On February 3, 2026, the AI landscape saw significant developments across various sectors. In healthcare, Doctronic launched an AI system in Utah, approved by state regulators, to renew around 200 common medications without human clinicians. This move has sparked debate among experts regarding whether the Food and Drug Administration should review such AI products as medical devices. Meanwhile, the global AI in drug discovery market is projected to reach USD 8.10 billion by 2030, growing at a 25% annual rate from 2023, as AI helps reduce the high costs and lengthy timelines of traditional drug research.
Economically, AI is poised to reshape valuations and investment strategies. Ian Charles, managing partner at Arctos Partners, which manages $15 billion in assets, stated that AI will boost sports team valuations, making live sports content even more valuable. Conversely, Stephen Gray from Blackstone, overseeing $1.27 trillion in assets, highlighted AI disruption as a top concern, noting that while some businesses are less affected, others like insurance companies face significant changes. Blackstone is investing in AI infrastructure, such as data centers, which Gray considers the safest approach, alongside riskier ventures in large language model companies.
The AI industry also anticipates a wave of mergers, as many AI companies, particularly smaller startups and
Key Takeaways
- Doctronic launched an AI system in Utah on February 3, 2026, to renew approximately 200 common prescriptions without human clinicians, raising questions about FDA oversight.
- The global AI in drug discovery market is projected to reach USD 8.10 billion by 2030, growing at a 25% CAGR from 2023, driven by AI's ability to reduce research costs and time.
- Arctos Partners, managing $15 billion in assets, believes AI will significantly increase sports team valuations due to the growing value of live sports content.
- Blackstone, with $1.27 trillion in assets, identifies AI disruption as a major business risk, investing in AI infrastructure like data centers as a safer strategy, alongside riskier large language model companies.
- Experts predict a wave of mergers in the AI industry, particularly among unprofitable startups and "neoclouds" offering GPU-as-a-service, as companies struggle to show real returns on investment.
- Stony Brook University joined the Empire AI SUNY Campus Partnerships on February 3, 2026, gaining access to the Empire AI supercomputer for student and faculty research, and launching an "AI Innovation and Diffusion" program.
- Investnous introduced a new AI investment intelligence platform, featuring NousAI, Stock Trends, and Curated Lists, to provide real-time insights for individual investors, traders, and financial professionals.
- Israel and Azerbaijan signed an AI partnership agreement in Jerusalem on February 3, 2026, focusing on supercomputing, civilian AI applications, human talent development, and joint research.
- Effective AI integration requires employees to develop product management skills, such as identifying valuable problems and testing solutions, rather than solely focusing on prompt engineering.
Doctronic AI renews prescriptions without doctors in Utah
On February 3, 2026, a startup called Doctronic announced it used AI to renew prescriptions in Utah. This system works without a human clinician. Health Tech Correspondent Mario Aguilar is questioning if the FDA should review this AI as a medical device. Doctronic claims it is "the practice of medicine" and thus exempt from FDA authority.
Utah approves AI to renew prescriptions Doctronic system raises FDA questions
On February 3, 2026, a startup named Doctronic launched an AI system in Utah to renew about 200 common medications. Utah regulators approved this system in January. The AI performs clinical evaluations and renews prescriptions without human clinicians. Experts are now debating if the Food and Drug Administration should approve such AI products as medical devices.
Boost AI use by improving product management skills
To truly use AI effectively, companies need more than just prompt engineering skills. Employees should learn product management skills to apply AI in their daily tasks. This involves finding valuable problems in workflows, testing solutions quickly, and making new AI practices a regular part of work. These skills help integrate generative AI sustainably into day-to-day operations.
AI will greatly increase sports team values says Arctos Partner
On February 3, 2026, Ian Charles, managing partner at Arctos Partners, stated that AI will boost sports team valuations. He believes live sports content will become even more valuable as AI creates more online content. Arctos Partners, with $15 billion in assets, is the only private equity firm allowed to own stakes in all five major North American leagues. Charles noted that sports teams have generally outperformed public stocks over the past decade.
AI investment boom will lead to many company mergers
On February 3, 2026, experts predict a big wave of mergers in the AI industry. Bill Major from FiberLight and consultants from AlixPartners say that many AI companies are not yet making profits. Smaller AI startups and "neoclouds" that offer GPU-as-a-service will likely be the first to combine or fail. These neoclouds face high costs and use specialized chips that quickly lose value. Companies need to show real returns on investment to survive in this fast-growing market.
Stony Brook joins Empire AI to boost student research
On February 3, 2026, Stony Brook University joined the Empire AI SUNY Campus Partnerships. This move will use the Empire AI supercomputer at SUNY Buffalo to give students and faculty more access to AI for research and learning. New York Governor Kathy Hochul announced these partnerships on January 30. Stony Brook will work with Farmingdale State College and Suffolk County Community College on an eight-week research program called "AI Innovation and Diffusion." Lav Varshney, director of Stony Brook's AI3, stated this program aims to strengthen the economy by driving AI innovation and building a skilled workforce.
Investnous launches new AI financial intelligence platform
Investnous recently launched its new AI investment intelligence platform. This tool helps individual investors, active traders, and financial professionals get real-time insights and make data-driven decisions. The platform uses a constantly learning AI engine to process market data, find trends, and create useful information. Key features include NousAI for decision-making, Stock Trends for comparing stocks, and Curated Lists of top performers. Investnous offers Basic, Standard, and Premium plans, and plans to launch a mobile app and expand data sources in 2026-2027.
Israel and Azerbaijan sign AI partnership agreement
On February 3, 2026, Israel and Azerbaijan signed a memorandum of understanding on artificial intelligence in Jerusalem. General Erez Eskel from Israel's National AI Directorate and Rashad Nabiyev, Azerbaijan's Digital Development and Transport Minister, signed the agreement. Prime Minister Benjamin Netanyahu was present for the signing. This partnership aims to deepen their alliance by focusing on supercomputing, using AI in important civilian areas, developing human talent, and conducting joint research.
AI drug discovery market to reach 8.10 billion by 2030
On February 3, 2026, new data from Astute Analytica shows the global AI in drug discovery market is growing quickly. Experts expect this market to reach USD 8.10 billion by 2030, growing 25% each year from 2023. This growth is happening because AI helps lower the high costs and long times of traditional drug research. AI algorithms can look at huge amounts of data, find possible new drugs, predict how well they work, and make clinical trials better.
Blackstone executive sees AI disruption as major risk
On February 3, 2026, Stephen Gray from Blackstone stated that the risk of AI disrupting businesses is a top concern for the firm. Blackstone manages $1.27 trillion in assets across many sectors. While some businesses like sandwich shops are less affected, others such as insurance companies face big changes due to AI. Gray mentioned that Blackstone invests in AI infrastructure like data centers, calling it the safest way to play the AI trend. They also invest in large language model companies and other AI software firms, though he noted these are riskier.
Sources
- AI doctors are coming. Should FDA make sure they're safe?
- AI could soon renew prescriptions without clinician help. Should the FDA make sure it's safe?
- To Drive AI Adoption, Build Your Team’s Product Management Skills
- AI will supercharge sports team valuations, says Arctos Partners’ Charles
- Frenzied investment in AI is headed toward mass consolidation
- Stony Brook Joins Empire AI SUNY Campus Partnerships
- Investnous Launches AI Powered Financial Intelligence Platform to Help Investors Navigate Markets With Greater Clarity and Precision
- Israel and Azerbaijan sign artificial intelligence MOU in Jerusalem
- AI in Drug Discovery Market to Reach US$ 8.10 Billion by 2030 as AI Transforms Pharmaceutical R&D Efficiency
- Blackstone's Gray says AI disruption risk is 'top of the page' for us
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