Malcolm Gladwell spoke at ClioCon about why professionals resist changes that alter their identity. He pointed to historical examples where new methods were rejected because those affected had to rethink their roles. Law firm partners face a similar hurdle with AI adoption, where the real challenge is changing how lawyers see themselves rather than learning new tools.
Community colleges are moving quickly to build AI training programs, but they risk repeating past errors. Over 40 years ago, robotics programs failed when employers did not hire graduates or trust college curricula. The lesson for today is that schools should study how industries actually absorb new skills before launching programs that may not lead to jobs.
Raoul Pal, founder of Real Vision, argues the AI investment cycle is not over despite recent declines. He attributes the pullback to a temporary liquidity squeeze tied to an oil shock. Pal points to strong fundamentals like growing demand, rising machine-driven token consumption, Anthropic's revenue growth, and $2.49 trillion in signed cloud-provider contracts as signs of continued momentum.
Key Takeaways
- Malcolm Gladwell says law firm partners resist AI because it challenges their professional identity, not because of the technology itself.
- Community colleges warn that AI training programs may fail if employers do not hire graduates, echoing robotics program mistakes from 40 years ago.
- Real Vision founder Raoul Pal says the AI trade remains strong despite a recent pullback driven by a temporary liquidity slowdown.
- Anthropic's revenue growth and $2.49 trillion in signed cloud-provider contracts signal continued strength in the AI sector.
- The AI market for remote patient monitoring grows from $2.79 billion in 2025 to $3.45 billion in 2026 and is projected to reach $8.02 billion by 2030.
- The Aur0ra ransomware group used AI agents to map networks and steal credentials with minimal human direction before deploying attacks.
- India's telecom regulator released draft guidelines for responsible AI use in networks and is seeking public comments by November 27.
- Litmas AI launched its Agentic Associate platform to help lawyers automate litigation workflows from case research to drafting motions.
- Cisco introduced AI Transit, which connects AI workloads from NeoClouds and AI factories to existing SD-WAN networks without rebuilding connectivity.
- A sharp decline in AI-related shares during October tested whether the broader US stock market could remain resilient under pressure.
Will AI Force Law Firm Partners to Change Their Professional Identity
Malcolm Gladwell spoke at ClioCon about why people resist new ideas that change their professional identity. He used examples of heart bypass surgery and policing methods that were ignored because they required powerful people to change their roles. Law firm partners may face the same challenge when adopting AI. The key issue is not the technology itself but the willingness to change how professionals see themselves at work.
Community Colleges Should Learn From Past Technology Mistakes
Community colleges are rushing to build AI training programs, but they may be repeating old mistakes. When robotics were introduced over 40 years ago, colleges created programs that students quickly lost interest in because employers did not hire for those skills. Employers often preferred outside consultants and did not trust community colleges to train workers. The article advises colleges to slow down and better understand how industries actually adopt new technology before launching AI programs.
AI Trade Not Over Despite Recent Pullback, Real Vision Founder Says
Raoul Pal, founder and CEO of Real Vision, says the AI trade is not finished despite recent declines. He believes the pullback was caused by a temporary liquidity slowdown linked to an oil shock that pushed the dollar and short-term rates higher. Pal points to strong AI fundamentals including growing demand, rising machine-driven token consumption, and Anthropic's revenue growth. He also notes 2.49 trillion dollars in signed cloud-provider contracts as evidence of continued strength.
Ransomware Gang Used AI Agents to Inflict Damage With Little Human Help
The Aur0ra ransomware group known as GOLD OGRE used AI agents to move through victim networks and steal credentials. The agents mapped networks, searched for passwords, and gained domain administrator access with minimal human direction. Sophos found evidence of this in artifacts from the Cursor AI coding assistant. Operators gave instructions in Russian and even used Cyrillic keyboard slips. The attackers maintained human control over deploying the ransomware itself, but AI handled much of the intrusion work.
October AI Stock Dive Tests Broader US Market Resilience
A sharp decline in AI-related shares during October tested whether the broader US stock market could hold strong. The sell-off raised concerns about the stability of technology investments and market confidence. This period of volatility put pressure on investors and raised questions about the future direction of AI-driven stocks. The analysis examines whether this dip signals a deeper problem or a temporary setback for the market.
India proposes rules for responsible AI in telecom networks
India's telecom regulator released draft guidelines for responsible AI use in networks and services. The Telecom Regulatory Authority of India published the proposal on Friday and seeks public comments by Nov. 27. The goal is to align telecom practices with the country's broader AI governance framework.
Litmas AI launches updated litigation platform for lawyers
Florida startup Litmas AI launched its updated platform called Litmas AI Agentic Associate. The company was founded in 2025 by Jason Weber and Sriram Sekhar, both former PayCargo executives. The platform offers litigation-specific tools to automate workflows from case research to drafting motions for summary judgment.
Cisco AI Transit links AI workloads to SD-WAN networks
Cisco introduced AI Transit, a solution that connects specialized AI environments to existing SD-WAN fabrics. Enterprise customers wanted easier ways to link AI workloads from NeoClouds and AI factories into their current networks. AI Transit builds on Cisco SD-WAN Cloud OnRamp and can deploy as a physical or virtual appliance. It lets enterprises extend their networking and security policies to AI infrastructure without rebuilding connectivity for each provider.
AI market for remote patient monitoring set to grow fast
The AI market in remote patient monitoring grew from $2.79 billion in 2025 to $3.45 billion in 2026 at a 23.4% growth rate. It is projected to reach $8.02 billion by 2030 at a 23.5% compound annual growth rate. Growth is driven by rising chronic diseases, telehealth adoption, connected medical devices, and investments in AI-driven healthcare analytics. North America led the market in 2025, while Asia-Pacific is expected to grow the fastest.
Sources
- Will AI Change the Identity of Law Firm Partners?
- Community colleges and AI: Learning from past mistakes
- The AI trade is not over; recent pullback was due to a temporary pause in liquidity from oil shock
- Ransomware gang talked AI agents into doing much of its dirty work
- Analysis-October dive for AI-related shares tests broader US stock market's resilience
- India's telecom authority proposes guidelines for responsible AI usage | MLex | Specialist news and analysis on legal risk and regulation
- Legal Tech Startup Litmas AI Launches Updated Agentic Litigation Platform
- Cisco AI Transit connects AI environments to your SD-WAN
- The Artificial Intelligence (AI) Market in Remote Patient Monitoring Is Projected to Grow at a 23.5% CAGR by
Comments
Please log in to post a comment.