Table of Contents

• This Week

• Business Use Cases

• Things to Pay Attention to

This Week

Bottom Line Up Front

• OpenAI CEO Sam Altman has declared a "code red" to accelerate improvements to ChatGPT due to increasing competition from Google and Anthropic.

• The move is in response to Google's latest AI model, Gemini 3, and Anthropic's Claude Opus 4.5, which have put pressure on OpenAI to maintain its lead in the chatbot space.

• OpenAI has ambitious revenue goals and has committed to significant spending on AI infrastructure, but the company's efforts to scale up have raised concerns over an AI bubble.

Business Use Cases

Why is this important

• The workforce is becoming AI-native, with a new generation of professionals entering the workforce equipped to utilize AI to transform roles, teams, and leadership.

• AI is empowering individual contributors to take on tasks once handled by managers, increasing productivity and flattening hierarchies, but its true power lies in augmenting human skills and strengthening human connections.

• To succeed in an AI-driven world, leaders must evolve to focus on coaching, listening, and helping teams move faster with confidence, rather than just managing, and provide the tools, support, and culture needed for teams to grow and perform with confidence, as exemplified by Nokia's approach to innovation and leadership.

Bottom Line Up Front

• Gartner advises organizations to block AI browsers due to security risks, as their default settings prioritize user experience over security.

• The firm warns that AI browsers can expose sensitive user data, such as browsing history and open tabs, to cloud-based AI back ends.

• Gartner recommends conducting risk assessments and implementing mitigations, such as educating users and restricting AI browser capabilities, but suggests that even with these measures, AI browsers may still be too risky to use.

Bottom Line Up Front

• Artificial intelligence (AI) has expanded the capabilities of reverse engineering, allowing for the discovery of nonpublic information about a product in minutes using publicly available AI models.

• Trade secret law in the US, governed by the Uniform Trade Secrets Act (UTSA) and the Defend Trade Secrets Act (DTSA), defines a trade secret as information that derives independent economic value from not being generally known and is subject to reasonable efforts to maintain its secrecy.

• To protect trade secrets in the age of AI-enabled reverse engineering, in-house counsel may want to focus on emerging threats such as scraping of SaaS platforms and prompt injection attacks on generative AI systems, and consider implementing technical safeguards, updating terms of service, and reviewing confidentiality provisions, as suggested by lawyers Gregory S. Bombard and Andrew "A.J." Tibbetts.

Why This is Important

• To successfully adopt AI, companies must first define the decision they want AI to support and ensure they have the right data behind it, according to Rob McAveney, CTO at Aras.

• Data quality, consistency, and context are the biggest barriers to meaningful AI outcomes, and organizations must build stronger data governance and enforce quality standards before adopting AI.

• A clear plan and definition of success metrics are crucial, and companies should establish an AI Center of Excellence (COE) or a dedicated working group to identify real opportunities and set priorities, as suggested by Anurag Sharma, CTO of VyStar Credit Union, and Kayla Underkoffler, director of AI security and policy advocacy at Zenity.

Things to Pay Attention to

Bottom Line Up Front

• The combination of AI with a blueprint theory has allowed a company to develop its first anti-necrotic drug in record time, potentially extending a healthy lifespan and slowing the aging process.

• Scientists are using AI to identify the world's first anti-aging drug, with the goal of protecting people from frailty and disease associated with old age, and the technology is accelerating the hunt for treatments.

• An AI-powered startup, founded by sisters Karina and Serena Kern, has built a blueprint of aging to find the "switches" that trigger the body's decline, and they have identified a key driver of accelerated aging called necrosis.

Bottom Line Up Front

• BlackRock's Ben Powell believes the AI infrastructure spending spree is far from peaking, with "picks and shovels" suppliers being the clearest winners.

• The surge in AI-related capital expenditure is driven by tech giants like Microsoft, Amazon, and Meta, who are aggressively spending to secure an edge in the market.

• BlackRock is focused on companies that power the AI build-out, such as chipmakers, energy producers, and copper-wire manufacturers, expecting them to receive significant capital and drive positive surprises in their stock prices.Former Army AI leader tapped as Pentagon’s next CDAO

Bottom Line Up Front

• MIT researchers have developed a speech-to-reality system that uses AI and robotics to create objects, such as furniture, in as little as five minutes from spoken input.

• The system, led by Alexander Htet Kyaw, combines natural language processing, 3D generative AI, and robotic assembly to produce physical objects from modular components.

• The goal of the project is to make design and manufacturing more accessible and sustainable, allowing people to create objects quickly and easily without expertise in 3D modeling or robotic programming.

Bottom Line Up Front

• A new brain implant called BISC, developed by researchers at Columbia University, Stanford University, and the University of Pennsylvania, is a paper-thin, wireless, high-bandwidth device that enables advanced AI decoding of thoughts and intentions.

• The implant, which is roughly as thick as a human hair, has over 65,000 electrodes and can move large amounts of data quickly, making it a promising tool for treating neurological conditions such as epilepsy, paralysis, and blindness.

• BISC has the potential to revolutionize human-computer interaction and could lead to the development of new treatments and technologies that combine the brain with artificial intelligence, according to researchers including Ken Shepard and Andreas S. Tolias.