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Not Just for Big Tech: SMBs Must Heed EU AI Law, Too | PYMNTS.com

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Small and medium-sized businesses (SMBs) developing or using artificial intelligence (AI) systems must comply with the European Union’s AI Act, even if they are not based in or have a presence in the bloc.

Experts say that due to the Act’s scope, many U.S.-based SMBs could be affected and should take steps now to evaluate their exposure. This includes using AI to generate content that is accessed by EU citizens.

A key deadline is Aug. 2, which marks the start of the enforcement of general-purpose AI governance rules. The first deadline, Feb. 2, pertained to “high-risk” AI systems and the final deadline, Aug. 2, 2026, is when the rest of the rules become enforceable.

The AI Act, formally adopted in 2024, is the world’s first comprehensive AI regulation. It introduces a risk-based framework for AI systems placed on the EU market or whose outputs are used in the EU. Failure to comply brings fines of up to 35 million euros ($40 million) or 7% of annual revenue, whichever is higher, according to the EU.

“The EU AI Act will require compliance by U.S. companies if they do business in the EU — otherwise they risk massive fines,” Robert Harrison, a Europe-based patent lawyer at Sonnenberg Harrison, told PYMNTS. “SMBs cannot simply ignore regulations because the U.S. federal government has different ideas on AI regulation.”

Unlike laws that exempt small businesses, the AI Act bases its scope on the nature of the technology, not company size. “It is a risk-based framework that applies to any company that places, makes available, or uses an AI system in the EU or whose outputs are used in the EU,” Scott Bickley, advisory fellow at Info-Tech Research Group, told PYMNTS.

That means “if you offer an AI product to the EU market, or even if the output of your AI is used in the EU, you’re on the hook,” Wyatt Mayham founder of Northwest AI Consulting told PYMNTS.

For example, a U.S.-based marketing firm using artificial intelligence to generate ad copy for a client’s campaign in Germany has to comply, Mayham said.

A simple way to think about it is this: “If you’re building AI that could affect people’s jobs, health or finances, you’ll have to follow tighter rules. But if you’re making tools like chatbots or smart assistants, it’s mostly about being transparent — letting people know they’re talking to AI,” Shay Boloor, chief market strategist at Futurum Equities, told PYMNTS.

See also: European Commission Says It Won’t Delay Implementation of AI Act

How to Comply With the EU AI Act

Mayham said the exact compliance requirements will depend on where SMBs fall in the AI Act’s four AI risk levels:

  • Unacceptable risk: AI systems that do social scoring or untargeted facial recognition.
  • High-risk systems: These include AI used in hiring, education, credit scoring or infrastructure. It must comply with the Act’s rules for risk management, data governance transparency and registration.
  • Limited risk systems: SMBs using an AI chatbot like ChatGPT or Perplexity to create content or generate deepfakes must disclose AI use and content must be labeled as AI-generated.
  • Minimal risk systems: These include using AI in spam filters or video games. They do not face binding rules but users are encouraged to follow voluntary codes of practice.

Andrew Gamino-Cheong, CTO and co-founder of Trustible, a company that helps enterprises comply with regulations, said SMBs that don’t believe they are building a “high risk” tool should double-check.

“Any SMB building a tool off OpenAI [models] or Claude can still end up being considered a ‘provider’ of a high-risk system and get subjected to its requirements,” Gamino-Cheong told PYMNTS.

Bickley said the EU does provide some relief for smaller businesses:

  • Access to free regulatory sandboxes where SMBs can test AI under supervision without risking full liability.
  • Simplified technical documentation templates for high-risk systems.
  • Reduced conformity assessment fees for smaller companies.
  • Dedicated helplines and training from national supervisory authorities.

Still, “the core requirements are not waived and apply equally to all applicable organizations,” Bickley said.

To get started, Mayham and Bickley recommend the following steps:

  • Audit and classify: SMBs can’t comply if they don’t know what they have. Create an inventory of every artificial intelligence system being used or built and classify its risk level under the Act. There are even free online checkers from groups like the European Digital SME Alliance.
  • Address high-risk systems first: Start building the compliance framework now and document data sources, establish a risk management process, and ensure meaningful human oversight. High-risk obligations start to take effect in 2026.
  • Perform a compliance gap analysis, design a compliance process, implement a quality management system suitable for SMBs (for example, ISO 42001 or NIST AI RMF) and ensure transparency by disclosing the use of AI in chatbots, deepfakes and gen AI outputs.
  • Perform vendor due diligence, including requiring them to provide proof that they comply with the AI Act. Monitor standards and codes of practice in an ongoing manner in case of EU changes.

Boloor urged SMBs not to view compliance as a burden, but as an opportunity for growth.

“I don’t see the EU AI Act as a death blow for SMBs — it’s more of a filter. You’re not off the hook, but you’re not being crushed either,” Boloor said. “The earlier you learn to play by the rules, the faster you can grow. Big companies want compliant, trusted partners — and if you get ahead of this, that can be you.”

Read more:

OpenAI CEO Sam Altman: EU Regulations Could Limit Access to AI

Homeland Security Head Criticizes EU’s ‘Adversarial’ AI Approach

OpenAI, Australia and EU Each Push Own AI Regulations

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US Proposes to Expand Delivery Drone Flights  | PYMNTS.com

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The Trump administration has proposed a rule to significantly expand drone operations, which could alter America’s shopping habits, boosting retailers like Walmart and Amazon as they expand into delivering consumer packages by autonomous aircraft.

The proposal, unveiled on Tuesday (Aug. 5), aims to safely integrate drones — technically called unmanned aircraft systems — into the national airspace. Under current rules, operators must seek individual waivers for flights beyond the drone operator’s direct line of visual sight.

The Federal Aviation Administration’s (FAA) Bryan Bedford said comments accompanying the rule announcement that the “Beyond Visual Line of Sight” proposal is key to realizing drones’ societal and economic benefits.” He cited package delivery first, followed by agriculture, aerial surveying, public safety, recreation and flight testing.

An FAA fact sheet said that under the proposal, drone operations would occur at or below 400 feet above ground level, from pre-designated and access-controlled locations. Operators would need FAA approval for the areas where they intend to fly, and proposals for a single operator to fly multiple drones would be evaluated on a case-by-case basis.

Late last year, Amazon’s Prime Air drone delivery service got a boost with new drones that have double the range and half the noise of previous models.

Approved by the FAA the month before, the drones began operations in select areas of Arizona and Texas, delivering small packages weighing up to five pounds. The retail behemoth paused the aircraft for two months for a software upgrade but resumed flights in April. Amazon aims to deliver 500 million packages by drones by the end of the decade, with groceries and other retail goods on a customer’s doorstep within an hour of ordering.

In June, Walmart expanded its ultra-fast drone delivery across five states to Arkansas, Florida, Georgia, North Carolina and Texas.

Accounting firm PWC sees drones making 808 million deliveries to global consumers by 2034, at an average cost of around $2 per package. 

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Household Debt Rises to $18.39 Trillion as Auto, Mortgage Originations Tick Up | PYMNTS.com

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Mortgage balances led the rise, growing by $131 billion to $12.94 trillion as housing activity remained stable despite affordability concerns. Auto loan originations also climbed, totaling $188 billion — up from $166 billion in Q1. Credit card balances rose by $27 billion, while lenders expanded aggregate credit limits by $78 billion, pointing to continued lender optimism in extending consumer credit. 

But that expansion came alongside rising signs of financial pressure. Student loan delinquencies surged as paused missed payments resumed reporting. The share of seriously delinquent student debt jumped to 12.9% — up from just 0.8% a year ago. More than 2.2 million borrowers saw their credit scores fall by over 100 points, and 1 million lost at least 150. Bloomberg Economics estimates these credit shocks could pull $63 billion in consumer spending out of the economy on an annualized basis.

Delinquency rates for mortgages and home equity lines of credit also ticked up, though performance remains strong relative to historical benchmarks. Still, rising mortgage costs have pushed 70% of households earning more than $100,000 into living paycheck to paycheck — a sharp shift in financial stability among higher-income consumers. 

As traditional credit becomes harder to manage, younger consumers are turning to alternatives. Buy now, pay later (BNPL) usage continues to rise, especially among Generation Z and younger millennials — 58% of whom now prefer BNPL over credit cards. That shift is also shaping commerce habits: 43% of shoppers now choose merchants based on whether installment plans are available.

At the same time, 69% of Gen Z consumers report living paycheck to paycheck. One in three U.S. adults also said they experience surprise expenses of several hundred dollars each year — making short-term financing tools more of a necessity than a convenience. 

Together, these trends reveal a consumer credit landscape in flux. Borrowing continues to rise, but so do the risks tied to repayment, especially for younger and mid-income households navigating higher costs and shrinking buffers.

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Upstart Sees Surge in Demand for Auto and Small Dollar Loans | PYMNTS.com

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Triple-digit gains across key business segments — as measured in loan originations and revenues — were not enough to stave off a 7% drop in Upstart Holding’s shares in after-market trading on Tuesday (Aug. 5).

Company materials revealed that revenues surged 102% year on year in the second quarter, while the platform’s loan originations topped more than 372,590 in the period, up 159%. 

The data showed that as loans topped $2.6 billion, personal loan originations were up 143%. The company also noted that borrowers with super-prime FICO scores represented 26% of originations.

Upstart’s management noted on the call that other business lines such as auto-related loans also saw growth. The platform originated more than 4,600 auto loans in the second quarter, up more than 6x from a year ago and up 87% sequentially, equating to $114 million in volume. Home loans were up by 9x year on year to $68 million in originations, jumping 67% sequentially.

Management has guided to $1 billion in revenues for the current quarter, which is in line with Wall Street consensus.

Growth in Newer Business Lines

During a conference call with analysts, CEO Dave Girouard said that with respect to the auto business, “the dealership adoption right now is like nothing we’ve seen in the past, and the volume of loan requests and closed agreements from our dealer partners is on a steep climb. This is a recent phenomenon.”

Girouard said that the newer businesses in home and auto attracted almost 20% of new borrowers to the platform, including the small dollar loan product, which grew 40% sequentially, crossing more than $100 million in originations in the latest period. 

“Our growth last quarter was not a result of dramatic macro improvements or Fed rate decreases,” he said. “Our growth was primarily on the back of model improvements.”

Upstart’s models, he added, powered by AI, helped drive conversion rates from 19% in Q1 to 24% in Q2. The improvements were tied to Model 22, which the company launched in early May.

Funding Pipeline Outlook

“Our funding partnerships have been both durable and scalable, allowing us to grow rapidly while delivering the target returns our partners expect,” Girouard said. “With respect to banks and credit unions, we expect to reach a new all time high for monthly available funding in Q3, surpassing our prior peak from early 2022. The funding markets continue to improve as the year progresses, particularly since the Liberation Day fears in early April subsided.”

Added Girouard: “We’re building the ‘always on everything store’ for credit, aiming to persistently underwrite 100% of Americans.”

Upstart Co-founder and CTO Paul Gu said on the call that the model upgrades had translated into “numerous improvements and optimizations to how customers can pay, how much they pay, and when they pay. As a result, year-over-year population adjusted delinquency rates are down 20%, and raw delinquency rates are down 32%.”

CFO Sanjay Datta said in remarks on the call that “the broader macro has been idling in regards to its impact on credit trends, registering as neither a significant headwind nor tailwind over the past months.” Fee-based revenues were up 84%, he said, and was 15% better than guidance.

“Average loan size of approximately $7,570 was 15% lower than the prior quarter as model advancements drove higher approval rates in smaller loan amounts,” Datta said. Management also noted on the call that the shift to small dollar loan products also has moved to drive average loan sizes down.

Asked on the call about the competitive nature of the markets, Girouard said that the improved funding environment “does tend to bring more competitors into the space. So unsurprisingly, it’s a fairly competitive game these days … We’re very focused on having best offers both at super prime level and at our core business as well. We’re confident in our ability to grow our market share and keep our strength in those markets.”

As for the state of the consumer, Datta said: “We’ve been consistent in saying that the American consumer in aggregate is probably overspending relative to the income levels that we’re earning and that’s been true for a while now. If that balance improves, we would expect that credit trends would improve as well.”

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