Press

AI-related job postings at major banks surged 49% this year to nearly 140,000. Demand for agent orchestration skills exploded 1,721%, pushing median pay for generative AI managers near $190,000. Banks now seek forward-deployed engineers who embed these systems into trading, compliance and operations while building strong governance layers. The hiring wave reveals how Wall Street is reshaping its workforce before the technology fully reshapes its headcount.

Anthropic is committing $100 million to train 10,000 engineers by the end of 2027 as it looks to bridge the gap between increasingly powerful AI tools and a shortage of people who can turn them into production-ready systems.

China has reportedly closed almost 25% of its banks amid increased oversight of smaller lenders. The world’s second largest economy shuttered a record 670-plus banks in 2025, the Financial Times (FT) reported Saturday (Oct. 3), citing figures from China’s National Financial Regulatory Administration.

AI-related job postings at major banks including JPMorgan $JPM 0.00% Chase, Citigroup $C +0.04%, and Capital One $COF +0.22% surged 49% this year compared with 2025, totaling 139,819 listings, based on data from enterprise hiring analytics firm Draup that was shared with CNBC.

“This is arguably the hottest skill on Wall Street,” Draup CEO Vijay Swaminathan said in an interview. “It’s a massive opportunity. They need people who understand data and people who understand AI and where to put it.”

The AI race is being measured the wrong way. We obsess over whose model is smartest, who has the most GPUs, and which company or country is ahead in the latest benchmark. But our recent report with Draup, The AI Sovereignty Paradox, points to a more consequential divide: the gap between those who can deploy AI at scale and those who cannot That deployment gap may become one of the defining economic challenges of the Intelligence Age.

The global race for artificial intelligence sovereignty has forced nations to treat the technology as a strict zero-sum game of computer ownership and chip hoarding. A groundbreaking report from Draup and the Ethical AI Governance Group (EAIGG) challenges this mindset by revealing that workforce readiness and international connectivity matter far more than total technological control.

A new report reveals an "Execution Premium" in the AI era, where top performers command significantly higher value for certain uniquely human skills. As AI automates routine technical tasks, employers increasingly seek professionals who can interpret AI output, challenge its conclusions and translate information into tangible business results. Companies must also adapt hiring strategies to prioritize these outcome-driving skills, ensuring they select talent capable of turning AI-generated output into actionable business outcomes.

For decades, an MBA was one of the clearest routes into elite consulting. As AI changes the work firms do for clients, the consulting industry is looking for people who can build technology as well as devise the corporate strategy around it.

For decades, an MBA was one of the clearest routes into elite consulting. As AI changes the work firms do for clients, the consulting industry is looking for people who can build technology as well as devise the corporate strategy around it.

"Our recruiting changed dramatically in the last few years. We recruit from places we haven't recruited before," Ben Ellencweig, who leads McKinsey's AI arm, QuantumBlack, told Business Insider. "Today many, many of our colleagues are coming from non-MBA backgrounds, and then technology too is kind of the next wave."

Released today by the Ethical AI Governance Group (EAIGG) and AI workforce transformation firm Draup, the report, titled The AI Sovereignty Paradox: Why AI Advantage Depends on Interdependence, reframes the global debate. It suggests that attempting to own every layer of the AI stack—from chips to frontier models—is a fool's errand in a deeply interconnected world. The real power, the research argues, lies in maintaining strategic optionality and mastering the art of deployment.

EAIGG and Draup Launch “The AI Sovereignty Paradox,” Introducing a New Framework for Understanding National AI Competitiveness Artificial IntelligenceHR TechnologyNews By PR Newswire On Sep 9, 2026 EAIGG and Draup Launch "The AI Sovereignty Paradox," Introducing a New Framework for Understanding National AI Competitiveness New report introduces the “AI Sovereignty Paradox,” arguing that long-term AI advantage depends on maintaining strategic control and choice while participating in global AI ecosystems. The Ethical AI Governance Group (EAIGG), in collaboration with Draup, announced the release of The AI Sovereignty Paradox: Why AI Advantage Depends on Interdependence, a new research report examining how nations build and sustain competitive AI ecosystems in an increasingly interconnected world.

“The skills drawing the biggest premiums aren’t tied to one model or platform,” says Vishnu Shankar, chief data officer at Draup. “They’re the skills involved in putting AI into production and keeping it there: MLOps, deployment and monitoring, data engineering and governance, model evaluation, security, and reliability.”

As AI reshapes work, hiring is no longer just an HR responsibility. Draup's Chief Data Officer, Vishnu Shankar, explains why workforce planning has become a financial strategy that reaches the boardroom

Draup, an AI-driven sales intelligence platform, now offers AI-native account research for its Microsoft Dynamics 365 Sales Qualification Agent. The Microsoft Dynamics 365 Sales Qualification Agent can eliminate busywork by automatically following up while also qualifying and delivering seller-researched leads as soon as a lead is created and qualified. With this latest update, Draup can now augment this research with in-depth, account-specific intelligence that’s delivered to the user automatically.

As routine tasks are automated, channel partners should move up the value stack toward architecture, security and governance, according to market data firm Draup.

Draup has announced that it now offers AI-native account research for the Microsoft Dynamics 365 Sales Qualification Agent.

Artificial intelligence has changed the conversation about work, but perhaps not in the way many expected. Rather than diminishing the importance of people, AI is making human capability more valuable than ever. For CHROs, this presents both a challenge and an opportunity. Success will depend less on adopting the latest technology and more on redesigning how organisations identify, develop and deploy talent.

Vishnu Shankar, Chief Data Officer at Draup explains to Digital Journal about how HR leaders can better identify which technical skills are likely to remain durable going forward as AI adoption accelerates, and which are becoming more exposed to automation.

In this episode of UC Today, Kristian McCann sits down with Vishnu Shankar, Chief Data Officer at Draup, to explore why hiring, workforce planning, and skills strategy have moved beyond HR and into the CFO's office.

A recent analysis by the labor and market data platform Draup found that while AI is transforming technical roles, it isn't reducing overall demand for tech workers. The report, based on 2.85 million job descriptions from June 2025 to June 2026, comes after years of layoffs across the industry, with some companies pitching AI as a way to do more with fewer people.

Roles evolve toward higher-order thinking. Collaboration. Systems judgment. Architecture. Employers now list familiarity with tools like GitHub Copilot, Cursor and Claude in more than 60,000 job descriptions analyzed by Draup.

A recent analysis by labor market data platform Draup suggests that while artificial intelligence is transforming technical roles, it is not reducing the demand for IT professionals.

A recent analysis by the labor and market data platform Draup found that while AI is changing technical roles, it isn't reducing demand for tech workers.

A recent analysis by the labor and market data platform Draup found that while AI is changing technical roles, it isn't reducing demand for tech workers.

Automation is eliminating roles faster than workers can retrain. And the competition for high-demand talent is now global and permanent.

Vishnu Shankar, chief data officer at Draup, shared data from The Polycentric Tech Workforce showing that 40% of IT skills face partial obsolescence by 2027, concentrated in areas where entry- and mid-level work sits.

“The shift from 5% to 9% reflects something real happening inside organizations, and AI transformation is the primary driver,” Vishnu Shankar, chief data officer at Draup

Data from the World Economic Forum and IMF suggest net job creation and wage increases for skilled workers, with no clear link between AI exposure and unemployment, according to Vishnu Shankar, Chief Data Officer at Draup in an interview with Digital Journal.

A new category of tools has emerged, purpose-built with AI at their core for specific use cases like competitive intelligence (Draup), personalization (1Mind), content operations (AirOps), or video creation (Higgsfield).

Open roles still outnumber qualified talent. That gap is projected to persist through at least 2028, even as automation and tooling accelerate, according to Vijay Swaminathan, CEO of a workforce planning company Draup

A report from Draup analyzing Fortune 500 job postings shows how enterprise hiring patterns are evolving as organizations move from AI experimentation to operational adoption.

The core structural shift highlighted involves a skills convergence and expanded role definition across technology and business functions. Draup’s Global Tech Talent Report and commentary by Vijay Swaminathan underscore the rising complexity and blending of job expectations, particularly as artificial intelligence (AI) and automation penetrate workflows. Companies are reorganizing hiring strategies and role definitions, prioritizing adaptable expertise over traditional IT job titles, and emphasizing domain specialization. Service providers are observing a move from specialized roles toward hybrid positions that demand broader understanding of business operations, compliance, security, and AI.

Draup's Global Tech Talent Report and commentary by Vijay Swaminathan underscore the rising complexity and blending of job expectations, particularly as artificial intelligence (AI) and automation penetrate workflows.

Enterprises are spending more on AI than ever, treating it as a non-negotiable line item in every strategic plan. That spending is adding up fast, with global enterprise AI investment having crossed $400 billion. And yet, fewer than 10% of enterprises report measurable ROI, according to Draup.

As organizations are beginning to increasingly deploy AI in their systems, data becomes the foundation, said Vishnu Shankar, VP of platform for the AI-powered talent intelligence company Draup. That's the reality: The AI is only as intelligent as the data that it relies on.

Adoption efforts kicked off in previous years are coming under the microscope, as leaders are expected to show how their investments have performed.

Data and AI literacy have emerged as critical skills in the enterprise as the value of investments comes into focus, according to a DataCamp report.

AI know-how as a job requirement increased by nearly 25% for customer support roles, with similar increases in sales and financial operations, according to a Draup report published last month.

Now, hiring data is beginning to reflect the broader effects of automation as companies shift their skills priorities. Fortune 500 job postings for finance roles in what Draup identifies as having “high AI augmentation potential” fell 40% from last year, compared with more modest single-digit declines in roles with less AI exposure.

Keeping tabs on all the most relevant artificial intelligence news can be a time-consuming task. As a result, our editorial team aims to provide a summary of the top headlines from the last week in this space. Solutions Review editors will curate vendor product news, mergers and acquisitions, venture capital funding, talent acquisition, and other noteworthy artificial intelligence news items.

Hiring across the board at Fortune 500 companies has been roiled by the technology, as highlighted in a new report from labor and market data company Draup

With enterprise AI integration underway, leaders at top enterprises are focusing on execution rather than hierarchy when designing new models for work, said Vijay Swaminathan, CEO and co-founder of Draup.

In this episode of The Future of Less Work, host Nirit Cohen sits down with Vijay Swaminathan, co-founder and CEO of Draup, to explore what really breaks when AI meets industrial-age assumptions about jobs, roles, and headcount.

Now, hiring data is beginning to reflect the broader effects of automation as companies shift their skills priorities. Fortune 500 job postings for finance roles in what Draup identifies as having "high AI augmentation potential" fell 40% from last year, compared with more modest single-digit declines in roles with less AI exposure.

AI skill demand in software jobs has surged 50% in two years, (Draup research) making external supply far too thin to rely on

Millennials and Gen Z can create a perfect partnership to usher the world into the age of AI. After all, millennials were the first generation to grow up with home computers and internet access. As a result, Gen Z spent their childhood surrounded by Wi-Fi, smartphones and social media. For most of the past 30 years, IT teams have been able to adapt to all these changing technologies. Yet, with the advancements of cloud and AI, many are starting to fall behind.

A study from agentic intelligence company Draup found that internal candidates are 50% more likely than external hires to stay beyond 18 months in a new role — and that companies that don't reskill pay a 25-30% premium to replace midcareer engineers.

According to Draup's analysts, AI is actually driving job growth, with 78 million roles related to AI and cyber security expected to be added to the workforce this decade.

AI-generated outputs influence decisions, accountability, and client understanding—often without clear acknowledgment of what context or nuance was lost.

Vijay and Bob discuss building trusted, AI-powered talent intelligence platforms that bridge data complexity and business decision-making, and how human-centric, explainable AI is reshaping strategic workforce planning. They cover the growing importance of verification skills, ethical AI practices, the future of people analytics, the architecture of trusted and explainable AI systems, and the evolving role of humans and agents in enterprise workflows.

Draup's analysts have determined that artificial intelligence (AI) is catalyzing job creation, projecting that 78 million positions associated with AI and cybersecurity will be introduced to the labor market within this decade.

The Economics of Skills: An Analysis of Global Tech Talent report analyzes these developments, leveraging Draup’s extensive global workforce data.

According to Draup's analysts, AI is actually driving job growth, with 78 million roles related to AI and cyber security expected to be added to the workforce this decade.

If you hear "40% of skills becoming obsolete" and your reaction is to accelerate automation to protect margins, you are walking into a governance trap.

We're not seeing tech jobs disappear outright, but the way work gets done is certainly changing, Vishnu Shankar, VP of data and platform at Draup,

A recent report from the tech talent firm Draup indicates that by 2027, more than 40% of IT skills may become partially obsolete due to the rapid adoption of artificial intelligence within IT departments.

Draup announced that its real-time workforce and labor market data is now accessible through the Model Context Protocol (MCP), enabling LLM-based assistants to pull live skills, roles, and market insights directly into AI workflows. Through this integration, enterprises can connect their AI ecosystems to Draup's workforce intelligence through a simple, standards-based MCP configuration without custom APIs or manual data pipelines.

Draup, a global leader in enterprise talent intelligence, today announced that its real-time workforce and labor market data is now accessible through the Model Context Protocol (MCP), enabling LLM-based assistants to pull live skills, roles and market insights directly into AI workflows. Through this integration, enterprises can connect their AI ecosystems to Draup's workforce intelligence through a simple, standards-based MCP configuration without custom APIs or manual data pipelines.

Draup, a global leader in enterprise talent intelligence, today announced that its real-time workforce and labor market data is now accessible through the Model Context Protocol (MCP)

Draup CEO Vijay Swaminathan agrees. He told IT Brew that internal and external job postings that each have different wording and skills can become tangled.

Draup co-founder and CCO Vamsee Tirukkala and his colleagues at the data intelligence platform are betting on the hypothesis that CIOs and IT pros will deliver on the technology, and HR's role managing the workforce won't disappear anytime soon. But who oversees the "work"?

Draup announced the availability of its datasets on the Databricks Marketplace. Through Delta Sharing, enterprises can bring 28 curated Draup datasets covering market and talent intelligence directly into the Databricks Data Intelligence Platform, making workforce planning faster and easier with the most up-to-date labor market and talent metrics.

Etter.ai is Draup's agentic talent intelligence platform designed to help enterprises manage their workforce before it impacts employees. It continuously monitors labor markets and current data to flag emerging skill gaps and make recommendations for reskilling or redeployment strategies.

The emerging picture as companies adopt more and more AI tools is an equation that balances the work that needs to be done, the workforce capable of doing that work, and the technology that enables the work to happen.

Draup provides multi-dimensional knowledge for sales and talent domains using machine learning & human curation. Co-founder Vamsee Tirukkala joins to talk about the company live from Las Vegas.

Draup enables customers to directly integrate its intelligence with their own enterprise data, without the friction of manual ingestion pipelines or file transfers

Draup provides multi-dimensional knowledge for sales and talent domains using machine learning & human curation. Co-founder Vamsee Tirukkala joins to talk about the company live from Las Vegas.

2025 may see as much as a 35% growth in tech hiring, as compared to the first half of the year.

Draup already supports more than 300 global enterprises, including five of the Fortune 10, with data spanning 1.5 million companies, 850 million professionals, 12,000 skills, and 4 million career paths.

With Draup, they've gone an order of magnitude beyond to build a data platform that identifies skills, technologies, competitors, labor market trends, and a myriad of financial and organizational data to help companies benchmark themselves, plan, hire, and prepare for AI transformation.

In the case of decision-making, that happens to be the integration of cutting-edge AI, ML, Data Science & Cloud technologies into one holistic platform –Draup.

Product and design teams at Draup, an AI-driven SaaS company, are working towards making the product experience convenient for the end-user.

Draup's Big Data team exemplifies the company's culture of employee ownership

Employees are the most valuable asset of an organisation, and AI-driven SaaS platform Draup understands this fully well

Draup, an AI-driven data-powered company, believes that its soul lies in technology and people around it who are leveraging big data and artificial intelligence to empower the decision-makers at the enterprises

With a population of just 12,000, Nemili got a chance to reinvent itself when the AI driven SaaS platform, Draup decided to set up a centre in the town in 2018 and tap into this unrecognised potential.

Draup, an AI-driven SaaS platform, staying ahead of the curve and championing the arena of enterprise decision-making, with its unique talent composition, has always been a priority

Draup, a growing AI based Talent and Sales Intelligence company, is building on this significance in a big way. A data science team is a link between data and wisdom, shares Vamsee Tirukkala, Co-Founder & Chief Commercial Officer, Draup

Draup, a data-driven platform, wanted to disrupt this industry and make management consulting shops practice what they were preaching by making AI and ML a foundational aspect of consulting.

Draup's expertise in Big Data is what sets them apart. They analyse above 600 million profiles, more than 100 million job descriptions, above 1 million digital intentions and 1 million companies across the globe, daily through AI and ML models

Draup works with cutting-edge technologies to innovate and assist their clients with accurate insights on both sales and talent intelligence.

Vijay Swaminathan and Vamsee Tirukkala recognised this opportunity in the market and in 2017, decided to launch Draup, an AI-driven enterprise decision making SaaS platform.