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I recently had a conversation that really changed the way I think about AI, its power, and how it might be used in our day-to-day interactions. It started with a phone call to a company called Sanis. Hello, thank you for calling Sanis Airline. My name is Nizhyeon. How can I assist you today? Hi, I'm Rebecca. I'm trying to cancel my flights to Singapore, but I'm having problems. Okay, I'm sorry to hear that, Rebecca. And for us to proceed, can I have your ticket number, please?
It sounds like a typical conversation you might have with a customer rep. But here's the thing. The sound of Lusil, the person I'm speaking with, is actually being modified quite dramatically with AI. Without the AI, here's what our conversation would actually sound like. Hi, Rebecca. This is Lusil, and I'm from the Philippines, and this is my normal voice and accent. Wow, Lusil, that is a wild transformation, both in accent and in that clarity of that noise. Yeah, right. Wait, can you turn on the app again? Okay, not a problem. So there you go. The Sanis app is stored on now. So hi, Rebecca. Nice meeting you. Wow, that's just wild. The AI company Lusil works for Sanas causes technology accent translation. It says it eliminates background noise and enhances the clarity of voice and speech, while making sure it still sounds natural. And Lusil, who runs demos for Sanas, says the technology helps call reps. When they use it, fewer customers are asked to be transferred to a different agent. That used to happen all the time during the 12 years she worked as a customer service rep. For example, if we answer the call, they actually look for a US representative right away instead of trying to talk to us. There's already a doubt that if we are equipped or capable of answering their questions or resolving their concern and queries.
Sanas says its AI tools quote, eliminate communication barriers and allow agents to resolve issues faster, which means shorter wait times for customers. And Sanas is just one of the many AI companies that are blurring the line between where the tech starts and the human ends. And while these tools might make things easier on customer reps, they are a potential danger to the jobs of those working in the customer service industry or what's known as the BPO sector, business process outsourcing. We will see shrinking in the core of BPO world as new AI tools get launched every month. They're bringing in a lot more efficiency. Bloomberg's Saretha Rai covers AI in Asia from India. And she says if you want to see this threat up close, the Philippines where Luzil is is a good place to look. That's because it's considered the world's capital for BPOs, particularly voice BPOs. The industry employs about 1.7 million people and accounts for about 8% of Philippines GDP. And Saretha says what's happening with the industry over in the Philippines is being closely watched by the rest of the world. Entire countries, economists, experts are watching Philippines to see how it will play out in this country of about 100 million people. And that could well show a signal as to how these technologies will move to other countries and other industries and disrupt or enhance workers' lives.
Welcome to the Big Take Asia from Bloomberg News. I'm Rebecca Chung-Welkins. Every week we take you inside some of the world's biggest and most powerful economies and the market's tycoons and businesses that drive this ever shifting region. Today on the show, the Philippines is at the forefront of AI's job displacement. And what happens there will say a lot about what's ahead for white-collar workers around the world. A few decades ago, major global corporations began outsourcing a lot of their back-end work, think HR, accounting, auditing and customer service, to countries with lower labor costs.
欢迎来到彭博新闻的“Big Take Asia”节目。我是Rebecca Chung-Welkins。每周,我们都会带您深入了解全球一些最大、最强的经济体,以及推动这个不断变化地区的市场大亨和企业。今天的节目主题是,菲律宾正处于人工智能造成工作岗位流失的最前沿,而那里的情况将对全球白领未来的发展产生重要影响。几十年前,大型跨国公司开始将大量后端工作,例如人力资源、会计、审计和客户服务,外包到劳动力成本较低的国家。
And Bloomberg's Saretha Rice says one of the top places these tasks were outsourced to was the Philippines. And part of the reason for that, she says, is because of the way people there speak. So the Philippines is really one of those countries which is culturally very aligned with the United States. And people speak in an accent that is much closer to the American accent, much more than pretty much the most of Asia. So that is the reason why a lot the BPO work has increasingly moved towards Philippines and made it really the call center capsule of the world. Saretha tells me the Philippines started growing its back office industry in the 2000s.
And today, call centers are the country's biggest source of private sector jobs. The industry is forecast to hit $38 billion in revenue this year. And this industry boom has created the kind of jobs that have helped transform people's lives. These are well-being jobs. These are jobs where you can actually be socially, upwardly mobile. You can actually get paid decently and make a change in your lifestyle by your home, by a car, set up a small business on the side, set up your family.
But Saretha says in the last eight months also, there have been big changes in these jobs that are raising questions about whether or not they will continue to be a stable source of income and employment for millions of Filipinos. The largest BPOs in the Philippines have rolled out a variety of AI tools pretty extensively. These AI tools do all kinds of things such as assisting agents while they're on life calls, training the agents, sometimes even making outbound calls to sell something. One of the call centers in the middle of adapting to this AI transition is 24-7 AI.
Saretha was given rare access to their call center in Manila, where they were using a chat GPT-like tool to train customer service agents. In the test run that Saretha saw, the AI tool generated different scenarios and took on a range of personas to help the human agent role play with different types of callers they might get. For example, pleasant, irate, tough, hard bargain or treat the sentiment can be tensed, distressed, irritated or calm. So for example, somebody can choose a scenario which is a Gen Z male irate, churned customer or a female millennial who is calm but has a real problem. What does an irate Gen Z AI customer sound like? Very difficult for an agent to deal with.
Saretha 获得了一个难得的机会,可以参观他们位于马尼拉的呼叫中心。在那里,他们使用一个类似于 Chat GPT 的工具来培训客服人员。在 Saretha 看到的测试中,这个 AI 工具生成了不同的场景,并扮演各种角色,帮助人类客服人员演练应对不同类型的来电者。例如,来电者可能表现得友好、不满、强硬、咄咄逼人,或者语气紧张、沮丧、恼怒或平静。比如,可以选择一个场景:愤怒的 Z 世代男性客户或冷静但有实际问题的千禧一代女性客户。那么,愤怒的 Z 世代 AI 客户听起来是什么样的呢?对客服人员来说,这是个很难处理的情况。
I can assure you, I overheard some of those calls and it was not easy but it was tremendous. How calmly these agents were dealing with really annoyed and tough customers at the other end. The idea, Saretha says, is to prepare the agents to deal with as many different scenarios and customer personalities as possible. It's also to help train them to give the most appropriate response. And Saretha says, the company told her that the kind of work the AI is doing to train human agents would take much longer if it were being done by an actual human trainer.
You cannot have the trainers go from pleasant to irate to a tough bargain or to a distressed customer all within seconds. Whereas the AI can easily do that, which is why what used to take three times the number of days to train an agent has now come down to about a month. But with productivity gains and workflow improvements come trade offs. Saretha spoke to a few people whose jobs came under threat from the AI revolution in the BPO industry. One of them is 47 year old Christopher Batista. He's worked in the BPO industry for nearly two decades.
Christopher told Saretha that for months he'd watched as AI took on more responsibility where he worked. The AI took care of customers questions such as general inquiries about products, what the problem was and more before routing calls to human agents. And then last November he and others at the BPO company serving a multinational tech giant were put on floating status. Floating status means no work, no pay, but still on the roads. So you are not jobless, but you are not getting paid.
So that went on for about four or five months before Christopher quit the company and then has found a job in an entirely different company. Just how many jobs in the BPO industry are going to come under threat because of this transition? And what will that mean for the Philippine economy, which is heavily dependent on this sector? That's coming up after the break.
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Over the past year, most of the major players in the Philippines, vast BPO industry, have introduced some form of AI co-pilot. Having algorithms run alongside human operators to make their work much more efficient, all in real time. And Bloomberg, Saritha Rai says, with these new AI tools, something that used to give the Philippines an advantage in this industry, its cultural closeness to America may not matter anymore. These AI tools will make it possible for BPOs to set up anywhere because accent will not be a problem. Saritha says that could open doors for foreign-owned companies to move their core centre operations to places in Africa, like Ghana, where it's cheaper to recruit agents and where the BPO industry is starting to expand. And that has big implications for the Philippine economy, which has been transformed by the sector. Some 10, 12 years ago, Manila was a different city. Now, most of these slick, sky scrapers, these luxurious homes, these big malls, all of this has been majorly on account of BPO industries boom. But now, one estimate says that up to 300,000 contact centre jobs could be lost in the Philippines to AI in the next five years. There is a recognition that, you know, that there is change coming, that there will be job losses, there will be less hiring, and you do not see the kind of frenzy that used to be the hallmark of the BPO industry even a decade ago. Now, Saritha says some of the executives in the industry she spoke to don't see the changes as all about job losses. They say AI will create different types of roles, jobs like training algorithms or curating data.
As for the Philippine government who had been banking on the BPO industry to help propel its economy, we are Saritha, how they've responded to the growing presence of AI in the industry. There is a recognition that AI can really upend the industry. The government has been talking about re-skilling and training their workforce, but there is very little yet on the ground that I see in terms of real skilling initiatives or training initiatives that the government has initiated. Last month, the government launched an AI research center aimed at helping turn the Philippines into a regional front-runner in the AI space. But Saritha says the government has yet to put a figure on how much it's planning to spend. There is no real dollars that aside for retraining. I suppose every technological revolution has ultimately led to some job cuts. And I wonder if this is any different or is this just another one of those key technological turning points in history?
In my coverage of the technology industry, I've covered a variety of disruptions. The latter part of the internet disruption, the mobile disruption, or the cloud disruption, all of these disruptions. But this is different. This is a technology that could in fact revenga what you're doing and what I'm doing. I keep looking over my shoulder to see what different technologies are doing in terms of writing and in terms of journalism. I know that there are AI anchors now, there are AI podcasters. What does that mean for your job and mine? There's always that little bit of niggling anxiety at the back of my head as I look at this technology and I've never felt that before. Maybe it'll be a cheerful Rebecca British accented AI avatar podcast host. It definitely feels like this story, perhaps more than some of the other stories that we've brought it on. We have a little bit more skin in the game here. I agree.
To that point, I wonder, does what happens with AI and the Philippines affect the rest of the world? I think the world over governments are challenged with how to deal with what is called a job displacement tools that this kind of AI is bringing in. There is an awareness that this is happening, but governments around the world are doing really very little to deal with it. So this is a bullet train that is really moving very fast and does the government have the speed to catch up? That is a question that I would leave open-ended.
This is the Big Take Asia from Bloomberg News. I'm Rebecca Chung-Welkins. This episode was produced by Naomi Long, Young Young and Alex Sugura, who also mixed it. It was edited by Caitlyn Kenny and Emily Cabbin. It was fact-checked by Alex Sugura. Our senior editor is Elizabeth Ponsault. Nicole Beams-Tobour is our executive producer and Sage Bauman is Bloomberg's head of podcasts. If you like our show, please leave us a review wherever you listen to podcasts or tell your friends. It makes a difference. Thank you and see you next time.
Are you looking for a new podcast about stuff related to money? Well today is your lucky day. I'm Matt Levine. And I'm Katie Groffeld. And we are the hosts of Money Stuff, the podcast. Every Friday we dive into the top stories about Wall Street, finance and other stuff. We have fun, we get weird, and we want you to join us. You can listen to Money Stuff, the podcast on Apple Podcasts, Spotify, or wherever you get your podcasts.
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