The increasing influence of Artificial Intelligence (AI) is having a profound impact across various sectors. In the realm of hybrid cloud security, AI-generated threats are on the rise, with breach rates surging to 55% in the past year, prompting 46% of security and IT leaders to prioritize managing these threats. Meanwhile, in healthcare, Singapore is exploring the potential of agentic AI to automate tasks and improve patient care. AI is also being utilized in other areas, such as safety, with Caltrain installing an AI system to detect potential hazards on train tracks. Furthermore, AI is transforming the investment landscape, with firms like QuantumLight using algorithmic investing to make data-driven decisions. However, the growing presence of AI also poses significant threats to entry-level jobs, with millions of students facing disruption in the job market. On the other hand, AI-driven product suites are enhancing customer experience in industries like telecommunications. Additionally, researchers have developed an AI system that can track 3D printed parts to specific machines, and automakers are leveraging AI to offset tariff costs. Amidst these developments, the AI company Builder.ai is facing legal scrutiny, with US prosecutors demanding financial statements and other documents.
Key Takeaways
- AI-generated threats are increasing in scale and sophistication, with breach rates surging to 55% in the past year.
- 46% of security and IT leaders prioritize managing AI-generated threats as their top security concern.
- Singapore is exploring the potential of agentic AI in healthcare to automate tasks and improve patient care.
- Caltrain has installed an AI system to detect potential hazards on train tracks, enhancing safety measures.
- AI is transforming the investment landscape, with firms using algorithmic investing to make data-driven decisions.
- AI poses a significant threat to entry-level jobs, with millions of students facing disruption in the job market.
- AI-driven product suites are enhancing customer experience in industries like telecommunications.
- Researchers have developed an AI system that can track 3D printed parts to specific machines.
- Automakers are leveraging AI to offset tariff costs and increase efficiency.
- Builder.ai is facing legal scrutiny, with US prosecutors demanding financial statements and other documents.
AI Challenges Hybrid Cloud Security
According to Gigamon, hybrid cloud infrastructure is under strain due to the growing influence of AI. Cyberthreats are increasing in scale and sophistication, with breach rates surging to 55% in the past year. Security and IT teams are being pushed to a breaking point, with the economic cost of cybercrime estimated at $3 trillion worldwide. AI-generated attacks are a key driver of this growth, and 46% of security and IT leaders say managing AI-generated threats is their top security priority. The lack of clean, high-quality data and comprehensive insight and visibility across environments are major challenges. As a result, 70% of security and IT leaders view the public cloud as a greater risk than any other environment, and 54% are reluctant to use AI in public cloud environments due to fears around intellectual property protection.
AI Workloads Expose Hybrid Cloud Security Cracks
The 2025 Hybrid Cloud Security Survey reveals that leaders are rethinking risk, visibility, and control in an era where cloud complexity and AI threats are accelerating simultaneously. The survey found that 46% of Security and IT leaders identified managing AI-generated threats as their top security priority. Most organizations reported that their network data volumes have more than doubled in the past two years due to AI. Moreover, 47% of organizations reported a rise in attacks targeting their LLM deployments. Breach rates have increased from 47% to 55% year-over-year, and 91% of Security and IT leaders admit to making compromises in securing hybrid cloud environments.
Singapore Explores Agentic AI in Healthcare
Singapore's national health tech agency, Synapxe, is set to announce new digital healthcare applications, solutions, and partnerships following significant government investment. The government has announced $150 million funding over five years to implement new AI technologies. Synapxe aims to promote the uptake of generative AI tools to automate repetitive and time-consuming tasks, such as documentation and summarization of medical records. The agency has launched a genAI learning repository and provides prompt templates for exploring and testing genAI applications at scale. Singapore is also exploring the potential application of agentic AI in healthcare, which has the potential to revolutionize healthcare by performing tasks autonomously with decision-making capabilities and goal-directed behavior.
Caltrain Installs AI Tech for Safety
Caltrain has installed an AI technology system at its Palo Alto station to help keep people and vehicles away from trains. The system, called Railsentry, uses a combination of laser sensing tech and two high-definition cameras to determine if people or objects are not where they are supposed to be. The system provides operators with real-time information about what is on the tracks, from dogs to backpacks to cars. Once an operator knows what's on the track, they react quickly to slow down the trains. The system has already reported incidents on a daily basis, finding people in areas they're not supposed to be.
Algorithmic Investing Replaces Human Intuition
QuantumLight, a VC firm, is using AI to eliminate human judgment from the investment process. The firm has built its own proprietary model to track 700,000 VC-backed companies and analyze 10 billion data points. QuantumLight's CEO, Ilya Kondrashov, believes that machines are able to make better investment decisions than humans, as they are not swayed by emotion or fear of missing out on a certain hyped deal. The firm has invested $80 million to date and is doing deals at a rate of one a month. However, experts warn that imperfections in the data sets could be a limitation, and that AI is not a panacea for investing.
AI Threatens Entry-Level Jobs
According to LinkedIn's chief economic opportunity officer, Aneesh Raman, AI poses a significant threat to millions of students who are getting ready to graduate this year. Raman likened the situation to the decline of the manufacturing sector in the 1980s, which saw a steep fall. Office workers are now facing similar technological and economic disruption, and the bottom rung of the career ladder, which is the entry-level employees, will be the first to break. Raman wrote that artificial intelligence poses a real threat to a number of entry-level jobs that serve as the stepping stone for Gen Z workers to launch their careers.
AI-Driven Product Suites Enhance Customer Experience
Olgay Taş, VP of Product Development at Etiya, discusses the impact of AI-driven product suites on agent efficiency and customer experience. Taş explains that telcos are shifting towards enablement solutions rather than just relying on standalone product offerings. AI-driven product suites can optimize or reduce the biggest cost drivers in sales and support operations while maintaining high-quality service. Businesses can leverage customer data to personalize interactions and drive loyalty through AI-driven sales and customer service solutions.
AI Tracks 3D Printed Parts to Specific Machine
Researchers have developed an AI-driven system that can pinpoint the specific machine that made a 3D printed part. The system uses a combination of laser sensing tech and high-definition cameras to determine the unique signature or fingerprint of the machine. The researchers found that they can print the same part design on two identical machines and each machine leaves a unique fingerprint that the AI model can trace back to the machine. This technology has implications for manufacturing, quality, and trust, and could be used for managing supply chains and detecting early problems.
Automakers Use AI to Offset Tariff Costs
Automakers are rapidly adopting AI to combat mounting financial pressures caused by shifting U.S. trade policies and resulting tariffs. General Motors expects up to $5 billion in tariff-related costs in 2025, while Toyota forecasts a 21% decline in net income due to levies. Ford anticipates tariffs will reduce its gross profit by approximately $2.5 billion this year. In response, major automakers are deploying AI, automation, and advanced data analytics to increase efficiency, reduce costs, and sustain operations amid economic uncertainty.
US Prosecutors Investigate Builder.ai
US prosecutors have demanded that Builder.ai hand over financial statements and other documents, signaling that the artificial intelligence company is facing legal scrutiny. The request follows reports about the London-based company's change of leadership and financial issues. Builder.ai's General Counsel Adi Vinyarsh told employees to preserve documents after the US Attorney's Office for the Southern District of New York requested information, including accounting policies and a list of customers.
Sources
- AI forces security leaders to rethink hybrid cloud strategies
- Rising AI Workloads Expose Cracks in Hybrid Cloud Security
- Singapore looks at applying agentic AI in healthcare
- Caltrain installs AI tech at Palo Alto station to improve safety
- Forget human intuition. Algorithmic investing is all about the data
- AI a ‘real threat’ to entry level jobs; GenZ workers in danger? Here's what LinkedIn executive says
- The Future Is Integrated: Smarter CX through AI-Driven Product Suites
- AI can track 3D printed parts back to specific machine that made them
- Automakers turn to AI to offset billions in tariff costs amid economic uncertainty
- US Prosecutors Sought Builder.ai Data After Sales Overstated