A high-stakes Federal Reserve leadership bid brings renewed focus on central bank independence, political pressure, and the challenges of managing inflation amid global economic uncertainty.
Boston stands at the center of AI-driven job disruption, with over 200,000 roles at risk and billions in wages exposed, highlighting the growing impact of automation on knowledge economies in the U.S.
Will AI trigger the next Great Displacement? Bhaskar Chakravorti explores how “Wired Belt” knowledge workers in swing states could drive a massive political revolt as AI disrupts white-collar industries.
Digital Planet Chair Bhaskar Chakravorti sits down for a candid chat with the Indianness Podcast, recounting his academic journey, his learnings from global businesses and leaders, and, most importantly, the impact of Artificial Intelligence when it can be funnelled into solutions for every citizen
A closer look at the white-collar roles most vulnerable to AI disruption, and how the resulting job losses could reshape major U.S. cities, states, and knowledge-driven economies over the next five years.
Beyond moral panic, AI offers both risk and augmentation. India must map the “topography” of job vulnerability to navigate this historic shift in the labor market.
Fletcher’s Digital Planet at Tufts University has launched the American AI Jobs Risk Index, data-driven report that maps how AI could impact jobs across occupations, industries, cities, and states in the U.S.
From vulnerable data centers to rising energy costs, the Iran war is revealing the structural fragilities that could finally pop the AI industry bubble.
AI’s growth story is now facing its biggest stress test: geopolitical conflict, chip supply vulnerabilities, and rising market speculation are turning bubble fears into a serious economic risk.
Combining critical thinking with AI literacy is the key to securing future roles, according to Tufts Dean Bhaskar Chakravorti in the new AI Jobs Risk Index.
A new study warns 9 million U.S. jobs face AI displacement by 2031. See the American AI Jobs Risk Index list of the most—and least—vulnerable occupations.
The “Wired Belts” are the new Rust Belts. A Tufts study warns 9.3M jobs and $757B in income are at risk from AI. See if your city or career is on the danger list.
New study predicts AI could displace 9 million US workers in 5 years. Discover which 33 “tipping point” jobs are most at risk and how to stay ahead of the bots.
Digital Planet’s AI Jobs Risk Index provides a data-driven map of U.S. job displacement. Discover the 33 “tipping point” occupations most at risk from AI tools.
Digital Planet Chair Bhaskar Chakravorti decodes the implications of these dynamics by drawing attention to historic crises that emerged because of a lack of purposeful direction and uncontrolled spending.
Tufts University’s new American AI Jobs Risk Index reveals up to 9.3 million US jobs face displacement, with high-skill knowledge workers in major tech hubs most at risk.
Digital Planet Chair Bhaskar Chakravorti sits down for a candid chat with the Indianness Podcast, recounting his academic journey, his learnings from global businesses and leaders, and, most importantly, the impact of Artificial Intelligence when it can be funnelled into solutions for every citizen
The article outlines India’s push for human-centric AI frameworks that balance innovation with workforce readiness and social impact.
Bhaskar Chakravorti shares the stage at the India AI Impact Summit 2026 to discuss the future of AI literacy in India.
Explore how India can win the AI race by prioritizing social welfare over power, using purpose-driven tech to transform farming and healthcare.
The boom makes it hard for competitors to step away from a treadmill of continuous acceleration.
Tech leaders say systems now rival human intelligence in key tasks, further fuelling the superintelligence debate
Microsoft, Alphabet, Meta, and Amazon are investing tens of billions in data centers. AI infrastructure is now a key driver of US economic growth.
The AI bubble may be inflated by fear and hype — but real change is coming. The questions are: are tech companies ready, can the economy sustain the spending, and how will we measure value?
The obsession with powerful large language models overlooks the developing world.
