338 | AI agents now work 6x the hours of their humans at Anthropic 🤯, AI just put 70% of all websites at risk, Is AI a bubble? “We grew a mind” (OpenAI safety insider), and more important AI news for the week ending October 23, 2026

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Is AI creating the biggest business opportunity of our lifetime—or setting us up for a spectacular crash?
Billions are pouring into AI. Companies are reporting extraordinary productivity gains. And the people building the most advanced models are raising serious alarms about what comes next. The opportunity is enormous, but so are the risks—and business leaders can't afford to ignore either side.
In this episode of Leveraging AI, Isar Meitis cuts through the headlines to examine the AI bubble debate, reveals what Anthropic's internal productivity data means for the future of work, and explores why a former OpenAI safety insider is sounding the alarm. From AI agents transforming business operations to emerging cybersecurity threats, this is a reality check every business leader needs.
In this session, you'll discover:
AI bubble or business boom? Why experts disagree about the sustainability of AI investments, and what a potential market correction could mean for businesses.
The productivity revolution is already happening. How Anthropic reports a fivefold increase in code output and significant efficiency gains across sales, legal, finance, and recruiting.
The 75% wake-up call. Why Anthropic employees expect AI to handle 75% of their work by 2030, while the general US public expects just 28%.
The future of hiring is changing. Why AI is reducing demand for some junior roles and shifting the focus toward judgment, autonomy, and strategic thinking.
An OpenAI insider's warning. Why former safety employee David Robinson resigned and what his concerns reveal about AI development, alignment, and release pressures.
AI-powered cybercrime is escalating. How agents are being used to attack financial institutions, discover critical software vulnerabilities, and potentially compromise security monitoring systems.
What leaders should do now. Why AI education, workforce planning, smarter automation, and measurable productivity outcomes should be strategic priorities.
The bottom line? Whether AI is in a financial bubble or not, its impact on business operations is already very real. The challenge isn't simply adopting more AI. It's building an organization that knows how to use it effectively, safely, and strategically.
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