he race for AI has become the new black, the dominant obsession of our time, the trend no institution, company, or government wants to appear to miss. It is framed as progress, justified in the name of competitiveness, and presented as inevitable.

Anthropic recently published a study presented as evidence about AI’s early labor-market impacts. Yet the paper’s empirical core comes from a much narrower source than its title suggests: Claude conversations and API traffic. That makes the study much less decisive as a measure of AI’s labor-market impacts across the economy.

We've been told that being knowledgeable and focused on everything we are trying to achieve is a prerequisite for success. That is a misconception for human intelligence and paradoxically a must-have for artificial intelligence (AI).

The deployment of Generative AI (GenAI) is often highlighted in current discussions as a means to achieve significant productivity gains in business. This is nothing new. Any tool adopted by a company has the primary mission of supporting its performance.

There has been considerable speculation recently about the potential of generative AI to significantly boost worker productivity. However, among the challenges companies face when deploying genAI, there is one that is particularly unique to business and applies to any solution an organization might consider deploying: the realization of return on investment.

We spend our time clicking for much of our lives. Each of these clicks, while seemingly benign, collectively feeds into a vast digital ecosystem in which our preferences and behaviors are not only recorded, but analyzed and used to influence our decisions at an unprecedented scale.

Many economic actors around the world are seeking the next generation of new business models, focused, passionate, stubbornly determined...

Digital for Good is about acknowledging the paradoxes posed by technology to address both its benefit and its unsustainable nature for the w

Artificial Intelligence may be the most evocative, but also the most scientifically inaccurate term given by scientists to name a...

In the pursuit of harnessing the capabilities of Artificial Intelligence (AI), businesses and researchers grapple with paradoxes that...

Beyond the challenges of safety and security posed by artificial intelligence, what environmental issues does its development raise? For...

In recent months, the rapid adoption of generative artificial intelligence (Gen AI), exemplified by OpenAI’s software ChatGPT, has...

Some innovative projects will become viable businesses. Most innovative projects won’t. There is no miraculous recipe. This being the...