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Our Consulting approach to the adoption of AI and intelligent automation is human-centered, pragmatic, outcomes-focused and ethical.
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Investment in deep tech
First, in the digital-led and artificial intelligence (AI)-powered future, it pays to lead in developing deep tech infrastructure. If deep tech is to be the engine of the new value chains, Singapore must vie to be one of the high-performance hubs.
Investments in deep tech infrastructure are fundamental to supporting and catalyzing the economic opportunities in AI, biotechnology and advanced manufacturing. Singapore is currently home to global R&D centers and a vibrant semiconductor ecosystem and has been actively growing capabilities in AI and quantum technology.
To entrench the nation’s position in deep tech, it is crucial to scale up the national compute capacity, effectiveness and governance. Core to this is nurturing the talent pool and pipeline in this fast-evolving field.
The potential lag in talent development is a real and present risk. Past experience in implementing Industry Transformation Maps (ITMs), which provides clear frameworks for local enterprises embarking on digitalization, green transition and upskilling, shows that moving enterprises and the workforce up the curve can take time and significant change management.
These ITMs will now need to evolve for next-generation capabilities in AI and sustainability to enable every firm — big and small — to not just digitalize but also transform at its core sustainably and with AI.
Equally important is to invest in nurturing bold, homegrown deep-tech ventures. Public-private capital must go further upstream to fund these ventures before they turn bankable.