Why ai is turbocharging China’s software market instead of killing it | FOMO Daily
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Why ai is turbocharging China’s software market instead of killing it
China’s software market is not rolling over in the face of AI. It is growing into it, with legacy SaaS firms adding AI features, government policy pushing wider adoption, and software increasingly becoming the route through which AI turns into real business value.
That makes this less a story about software dying and more a story about software evolving faster than many investors expected.
The first reaction was to assume software was in trouble
Whenever a new AI wave hits, the same fear shows up almost immediately. If chatbots can write, search, design, summarise, answer questions, and automate tasks, then surely the old software model starts to crack. That has been one of the loudest assumptions in global tech for months. Investors see fast-moving AI products, giant model launches, agent tools, and a growing list of tasks being absorbed into intelligent systems, and the instinct is simple. Old software gets flattened. Legacy tools get crushed. Traditional SaaS firms lose relevance. It is a dramatic theory, and like most dramatic theories, it spreads quickly because it sounds clean. The problem is that real markets are rarely that neat. In China right now, the evidence points in a different direction. According to an HSBC analyst cited by the South China Morning Post, legacy Chinese SaaS firms are not being eaten alive by AI. They are integrating it into what they already do and seeing strong growth from it. That is a very different story from collapse.
What is happening on the ground looks different from the fear
This is the part that makes the story worth paying attention to. The HSBC view described in the SCMP piece says there is a gap between investor sentiment and what is actually happening inside China’s software sector. Rather than being replaced by a new generation of standalone AI products, established software firms are folding AI into their existing platforms and using it to improve the value of what they already sell. That matters because it suggests AI is not automatically a substitute for software. In many cases it is becoming an enhancement layer. It can make enterprise tools more useful, more productive, more automated, and more attractive to buyers without destroying the underlying software business. What this really means is that the software market may not be shrinking so much as upgrading. In that kind of environment, the winners are not necessarily the newest companies with the flashiest models. They may also include the firms that already have distribution, customers, workflows, and products ready to absorb AI improvements.
China’s software base is already too big to dismiss
One reason this matters is that China’s software industry is not a small side story. Official figures published by China’s government show that the country’s software and information technology services industry generated 13.73 trillion yuan in revenue in 2025, up 13.2 percent year on year. The information technology services sub-sector alone brought in 10.64 trillion yuan, up 14.7 percent, while cloud computing and big data services rose 13.6 percent to 1.62 trillion yuan. Those are not the numbers of a market quietly fading away under AI pressure. They are the numbers of a sector that is still growing at scale. The problem is that people often talk about “software” as if it were one fragile category waiting to be disrupted. In reality it is a wide commercial layer covering cloud, consulting, data handling, security, integration, enterprise workflows, and digital infrastructure. AI can threaten parts of that stack, but it can also increase demand across large parts of it. In China, that second effect looks increasingly important.
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Beijing is not treating AI as a destroyer of software
Government direction matters in China, and the policy signals here are unusually clear. In the 2026 Government Work Report, Beijing said it would “advance and expand the AI Plus Initiative,” promote faster application of intelligent terminals and AI agents, encourage large-scale commercial application of AI in key sectors, and support open-source AI communities. Reuters separately reported that China’s new five-year plan and “AI+” strategy put AI-driven industrial upgrading at the centre of economic growth, with strong emphasis on applying AI in manufacturing, healthcare, education, and logistics. That does not sound like a government preparing for software to be swept aside. It sounds like a government pushing AI deeper into the economy through the systems, services, and enterprise layers already in place. This is where things change. Once policy starts pushing adoption across sectors, software companies stop looking like victims of the AI era and start looking like one of the main vehicles carrying it into real industry.
The real opportunity is in integration not replacement
That is the central point too many people miss. AI on its own is exciting, but businesses do not buy excitement. They buy outcomes. They buy tools that fit into existing workflows, reduce friction, save time, improve decisions, cut repetitive labour, and help teams operate better. That is why integration matters more than novelty. A standalone model can impress investors and dominate headlines, but a software company that knows how to plug AI into procurement, customer support, accounting, project management, operations, analytics, or workflow automation may be in a better position to turn AI into recurring revenue. The HSBC argument lands because it recognises that enterprise markets tend to absorb technology through familiar channels. Businesses are often more willing to pay for improved versions of what they already use than for entirely new categories they do not fully trust yet. In that sense, AI can turbocharge software precisely because software gives AI a route into paying customers.
Investor psychology is still catching up to that reality
Markets love disruption stories because they are easy to tell. “AI kills software” is a clean sentence. “AI upgrades software and creates uneven new growth opportunities across incumbents and challengers” is a better explanation, but it is not as flashy. The SCMP report suggests that investor sentiment has not fully caught up with what is happening operationally inside China. That mismatch is where some of the most interesting market opportunities can appear. If investors stay locked into the idea that legacy software should automatically lose in the AI age, they may underprice the companies that successfully embed AI into existing products and customer relationships. At the same time, they may overpay for pure AI stories that still have to prove monetisation. What this really means is the software market may be entering a phase where execution matters more than narrative. Companies that actually ship useful AI-enabled features may be rewarded more durably than those that simply attach themselves to the hype cycle.
China’s wider AI push is creating a rising tide
This is not just about software vendors tweaking a few products. China’s broader AI push is generating a larger environment in which software demand can strengthen. Reuters reported in March that China is pushing AI across its economy, with local governments and industrial regions such as Guangdong moving to embed the technology throughout manufacturing and other sectors. The government’s AI Plus initiative is part of a broader effort to create what official language calls new forms of smart economy. That kind of top-down drive matters because it expands the number of organisations looking for AI-enabled tools, services, integrations, and infrastructure. Once adoption starts spreading across provinces, industries, and enterprise functions, the commercial opportunity widens. Software firms that can package AI into usable business products are suddenly sitting in a better spot. They are not waiting for some distant future. They are selling into a market that is being actively encouraged to digitise and automate faster.
Infrastructure and application are now feeding each other
Another reason the story is getting stronger is that China’s AI ecosystem is no longer just about models. It is also about infrastructure, cloud, and enterprise application layers feeding into one another. Reuters reported in April that Chinese AI startup ShengShu raised 2 billion yuan, led by Alibaba Cloud, as competition intensified in China’s AI sector. The Financial Times reported earlier that ByteDance has been using AI-led cloud services to challenge established players, while Reuters has also highlighted growing AI-related capital spending by Tencent. This tells you something important. The Chinese market is not moving in one line from model builders to end users. It is becoming a full stack race involving infrastructure, cloud, enterprise tools, and software enablement. In that kind of environment, software firms do not sit outside the boom. They sit inside it. Their job is to turn all that model and infrastructure capability into something businesses can actually use.
Software monetisation may finally be entering its next phase
There is another angle here that deserves more attention. HSBC’s own broader research outside this China-specific comment has also argued that 2026 marks a meaningful phase for software monetisation in the AI era, with software increasingly becoming the primary route through which AI generates commercial value. That idea fits the China story well. The first phase of the AI boom was about models, infrastructure, and capability shock. The next phase is about monetisation, and monetisation usually happens when technology is wrapped inside products companies already know how to buy. The problem is that people often assume the companies closest to foundational AI automatically capture the most value. Sometimes they do. But often the bigger commercial layer sits one step higher, where businesses pay for the packaged outcome rather than the raw capability. That is exactly why software may be getting stronger rather than weaker. It is where the abstract power of AI becomes ordinary business value.
None of this means every software company wins
It is still important not to turn this into a fairy tale. AI may be helping China’s software market overall, but that does not mean every legacy company gets a free pass. Some firms will integrate AI well. Others will bolt on weak features and call it innovation. Some will find genuine customer demand. Others will discover that demo quality and business quality are two very different things. There is also the question of margins, competition, pricing pressure, and how much value flows to cloud providers and infrastructure players instead of application vendors. China’s fast-moving AI environment is also highly competitive, with state policy, local champions, hyperscalers, startups, and open-source ecosystems all pushing at once. That kind of market creates opportunity, but it also creates pressure. The main point is not that software is suddenly safe forever. The main point is that the simple death narrative looks increasingly wrong.
This is also a story about how China wants to scale AI
There is a bigger national logic behind all of this. China does not just want breakthrough AI research. It wants broad deployment, industrial upgrading, and commercial scale. Official policy language about AI Plus, intelligent terminals, AI agents, open-source ecosystems, and sector-wide adoption all points in that direction. That is why software matters so much. Software is one of the fastest ways to diffuse AI capability into the everyday economy. It can reach offices, factories, local governments, logistics networks, retailers, and service businesses far more quickly than a narrow frontier-model race on its own. What this really means is that software is part of China’s distribution strategy for AI. The model gets the headlines. The software layer gets the adoption. And adoption is what turns national ambition into economic effect.
The market story from here is more interesting than the old one
If this trend holds, investors and founders will need to stop asking the wrong question. The wrong question is whether AI will destroy China’s software sector. The better question is which parts of China’s software sector are best positioned to absorb AI and monetise it. That is a much more useful lens because it shifts attention toward distribution, vertical expertise, customer lock-in, workflow depth, and product quality. It also forces a more grounded conversation about where value is likely to land over the next few years. The easy trade was backing anything with an AI label. The harder, and possibly smarter, trade may be finding software businesses that can quietly turn AI into durable revenue growth while the market is still stuck on the old fear story.
China’s software market may be entering an upgrade cycle
That may be the simplest way to describe what is happening. Not extinction. Not replacement. An upgrade cycle. AI is pushing software to become more capable, more automated, and more central to business productivity. Beijing is encouraging adoption. Industry revenue is still growing at scale. Cloud and big data services are expanding. Analysts on the ground are seeing established SaaS firms benefit from adding AI to existing products. And the wider AI ecosystem, from cloud to startup funding, is reinforcing the momentum. That does not mean the path is smooth, but it does mean the core direction looks stronger than the death-of-software narrative suggests. China’s software market is not being eaten. It is being re-energised by the very technology many people assumed would replace it.
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