Artificial intelligence is rapidly reshaping various industries, from finance to publishing, despite a general slowdown in the U.S. job market. In trading, AI analyzes vast amounts of market data much faster than humans, improving pattern recognition, risk management, and backtesting. It calculates real-time risk probabilities and dynamically adjusts exposure, even in complex fixed income markets where machine learning and large language models automate decision-making and labor-intensive tasks. Tradeweb's Izzy Conlin notes AI optimizes dealer selection and streamlines execution in bond trading.
While AI offers significant advantages in finance, such as enhancing pre-trade analytics and forecasting short-term price movements, challenges persist. AI backtesting can lead to overfitting, and buy-side firms face hurdles with fragmented data, as 63% lack unified data across trading processes. Despite these issues, 58% of firms are combining technology platforms to adapt, with 66% expecting the most value from predictive analytics and forecasting in the next two years.
The U.S. labor market shows a bright spot in AI-related hiring amidst overall weakness. Indeed's AI Tracker reported that 4.2% of job postings included AI terms by December 2025, a surge of over 130% since February 2020. This growth, which includes keywords like ChatGPT, extends beyond tech into sectors like sales, accounting, banking, and marketing, indicating broad employer interest in AI capabilities, as noted by Indeed economist Cory Stahle.
Businesses are quickly adopting agentic AI, which makes autonomous real-world decisions. A PYMNTS survey revealed a sevenfold jump in companies using or piloting agentic AI between August and November, with nearly one in four Chief Product Officers testing or fully implementing it. Technology companies lead this adoption, and major players like Kroger, Uber, BMW, JPMorgan Chase, and Capital One are already leveraging agentic AI for various tasks, with JPMorgan Chase envisioning a fully AI-connected enterprise.
Specific tech giants are navigating AI integration with varied strategies. Adobe is developing "IP-safe" generative AI models tailored for the entertainment industry, partnering with directors and talent agencies. Apple's software chief, Craig Federighi, emphasizes a cautious approach to AI, prioritizing user experience, privacy, and security, though the company expects to announce new AI features, including Siri improvements, at its Worldwide Developers Conference in June, aided by a recent deal with Google for access to its AI models. Meanwhile, Salesforce CEO Marc Benioff has voiced concerns, calling some AI models "dangerous."
Beyond finance and enterprise, AI is also bolstering cybersecurity, with 73% of CISOs considering AI-enabled security solutions for malware and threat detection, despite warnings about potential pitfalls like AI hallucinations. Publishers like Forbes and The Washington Post are also integrating AI to personalize reader experiences, with expectations that AI will transform publisher websites and adapt content based on user data by 2026. In other developments, Aliisa Rosenthal, formerly OpenAI's sales chief, has transitioned into venture capital.
Key Takeaways
- AI is transforming modern trading by analyzing market data faster, improving risk management, and enhancing execution in fixed income markets.
- Agentic AI tools, capable of autonomous decision-making, are seeing rapid business adoption, with a sevenfold increase in companies piloting or using them between August and November.
- Despite a weak overall U.S. job market, AI-related job postings surged over 130% since February 2020, with 4.2% of all postings including AI terms by December 2025.
- CISOs are increasingly embracing AI for cybersecurity, with 73% considering AI-enabled solutions for malware and threat detection, though concerns about AI hallucinations exist.
- Adobe is developing "IP-safe" generative AI models specifically for the entertainment industry, partnering with key industry players.
- Apple is taking a cautious approach to AI integration, prioritizing user experience and privacy, but will access Google's AI models to accelerate development and plans new features for June.
- Salesforce CEO Marc Benioff has publicly warned about the potential dangers of some AI models.
- Buy-side firms face significant data hurdles for AI adoption, with 63% lacking unified data, despite 66% expecting high value from predictive analytics.
- Publishers like Forbes and The Washington Post are integrating AI to personalize reader experiences and are expected to transform websites by 2026 with features like AI chatbots and tailored content.
- OpenAI's former sales chief, Aliisa Rosenthal, has moved into venture capital.
AI changes trading with data driven decisions
Artificial intelligence now analyzes vast amounts of market data much faster than humans, transforming modern trading. It significantly improves pattern recognition, risk management, and backtesting processes. AI calculates risk probabilities in real time, dynamically adjusting exposure, which sometimes goes against human instincts. However, AI backtesting can lead to overfitting, where strategies look good historically but fail in live trading. While AI removes human emotions like fear and greed, it might miss signals from human psychology and crowd behavior. Retail traders now have access to advanced AI tools like Edge Hound, making markets more competitive.
AI boosts credit traders with faster bond insights
Artificial intelligence is improving bond trading by speeding up workflows and providing deeper insights. Machine learning and large language models automate decision making, risk taking, and labor-intensive tasks in fixed income markets. AI transforms pre-trade analytics, helping traders get actionable insights from massive datasets faster than ever before. It also enhances execution by dynamically adjusting trading strategies based on real-time market conditions and dealer behavior. Agentic AI tools can create alerts, build new trading strategies, and generate code, significantly increasing individual traders' capacity. Credit trading desks are now using AI as a powerful resource to multiply their abilities and optimize operations.
AI empowers credit traders with advanced tools
Artificial intelligence is making bond trading workflows faster and more in-depth than before. Machine learning and large language models automate decisions and tasks in complex fixed income markets. Izzy Conlin from Tradeweb notes that AI helps optimize dealer selection and streamline execution, especially in portfolio trading. AI improves pre-trade analytics by processing vast data and forecasting short-term price movements. It also enhances execution by dynamically adjusting trading strategies and routing orders efficiently. Trading platforms use AI for better data, analytics, and reporting, creating a comprehensive view of the trading ecosystem.
AI jobs grow as US hiring slows down
The US labor market shows weak overall hiring, but jobs mentioning AI are rapidly increasing. The Indeed AI Tracker reported that 4.2% of job postings included AI-related terms in December 2025. Since February 2020, AI job postings surged over 130%, while total job postings only rose 6%. This trend is seen across many knowledge work occupations, with 45% of data and analytics jobs mentioning AI. After ChatGPT's release, AI job postings diverged from general hiring trends, especially in tech roles. Employers are focusing their limited hiring on roles and skills tied to artificial intelligence.
AI jobs offer a bright spot in slow market
AI is a surprising bright spot in an otherwise slow job market, especially for white-collar professionals. Indeed's data shows job postings mentioning AI keywords like ChatGPT increased by 134% since February 2020. By the end of 2025, about 4.2% or 1 in 25 job listings referenced AI. This growth is happening across all job sectors, not just tech, including sales, accounting, banking, and marketing. Cory Stahle, an economist at Indeed's Hiring Lab, notes that employers are interested in what AI can do, even if they do not fully know how to use it. The overall job market slowdown is linked more to Federal Reserve interest rate hikes in 2022 and 2023 than to AI.
CISOs embrace AI for stronger cybersecurity
A new report from Foundry shows 73% of CISOs are more likely to consider AI-enabled security solutions to boost cyber defense. Security executives plan to leverage AI for various functions, including malware detection, threat detection, and automating security responses. Experts warn about potential pitfalls such as AI hallucinations, over-reliance on the technology, and governance gaps. AI helps security teams by sifting large volumes of activity, highlighting meaningful patterns, and shortening investigation times. However, experts advise checking vendor claims, as some
Salesforce CEO Benioff warns AI models are dangerous
Salesforce CEO Marc Benioff spoke at Davos, calling some AI models
Businesses quickly adopt agentic AI tools
After months of caution, businesses are quickly adopting agentic AI, which makes real-world decisions autonomously. A PYMNTS survey shows that between August and November, the number of companies using or piloting agentic AI jumped sevenfold. By November, nearly 1 in 4 Chief Product Officers were either testing or fully using agentic AI in their operations. Adoption is rising across all sectors, with technology companies leading at 31% piloting or using AI agents. Companies like Kroger, Uber, BMW, JPMorgan Chase, and Capital One are already using agentic AI for various tasks. JPMorgan Chase's Chief Data Analytics Officer, Derek Waldron, envisions the company becoming a fully AI-connected enterprise.
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Apple's Federighi takes careful AI approach
Apple's software chief, Craig Federighi, is guiding a cautious approach to AI integration at the company. He emphasizes practical AI applications that seamlessly fit into Apple products, prioritizing user experience. Apple's focus on privacy and security contributes to its slower, more deliberate rollout of AI features compared to rivals. The company expects to announce new AI features, including Siri improvements, at its Worldwide Developers Conference in June. A recent deal with Google will give Apple access to Google's AI models, helping speed up development. Federighi's balanced strategy aims to combine innovation with responsible AI development despite potential privacy concerns from the Google deal.
Buy-side firms face data hurdles for AI
Buy-side firms want to use AI in financial markets, but fragmented data creates major challenges. A study found 63% of firms lack unified data across their trading processes, hindering AI adoption. Joe Morant from Alpha FMC notes that siloed systems and manual reconciliation lead to operational complexities. Despite these issues, 58% of firms are combining technology platforms to adapt to AI innovation. Most respondents, 66%, expect the most value from AI in predictive analytics and forecasting over the next two years. Experts like Tanguy de Grandpré from SimCorp emphasize that good data quality is crucial for reliable AI predictions.
AI to transform publisher websites by 2026
Artificial intelligence is expected to completely change publishers' websites and reader experiences by 2026. Publishers like Forbes, Newsweek, Time, and The Washington Post are already adding AI tools for personalization. Mike Dyer from The Washington Post believes AI will balance editorial viewpoints with reader preferences. AI chatbots, summaries, and tailored vertical videos will adapt content based on user data like location and reading history. Nina Gould from Forbes agrees that traditional homepages will soon feel
OpenAI's sales chief moves to venture capital
Aliisa Rosenthal, who previously led sales at OpenAI, is now moving into venture capital. She continues to call herself an
Sources
- From Data to Decisions: Leveraging AI in Modern Trading
- AI is giving credit traders extra digits
- AI is giving credit traders extra digits
- January 2026 US Labor Market Update: Jobs Mentioning AI Are Growing Amid Broader Hiring Weakness
- The labor market's surprising bright spot – and how to turn it into a job
- 73% of CISOs more likely to consider AI-enabled security solution
- Salesforce CEO Marc Benioff calls out AI models as 'suicide coaches'
- Enterprises Rapidly Adopt Agentic AI After Months of Caution
- Adobe is developing “IP-safe” gen AI models for the entertainment industry
- With Google Deal, Apple’s Craig Federighi Plots a Cautious Course in AI
- Buy-side increasingly looking to integrate AI but hurdles remain, with 63% of firms lacking unified data across trading processes
- Bold Call: AI will rewrite publishers’ websites in 2026
- OpenAI’s former head of sales is entering VC. She still calls herself an ‘AGI sherpa’
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