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Chinese Robotics Firm Says Humanoids Could Follow Verbal Instructions For Most Tasks By 2027, Reaching a “ChatGPT Moment.”

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Humanoid robots could become capable of carrying out most general-purpose tasks from verbal instructions as early as next year, but putting machines to work reliably inside homes will take significantly longer, according to the co-founder and chief scientist of Chinese robotics company Spirit AI.

The prediction comes as China’s humanoid robotics industry shifts its focus from increasingly capable hardware to the software systems that give robots the ability to understand instructions, make decisions and execute sequences of physical actions.

Chinese humanoid robots have recently demonstrated advanced physical abilities, including sprinting, dancing, and performing backflips. The next challenge is turning those demonstrations into machines capable of performing economically useful work across a broad range of environments.

That field, commonly known as “embodied AI,” is emerging as one of the most closely watched areas of robotics development.

“The brain is indeed the weakest link in the complete robotics stack,” Gao Yang, Spirit AI’s co-founder and chief scientist, told Reuters at the company’s Beijing offices on Thursday.

For the robotics industry, the objective is to achieve what some executives describe as a “ChatGPT moment,” a software breakthrough that makes sophisticated robotic systems useful to a much broader market.

OpenAI’s launch of ChatGPT in 2022 demonstrated how quickly an advanced AI technology could move from research laboratories into mainstream consumer and commercial use. Robotics companies are now looking for an equivalent breakthrough that would allow robots to move beyond highly controlled demonstrations and individual industrial tasks.

Spirit AI expects that transition to begin with natural-language interaction.

“We anticipate reaching the GPT-3.0 milestone by mid-2027. You will be able to speak to a robot in natural language, and it will execute a series of reasonable physical actions to attempt the task,” Gao said.

The prediction does not mean robots will be capable of reliably performing every household activity by then. Gao expects industrial applications to develop first, followed by simpler commercial services, with domestic environments presenting the greatest challenge.

“The next one to two years mark the initial window for industrial applications. Two years from now, we’ll see robots deployed in commercial service settings doing simpler tasks. Entering homes is far harder than both,” said Gao, who is also an assistant professor of robotics at Tsinghua University.

The difference is largely about the complexity and unpredictability of physical environments. A factory production line can be structured around a relatively narrow set of tasks, while homes contain an almost unlimited range of objects, layouts and unexpected situations.

Spirit AI currently has tens of its Moz1 wheeled humanoid robots deployed on production lines at battery manufacturer CATL and retailer JD.com, which is also an investor. The 300-person startup has raised more than $670 million since its founding in 2024 and is currently valued at about 20 billion yuan, or $2.9 billion. Gao declined to comment on whether the company plans to pursue an initial public offering.

Building the Robotic “Brain”

Spirit AI is investing heavily in data collection to improve the software controlling its robots. The company employs about 1,000 contractors across China who use data-collection equipment in homes and factories to record how humans interact with physical environments.

At a training center in Spirit AI’s Beijing office, Reuters reported dozens of workers equipped with sensors repeatedly performing everyday actions, including opening refrigerators, unlocking safes, and cutting vegetables with knives. The objective is to provide AI systems with examples of how people manipulate objects and move through different environments, creating the training data needed to make robots more adaptable.

Spirit AI said its robots have achieved a 90% success rate on simple tasks in structured living-room environments. The company nevertheless faces substantial difficulties when robots encounter unfamiliar situations or require precise manipulation.

Tasks such as unscrewing a bottle cap can require fine motor control that remains difficult for current systems. Robots also struggle when confronted with objects or tasks that were not represented sufficiently in their training data.

Gao said Spirit AI relies heavily on real-world data rather than virtual simulations. Many robotics companies use simulated environments to generate training data at lower cost, but Spirit AI believes physical interaction provides information that simulations cannot always reproduce.

“Simulators handle rigid bodies well, but flexible objects like deformable electric cables remain a problem,” Gao said.

That creates a costly data problem for the industry. At some Chinese robot-training facilities, operators may have to repeat the same movement more than 50 times to produce one sufficiently precise “clean” example.

Spirit AI has taken a different approach by using what Gao calls “dirty data,” consisting of a wider variety of imperfect human movements. The company found that exposing its models to more diverse motions allowed them to improve more quickly, Gao said. The approach reflects a broader challenge in embodied AI: robots need to learn not only how an ideal movement looks, but how physical actions vary when performed by different people and under different circumstances.

From Factory Floors to Homes

Spirit AI’s development path highlights why the commercialization of humanoid robots may occur in stages. Factories offer controlled environments where robots can be assigned specific tasks and operate around predictable equipment. Commercial settings such as warehouses, retail locations, and service businesses introduce more variability but can still be designed around defined workflows.

Homes are considerably less predictable.

A domestic robot would need to understand natural-language instructions, identify unfamiliar objects, manipulate items with varying shapes and textures, navigate changing environments, and respond safely around people, children, and pets. That makes household deployment a substantially harder technical problem than demonstrating a robot performing a predetermined movement.

Safety will become another consideration as robots move beyond industrial environments.

The discussion comes as US AI companies face growing scrutiny over autonomous AI agents following incidents involving systems that operated outside intended boundaries. Gao said the immediate risk of a rogue AI controlling a physical robot is lower because current robotic software remains relatively immature.

But that risk could change as embodied AI becomes more capable and robots begin operating around people in commercial and residential environments.

Spirit AI has incorporated physical safeguards into its current systems.

“Our robots feature whole-body force control. If the robot encounters excessive interaction force with the environment, emergency braking triggers automatically as a baseline safety policy,” Gao said.

The approach provides a physical layer of protection even when the underlying AI makes an incorrect decision. Gao expects the need for more sophisticated AI safety research to grow as the underlying models become more autonomous.

“Once foundation models reach a mature, autonomous ‘GPT-4.0’ era, researching advanced AI safety and alignment will become much more actionable,” he said.

The trajectory has been touted as an indication that the next major competition in humanoid robotics may be determined less by whether machines can perform impressive physical stunts and more by whether their AI systems can reliably translate language into useful, safe, and adaptable physical work.

China’s robotics companies have made rapid progress on the hardware side. The more difficult test now is building the “brain” that can turn those machines into general-purpose workers. If Spirit AI’s timeline proves accurate, the first meaningful breakthrough could emerge in industrial settings within the next two years, while the much larger consumer opportunity inside homes may remain further away.

China Rejects EU Push to Cap Chinese Car Sales as Trade Tensions Escalate

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China has rejected a reported European Union proposal to voluntarily limit Chinese hybrid vehicle sales in the bloc, warning that any export restrictions would violate global trade rules and could prompt Beijing to take measures to protect Chinese automakers.

The Financial Times reported on Thursday that the European Union had asked China to voluntarily restrict hybrid vehicle sales to about 15% of the EU market as part of efforts to avoid a trade war.

Beijing did not confirm that the EU had formally made such a request. Instead, China’s Foreign Ministry and Commerce Ministry responded to the reports with warnings that any such arrangement would face strong opposition from Beijing.

“We hope the EU will honor its commitments to market openness and free trade, abide by WTO rules, and provide a fair, just and non-discriminatory business environment for enterprises from all countries,” Chinese Foreign Ministry spokesperson Guo Jiakun said on Friday.

The Commerce Ministry was more explicit in rejecting the reported approach.

“So-called voluntary export limits seriously violate WTO rules and run counter to the dynamics of market economy and the principles of fair competition. China firmly opposes this,” it said.

The ministry added that any agreement between China and the EU would have to comply with World Trade Organization rules and domestic laws on both sides while taking into account the interests of their respective automotive industries.

The wording leaves room for negotiations, but it also establishes a clear boundary for Beijing. China appears unwilling to accept a managed export arrangement that would effectively restrict the ability of its automakers to compete in the European market.

Europe Tries to Contain China’s Automotive Surge

The dispute comes as Chinese automakers expand rapidly across the European market. Companies such as BYD and other Chinese manufacturers have built their competitive position around lower-cost electric vehicles, increasing pressure on European automakers that have invested heavily in their own transition from internal combustion engines to electric vehicles.

The competitive threat has also evolved beyond battery-electric cars. Hybrid vehicles are becoming an increasingly important part of the debate because they allow Chinese manufacturers to compete in a wider portion of Europe’s automotive market while consumers continue to transition gradually toward fully electric vehicles.

That creates a difficult policy problem for Brussels.

Restricting Chinese imports can provide additional protection for European manufacturers, but tighter trade barriers can also raise vehicle prices, limit consumer choice, and invite retaliation against European companies operating in China.

A voluntary export restriction could theoretically offer Brussels an alternative to imposing additional tariffs. But Beijing’s response suggests that such a mechanism could be politically and legally difficult to negotiate.

China’s objection that export limits violate WTO principles is impactful because both sides have an interest in presenting their trade policies as consistent with international rules.

The dispute therefore goes beyond the number of Chinese cars entering Europe. It raises a broader question over how governments should respond when an industrial sector in one economy becomes significantly more competitive in another market.

Tariffs Are Not the Only Pressure Point

The EU has already taken trade measures against Chinese electric vehicles, meaning the latest dispute could represent an attempt to find a mechanism that limits competitive pressure without escalating tariffs further.

For Beijing, accepting an export ceiling could also create a precedent that other markets might seek to replicate. China has invested heavily in expanding its automotive manufacturing capacity, with companies competing aggressively on price, battery technology and increasingly sophisticated vehicle software. That production capacity needs access to overseas markets, particularly as competition intensifies within China itself.

An export restriction imposed through negotiation with the EU could therefore constrain one of the industry’s most important avenues for growth.

The calculation is equally complicated for European manufacturers. Protection from Chinese competition could provide additional time for companies to restructure their businesses and improve the economics of electric and hybrid vehicles. But prolonged protection could also reduce competitive pressure at a time when European automakers are trying to catch up with Chinese companies in areas such as battery technology, supply chains and software.

The risk for Brussels is that a trade response designed to protect Europe’s car industry could become another source of friction with one of its most important trading partners.

Beijing Leaves Door Open for Negotiation

China’s Commerce Ministry did not simply reject engagement with the EU. It said any solution must “ensure a balance of interests” and take into account the industries on both sides. That suggests Beijing is leaving room for discussions, but on terms that it considers mutually acceptable rather than through unilateral restrictions on Chinese exports.

The distinction could become important in negotiations.

An arrangement based on individual companies, investment commitments, production inside Europe, or other mechanisms could be easier for Beijing to accept than a fixed ceiling on Chinese vehicle sales. Such measures could also give European policymakers a way to support domestic production without formally imposing another trade barrier.

For now, however, neither side has confirmed that an agreement is close. The immediate issue is whether the reported 15% ceiling develops into a formal EU proposal and, if so, whether Beijing is willing to negotiate around it.

The stakes extend well beyond the European car market. China and the EU are already dealing with broader disagreements over industrial subsidies, market access, technology and trade. The automotive sector has become one of the clearest pressure points because it combines manufacturing jobs, industrial policy, consumer prices and China’s growing export competitiveness.

A compromise would allow both sides to avoid another escalation. Failure to reach one could push the dispute back toward tariffs and retaliation, making Chinese cars in Europe another front in the wider economic contest between China and the West.

Elon Musk Predicts AI Will Roughly Double U.S. GDP Growth Next Year

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Elon Musk offered a notably specific near-term economic forecast, stating that artificial intelligence is likely to roughly double U.S. GDP growth next year.

In a post on X, the Tesla and xAI CEO wrote, “My guess is that AI roughly doubles US GDP growth next year from 2% to 4%. Maybe even more.”

While speaking at the G20 summit, Musk estimated that Artificial Intelligence could expand the global economy by 20% to 30%, translating to roughly $20 trillion to $30 trillion in additional economic output annually.

He also predicted that AI could become capable of performing virtually any digital task by the end of next year, arguing that the technology would be able to handle anything that does not require the physical shaping of atoms by hand.

Musk’s projection stands out because it is more measured and nearer-term than some of his earlier statements, while still implying a meaningful acceleration relative to current conditions.

Recent U.S. economic data shows growth running near the lower end of the range Musk referenced. Real GDP expanded at an annualized rate of 1.5% in the second quarter of 2026 after 2.1% in the first quarter, according to Bureau of Economic Analysis figures.

Federal Reserve officials’ median projections in the September Summary of Economic Projections put 2026 growth at 2.3%, with private forecasters generally clustering around 2% or slightly higher for the year. Musk’s baseline of roughly 2% therefore aligns with the prevailing consensus before any major AI-driven productivity surge materializes.

The Tesla CEO has consistently argued that rapid advances in AI and robotics will produce outsized economic effects. In late 2025 he predicted double-digit U.S. GDP growth within 12 to 18 months and suggested that treating “applied intelligence” as a proxy for growth could eventually support triple-digit rates over a longer horizon.

More recently, at a G20 event, he estimated that AI alone could increase the size of the global economy by 20% to 30%, equivalent to $20–30 trillion annually.

Days later he raised the stakes further, posting that “AI + robots will more than double the global economy in less than 10 years.” His latest comment appears to scale those longer-term views down to a concrete, one-year U.S. growth-rate effect.

The mechanism Musk and other AI optimists emphasize is a sharp rise in productivity. Widespread deployment of advanced AI systems could automate or augment large portions of knowledge work, software development, design, and analysis, while humanoid robots begin addressing physical tasks.

Tesla’s Optimus program and broader investments in autonomous systems are frequently cited by Musk as examples of the hardware side of this transition. If those capabilities scale quickly, the argument goes, the economy could expand faster without a proportional increase in human labor hours.

Mainstream economists and institutions remain far more cautious. Most official and private forecasts continue to project trend growth near 2%, with AI expected to add only modest incremental percentage points over the next several years rather than an abrupt doubling of the growth rate.

Factors such as energy constraints for data centers, the pace of real-world adoption outside leading tech firms, regulatory hurdles, and potential labor-market disruptions are commonly cited as reasons for tempered expectations. Musk himself has acknowledged power-supply challenges, estimating significant shortfalls for AI computing as early as 2027.

Whether next year’s growth lands closer to 2% or approaches 4% will depend on how quickly AI tools move from impressive demonstrations into broad, measurable productivity gains across industries. Musk framed his view explicitly as a “guess,” leaving room for the usual uncertainties that accompany any economic forecast.

Outlook

The outlook for AI-driven economic growth will largely depend on whether productivity gains from the technology translate into measurable improvements across the broader U.S. economy.

If businesses accelerate AI adoption and the technology begins to automate a wider range of high-value tasks, productivity growth could strengthen and contribute to faster GDP expansion.

However, reaching Musk’s 4% growth projection would require a substantial acceleration from current forecasts. The impact of AI is also likely to vary across industries, depending on adoption costs, workforce adaptation, infrastructure availability, and the pace at which AI systems become reliable enough for widespread commercial use.

BOJ, Federal Reserve and ECB Navigate Inflation Risks From Higher Energy Prices

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Central bankers have spent the week confronting a familiar problem in an unfamiliar form: inflation is being pushed higher by an energy shock that monetary policy cannot directly produce or remove. The response has been increasingly similar.

The Federal Reserve raised its benchmark rate to 3.75%-4%, the European Central Bank has also tightened policy, and on Friday the Bank of Japan lifted its policy rate to 1.25%, its highest level since 1995.

Japan’s decision is particularly significant. For years, the Bank of Japan operated with exceptionally low interest rates as it attempted to escape deflation and generate a more durable inflation cycle.

The latest increase represents another step in monetary normalization, but it arrives as the Japanese economy faces an external inflation shock. Energy costs have become an increasingly important consideration as geopolitical conflict disrupts global oil markets.

The Strait of Hormuz sits at the centre of that concern. Japan is heavily dependent on imported energy, meaning disruptions to crude shipments can quickly raise costs for businesses and households. When oil becomes more expensive, the effects do not stop at the petrol station.

Transportation, manufacturing, electricity, food distribution and other supply chains can all face higher expenses. Central banks then confront the difficult possibility that an initially external price shock could eventually become embedded in broader inflation expectations.

That is why the policy decisions in Washington, Frankfurt and Tokyo matter beyond their individual economies. Higher interest rates are intended to restrain demand and prevent temporary price pressures from becoming persistent inflation.

Yet they also make borrowing more expensive, potentially slowing investment, housing activity and consumer spending. Policymakers therefore face a narrow path between controlling inflation and weakening economic growth. The United Kingdom is currently taking a different position.

The Bank of England held Bank Rate at 3.75% for a sixth consecutive meeting on September 17, although three policymakers voted for an increase to 4%. The central bank acknowledged that Middle East tensions have pushed energy prices higher and warned that UK inflation could rise further.

Governor Andrew Bailey has emphasized an important distinction. Higher energy prices have already affected the near-term inflation outlook, but there has so far been limited evidence that those costs are generating significant second-round effects through wages and broader price-setting.

Bailey said the transmission into general inflation remains subdued, although the longer energy prices remain elevated, the greater the risk becomes.

This distinction could determine the next phase of monetary policy. If businesses absorb higher energy costs through narrower margins and households reduce consumption, inflation may eventually moderate without aggressive additional tightening.

If companies pass costs to consumers and workers demand compensation through higher wages, central banks may face a more persistent inflation cycle. The global economy is therefore entering a complicated monetary-policy environment.

Central banks are responding to similar energy pressures, but their economies differ in exposure, domestic demand, labor-market conditions and inflation dynamics. The result is unlikely to be a perfectly synchronized tightening cycle.

For investors, the central question is no longer simply where interest rates are headed. It is how long the energy shock lasts and how deeply it travels through the global economy. If elevated oil prices remain temporary, policymakers may eventually regain room to pause.

If the shock becomes entrenched, the world could face the more difficult combination of slower growth, tighter financial conditions and persistent inflation. This week’s decisions demonstrate that energy has once again become a monetary-policy variable.

Central bankers may control interest rates, but they cannot control the flow of crude through a geopolitical chokepoint. Their challenge is managing what happens after that energy shock reaches consumers, businesses, wages and expectations.

Temu Affiliate Program FAQ: Sign Up, Login, Sharing, and First Steps

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If you’re looking for a practical way to monetize your online presence, the Temu affiliate program offers a streamlined path to earning commissions by sharing trending products and deals. Whether you’re a beginner or a seasoned marketer exploring new Temu affiliate opportunities, understanding the platform’s mechanics is fundamental to your success.

To help you hit the ground running without the guesswork, we’ve compiled this essential Temu Affiliate Program FAQ. We’ll walk you through almost everything from your initial sign up and login to the strategic sharing techniques that turn simple clicks into consistent conversions.

What Is the Temu Affiliate Program?

The Temu Affiliate Program helps eligible partners earn by sharing Temu products, offers, and referral opportunities through groups, communities, deal channels, and other relevant traffic sources. It is especially suitable for group-based promoters, bloggers, coupon sharers, forum posters, and other publishers who can bring targeted traffic.

Unlike complicated partner models, the Temu Affiliate Program focuses on clear actions and practical sharing tools. Once registered and verified, you can promote offers that fit your audience and track results inside your account.

Who Is the Temu Affiliate Program For?

The Temu Affiliate Program can appeal to different types of promoters, including:

  • deal and coupon sharers
  • group and community promoters
  • forum posters
  • beginners exploring affiliate marketing
  • bloggers and niche site owners
  • people who already recommend products casually online

This matters because many users think affiliate programs are only for large creators. In reality, a strong fit often comes from relevance, not just audience size.

Temu Affiliate Program FAQ

1. How do I complete the Temu Affiliate Program sign up?

Temu Affiliate Program sign up usually starts at the official recruitment page. From there, users can begin the onboarding process, enter basic information, and move into the setup flow for the program. You can also simply search “affiliate” directly in the Temu app to find the recruitment page.

For most people, the key point is not just signing up, but understanding what comes next. Joining is only the first step. A better question is: once you finish the Temu affiliate program sign up, what should you do to start sharing effectively?

That is where your traffic source, audience type, and posting style begin to matter.

2. How does the Temu affiliate login work?

Temu affiliate login is the account access step that allows users to enter the affiliate flow, manage their setup, and continue using the program after registration.

People searching for Temu affiliate login are often looking for more than just a sign-in page. They usually want answers to questions such as:

  • where to access the account 
  • what happens after sign-in 
  • how to find links or offers 
  • what the next action should be 

That is why a useful FAQ should not stop at login instructions. It should also explain what a new affiliate should do after getting inside the program.

3. What should I do right after joining?

After joining the Temu affiliate program, the most important first step is choosing a simple and realistic sharing path.

New users often try to do too much at once. A better approach is to start with one clear traffic source and one simple sharing format. For example, you can begin by:

  • sharing useful offers in a deal-focused community 
  • posting relevant recommendations in a group 
  • answering product-related questions in a forum 
  • sharing shopping-related content through an existing audience channel 

The goal is to create a low-friction first action. In the early stage of the Temu affiliate program, simplicity usually performs better than complexity.

4. What can I share in the Temu Affiliate Program?

Within the Temu Affiliate Program, users generally focus on shareable content that feels useful and clear to the audience. This may include:

  • referral offers 
  • discount-led promotions 
  • shopping recommendations 
  • trending products 
  • product roundups 
  • practical recommendations tied to a community topic 

The strongest content usually does not feel like a hard sell. It feels like a useful tip, a timely recommendation, or a relevant shopping find.

That is especially true for beginners. A post that is easy to understand often performs better than one that tries too hard to sound promotional.

5. Where can I share offers and links?

The best answer depends on where your audience already pays attention.

Many users in the Temu affiliate program begin with channels such as:

  • online communities 
  • deal-sharing spaces and forums
  • shopping groups 
  • niche blogs 
  • messaging groups 
  • content platforms

The important part is not trying every possible platform. It is choosing the platform where your recommendations feel most natural.

For example, if you already participate in a deal group, you may have a stronger starting point than someone trying to build a new audience from zero.

6. Do I need experience to start?

Not necessarily.

One reason many people explore the Temu affiliate program is that it can feel more approachable than traditional affiliate setups. Instead of requiring advanced technical skills, it often rewards people who understand audience intent, relevance, and useful sharing.

That means someone who already knows how to share a good deal in the right place may have a stronger starting point than someone with a bigger but less engaged audience.

7. What is the best first sharing strategy?

For most new users, the best first strategy is to keep things simple and focused.

A practical early-stage approach to the Temu affiliate program usually looks like this:

  • Choose one traffic source – Start with the place where you already have the most natural connection to users.
  • Share one clear type of content – This might be a deal, a useful recommendation, or a simple new-user-friendly offer.
  • Write with context – Do not just post a link. Explain why the post matters.
  • Make the next step easy – If users need to click, sign up, or use a code, keep the explanation short and clear.

A first win often comes from reducing friction, not from posting more.

8. What mistakes should new affiliates avoid?

A lot of early problems in the Temu affiliate program come from avoidable mistakes.

The most common ones include:

  • Trying too many channels at once – New users often spread themselves too thin instead of focusing on one path.
  • Posting links without context – A link with no explanation gives people little reason to care.
  • Sounding too promotional – Useful language usually performs better.
  • Ignoring audience fit- Not every offer works for every group or platform.

Expecting instant scale -Affiliate growth usually comes from repeatable, relevant sharing rather than one quick push.

9. How can I make my sharing more effective?

If you want better results in the Temu affiliate program, focus on clarity, relevance, and trust.

A stronger post usually does three things well:

  • it shows the value quickly 
  • it fits the audience 
  • it feels natural within the platform 

This is true whether you are sharing in a coupon channel, a forum, a Facebook group, or another kind of community. The better the fit between the offer and the audience, the better your chances of getting useful engagement.

10. Is the Temu Affiliate Program good for beginners?

For many users, yes.

The Temu Affiliate Program is often appealing to beginners because it can be approached in a practical way. You do not need to start with a massive content operation. You can begin with one audience, one sharing angle, and one repeatable format.

That is often the best way to learn what works.

Quick Start Checklist for New Users

If you want a simple way to begin, use this checklist:

  • Sign up for the Temu Affiliate Program
  • Log in to your Temu affiliate account — search for “affiliate” in the Temu app
  • choose one main traffic source 
  • identify one offer or content angle to start with 
  • write one clear post with context 
  • track what type of sharing gets the best response 
  • repeat what works and simplify what does not

This checklist keeps the first stage of the Temu Affiliate Program manageable and action-oriented.

Unlock New Income Streams

From initial new-user offers and marketing asset libraries to subsequent commission and performance tracking, the Temu Affiliate Program empowers partners to scale their earnings. Get started with Temu affiliate and unlock high-converting offers instantly.

? Start Earning With Temu