
Adopt or die? How Southeast Asian small businesses are using AI to stay competitive
The U.S. and China are usually top of mind when it comes to artificial intelligence and generative AI. But Southeast Asia's small businesses have huge potential that shouldn't be ignored, experts say.
In fact, it's a matter of survival, according to Jochen Wirtz, a professor of marketing at the National University of Singapore Business School, who said those that fall behind will be "moved into a franchise business or will be pushed out of the market by bigger players who do it."
"Either you grow and adopt, or you die," he added.
AI and genAI will contribute about $120 billion to the region's gross domestic product by 2027, Boston Consulting Group projected in an April report titled "Unlocking Southeast Asia's AI Potential," which cited the technology's potential to "redefine business processes and unlock new revenue streams." And Google's e-Conomy SEA 2024 report found that Singapore, the Philippines and Malaysia are ranked among the top 10 globally for AI-related searches and demand, indicating "curiosity" and an "active interest" within the region.
Youth is an advantage. Among surveyed countries in the Asia-Pacific, Vietnam, Malaysia and the Philippines have the highest percentage of business owners or leaders under 40 years of age, according to CPA Australia's Small Business Survey 2024-25.
For countries such as Vietnam, "the future is bright because ... it's a very young population, is a very internet-savvy population," said Soumik Parida, associate program manager of the professional communication program at RMIT University Vietnam's School of Communication and Design. "They are starting to have a global voice and they're very easy to adapt any new technology," he added.
Here's how some of the region's businesses are using it to stay on top of the competition — as well as the opportunities and roadblocks they face.
Customer service is the leading use case in Southeast Asian e-commerce, followed by marketing and advertising, according to a joint report by Lazada and Kantar about AI adoption trends in the six largest economies in Southeast Asia. Also known as the ASEAN-6, they comprise Singapore, Malaysia, Vietnam, Indonesia, the Philippines and Thailand.
A McKinsey survey released in March revealed a similar trend: Companies have adopted genAI for marketing and sales, with tech companies leading the charge. It also showed that most adopters are using the technology to generate text, with 63% of surveyed companies reporting that they do so.
GenAI presents a unique boon for a region as linguistically diverse as Southeast Asia: Aside from writing personalized marketing messages, it can also translate promotional texts into different languages.
For example, Lita Global, an Indonesia-based social media platform for gamers, is benefiting a lot from that. Since integrating OpenAI's models in the second half of last year, it said, it has been able to host almost twice as many online gaming events monthly, thanks to greater efficiency.
That's a big boost for its business, since every event can raise weekly revenues by an average of 20%, the company said.
With genAI, employees can quickly translate announcements about events from English to Southeast Asian languages, such as Vietnamese and Thai, to reach more users in the region. And that frees them up — time originally used for writing, translating and formatting promotional text can now be used for organizing more revenue-generating events, according to Lita Global.
The company also uses genAI in its chat function to recommend responses to users. Lita Global is a social platform where users can hire other gamers to play with them online.
Gamers for hire typically chat with users before an order is placed for a gaming session. But that can be difficult when demand for gamers is high and gamers for hire are busy with other matches. Gamers for hire who use the AI-recommended responses have seen a 10% to 20% uptick in orders, said Lita Global's CEO Yihao Zhang.
"So we're using AI to really help them to improve their efficiency, to help them to be more available to the users," Zhang said.
Another way Southeast Asian MSMEs (micro, small and medium enterprises) can use genAI in marketing is through AI livestreaming. Google's SEA e-Conomy report noted that live shopping has become more popular in the region. Live shopping, or livestreaming, usually involves a host showcasing the products for sale. Not only does this include clothing try-ons, but shoppers can also ask questions in the comments section, which are answered in real time.
While livestreams are traditionally hosted by humans in studios, MSMEs may lack the funds or technical know-how to execute regular livestreams to boost sales. AI livestreaming can open doors to new opportunities for sellers, said Jensen Wu, CEO of TopviewAI.
TopviewAI says on its website that its AI livestreaming services can cost around $1 per minute. Instead of spending on studio rental, samples of the merchandise and labor of human hosts, companies can have one person monitor the livestream, Wu said. That helps lower costs while boosting sales, making for a "pretty good" return on investment, he added.
The efficiency boost doesn't come cheap, however.
That's why small businesses are limited to adopting AI on a small scale for now. Using AI chatbots for relatively simple tasks, for example, can reduce labor costs as subscriptions for such services tend to be inexpensive. On top of that, with a variety of third-party tools available on the market, business owners can also have their pick, according to RMIT Vietnam's Parida.
Small businesses in the fashion, and food and beverage industries in Vietnam, for example, have begun using chatbots to manage inquiries and orders, Parida said.
"Anything beyond that requires a lot of expense" he said.
While larger companies can hire software companies to develop sophisticated systems customized to a business' needs, it's a luxury not many can afford.
Even companies that have the expertise to integrate AI themselves pay a premium to do so.
Lita Global, for example, spends about $2,000 on AI every month, part of which goes to purchasing tokens for OpenAI's application programming interface (API). APIs allow companies to build upon OpenAI's models, instead of requiring companies to build the AI model from scratch.
However, as AI improves, the cost to use it is expected to drop. Research and advisory firm Gartner predicted in February that by 2027, the average prices of application programming interfaces for genAI will fall to less than 1% of the current average price for the same technology.
That could mean even greater affordability for smaller businesses adopting AI for their businesses.
In emerging markets such as those in Southeast Asia where labor costs are low, companies may feel less motivated to boost efficiency through adoption of technology. But technology can provide "much better [outcomes]" for existing business practices, said NUS Business School's Wirtz. AI is just another way to adopt technology.
He compared it to the popularization of e-hailing services, which reduced the risk of tourists getting scammed by taxi drivers in foreign countries, as e-hailing apps could estimate the price of a journey.
And with a tech-savvy population of entrepreneurs in economies such as Vietnam, where labor costs are low, the excitement to adopt AI remains high, according to Parida.
"It's a very hungry young people," he said.
Hashtags

Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles


Time Magazine
an hour ago
- Time Magazine
Waymo's Self-Driving Future Is Here
Buy a copy of the TIME100 Companies issue here Mawakana believes that Waymo is threading the needle on all fronts, and that the company's gradual, safety-first, city-by-city approach (Phoenix in 2020, San Francisco and Los Angeles in 2024, Austin and Atlanta this year, and Washington D.C. in 2026) is exactly why it will emerge victorious in the automated rideshare race. Cruise shut down in 2024 after its headline-making accident; Tesla faces multiple lawsuits related to its autopilot technology. 'Trust is hard to build and easy to lose,' Mawakana says. 'Not just Tesla, but there have been other companies that have come and gone that have had very, very audacious claims. We've learned the amount of humility needed: Ultimately, it's the riders who are going to decide.' __________________________________________ While Waymo is the first company to deploy a self-driving fleet, they're far from the only company to try. In the early 2010s, Uber spent hundreds of millions of dollars on autonomous vehicles, which executives believed were essential to profitability. Raffi Krikorian, former director of Uber's Advanced Technologies Center, who led those efforts from 2015 to 2017, said that the mechanical aspect of teaching cars to drive was one challenge, but unspoken social norms were another entirely. 'When you follow all the rules of the road to the letter, you're actually a dangerous driver,' Krikorian says. 'You actually need to know when to speed, when to roll through a yellow. When we first deployed, we would slam on the brakes at red lights.' Around the same time, Google was ramping up its own self-driving project, operating buggy-like Firefly prototypes with plastic windshields around the company's Bay Area-campuses. Being within Google's massive corporate umbrella gave engineers the time and resources to experiment without rushing to market. In 2016, Google spun this project, called Waymo, into its own company within Alphabet. Dmitri Dolgov, an engineer who worked on the Firefly and is now Waymo's co-CEO, says those days were characterized both by technological breakthroughs and painstaking cautiousness. 'We would build something with goals for what the Waymo driver would be capable of, and then run it through our rigorous safety framework—and see that it fell short of where we set the bar,' he says. 'And we would not deploy.' Mawakana joined the company in 2017, initially as vice president of public policy and government affairs, ultimately moving into running business operations. Waymo's road safety mission was personal to her: Her uncle, a longhaul trucker, had died in his vehicle from a heart attack. She relates to customers' stories of family members killed by drunk driving or other accidents. 'People don't think they need a safer alternative. But the status quo is not acceptable,' Mawakana says. After several years of testing and iterating, Waymo first began offering fully autonomous rides to the public in October 2020 in Phoenix, Arizona. (The city has attracted several driverless companies due to its wide lanes, separated pedestrian walkways, and mostly snow-less weather.) At first, many community members reacted with skepticism or outright anger. Reports of strange but harmless incidents piled up, including Waymos stopping unexpectedly in the middle of the road. But gradually, Waymo's technology improved, and the community grew accustomed to their presence on the streets. Converts included Mayor Kate Gallego, who tells TIME that the city has seen lower tailpipe emissions and more drivers following the speed limits since Waymo arrived. Wamyo's staff has now grown to 2,500 employees, and its fleet to over 1,500 cars. In San Francisco, Waymo cars have become tourist attractions, with visitors taking the cars up the iconic winding Lombard Street. The prices of individual rides are variable, but often competitive with that of Uber or Lyft. While social media users have laughed at cringeworthy moments—like a flock honking at each other in a parking lot—those incidents were ultimately just that: laughable, but not dangerous. __________________________________________ Driverless cars sound terrifying at first blush. But there are several reasons why they make theoretically safer drivers than humans. While humans have blind spots and fallible attention, Waymos ingest visual and spatial information through a slew of cameras and sensors. Radar allows the vehicle to see clearly through fog or snow. LIDAR, 360-degree laser-based spatial sensors, detect other cars in the dead of night and outside of the reach of a car's headlights. Whenever Waymo enters a city, it begins a detailed custom mapping process, ingesting data like lane markers and curb heights. Each car on the road then provides real-time updates about new construction zones or road closures. All of this information is held on a powerful computer in the car's trunk—the contents of which are uploaded and used to improve the Waymo driver. In January, I took Waymos around Austin, closely watching a screen on each console that showed real-time digital representations of buildings, trees, pedestrians and even dogs passing by. One afternoon, I tested a car's reflexes jumping out in front of it on an empty street (do not try this at home, kids); It immediately ground to a halt. While in the car, I tested the 'assistance' button, which refers passengers to a support team—and someone picked up immediately. Once the novelty wore off, riding around in Waymos felt shockingly uninteresting. The cars drove cautiously but competently; though their tendency to drive just above the speed limit sometimes created long lines behind them. Still, the cars occasionally showed welcome spurts of defensive driving. One Waymo, while navigating a one-lane cramped downtown street, sped up in order to seize a gap in parked cars before an oncoming car could beat it to the spot. Another, when needing to take a left-hand turn, cranked the wheel hard and flew through the intersection before a rush of cars arrived; I would have waited for the next light. Even some professional drivers grudgingly admit that Waymo cars drive pretty well. 'I love the way they drive: I think they drive better than me,' says Sergio Avedian, a Los Angeles-based Uber driver and a senior contributor for the blog The Rideshare Guy. 'People have seen it evolve and now overwhelmingly love it,' says Ryan Johnson, a Tempe-based real estate developer. 'Other drivers even think that Waymo makes other drivers drive safer.' While Waymo earns money every ride, perhaps even more valuable is the data it ingests—about handling merging, entering crowded parking lots, or avoiding road closures—all of which train the system to make it more robust. (A spokesperson said that the data is not shared with Google Maps.) 'We're driving two million miles a week, which is more than most humans will drive in their lifetime,' says Matthew Schwall, Waymo's director of safety and incident management. Whenever unusual or dangerous situations occur, his team studies them closely, running simulations and tweaking variables so all Waymo cars can better navigate future crises. Waymos also avoid many of humanity's worst traits when it comes to driving. We tire; we check our phones; we fly into road rage; we drive drunk. These flaws contribute to 40,000 U.S. roadway deaths every year—a number that most of society has come to ignore or sweep aside. 'There have been many situations where I have been intentionally harassed or carelessly mistreated by human drivers with emotions and entitlements,' says Andre Rouhani, a PhD student in Tempe, who often rides to class on his bicycle. He says he feels much safer with more Waymos on the road.


Fast Company
an hour ago
- Fast Company
2025's college graduates are facing one of the toughest job markets in over a decade. Here's why
While completing a master's degree in data analysis, Palwasha Zahid moved from Dallas to a town near Silicon Valley. The location made it easy to visit the campuses of tech stalwarts such as Google, Apple, and Nvidia. Zahid, 25, completed her studies in December, but so far she hasn't found a job in the industry that surrounds her. 'It stings a little bit,' she said. 'I never imagined it would be this difficult just to get a foot in the door.' Young people graduating from college this spring and summer are facing one of the toughest job markets in more than a decade. The unemployment rate for degree holders ages 22 to 27 has reached its highest level in a dozen years, excluding the coronavirus pandemic. Joblessness among that group is now higher than the overall unemployment rate, and the gap is larger than it has been in more than three decades. The rise in unemployment has worried many economists as well as officials at the Federal Reserve because it could be an early sign of trouble for the economy. It suggests businesses are holding off on hiring new workers because of rampant uncertainty stemming from the Trump administration's tariff increases, which could slow growth. 'Young people are bearing the brunt of a lot of economic uncertainty,' Brad Hersbein, senior economist at the Upjohn Institute, a labor-focused think tank, said. 'The people that you often are most hesitant in hiring when economic conditions are uncertain are entry-level positions.' The growth of artifical intelligence may be playing an additional role by eating away at positions for beginners in white-collar professions such as information technology, finance, and law. Higher unemployment for younger graduates has also renewed concerns about the value of a college degree. More workers than ever have a four-year degree, which makes it less of a distinguishing factor in job applications. Murat Tasci, an economist at JPMorgan, calculates that 45% of workers have a four-year degree, up from 26% in 1992. While the difficulty of finding work has demoralized young people like Zahid, most economists argue that holding a college degree still offers clear lifetime benefits. Graduates earn higher pay and experience much less unemployment over their lifetimes. The overall U.S. unemployment rate is a still-low 4.2%, and the government's monthly jobs reports show the economy is generating modest job gains. But the additional jobs are concentrated in health care, government, and restaurants and hotels. Job gains in professions with more college grads, such as information technology, legal services, and accounting have languished in the past 12 months. The unemployment rate has stayed low mostly because layoffs are still relatively rare. The actual hiring rate—new hires as a percentage of all jobs—has fallen to 2014 levels, when the unemployment rate was much higher, at 6.2%. Economists call it a no-hire, no-fire economy. For college graduates 22 to 27 years old, the unemployment rate was 5.8% in March—the highest, excluding the pandemic, since 2012, and far above the nationwide rate. Lexie Lindo, 23, saw how reluctant companies were to hire while applying for more than 100 jobs last summer and fall after graduating from Clark Atlanta University with a business degree and 3.8 GPA. She had several summer internships in fields such as logistics and real estate while getting her degree, but no offer came. 'Nobody was taking interviews or responding back to any applications that I filled out,' Lindo, who is from Auburn, Georgia, said. 'My résumé is full, there's no gaps or anything. Every summer I'm doing something. It's just, 'OK, so what else are you looking for?'' She has returned to Clark for a master's program in supply chain studies and has an internship this summer at a Fortune 500 company in Austin, Texas. She's hopeful it will lead to a job next year. Artificial intelligence could be a culprit, particularly in IT. Matthew Martin, senior U.S. economist at Oxford Economics, has calculated that employment for college graduates 28 and above in computer science and mathematical occupations has increased a slight 0.8% since 2022. For those ages 22 to 27, it has fallen 8%, according to Martin. Company announcements have further fueled concerns. Tobi Lutke, CEO of online commerce software company Shopify, said in an April memo that before requesting new hires, 'teams must demonstrate why they cannot get what they want done using AI.' Last week, Amazon CEO Andy Jassy said AI would likely reduce the company's corporate work force over the next few years. 'We will need fewer people doing some of the jobs that are being done today, and more people doing other types of jobs,' Jassy said in a message to employees. 'We expect that this will reduce our total corporate workforce as we get efficiency gains from using AI extensively across the company.' Zahid worries that AI is hurting her chances. She remembers seeing big billboard ads for AI at the San Francisco airport that asked, 'Why hire a human when you could use AI?' Still, many economists argue that blaming AI is premature. Most companies are in the early stages of adopting the technology. Professional networking platform LinkedIn categorized occupations based on their exposure to AI and did not see big hiring differences between professions where AI was more prevalent and where it wasn't, said Kory Kantenga, the firm's head of economics for the Americas. 'We don't see any broad-based evidence that AI is having a disproportionate impact in the labor market or even a disproportionate impact on younger workers versus older workers,' Kantenga said. He added that the Federal Reserve's interest rate hikes have also slowed hiring in tech. Many IT firms expanded when the Fed pinned its short-term rate at nearly zero after the pandemic. In 2022, the Fed began cranking up rates to combat inflation, which made it harder to borrow and grow. In fact, IT's hiring spree when rates were low—fueled by millions of Americans ramping up their online shopping and video conferencing—left many firms with too many workers, economists say. Cory Stahle, an economist at the job-listings website Indeed, says postings for software development jobs, for example, have fallen 40% compared with four years ago. It's a sharp shift for students who began studying computer science when hiring was near its peak. Zahid, who lives in Dublin, California, has experienced this whiplash firsthand. When she entered college in 2019, her father, who is a network engineer, encouraged her to study IT and said it would be easy for her to get a job in the field. She initially studied psychology but decided she wanted something more hands-on and gravitated to data analysis. Her husband, 33, has a software development job, and friends of hers in IT received immediate job offers upon graduation a few years ago. Such rapid hiring seems to have disappeared now, she said. She has her college diploma, but hasn't hung it up yet.
Yahoo
an hour ago
- Yahoo
Apple Inc. (AAPL): I'm Going To Keep Defending It, Says Jim Cramer
Apple Inc. (NASDAQ:AAPL) is one of the . Apple Inc. (NASDAQ:AAPL) has been one of Cramer's top stocks this year. Despite the fact that the firm's shares have struggled in the first half of 2025 due to slow momentum on AI and US trade tensions with China, Cramer has maintained that Apple Inc. (NASDAQ:AAPL) is one of the greatest companies in the world. In his latest comments, the CNBC host remarked on acquisitions, the firm's deal with Google, and its trade war woes: 'Look, their policy, and I remember when suggested Tim Cook to buy Netflix, um, I've suggested to buy a lot of things. . .I thought that Apple had a lot of good things [at WWDC] I don't think that people realize that Apple has such an aversion to buying companies, and a great proclivity to say, look, you want our billion, 1.3 billion? We'll take you as our sole-source. Now the problem is that Google one of the things that Google's going to be in trouble for . . . .Google wrote a check, for 20 billion to Apple in 2022. And this is what the government hates that they did that. So I would pivot if I were Apple instead of saying to Perplexity, you know what, I think you should pay us, I think they should say, we pay you. Now that's not what you ever want to hear, right. In his previous comments, Cramer discusses Apple Inc. (NASDAQ:AAPL)'s trade war woes in detail: 'Finally, let's understand something. Apple is not a company that stands still… Can we stipulate that in the last year, it's reasonable to believe that Tim Cook, the CEO, might have been a little distracted? Here's a man… who's been trying to do everything he's supposed to do in order to meet the demands of the president of the United States. The president wanted investment in the U.S. What does he do? He announces that Apple's going to spend $500 billion in the US over four years… A wide view of an Apple store, showing the range of products the company offers. While we acknowledge the potential of AAPL as an investment, our conviction lies in the belief that some AI stocks hold greater promise for delivering higher returns and have limited downside risk. If you are looking for an extremely cheap AI stock that is also a major beneficiary of Trump tariffs and onshoring, see our free report on the best short-term AI stock. READ NEXT: 20 Best AI Stocks To Buy Now and 30 Best Stocks to Buy Now According to Billionaires. Disclosure: None. This article is originally published at Insider Monkey. Sign in to access your portfolio