Tomoko Yokoi

Contributor at Forbes

Exploring fresh thinking on #digitaltransformation, #responsible & #inclusive digital. @Forbes.com Contributor @IMD_Bschool and @ETH_en

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Articles

How AI Is Rewriting The Future Of Aging

2 weeks ago | flipboard.com | Tomoko Yokoi

11 hours agoWith Telsa profits plummeting and Musk’s own net worth down nearly $200 billion, the full cost of his bet on Donald Trump is coming into focus. Tesla released its quarterly earnings report on Tuesday, its first since the company’s chief executive, Elon Musk, took up residence in the Trump White …
How AI Is Rewriting The Future Of Aging

2 weeks ago | forbes.com | Tomoko Yokoi

Artificial intelligence (AI) is rapidly becoming a driving force in longevity science. Once a behind-the-scenes tool, AI is now central to how researchers accelerate timelines, discover new drugs, and tailor treatments to individual biology. This shift is not only transforming the science of aging—it’s also attracting new investment to a field long seen as too slow-moving to scale.
Are you unlocking deep tech’s potential? A guide for corporates

1 month ago | imd.org | Tomoko Yokoi

Learn Brain CircuitsJoin us for daily exercises focusing on issues from team building to developing an actionable sustainability plan to personal development. Go on - they only take five minutes. Read more Explore LeadershipWhat makes a great leader? Do you need charisma? How do you inspire your team? Our experts offer actionable insights through first-person narratives, behind-the-scenes interviews and The Help Desk.
Longevity: From Buzzword To Nascent Business Category

1 month ago | forbes.com | Tomoko Yokoi

The topic of longevity has recently captured the public imagination, thanks in part to the success of Netflix documentaries like Live to 100: Secrets of the Blue Zones and Don’t Die: The Man Who Wants to Live Forever. Once confined to niche scientific communities and wellness blogs, the idea of the extending human lifespan—or at least improving the quality of later years—is now entering mainstream conversation.
Do you know the environmental cost of GenAI and how to mitigate against it?

1 month ago | imd.org | Tomoko Yokoi

A. It is approximately one-fifth the amount. B. It is roughly equivalent. C. It is five times the amount. Answer: C. According to one recent US study, getting one GenAI model up and running for a business generates an estimated 284,000kg (626,155lbs) of CO2 emissions – almost five times the emissions produced by the average US car over its entire lifetime. A. It is approximately one-fifth the amount. B. It is roughly equivalent. C. It is five times the amount. Answer: C.
Are you using data governance to reap the rewards of GenAI?

1 month ago | imd.org | Tomoko Yokoi

The risksIP infringementGenAI tools are trained on large language models (LLMs). These consist of huge amounts of data that may be protected by IP rights. The scraping and use of this data to train AI and generate its outputs could constitute IP infringements. (In many countries, you can be liable for such an infringement without having knowingly infringed.)HallucinationThis is where a GenAI tool generates an inaccurate output – which is much more common than many organizations realize.
Large Behavior Models - AI-Conditioned Robots - I by IMD

1 month ago | imd.org | Tomoko Yokoi

How would you teach a robot to make breakfast just the way you like it, wash your car, or give your children a French lesson? As any AI developer will explain, you simply need to show them what to do. Autonomous systems, including robots, can use large behavior models (LBMs) to understand and simulate human actions and behaviors. What’s more, they can repeat them indefinitely without getting bored or fatigued. On the contrary, the more they use them, the more creative they will get.
Beyond Foresight; Imagining Distant Futures

2 months ago | forbes.com | Tomoko Yokoi

As uncertainty grows, organizations must rethink how they navigate a volatile world. Rather than relying solely on scenario planning based on historical data, organizations could take a more proactive approach—imagining and shaping distant futures. This shift moves beyond predicting what is likely- to exploring what is possible. By doing so, organizations can influence change rather than merely react to it.
How Corporates And Startups Can Unlock Deep Tech’s Potential

Jan 28, 2025 | forbes.com | Tomoko Yokoi

Venture capital and private-equity funding for deep tech promising to address society’s greatest challenges has doubled its share globally in the past decade. Moreover, governments are increasingly prioritizing deep tech, which is often “dual use”—applicable in both civil and military contexts—through industrial and security policies designed to reduce reliance on foreign technology and promote a nation’s security.
GenAI: Competitive advantage versus environmental cost

Dec 5, 2024 | imd.org | Tomoko Yokoi

Amid all the hype around generative artificial intelligence (GenAI), a major downside is usually overlooked: the environment. Yet the environmental impact of GenAI is so great that it threatens to undermine the fight against climate change and derail progress toward decarbonization targets. The problem lies in the amount of energy required to power data centers and related infrastructure on which GenAI depends.