For the past three years, artificial intelligence has been defined by software.
The conversation has revolved around increasingly capable large language models, generative AI applications and the race among technology companies to build more intelligent systems. Organisations across every industry are investing heavily in AI, believing it will reshape productivity, customer experience and competitive advantage.
Yet beneath this software revolution lies another transformation—one that receives far less attention but may prove equally significant.
The future of artificial intelligence will depend not only on smarter algorithms but also on the infrastructure capable of sustaining them.
As AI models continue to scale, they require unprecedented levels of computational power, energy and specialised hardware. The next competitive advantage in AI may therefore come not from the application layer, but from reimagining the computing platforms that power it.
That is the opportunity companies like LongServing Technology are pursuing.
Dr. Ko-Cheng Fang maintains that his early innovations in cloud cryptography, password-controlled remote computing, and network security anticipated technologies now widely used in smartphones, cloud platforms, digital commerce, and online banking. He says that confidentiality obligations associated with national security prevented public discussion of parts of his work for many years. Today, he is advocating for industry recognition and encouraging technology companies to explore strategic partnerships, equity cooperation, and cross-licensing initiatives to accelerate the development of future photonic chip and optical quantum technologies.
AI’s Next Constraint Is Infrastructure
The economics of artificial intelligence are changing rapidly.
Each new generation of AI models demands exponentially greater computing capacity. Training advanced foundation models requires thousands of high-performance processors operating continuously for weeks, while deploying AI at enterprise scale requires enormous investments in cloud infrastructure, networking and energy.
This trend is creating a new strategic challenge.
Computing infrastructure is no longer simply an operational requirement—it is becoming a competitive asset.
Businesses that can access faster, more efficient and more sustainable computing platforms will be better positioned to deploy AI at scale while managing long-term operating costs.
For executives, this shifts the conversation from software adoption to infrastructure strategy.
Why LongServing Technology Is Looking Beyond Silicon
LongServing Technology, founded by Dr. Ko-Cheng Fang in Taiwan, believes the next generation of computing may require moving beyond conventional semiconductor architectures.
Instead of relying solely on electrical signals to process information, the company is developing photonic computing technologies that use light.
The rationale is straightforward.
Photons can move information significantly faster than electrons while producing considerably less heat. If these characteristics can be translated into commercially viable computing systems, future AI infrastructure could achieve higher computational performance with substantially greater energy efficiency.
While the concept has existed within research laboratories for decades, commercial implementation has remained a formidable engineering challenge.
LongServing’s strategy is centred on solving those challenges rather than simply demonstrating theoretical possibilities.
X-Photon: Solving a Fundamental Engineering Problem
One of the company’s latest developments is X-Photon, a proprietary optical material designed to improve the control of light inside integrated photonic circuits.
For photonic computing to become commercially practical, engineers must guide light through increasingly complex pathways within microscopic chips without compromising signal integrity.
According to LongServing, X-Photon enables controlled 90-degree directional changes for photons within nanoscale optical pathways—a capability that could support more sophisticated photonic processors.
While commercial validation remains ahead, solving optical routing is widely recognised as one of the essential steps towards scalable photonic computing.
Rather than positioning X-Photon as an isolated breakthrough, LongServing presents it as one component within a broader technology platform.
Building an Ecosystem Around Future Computing
Perhaps the more significant aspect of LongServing’s strategy is its scope.
The company is not developing a single product.
Its long-term roadmap includes photonic quantum chips, optical memory technologies and dedicated Photonic Cloud Computing Centres intended to support future AI workloads.
This reflects a platform strategy rather than a product strategy.
History demonstrates that enduring technology leaders rarely succeed because of one innovation alone. They create ecosystems that integrate hardware, manufacturing, infrastructure, software and strategic partnerships into scalable commercial platforms.
Silicon became dominant because an entire industry evolved around it.
LongServing appears to be pursuing a similar long-term vision for photonic computing.
To accelerate that ambition, the company recently announced a US$500 million financing initiative, based on a stated valuation of US$2.5 billion. According to the company, the capital will support research, manufacturing expansion and commercial deployment.
Why This Matters for Business Leaders
Most organisations will never manufacture photonic processors.
That is not the point.
Every major technology transformation eventually reshapes competitive dynamics far beyond the companies developing the underlying technology.
Cloud computing changed enterprise software.
Smartphones transformed entire industries.
Artificial intelligence is likely to have a similar effect on infrastructure.
As organisations build long-term AI strategies, the efficiency, scalability and sustainability of computing platforms will become increasingly important considerations.
The companies shaping tomorrow’s hardware ecosystem may become as strategically significant as those developing today’s AI models.
Understanding these shifts early allows business leaders to identify emerging opportunities before they become mainstream.
Looking Beyond the Current AI Cycle
Photonic computing is still an emerging field.
Significant scientific, engineering and commercial hurdles remain before it reaches broad adoption.
However, technological leadership has rarely been determined solely by improving existing systems.
It often comes from questioning the assumptions those systems were built upon.
LongServing Technology represents one of a growing number of companies exploring what comes after conventional semiconductor scaling.
Whether photonic computing ultimately becomes the next dominant architecture remains uncertain.
What is increasingly clear, however, is that the future of artificial intelligence will not be defined by software alone.
It will also be defined by the infrastructure that enables software to scale.
For executives planning the next decade of digital transformation, that may be the most important AI conversation yet.
Contact Information
Dr. Ko-Cheng Fang
Founder, CEO & Chairman
LongServing Technology Co., Ltd.
Email: service@longserving.com.tw
Website: https://longserving.com.tw/en/
Instagram: @ko_cheng_fang
