Why It’s Hard to Redesign Work Processes with AI
Why It’s Hard to Redesign Work Processes with AI

There is increasing consensus that to get value from AI, you have to redesign your business processes and embed AI within them. A McKinsey 2025 survey, for example, found that redesigning workflows is the factor most highly correlated with getting value from AI. A 2026 paper from MIT researchers argues that AI benefits will come from supporting “chains” of business activities, i.e. processes. My friend Erik Brynolfsson, head of Stanford’s Digital Economy Lab, has long argued that in a “J curve” situation, productivity with AI initially lags as companies re-engineer processes, but then increases significantly once AI is fully integrated into new, redesigned workflows.

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Tom DavenportTom DavenportAI, Process Driven
How AI Boosts Cybersecurity Defenses
How AI Boosts Cybersecurity Defenses

Artificial intelligence (AI) has created a paradigm shift for Cybersecurity. AI and machine learning (ML)-powered computing systems are now essential to cyber operations. They assist security teams in keeping an eye on large networks, spotting irregularities instantly, and reacting more quickly than is humanly feasible. By automating tasks that would otherwise overburden under-resourced teams, AI levels the playing field in today's threat landscape, which is characterized by sophisticated ransomware, social engineering, and malware.

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Chuck BrooksChuck BrooksAI, Threat intelligence, Cybersecurity
Securing AI Systems
Securing AI Systems

AI has brought significant advances in automation, decision-making, and content generation, but these benefits carry inherent risks that demand robust security measures. AI security spans data privacy, model integrity, adversarial robustness, and regulatory compliance. This article examines the primary threat vectors targeting AI systems, the key domains requiring protection, and the security controls organizations should put in place to address them

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Utpal Mangla, Joel George, John ThomasUtpal Mangla, Joel George, John ThomasAI security, data privacy, regulatory complicance
Convergence is Not the Hard Part
Convergence is Not the Hard Part

It's good work. Five forces - technology, economics, geopolitics, demographics, climate - each with their own core shifts and key uncertainties.

The work isn’t prediction. It’s perseverance. It’s staying with the complexity long enough to recognize patterns instead of imposing them. It’s building systems that make it easier for the parent with the 13-point cognitive tax to access the same quality of care, information, and decision-support as the investor reading Amy Webb’s report at $10,000 a seat.

That’s not a technology problem. It’s not even an AI problem. It’s a recognition problem — who we see, what we count, and whether we’re willing to build for the ground conditions that already exist instead of the convergence we hope is coming.

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Beth RuddenBeth RuddenConvergence, technology, economics, geopolitics, demographics, climate
Decades of Fearing Automation but Hoping for Augmentation
Decades of Fearing Automation but Hoping for Augmentation

I’m reading Jill Lepore’s book If/Then about the origins of analyzing human behavior data with computers. One interesting aspect of it is the automation paranoia arising from the introduction of the IBM 704 mainframe computer in 1954 (the year I was born). The book even includes an image from an automation-focused campaign leaflet for John F. Kennedy’s 1960 presidential campaign—see it above.

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Tom DavenportTom Davenportaugmentation, automation, AI
Skill Atrophy: Frictionless AI and Cognitive Debt
Skill Atrophy: Frictionless AI and Cognitive Debt

As the common logic goes, a smooth road can make you sleepy. A bumpy road keeps you alert. Organizations are increasingly deploying AI to automate discrete activities and sub-processes. Examples are AI copilots that draft, summarize, and decide, and increasingly, AI agents that execute multi-step work with minimal human input. The cumulative logic is irresistible: less friction at each step means faster throughput and higher productivity for all. 

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Mohammad Hossein JarrahiMohammad Hossein JarrahiCognitive Debt, Skill Atrophy: Frictionless AI, Skill Atrophy, AI
AI Is Rewriting The Rules Of Cybersecurity
AI Is Rewriting The Rules Of Cybersecurity

Artificial intelligence is changing cybersecurity faster than most companies expected. It is helping security teams catch threats earlier, sort through overwhelming volumes of alerts and respond more quickly. But it is also making life easier for attackers, who can now produce more convincing phishing emails, better impersonation scams and more targeted attacks at much greater scale. This is what makes the current moment so important. AI is not just improving cybersecurity tools. It is changing the nature of the fight itself.

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Sanjit Singh DangSanjit Singh DangAI, AI and cybersecurity, cybersecurity, WEF, security
Quantum Computing: Bridging the Gap Between Powerful Promise and Business Reality
Quantum Computing: Bridging the Gap Between Powerful Promise and Business Reality

Quantum computing stands at an intriguing but early stage of development. The technology is advancing, and there are credible signs of progress across hardware, algorithms, and ecosystem readiness. However, the leap from controlled pilots to mainstream enterprise adoption remains substantial. For now, quantum computing is best understood not as an immediate disruptor, but as a strategic, long-term investment—one that organizations should monitor closely, experiment with cautiously, and prepare for thoughtfully.

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Andrew SpanyiAndrew SpanyiQuatum computing, AI, Deployment, Cybersecurity
Quantum Computing Pushes from Research to Reality
Quantum Computing Pushes from Research to Reality

After years of anticipation, quantum computing is no longer a distant promise. It has moved decisively into the center of the technology conversation, joining artificial intelligence as one of the defining breakthroughs of recent years. The shift has been driven by an acceleration in scientific progress and a surge in corporate investment that has pushed quantum computing from a laboratory experiment to a strategic priority.

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Ekta DangDr. Ekta DangQuantum computing, national security, advanced manufacturing, geopolitical
Pricing Science in the Era of Algorithmic Regulation: A Call for Responsible Design and Measurable Efficacy
Pricing Science in the Era of Algorithmic Regulation: A Call for Responsible Design and Measurable Efficacy

Pricing is one of the most important decisions for organizations and individuals. We may pay 20 dollars for a glass of wine in a restaurant while the same bottle costs the same at a grocery store. The liquid is identical. The value is not. We are paying for context, service, timing, and experience. Price is not a static number. It is a quantified expression of perceived value at a particular place and time.

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Haluk DemirkanHaluk DemirkanPricing, value based pricing, regulation, data, algorithms
Resilience Is The New Priority In A World Of Emerging Digital Threats
Resilience Is The New Priority In A World Of Emerging Digital Threats

Digital infrastructure serves as the foundation for national security, the economy, and everyday life in today’s hyper-connected world. Artificial intelligence (AI) and quantum computing are examples of emerging technologies that inspire creativity. However, these technologies also magnify risks posed by sophisticated attacks, black swans, gray swans, economic volatility, and geopolitical tensions. At this point, resilience—the ability to anticipate, endure, and recover from disruptions—is absolutely necessary.

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Chuck BrooksChuck BrooksCybersecurity, Digital infrastructure, ai, Deepfakes
Moderation in All Things—Including AI
Moderation in All Things—Including AI

This is the season of holiday overeating and over-drinking—despite the fact that moderate consumption of food and alcohol is widely believed to lead to a better life. Although I sometimes agree with Oscar Wilde in advocating “moderation in all things—including moderation,” I am beginning to think that AI—particularly the generative variety—is no different than food, alcohol, or other good things that become problematic when used excessively.

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Tom DavenportTom DavenportAI, ChatGPT, dementia
Why Your GenAI Pilot Won't Scale (And What to Do About It)
Why Your GenAI Pilot Won't Scale (And What to Do About It)

The technology that dazzled in a controlled environment struggles to deliver consistent value when deployed across the enterprise. This is not a technology problem. It is an architecture problem. And until executives recognize the difference, organizations will continue investing millions in AI capabilities that never achieve meaningful scale.

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Seth Earley, Heather Eisenbraun, Thomas BlumerSeth Earley, Heather Eisenbraun, Thomas BlumerAI, architecture, metadata
Strategic and Tactical Return on AI
Strategic and Tactical Return on AI

The most extreme version of strategic AI is found in a small but growing number of companies might be described as “all in on AI” or “AI first.” These companies are aggressively pursuing strategic returns on their AI investments. They are using the technology to enable new strategies, new business models, and dramatically new ways of performing their business processes. While they represent a low percentage of companies, they are providing trailblazing examples for the majority of companies that are more conservative.

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Tom DavenportTom Davenport, Laks Srinivasanai, strategic, tactical