Boston Consulting Group

AI is advancing so quickly that assumptions that are true today could be wrong in just a few months. In a few years, building a new AI system could be as accessible and commonplace as building a website is today. So leaders better start building successful teams now.

In the latest episode of BCG's AI Pioneers series, Matt Wood, Chief AI Technology Officer at @awscloud, joins BCG's Dylan Bolden to explore how business leaders can build organizations that keep up with the pace of AI acceleration.

Watch the full interview: on.bcg.com/4sJP6Ra

Caring for his late father inspired Ashkan Afkhami to develop an AI solution to help patients make more informed health care decisions.

No single physician can keep pace with every new treatment, especially when a patient’s needs are complex. That’s why Healthcare Commercial AI by BCG X uses agentic AI to gather data from multiple sources and then identify treatment options tailored to an individual’s specific needs.

Watch this video to learn more: on.bcg.com/4ej1aCL

What does it take to move from an AI that answers questions to one you can trust to take actions inside a business?

In the latest episode of BCG X’s Tech Bytes, Fizi Yadav and Tristan Mallet explore why building enterprise AI agents requires more than increasingly powerful models.

Connect with our experts and discover what the team is building in this space: on.bcg.com/4k8QEBG

The rate at which US companies disappear has more than halved since 2000.

Five-year failure risk (the proportion of companies present in a given year that are delisted within the following five years) peaked at around 40% in the early 2000s. It now sits at roughly 18%, about where it stood in 1980.

The BCG Institute reached this number by assembling a database of over 30,000 US-listed public companies from the last 50 years. Its analysis found that a company’s failure rate depends on its age, size, and industry.

Here’s what CEOs can do if their failure risk is rising: on.bcg.com/4smWYI8

Which countries are making the most progress with AI adoption?

BCG's AI Maturity Matrix 2026 assesses AI readiness across more than 75 economies and 33 indicators.

Chile, the Czech Republic, Ecuador, Greece, Japan, Lithuania, Nigeria, and South Korea have all moved up a readiness tier since 2024.

With AI ambition now nearly universal, execution speed is the differentiator.

Read more: on.bcg.com/4eFXoU0