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Category Archives: Tech

Washington Is Quietly Rewriting the Rules for AI Chips — Here’s What’s Coming

The Commerce Department has confirmed new Commerce Department chip regulation is coming for artificial-intelligence hardware. Officials are staying deliberately vague on timing and targets. The signal follows a rule that already took effect January 15, 2026. That rule lets the Bureau of Industry and Security review license applications for advanced AI chips bound for China and Macau. Officials handle each application case by case. Exporters must first meet a set of supply, security and testing conditions. A further rule is expected. No formal date has been set.

What the Commerce Department has actually confirmed

A Commerce Department official confirmed that regulatory action targeting chips and artificial intelligence is coming. The confirmation stayed thin on specifics by design. Officials gave no formal rulemaking date. They also gave no defined target list.

Semiconductor wafer technology tied to Commerce Department chip regulation

How the current Commerce Department chip regulation already works

The Bureau of Industry and Security’s rule took effect January 15, 2026. It changed the export-license review policy for certain advanced computing semiconductors destined for China and Macau. Officials now evaluate license applications for specific AI chips case by case. Exporters must meet a series of supply, security and testing conditions first.

Why officials are staying vague on specifics

Commerce Department officials confirmed harsh new AI export rules are coming. At the same time, they explicitly denied reports that the administration plans to revive the Biden-era AI Diffusion Rule. That denial came from officials responding to reporting on the confirmation. Officials describe the coming approach as a new, separate framework for strategic AI accelerator export controls. They say it is not a return to the earlier rule.

Who this affects first

Chipmakers with significant AI accelerator sales bound for China face the most direct exposure. That includes firms like Nvidia and AMD, both exposed to any tightening of the current case-by-case review process. Cloud providers and enterprise buyers could also feel indirect effects. Many of them depend on those chips for AI infrastructure outside the US, so longer licensing timelines or stricter approval conditions would touch them too.

Why chip export policy keeps shifting

US policy on advanced AI chip exports has moved through several iterations in recent years. It reflects an ongoing balancing act. National-security concerns sit on one side. The commercial interests of American chipmakers sit on the other, since these firms rely heavily on international sales, including to China. Each round of rulemaking draws public comment from industry groups. They warn about losing market share to non-US competitors. National-security voices push back the other way, arguing for tighter controls. That tension will likely shape whatever the Commerce Department proposes next. Previous rounds of chip export policy have also triggered retaliatory measures and workaround strategies from affected buyers. That history makes each new rule as much a diplomatic and commercial calculation as a technical one.

What happens once a formal rule appears

Export-control rulemaking like this typically moves through a formal proposal and comment process before taking effect. Industry pushback tends to follow once specifics get published. No timeline has been set publicly for that next step. Still, the January 2026 rule offers a template for how any new case-by-case licensing framework might look.

What companies can do while they wait

Chipmakers and their customers cannot yet plan around specific new terms, since none have been published. Legal and trade-compliance teams typically use this waiting period to review how the current January 2026 licensing framework has applied to their own shipments. That groundwork often makes it easier to respond quickly once a formal proposal appears and a public comment window opens. Companies with large China-linked AI hardware businesses have historically been among the most active participants in these comment periods, given how directly the rules affect their revenue.

How markets have reacted to past chip-policy signals

Chip stocks have moved on export-policy headlines before, even without a finalized rule in hand. A confirmed signal from the Commerce Department, absent specifics, tends to produce a milder market reaction than an actual published rule. Traders generally wait for the formal proposal before repricing individual stocks, since the eventual details, not the advance warning, determine which companies gain or lose the most.

AI chip export rules: quick answers

What is the Bureau of Industry and Security?

It is the arm of the US Commerce Department responsible for administering export controls, including on advanced semiconductors.

Did the US bring back the AI Diffusion Rule?

No. Commerce Department officials denied that. They describe the coming approach as new and separate from the Biden-era rule.

Which chips are affected right now?

Advanced AI accelerators bound for China and Macau. Officials currently review them case by case under the rule that took effect January 15, 2026.

When will the new Commerce Department chip regulation take effect?

No date has been set publicly as of this report.

Does this affect Nvidia specifically?

Yes, indirectly. Nvidia sells substantial AI hardware bound for China, which puts it directly in the path of any further tightening.

Where can I read the current export rule in detail?

Legal analyses of the January 2026 rule break down the current case-by-case review conditions. Firms that track export-control policy publish these regularly.

Related coverage on Tamara News

5 AI Customer Service Tools Qatar Businesses Actually Use in 2026

Answering customers at 2am used to mean a night-shift agent or an unanswered message. AI customer service in Qatar has largely closed that gap. A growing list of platforms now handle WhatsApp, Instagram and website chats around the clock, in Arabic and English. Businesses no longer need extra night staff to cover it. This roundup compares five platforms. It starts with a WhatsApp-first tool for small GCC businesses. Then it moves to the enterprise platforms bigger regional operations already run.

1. Replio: AI customer service built for Qatar businesses

Replio targets small and mid-size businesses with a WhatsApp-first AI customer service agent. It runs a Doha-based support line alongside its global product. It connects WhatsApp, Instagram DMs, Facebook Messenger, Telegram and a website chat widget into one shared inbox. It answers in more than 50 languages and reads photos and voice notes, not just typed text.

Replio builds its knowledge base from a business’s own FAQs, prices and policies. Answers reflect that specific business rather than a generic script. Beyond answering questions, Replio can take payments, book appointments and capture leads directly inside the conversation. It aims to complete the task itself, rather than log a ticket for a human to finish later.

Replio skips the usual technical hurdles during setup. WhatsApp connects in three clicks through Facebook login, with no developer account, API tokens or token-expiry issues to manage. Replio says the whole process takes under a minute. It needs no code and no in-house IT team.

Pricing starts free forever for Telegram and the web widget, capped at 50 messages a month. A WhatsApp-only tier costs $70/month. The Starter tier covers all channels at $150/month, Pro costs $300/month and Business costs $450/month, with discounts for annual billing. Businesses can try a 14-day free trial with no card required at the official Replio site.

2. Zendesk AI Agents: enterprise-grade customer service in Qatar

Zendesk ranks among the largest customer-service platforms in the world. Its AI Agents target teams that already run a full support desk. They hold a cross-channel conversation: a customer can start in chat, move to email, and finish on a phone call without repeating themselves. The agents support more than 80 languages, including switching languages mid-conversation. Agent Builder, a no-code tool, lets a business define its own policies and workflows without a development team.

Zendesk’s base Suite plans run from around $55 to $115 per agent per month, billed annually. Copilot costs $50 per agent as an add-on, and Zendesk bills AI Agent resolutions separately at roughly $1.50–$2 each. It suits larger support operations already using Zendesk, not a business setting up chat for the first time.

3. Freshworks Freddy AI: customer service automation for Qatar teams

Freddy AI is Freshworks’ AI suite across Freshdesk and Freshchat. It splits into two parts: an AI Agent that handles conversations independently, and a Copilot that assists human agents. The Copilot suggests replies, summarizes tickets and adjusts tone. It covers web chat, email and messaging channels including WhatsApp, Facebook and Instagram Messenger, and SMS, depending on the plan.

Freshchat has a genuine free tier covering a chat widget, shared inbox and basic permissions. This suits a small team testing live chat before paying for AI. Freshworks bills the Freddy AI Agent itself by session, at roughly $49 per 100 sessions. Copilot costs $29 per agent per month separately, on Pro and Enterprise plans.

AI customer service in Qatar

4. Fin AI (formerly Intercom): customer service after the Salesforce deal

Fin, previously marketed as Intercom’s AI agent, reads a customer’s question and searches the business’s own content for an answer. It replies in a human-like way. Salesforce agreed in June 2026 to acquire the company for roughly $3.6 billion. Salesforce says Fin already resolves around 76% of incoming requests on its own across its customer base. Once the deal closes, Salesforce plans to fold Fin’s technology into its Agentforce platform.

Salesforce prices Fin per outcome rather than per seat. A resolution, procedure handoff or disqualification costs $0.99; a qualified lead costs $9.99, with a 50-outcome monthly minimum. Running Fin stand-alone with a platform like Salesforce or HubSpot carries a $49.50 monthly minimum. Running it inside Intercom itself requires at least one paid seat, costing $29 to $139 a month.

5. AnswerForMe: WhatsApp customer service built for Qatar

AnswerForMe markets a WhatsApp-focused AI chatbot specifically to Qatari and wider GCC businesses. Its solutions page targets the local market directly. It says its AI resolves around 70% of inquiries without human intervention, handling customer service, sales questions and lead capture. Setup takes about five minutes and needs no technical knowledge. AnswerForMe doesn’t publish full pricing on its site, though it offers a free tier. Interested businesses must request a quote for paid plans directly through AnswerForMe’s Qatar page.

AI customer service in Qatar: how to choose

The right pick depends mostly on team size and existing tools. A business already running Zendesk or Salesforce gets the most value from Zendesk AI Agents or Fin. Both plug into infrastructure that’s likely already in place. A small or mid-size business messaging customers mainly on WhatsApp and Instagram does better with a WhatsApp-first tool like Replio or AnswerForMe. Neither needs a developer or a support-ops team to set up. Freshworks Freddy AI sits in between, useful for a team that wants a proper ticketing system alongside AI without Zendesk-level cost. If a business’s essential apps in Qatar already include WhatsApp and Instagram, a WhatsApp-native option usually answers customers fastest. This also applies to a company newly setting up in Qatar, since it skips the need for a night shift entirely.

AI customer service in Qatar: frequently asked questions

What is the best AI customer service tool for a small business in Qatar?
A business messaging customers mainly on WhatsApp and Instagram, without an existing help desk, usually sets up faster with a WhatsApp-first tool like Replio or AnswerForMe than with an enterprise platform.

Do these AI tools support Arabic?
Yes. Replio answers in more than 50 languages including Arabic, Zendesk supports more than 80 languages, and Freddy AI and AnswerForMe both operate in Arabic-speaking markets including Qatar.

Can AI customer service tools take payments in Qatar?
Replio can take payments directly inside a conversation. Zendesk, Freddy AI and Fin generally handle support and lead-handling rather than in-chat payments, though they can route a customer to a payment link.

Is Intercom still called Intercom in 2026?
The company’s AI product now goes to market as Fin. Salesforce agreed in June 2026 to acquire it and plans to fold its technology into Salesforce’s Agentforce platform once the deal closes.

Do any of these tools require a developer to set up?
Replio and AnswerForMe both set up without a developer or IT team. Zendesk’s Agent Builder is no-code but assumes an existing Zendesk account and support workflow; Freddy AI setup depends on the Freshdesk/Freshchat plan in use.

Is there a free option?
Replio offers Telegram and web-widget access free forever up to 50 messages a month. Freshchat has a genuine free tier for web chat. AnswerForMe offers a free tier without published limits. Zendesk and Fin don’t offer a meaningful free tier for AI agents.

Related Guides

Social Media Addiction Lawsuits Against Meta and Google Multiply

Big technology platforms are facing a wave of litigation over claims that their products are designed to be addictive to young users. A landmark verdict in March, followed by a fresh trial that opened this month, has put the industry’s legal exposure in sharp focus: the social media addiction lawsuits now number in the thousands, with Meta and Google among the most exposed defendants.

How the social media addiction lawsuits reached this scale

social media addiction lawsuits

A Los Angeles jury found Meta Platforms and Google negligent in the design and operation of their platforms, awarding $6 million to a 20-year-old plaintiff in what plaintiffs’ attorneys called a landmark verdict. That case has opened the floodgates: thousands of additional lawsuits are now working through courts, with a new Meta trial examined in detail by Bloomberg, which reports the litigation could reshape how platforms design recommendation algorithms and engagement features for minors.

Plaintiffs argue the companies engineered features such as infinite scroll, autoplay and variable-reward notifications specifically to maximize time spent on the apps, with insufficient regard for the mental health impact on teenage users, according to reporting from Time.

Why state legislatures are moving too

The courtroom pressure is being matched by new state laws. Illinois enacted legislation in July barring platforms from using minors’ viewing histories or device data to curate feeds, restricting notifications between 10pm and 7am, and requiring stronger default privacy settings for younger users, though the law does not take effect until 2028. At least 40 states and Puerto Rico considered more than 300 measures related to children and social media during the 2026 legislative session, with roughly 10 adopting new laws or resolutions.

How platforms are responding

Meta and Google have both said their platforms already include parental controls and age-appropriate design features, and they are contesting the negligence findings on appeal. The industry has also been lobbying against some of the more restrictive state bills, arguing that broad content-curation limits could conflict with federal law and free-speech protections. The dynamic echoes tensions elsewhere in tech regulation, including how platforms are adapting customer-facing AI tools under scrutiny, a theme we’ve tracked in small businesses using WhatsApp and Instagram AI support tools.

What comes next for the platforms

More trials are scheduled through the rest of 2026, and a coordinated multidistrict litigation process is consolidating discovery across many of the individual cases, which could speed settlements or set precedents that shape future verdicts. Meanwhile, more states are expected to introduce youth social media legislation when new sessions begin in January, meaning the regulatory and legal pressure on platforms is unlikely to ease soon. Investors are also watching closely: repeated adverse verdicts could push platforms toward costly design changes or settlements that dent margins already under pressure from heavy AI infrastructure spending, a dynamic we examined in our coverage of AI infrastructure debt across the tech sector.

Regulators outside the US are watching too. The EU’s own push to police algorithmic transparency, which we covered in our report on the EU AI Act’s transparency rules, has already forced some platforms to disclose more about how their recommendation systems work, and plaintiffs’ lawyers in the US cases have signaled they may look to those disclosures as evidence in future filings.

Social media lawsuits: frequently asked questions

What triggered the wave of social media addiction lawsuits?
A March verdict found Meta and Google negligent in platform design, awarding $6 million to a plaintiff, which opened the door to thousands of additional suits.

What do plaintiffs allege?
They argue platforms used features like infinite scroll and variable-reward notifications to intentionally maximize engagement among minors, harming their mental health.

Which companies are named in the litigation?
Meta, Google, TikTok and Snap are among the companies facing lawsuits, according to reporting on the litigation.

What did Illinois’ new law do?
It restricts the use of minors’ data for feed curation, limits nighttime notifications, and strengthens default privacy settings, though it does not take effect until 2028.

How many states have considered similar legislation?
At least 40 states and Puerto Rico considered more than 300 related measures during the 2026 legislative session.

Are the companies appealing the verdicts?
Yes, Meta and Google are contesting negligence findings while pointing to existing parental control and safety features.

Nvidia H200 Chips Head Back to China Under Revised Export Rules

Nvidia has secured a path to keep selling advanced AI processors to China, reopening a market that had been effectively closed under earlier export restrictions. Reports this month confirmed Nvidia H200 chips China shipments are moving forward, with Chinese technology firms including ByteDance and Tencent reportedly receiving around 10,000 H200 units each in recent weeks under the revised US export framework.

How Nvidia H200 chips China sales became possible

Nvidia H200 chips China

The shift follows a January 2026 rule from the US Commerce Department’s Bureau of Industry and Security that moved export license reviews for certain advanced semiconductors from a presumption of denial to case-by-case approval, provided chips meet specific supply, security and testing conditions, according to policy analysis from the Council on Foreign Relations. That policy reversal opened the door for Nvidia to resume large-scale H200 shipments after months of restricted access.

Separately, reports emerged in August that Nvidia was preparing a China-specific chip built on licensed technology, though the company disputed the report, with a spokesperson saying it has “no China-specific LPU product in our roadmap” at this time, according to GuruFocus.

Why the export policy keeps shifting

Washington has swung between tightening and loosening AI chip export rules for more than a year, reflecting a tension between national security concerns and the commercial interests of US chipmakers who don’t want to cede the Chinese market to domestic rivals. A separate rule tightening tranche was drafted and then withdrawn by Commerce in March 2026 before it took effect, underscoring how unsettled the policy remains even as chips actually begin moving.

What it means for the broader AI supply chain

The renewed China access matters beyond Nvidia’s balance sheet. AI chip demand has been a major driver of the debt-financed data center buildout we detailed in our coverage of AI infrastructure debt and chipmaker bond markets, and any change in where chips can legally ship affects both revenue projections and regulatory risk for the sector. It also intersects with broader efforts to regulate AI systems, including the transparency rules that took effect under the EU AI Act this month.

Where Nvidia’s China access goes from here

Congress and China hawks within the administration are expected to keep pushing back against the case-by-case approval framework, meaning the policy could tighten again with little notice. Nvidia, for its part, has said it will continue complying with whatever rules are in force rather than banking on any particular policy outcome. Investors are watching third-quarter earnings guidance for signs of how much revenue the resumed China shipments are actually contributing.

Rival chipmakers are watching closely too, since any framework that works for Nvidia could set a template other companies try to use for their own China-bound products. Analysts caution that the back-and-forth nature of the policy this year, tightening in some months and loosening in others, makes it difficult for chipmakers to plan production and inventory with confidence, and some firms have said they are deliberately keeping China-bound supply chains flexible enough to redirect volume elsewhere if the rules shift again. Semiconductor equipment makers, memory suppliers and cloud providers that depend on predictable chip allocation are all factoring this policy volatility into their own planning, with several citing export-rule uncertainty as a specific risk factor in recent investor disclosures.

Nvidia chip exports: frequently asked questions

What changed to allow Nvidia H200 chips China shipments?
A January 2026 Commerce Department rule shifted export license reviews for qualifying advanced chips from presumed denial to case-by-case approval.

Which Chinese companies are reportedly receiving H200 chips?
Reports indicate ByteDance and Tencent have each received approximately 10,000 H200 units in recent weeks.

Is Nvidia building a China-specific AI chip?
Reports suggested this, but Nvidia has publicly denied having a China-specific LPU product on its roadmap.

Could the export rules tighten again?
Yes. Commerce has already drafted and withdrawn one tightening rule in 2026, and policy pressure from China hawks in Congress continues.

Why does this matter for the AI industry beyond Nvidia?
Chip export access affects revenue forecasts across the AI supply chain, including data center financing tied to chipmaker performance.

Are these chips subject to any conditions?
Yes, approvals require chips to meet specific supply, security and testing conditions set by the Bureau of Industry and Security.

AI Credit Scoring Rules Tighten in France as EU Deadline Shifts

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.