The need for specialized skillsets will only rise with the advent of AI. The war for talent is already driving decision-making for AI companies and investors on where best to establish operations.

Companies have been sprouting up in established markets, often within major technology hubs and in close proximity to top academic institutions, to tap into the technology ecosystem and a ready crop of AI engineers and technical talent.

Take ChatGPT developer OpenAI, which recently announced London as its first international hub to develop AI technology and policies.

In Taiwan, contract electronics manufacturer Wistron built a new plant for AI, 5G, server and computing products in an AI-focused business park in Hsinchu, the city’s main tech hub and home to the world’s top chipmakers.

Meanwhile, other markets are using the same playbook to attract investors. In Shanghai, the municipal government is building an AI cluster as part of a three-year plan to increase its production output by 28% to 1.8 trillion yuan (US$251 billion).

AI-powered buildings are becoming the new normal as developers count on smart technologies to deliver buildings with high sustainability performance.

“With all generative AI applications, the key for real estate owners and users will be to create the right prompts to connect insights across essential elements such as human experience, real estate performance, and sustainability to learn and address new opportunities,” says Albert Ovidi, Chief Operating Officer, Markets, Asia Pacific, JLL.

“Another key opportunity is to further integrate AI with existing technologies such as robotics, drones, and digital humans to “see” different parts of a building and improve feedback and communication with the building and its users,” Ovidi says.

For instance, Hong Kong’s One Taikoo Place uses AI to identify, interpret, and integrate data from disparate building systems, equipment, and devices. The Grade A office tower reaps energy savings through predictive maintenance and operational workflow improvements.

But it’s not just office buildings where AI is expected to emerge.

“There are already sophisticated AI solutions used in supply chains, but not necessarily in terms of its real estate,” says Ovidi. “New technologies could enhance the analysis of the role of warehouses and determine where to place production versus distribution.”

The advancements in AI are transforming the workplace by enabling an improved human experience and a greater degree of personalization in the office environment.

For instance, in Microsoft’s Redmond headquarters, AI collects and analyzes the data gathered from sensors on employees’ behavior patterns to anticipate needs, and automatically adjusts environmental factors like temperature, lighting, and desk height based on individual preferences.

A recent study between JLL and neuroscience firm EMOTIV goes a step further by analyzing cognitive data to transform workspace design.

“What AI is able to do is to connect the cognitive data we collect from users with the physical data on usage patterns and human behavior before making sense of it and recommending better insights on how we can run offices,” says Ovidi.

With AI’s capabilities, Ovidi believes employees’ expectations for workspace personalization and experience will only soar.

“I believe the workplace should align with people’s experience of technology in their daily lives as personal, useful, and easy. And I believe AI can help meet that expectation,” he says.