must mark the outputs in a machine-readable format that allows them to be detected as artificially generated or manipulated. Deployers who produce or manipulate content that constitutes a deepfake of real persons, places or events must disclose that the content is artificial. A parallel duty applies to AI-generated or manipulated text published to inform the public on matters of public interest.

Third, deployers of emotion recognition and biometric categorisation systems must inform the people exposed to them and process any personal data in line with EU data protection law. Narrow exceptions apply where such systems are permitted by law to detect, prevent or investigate criminal offences.

Breaches fall under Article 99(4), which provides for administrative fines of up to 15 million euros or 3 percent of worldwide annual turnover, whichever is higher. Enforcement sits with national competent authorities rather than with Brussels.

Two supporting instruments arrived shortly before the deadline. The European Commission adopted final guidelines on transparency obligations on 20 July 2026. A voluntary Code of Practice on Transparency of AI-generated Content, published in June, was confirmed by the Commission and the AI Board as an adequate route to demonstrating compliance; the Commission has said roughly 190 organisations had signed it by the end of July. Signing creates no new legal duty and does not displace the obligation in the Regulation itself.

One narrow carve-out survives. Providers of generative systems already on the market before 2 August 2026 have until 2 December 2026 to meet the machine-readable marking requirement in Article 50(2). Everything else applied on the day.

Why the high-risk deadline moved to December 2027

The instrument responsible is Regulation (EU) 2026/1744, known as the AI Omnibus. It was published in the Official Journal on 24 July 2026 and entered into force on 27 July, days before the deadline it amended.

The central change is timing. Obligations for standalone high-risk systems listed in Annex III, which cover recruitment, credit scoring, education, law enforcement, border control and critical infrastructure, now apply from 2 December 2027. High-risk AI embedded in products already regulated under Annex I product safety legislation, such as medical devices and lifts, applies from 2 August 2028.

The Omnibus made other adjustments. The AI literacy duty in Article 4 was softened, database registration was streamlined for systems assessed as not high-risk, and the post-market monitoring template became voluntary guidance. It also added a prohibition on AI systems generating non-consensual intimate imagery and child sexual abuse material, carrying fines of up to 35 million euros or 7 percent of worldwide turnover from 2 December 2026.

Governance shifted too. The European AI Office, rather than national regulators, now holds direct supervisory authority over AI systems built on general-purpose AI models by the same provider, and over AI features embedded in very large online platforms designated under the Digital Services Act.

Chatbot conversation on a smartphone screen, the kind of system covered by the EU AI Act transparency rules

Who is actually enforcing the new duties

Enforcement depends on national authorities, and the map is incomplete. Member states were required under Article 70 to designate a market surveillance authority and a notifying authority by 2 August 2025. Many did not.

According to the AI Act implementation tracker maintained by the Future of Life Institute, updated in June 2026, nine member states had designated both authorities, twelve had pending legislative proposals or had appointed only one, and six had designated neither. Fundamental rights authorities under Article 77 are in better shape: all 27 member states have published those.

France illustrates the pattern. A published scheme proposes a decentralised model, with the DGCCRF acting as coordinating market surveillance authority and single point of contact and sectoral regulators handling specific use cases. It has not completed its passage. Germany’s federal cabinet adopted a draft AI market surveillance bill in February 2026 naming the Bundesnetzagentur, but that text still requires approval by both chambers.

The obligations therefore bind companies everywhere in the single market from 2 August 2026, while the machinery for policing them is uneven. The Regulation is directly applicable, and where authorities exist they can act, so early enforcement is likely to be concentrated in the jurisdictions that finished their preparations.

Companies running customer-facing assistants are among the most immediately exposed, since chatbot disclosure is the simplest duty to check and the easiest to fail. Our earlier reporting on AI customer support on WhatsApp and Instagram sets out how quickly those tools have spread through small businesses.

The road ahead for AI compliance in Europe

The next fixed date is 2 December 2026. The marking grace period for pre-existing generative systems ends, so legacy tools must carry machine-readable provenance signals, and the new prohibition on nudification tools and CSAM-generating systems begins to apply at the Act’s highest penalty level.

After that, 2 August 2027 is the deadline for member states to establish AI regulatory sandboxes. Commission guidance on post-market monitoring is due by 2 September 2027. The deferred Annex III high-risk obligations arrive on 2 December 2027, and the Annex I obligations on 2 August 2028.

For businesses outside Europe, the reach is the familiar one. The Act applies to providers placing systems on the EU market and to deployers established in the Union, wherever the developer sits. A chatbot built anywhere that serves European users falls within scope.

Common questions about the new obligations

Which EU AI Act obligations became enforceable on 2 August 2026?

The transparency duties in Article 50. Providers of AI systems that interact directly with people must make clear users are dealing with a machine unless it is obvious from context. Providers and deployers of systems generating synthetic audio, image, video or text must mark those outputs in a machine-readable format, and deployers must disclose deepfakes of real people, places or events.

Did the high-risk AI system rules take effect on the same date?

No. Regulation (EU) 2026/1744, the AI Omnibus, entered into force on 27 July 2026 and moved the obligations for standalone high-risk systems listed in Annex III to 2 December 2027. High-risk AI embedded in products regulated under Annex I moves to 2 August 2028.

What are the penalties for breaching the transparency duties?

Article 99(4) sets administrative fines of up to 15 million euros or 3 percent of worldwide annual turnover, whichever is higher. National competent authorities enforce them.

Is there a grace period for existing generative AI systems?

A narrow one. Providers of generative systems already on the market before 2 August 2026 have until 2 December 2026 to meet the machine-readable marking obligation in Article 50(2). The other duties applied immediately.

Does signing the Code of Practice guarantee compliance?

No. The Code is voluntary and creates no new legal duties. The Commission and the AI Board have confirmed it is adequate for demonstrating compliance with Article 50, so following it is a recognised route, but the obligation sits in the Regulation itself.

For related coverage of how European regulators are applying digital and financial rules in practice, see our report on the Noones shutdown and the handling of user funds under EU sanctions.

24 Aug 2026
The Federal Reserve building in Washington, where a Federal Reserve September rate hike will be decided

Fed Holds at 3.50%-3.75% as September Rate Hike Stays Live

Categories Business

A Federal Reserve September rate hike remains firmly in play after the Federal Open Market Committee left its benchmark rate unchanged at 3.50% to 3.75% on 29 July, the fifth consecutive meeting at which it has stood pat. The decision passed on a 9-3 vote. Three policymakers dissented, each preferring an immediate quarter-point increase, and the committee’s statement pointed directly at the war in the Middle East as a source of elevated uncertainty.

The July meeting was the second chaired by Kevin Warsh, who was sworn in on 22 May 2026. Note that there was no Federal Reserve policy meeting in August; the committee’s next scheduled decision is on 16 September.

The vote, the dissents and the statement

The FOMC statement was unusually short. “The Committee decided to maintain the target range for the federal funds rate at 3-1/2 to 3-3/4 percent, in support of the Federal Reserve’s dual mandate,” it read, adding that the Fed is continuing its policy of maintaining ample reserves in the banking system.

On the economy, the committee said activity “is expanding at a solid pace despite elevated uncertainty that owes, in part, to the conflict in the Middle East”, that productivity growth and capital investment are strong, that job gains have kept pace with the workforce and that the unemployment rate has changed little.

On prices, it was direct: “Inflation remains elevated relative to the Committee’s 2 percent goal, in part reflecting supply shocks that have driven price increases in certain sectors, including energy.” The statement closed with a single sentence that markets read as a signal of intent: “The Committee will deliver price stability.”

Voting against were Beth M. Hammack of Cleveland, Neel Kashkari of Minneapolis and Lorie K. Logan of Dallas, all of whom preferred to raise the target range by a quarter of a percentage point at that meeting. Three dissents in a single direction is rare, and it is the clearest available signal that the committee’s centre of gravity has shifted towards tightening.

Why a Federal Reserve September rate hike is still live

Trading screens showing market data ahead of a possible Federal Reserve September rate hike

J.P. Morgan Wealth Management changed its base case shortly after the meeting, moving from no rate changes in 2026 to a quarter-point increase in September. Its chief investment strategist, Phil Camporeale, put it this way: “The combination of a slower-than-expected normalization of supply chains around the Strait of Hormuz and market questioning of inflation-fighting credibility after the July FOMC meeting has lowered the bar for a rate hike in September.”

The firm said on 5 August that futures pricing implied a roughly 65% chance of a September hike. It also noted that Warsh again offered limited forward guidance at his press conference, leaving markets with little to work with, and that the bond market repriced accordingly: short-term yields eased slightly after the meeting while long-term yields rose sharply, with the 30-year Treasury reaching its highest level since 2007.

The framing matters. On this reading, a September move would not be a response to an overheating economy. It would be a credibility exercise designed to keep long-run inflation expectations anchored while an external supply shock works its way through the price data.

What the inflation data shows

The most recent reading, published by the Bureau of Labor Statistics on 12 August, gives both camps something. The consumer price index rose 0.1% in July on a seasonally adjusted basis after falling 0.4% in June, and 3.4% over the 12 months to July, easing from 3.5% in the year to June. Core inflation, excluding food and energy, rose 0.2% on the month and 2.5% over the year.

Energy is where the conflict shows up. The energy index fell 1.5% in July, its second consecutive monthly decline, but was still 14.7% higher than a year earlier. Petrol prices were up 24.6% over 12 months and fuel oil up 39.1%. Airline fares, which track jet fuel with a lag, were 25.5% higher over the year. Shelter, the largest single component, rose 3.2%. The full release is available from the Bureau of Labor Statistics.

In other words, the headline rate is drifting down and core inflation is close to target, but the energy shock has not cleared. That is precisely the configuration that produces a split committee: one group sees disinflation in train, the other sees a supply shock that could re-accelerate if the Strait of Hormuz stays contested.

The data that lands before the decision

Two scheduled releases will shape the September meeting. The August consumer price index is due on Friday 11 September, four days before the committee convenes. Labour market data through August will also be in hand. J.P. Morgan Wealth Management has said that a string of cooler inflation prints, or a faster easing of energy-driven pressure, could remove the need for a credibility-focused hike altogether.

The larger variable is not economic but geopolitical. Shipping through the Gulf remains disrupted, and the pace at which supply chains around the strait normalise will do more to shape US energy prices over the autumn than anything the committee says. The firm’s strategists put crude at around $80 a barrel on 3 August and set out a scenario in which prices climb towards $120 if blockades persist and reserves cannot cushion supply, a level they described as manageable for the US economy but challenging for markets.

For households and savers, the practical effect of a single quarter-point move is modest, but the direction of travel matters for anyone borrowing, saving or moving money across borders. Documentation standards for cross-border transfers have already tightened this year, as our guides to proof-of-funds requirements in the UK, Canada and Australia and to the Noones shutdown and its effect on user funds both show.

Reader questions on the Fed decision

What did the Fed decide in July 2026?

The Federal Open Market Committee voted 9-3 on 29 July 2026 to keep the target range for the federal funds rate at 3.50% to 3.75%, the fifth consecutive meeting at which the range was left unchanged.

Who dissented, and what did they want?

Beth M. Hammack, Neel Kashkari and Lorie K. Logan voted against the decision. All three preferred to raise the target range by a quarter of a percentage point at that meeting.

When is the next Federal Reserve meeting?

The FOMC next meets on 15 and 16 September 2026, with the rate decision due on Wednesday 16 September at 2:00 p.m. Eastern time.

What is the current US inflation rate?

The Bureau of Labor Statistics reported that the consumer price index rose 0.1% in July on a seasonally adjusted basis and 3.4% over the 12 months to July, down from 3.5% in the year to June. Core inflation, excluding food and energy, was 2.5% over the year.

How is the Middle East conflict affecting the decision?

The FOMC statement said economic activity is expanding at a solid pace despite elevated uncertainty that owes, in part, to the conflict in the Middle East, and attributed part of elevated inflation to supply shocks in certain sectors including energy. Energy prices were up 14.7% over the year to July.

Who is the current Fed chair?

Kevin Warsh, who took the oath of office as chairman of the Board of Governors on 22 May 2026 and was selected unanimously by the FOMC as its chairman. July was his second meeting in the chair.

Tamara News covers central bank decisions and their effect on prices, borrowing and cross-border money. See our related business and finance reporting linked in this article.

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