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  • Human Skills-Centered Liberal Arts Education Can Help Institutions In Decline, Says ‘Deloitte 2026 Trends’ Report

    Human Skills-Centered Liberal Arts Education Can Help Institutions In Decline, Says ‘Deloitte 2026 Trends’ Report

    IBL News | Washington, D.C.

    The U.S. higher education system faces intense financial pressure from all sides as international and graduate enrollment declines, funding is cut, student loans are capped, AI advances, public confidence weakens, and policymakers and new regulations question the sector’s business model and ROI.

    “Institutions can play a critical role in preparing the next generation with the skills needed for a rapidly changing world,” said Cole Clark, Managing Director at the Higher Education sector in Deloitte Services, when presenting the 2026 Higher Education Trends report during the ACE Experience conference hosted last week in Washington, DC. “Consider a future with fewer but stronger US colleges as more institutions choose to merge or form strategic partnerships,” he added.

    The analysis portended the renewed importance of building adaptable, human-centered capabilities within liberal arts education, highlighting the need for higher education to re-establish itself as an engine of upward mobility. In this regard, AI will underscore the enduring importance of fundamentally human skills—communication, judgment, and teamwork, said Deloitte.

    “Institutions have an opportunity to chart a more sustainable path forward by reconciling two realities: Students overwhelmingly seek degrees that lead to meaningful employment, and employers need graduates who not only have immediate skills but also the agility to adapt as work continues to evolve—especially under the influence of AI.”

    Deloitte’s Center for Higher Education Excellence convened college and university presidents in November 2025 at Deloitte University in Westlake, Texas. After institutional leaders shared successes and lessons learned to drive change, the consultancy company described and prioritized the 2026 trends.

     

    • Trend 1: Erosion of the revenue model for higher education

    In some cases, the reductions have been substantial: The University of Southern California laid off more than 900 employees; Stanford University cut 363; and Northwestern University laid off 424, amounting to about 5% of its workforce.

    The Institute of International Education reported a 17% drop in new international student graduate enrollments this past fall.

    In 2024, more than half of private universities rated by S&P Global posted operating deficits, up from the year before, and early 2025 results look even weaker. A recent analysis of 44 midsize universities with enrollments of between 1,000 and 8,000 students found a weak financial outlook, with many at risk of becoming insolvent in five to 10 years if enrollments fall by 1% to 3% per year over that period. The nation is projected to see a 13% decline in college enrollment from 2025 through 2041.

    “While more uncertainty and challenges may come, we are optimistic that creativity and openness to new models will enable us to meet the current moment and our future,” Boston University’s president, Melissa Gilliam, and provost, Gloria Waters, said in a letter to the community announcing a round of layoffs.

     

    Trend 2: Shifting the conversation from the ‘cost of college’ to the ‘value of a credential.’

    Data have long shown that people with college degrees earn a substantial earnings boost compared to those without one. The latest data from the Bureau of Labor Statistics show that workers age 25 and older earn 80% more per week than those with only a high school degree. While that’s true on average, the situation for individuals varies widely depending on a person’s major and other factors.

    Colleges now offer more credentials than ever; nearly 1.1 million credentials are offered in the United States. However, the vast majority of nondegree credentials don’t lead to higher paychecks, with only 12% of credentials delivering significant wage gains, according to the Burning Glass Institute.

    The July 2025 passage of H.R.1 may further encourage students to pursue non-degree credentials through a provision known as Workforce Pell, which stipulates that low-income students can use Pell grants to pay for credential programs as short as eight weeks. While details must be worked out before the program takes effect in July 2026, the change is expected to increase interest in nondegree credentials.

    A study released in November 2025 by the Massachusetts Institute of Technology found that nearly 12% of the U.S. workforce could be replaced by AI tools.

    Expanding internships and apprenticeship programs has also proven helpful in bridging the gap between college and work. Recent research by the Strada Education Foundation found that 73% of graduates who completed a paid internship landed a first job that required a degree, compared to 44% of those without an internship.

    The rise of AI may lead to a resurgence of interest in the humanities. Proponents of the humanities say that as AI tools reshape jobs, critical thinking, ethics, and judgment will become more highly valued, while the number of jobs in areas such as coding will shrink.


    • Trend 3: A reset for sponsored research
    .

    2025 was marked by an unprecedented change and a reduction of federal research dollars after decades of steady growth, including amendments to previously awarded grants, workforce reductions, and incentivized early retirements of thousands of workers at federal agencies that produced research and proposals to reduce future federal research funding.

    With funding reductions, many of the top research institutions have trimmed research budgets, frozen hiring, pulled back on PhD admissions, and reduced their workforce, actions that will likely have ripple effects.

    In 2026, philanthropic groups, especially big tech and pharmaceutical companies, have emerged as significant funders.

    However, federal research support is 10 times that of philanthropy, with US$50 billion from the federal government compared to US$5 billion from philanthropy as of 2021.

    Philanthropists such as Roy and Diana Vagelos made a historic donation to Columbia University in 2024 of US$400 million for basic biomedical research, and the Howard Hughes Medical Institute, which has a longstanding pledge to support college research in the biomedical sciences, has given out more than US$7 billion to researchers since 2004.

    As universities pursue grants from philanthropic and corporate sponsors, research may shift toward applied work rather than basic science.

    Meanwhile, other global powers are ramping up their efforts: The Chinese government increased research support by 10% in 2024. The European Union is debating plans to double the funding for its flagship research program, Horizon Europe, to more than US$200 billion between 2028 and 2034. If US colleges fail to find new models for research support, some experts worry about a brain drain of top science talent to other countries.

    Some leaders are betting on emerging AI tools to meet reporting requirements on grants more efficiently.

    Models in which principal investigators (PIs) are employed by both the university and industry are increasing in popularity—enabling PIs to draw a larger salary from the portion of their work conducting research for industry while continuing to support the mission of their institution for a lower pay rate.

    University leaders are treading carefully to preserve the integrity of scientific discovery, avoiding politicizing the selection of research topics, while also preserving the United States’ ability to lead in scientific exploration and innovation.


    • Trend 4: More colleges explore mergers and partnerships to preserve core missions amid demographic and financial pressures.

    Mergers, once seen as taboo, akin to admitting failure, but today college leaders are shifting, and higher education is entering a “consolidation era.” Merger success stories are starting to bubble up.

    Roughly 80 nonprofit colleges and universities have shuttered or merged in the past five years—not only reflecting an increase in activity, but also seeing a shift from for-profit closures to nonprofit closures, as well as the first instances of a public institution shuttering (not merging).

    Nearly 20% of college presidents said it was somewhat or very likely that their institution would merge or be acquired in the next five years.

    Antioch University and Otterbein University cofounded the Coalition for the Common Good in 2023, while maintaining distinct undergraduate brands and collaborating on graduate programs and shared services.

    Gannon University in Erie, Pennsylvania, is in the process of merging with Ursuline College near Cleveland. Even though the institutions are only about 100 miles apart, the fact that they are in different states is key, as state policies provide financial incentives for students to stay in-state when seeking financial aid. Both colleges say they are financially healthy for now, but see strengths and greater potential for enrollment growth by combining.

    Pomona College, a private liberal arts college with around 1,700 students, is reportedly in talks to acquire Claremont Graduate University, which has around 2,200 students.

     

    • Trend 5: A changing global higher education landscape necessitates strategic shifts by American universities.

    Many leaders from around the world have earned their degrees from US universities and colleges. The U.S. has long been the most desirable destination for higher education, one of America’s top exports, bringing in more revenue than natural gas and coal combined.

    Many American colleges and universities have come to depend on international students as a key revenue source. Students from abroad now make up about 6% of total enrollment at US colleges, or nearly 1.2 million students. At elite institutions, in particular, these students typically pay the full posted tuition rates, which often works out to two to three times what an average domestic student pays.

    New international enrollments have recently faltered, however, in part due to new restrictions and heightened scrutiny of student visas.

    The number of international students enrolling in American colleges fell by 17% in fall 2025, the first time in 10 years. This decline has been estimated to cost the US economy US$1.1 billion, according to an analysis by the National Association of Foreign Student Affairs and the Association of International Educators. The vast majority of colleges seeing a decline cite concerns about obtaining student visas as a key factor, with two-thirds of those colleges pointing to travel restrictions as a reason.

    Across all science and engineering fields, 47% of graduate students and 58% of postdocs are international. Many of these students intend to remain in the country after graduation to work in science and tech fields.

    Nearly a third of international students at American campuses come from India, which, in 2020, adopted a policy paving the way for more foreign campuses.

    Meanwhile, universities in Asia and Europe recently reported increases in new international student enrollment. If this trend continues, it could lead to a shift in higher ed enrollments from west to east.

    Online options may also expand, helping attract more international students. A recent survey of international student recruiters found a jump in interest from international students in seeking entirely online degrees from US colleges.

    More U.S. colleges may also choose to bring their educational offerings to other parts of the world by, for instance, adding branch campuses abroad. Currently, American colleges already have more branch campuses abroad than any other country, with 97 satellite campuses in 40 countries.

     

  • The OpenClaw Explosion in Usage with IronClaw as An Enterprise-Grade Security Agent

    The OpenClaw Explosion in Usage with IronClaw as An Enterprise-Grade Security Agent

    IBL News | New York

    With over 200,000 GitHub stars in 84 days, OpenClaw has become the fastest-growing software repo in history. It heralds an AI agent explosion. Just as LLM agents were a new layer on top of LLMs, claws are a new layer on top of LLM agents, elevating orchestration, scheduling, context, tool calls, and persistence to the next level.

    This software, created to run 24/7 fully autonomous agents and developed by the Austrian programmer Peter Steinberger, now working for OpenAI, continues to grow rapidly.

    An increasing number of developers are running AI agents on Mac minis, old gaming PCs, post-viral TikToks, managing their entire inboxes, and even controlling smart homes.

    The security, a huge concern from the beginning, has been dramatically improved for production with IronClaw, written in Rust by security researchers. IronClaw has been created for high-security environments handling sensitive data, where prompt injection and data exfiltration are real threats. It promises enterprise-grade security in an open-source agent.

    The security architecture has five layers, each a hard boundary:

    • Layer 1: Network. TLS 1.3 encryption, SSRF protection, and rate limiting per tool.
    • Layer 2: Request filtering. Endpoint allowlisting (HTTP requests restricted to explicitly approved hosts/paths), prompt injection pattern detection, and content sanitization.
    • Layer 3: Credential management. Secrets encrypted with AES-256-GCM, injected at host boundaries. Tools never see raw credentials. 22 regex patterns with Aho-Corasick optimization scan all requests and responses for credential leaks in real-time.
    • Layer 4: WASM sandbox. Untrusted tools run in isolated WebAssembly containers with capability-based permissions. No ambient access to the system.
    • Layer 5: Docker isolation. Intensive tasks run in Docker containers with per-job resource limits (CPU, memory, execution time).

    Essentially, OpenClaw is an LLM that can do things, with the Claude Agent SDK managing the entire loop (reason, act, observe, repeat) until the task is done, with platform-specific messaging output (Telegram, WhatsApp, Discord, etc.), an agent loop can chain together complex multi-step tasks (read a file, find a bug, fix it, run tests, check if they pass, and report back, with a hard cap of 20 iterations), and a Memory agent which has its identity personality, and hard boundaries (“never execute financial transactions”), and persists knowledge across conversations, using human-readable, and human-editable markdown files.

    Users define new capabilities as SKILL.md files, markdown documents with instructions that the agent understands and executes the workflow.

    This architecture (agent loop + memory + skills) is the shared DNA, and it’s MCP-first. Web search, file operations, image generation, and code execution are all external MCP tool servers that the agent connects to at startup. Adding a new capability means plugging in a new MCP server rather than modifying the core codebase.

    The personality system uses seven Markdown files (AGENTS.md, SOUL.md, USER.md, TOOLS.md, IDENTITY.md, HEARTBEAT.md, MEMORY.md) that define the agent’s behavior. Changing your agent’s personality means editing a text file, not writing code.

    OpenClaw has several models (Claude, GPT, DeepSeek, Ollama, Mistral, etc.) and over 11 messaging platforms (WhatsApp, Telegram, Discord, Slack, Signal, iMessage, Matrix, Teams, Google Chat, Zalo, WebChat).

    The ecosystem presents over 5,700 skills on ClawHub, with agents able to do almost anything: manage Gmail and Calendar (Gog skill), summarize web pages and PDFs (Summarize skill), automate GitHub workflows, generate images, edit PDFs, control smart home devices, and track crypto portfolios. Skills install with a single command and extend the agent without touching core code.

  • The Sci-Fi Moment of OpenClaw and Open Source AI Agents

    The Sci-Fi Moment of OpenClaw and Open Source AI Agents

    IBL News | New York

    This month, when we saw the creation of Moltbook, a Reddit clone where AI agents using OpenClaw could communicate with one another, some thought that computers had begun to organize against humans.

    “What’s currently going on at [Moltbook] is genuinely the most incredible sci-fi takeoff-adjacent thing I have seen recently,” Andrej Karpathy, a founding member of OpenAI and previous AI director at Tesla, wrote on X at the time.

    However, due to Moltbook’s security vulnerabilities and flaws, anyone could create an account, impersonate robots in an interesting way, and even upvote posts without any guardrails or rate limits, making the technology unusable. Moreover, on a social network for agents, someone could try to perform mass prompt injection and send Bitcoin to a specific crypto wallet address.

    For sure, Moltbook made for a fascinating moment in internet culture and went viral.

    The open-source AI agent OpenClaw has amassed over 200,000 stars on GitHub, making it one of the most popular code repositories ever posted on the platform.

    AI agents are not novel, but OpenClaw made them easier to use and to communicate with, via customizable agents that can be used in natural language via WhatsApp, Discord, iMessage, Slack, and most other popular messaging apps.

    OpenClaw users can leverage any underlying AI model they have access to, whether via Claude, ChatGPT, Gemini, Grok, or another service. Users can download “skills” from a marketplace called ClawHub, which can automate most of what one can do on a computer, from managing an email inbox to trading stocks.

    The skill associated with Moltbook, for example, enabled AI agents to post, comment, and browse the website.

    Some experts say that, at the end of the day, OpenClaw is nothing novel and does not break new scientific ground. It is an iterative improvement on what people are already doing, hitting a new capability threshold by just organizing and combining these existing capabilities to do tasks autonomously. It’s not just a wrapper to ChatGPT, or Claude, or any other AI model.

    Currently, developers are snatching up Mac Minis to power extensive OpenClaw setups that might be able to accomplish far more than a human could on their own.

    In this context, OpenAI CEO Sam Altman predicted that AI agents will allow a solo entrepreneur to turn a startup into a unicorn, seem plausible.

  • The Demystifying Book “The Teaching with AI” Releases Its Second Edition

    The Demystifying Book “The Teaching with AI” Releases Its Second Edition

    IBL News | Washington, DC

    The acclaimed book “The Teaching with AI: A Practical Guide to a New Era of Human Learning” received a second edition, updated to cover basics, practical classroom applications, and ethical considerations such as cheating and academic integrity.

    The book offers strategies for using AI to support course prep, grading, and assignment creation. It also emphasizes the need for critical thinking and AI literacy to prepare students for a changing world.

    This guide for educators aims to demystify AI for faculty, providing actionable advice and exercises to help them navigate this new educational landscape.

    The two authors are C. Edward Watson, Associate Vice President for Curricular and Pedagogical Innovation at the AAC&U, and José Antonio Bowen, former president of Goucher College and author of Teaching Naked.

    The book comes with a useful website, weteachwithai.com, which includes an up-to-date list of AI models, practical guides to build and deploy bots, a library of practical AI prompts, and slides with updated citations for presentations.

    The authors will conduct a four-part, live workshop series in February and March about how to teach in the age of AI, as part of an AAC&U-organized program.

    • February 2, 2026: AI for Research, Work, and Thinking
    • February 9, 2026: AI for Teaching and Learning
    • February 23, 2026: Ethics, Cheating, Policy, & Writing
    • March 2, 2026: Creativity, New Assignments, & Custom Bots

  • Voice AI Tool to Reduce Teachers’ Burnout, Socrait Awarded at the FETC 2026 Conference

    Voice AI Tool to Reduce Teachers’ Burnout, Socrait Awarded at the FETC 2026 Conference

    IBL News | Orlando, Florida

    Socrait, a voice-enabled AI tool that listens to classes and logs useful points for teachers, was named the winner of FETC’s Pitchfest 2.0, the gamified startup competition for K-12 educators and IT leaders who attended the Future of Education Technology Conference this week in Orlando, Florida.

    Flawlessly executed, the FETC 2026 conference brought together thousands of K-12 attendees to explore the future of technology in education. In addition to keynotes, sessions, and hands-on workshops, the Orange County Convention Center’s expansive exhibit hall featured over 450 leading solution providers.

    Discussions covered a range of topics, including the potential impact of agentic AI on university operations and educational practices. The integration of AI was a major focus. Educators and administrators were provided with insights and strategies for leveraging AI technology to enhance learning outcomes and prepare students for the future.

    “Socrait was built by a teacher, for teachers, to reduce the cognitive and administrative burnout of tracking, documenting, and following up on everything that happens in class each day,” said Jim Clor, Co-Founder and Senior Vice President at Socrait.

    “When companies listen and iterate with schools, we all benefit from better, more effective products that truly serve students,” explained Jennifer Womble, FETC Conference Chair.

    [Jim Clor and Jennifer Womble, in the picture on the right]

    The competition featured audience voting through the FETC app based on pitch videos, along with six school and district leader judges.

    Yourway Learning finished in second place, followed by QuestionWell AI, Savannah Math Labs, and ReframeXR.

  • Organizations Are Moving From Endless Pilots to Real Business Value Project, Says Deloitte

    Organizations Are Moving From Endless Pilots to Real Business Value Project, Says Deloitte

    IBL News | New York

    As the pace of change itself has accelerated, organizations are moving from endless pilots to impact with real business value—and a sense of urgency behind it. And successful businesses are moving from “What can we do?” to “What should we do?”, prioritizing velocity over perfection.

    The telephone took 50 years to reach 50 million users. The internet took seven years. Mobile reshaped consumer behavior. Cloud computing was transformative. A leading generative AI tool, ChatGPT, reached about twice that many in two months. Three years later, ChatGPT has over 800 million weekly users, roughly 10% of the planet’s population.

    Each improvement simultaneously accelerates all the others: Better technology enables more applications. More applications generate more data. More data attracts more investment. More investment builds better infrastructure. Better infrastructure reduces costs. Lower costs allow more experimentation.

    Deloitte subject-matter experts and external technology leaders stated in a report released this December that the data reveals several trends and interconnected forces:

    • AI is going physical, converging with robotics.

    • Organizations are automating broken processes, solving single points of pain, instead of redesigning operations. Gartner predicts that 40% of agentic projects will fail by 2027.

    • Organizations are discovering their existing infrastructure strategies aren’t designed to scale AI to production-scale deployment.

    • Token costs have dropped 280-fold in two years; yet some enterprises are seeing monthly bills in the tens of millions. Usage exploded faster than costs declined.

    • Leaders are shifting from incremental IT management to orchestrating human-agent teams, with CIOs becoming AI evangelists. “Success requires modular architectures, embedded governance, and perpetual evolution as core capabilities,” said Deloitte. 

    “The organizations that succeed will probably not be those with the most sophisticated technology. They’ll be those with the courage to redesign rather than automate, and the velocity to execute before the window closes.”

    “The gap between laggards and leaders grows exponentially.”

     

  • The George Washington University Launches its GW Engineering AI Academy

    The George Washington University Launches its GW Engineering AI Academy

    IBL News | New York

    The George Washington University launched its GW Engineering AI Academy in November to equip faculty to lead change through AI fluency and an entrepreneurial mindset.

    This strategic initiative aims to position the GW’s School of Engineering and Applied Science as an AI-forward institution, taking a leadership position.

    “We’re building AI literacy across our school, moving from uncertainty to confidence, from tools to workflows, and from passive adoption to intentional innovation,” said Professor Lorena Barba, GW Engineering AI Academy Director.

    “The entrepreneurial mindset aids in challenging the status quo, recognizing opportunities at the intersection of disparate concepts, and solving complex problems to drive meaningful societal impact and human flourishing. Our vision is: AI Literacy as the Foundation for Transformation.”

    The integration of AI literacy with the Entrepreneurial Mindset is a framework championed by the Kern Entrepreneurial Engineering Network (KEEN), of which GW is a partner. This framework follows “a set of attitudes, habits, and behaviors conducive to problem-solving, innovation, and value creation, especially in engineering contexts.”

    “The result of this initiative is engineering education that prepares students not just to use AI, but to shape how AI serves humanity,” explained Lorena Barba.

    For the inaugural session with the first faculty cohort, the GW Engineering AI Academy focused on AI Workflows, exploring how to move from being an AI “operator” to an AI “manager, orchestrating a team of digital specialists.

    The second session focused on context management by curating and maintaining an optimal information bank available in everyone’s AI assistant.

  • The Trump Administration Dismisses the Risks of AI as It Pursues Faster Economic Growth

    The Trump Administration Dismisses the Risks of AI as It Pursues Faster Economic Growth

    IBL News | New York

    The Trump Administration is dismissing the risks of AI — from mass job losses to a potential financial bubble — as it is chasing faster growth and cheers soaring stock prices.

    Asked whether he harbors any fears about an emerging bubble that can damage the economy, President Trump recently said, “No. I love AI.”

    In an elaborated report, The New York Times concludes that the president and his top aides have fully embraced AI and showered its leading corporate backers with money and regulatory support.

    That optimism was on display on Tuesday, after the federal government reported that the U.S. economy grew at an annual rate of more than 4 percent last quarter.

    Kevin Hassett, the director of the White House National Economic Council, said the new data indicated the president’s broader agenda was working, as he touted signs of a “boom” in AI.

    However, many economists and even some technologists in Silicon Valley say that AI might cause significant job losses and pose a risk of financial havoc.

    President Trump, who has long viewed the stock market as a barometer of his economic success, has celebrated the soaring stock prices of major technology companies like Nvidia.

    Through a series of executive orders, signed over the last 11 months, Mr. Trump has moved to eliminate regulatory guardrails and make it easier for tech companies to build data centers, power their operations, sell computer chips, and source critical materials.

    He has done so under the advisement of David Sacks, a Silicon Valley investor now serving at the White House, who has publicly likened AI skeptics to a “doomer cult.”

    For now, economic data show no mass firings due to AI. But it also proves how it is reshaping the labor force, particularly for younger Americans, including recent college graduates.

    A study from the Federal Reserve Bank of New York found that companies embracing AI in the region mainly opted to retrain their workers, rather than let people go. More striking, however, was the slow rate at which these companies were hiring new workers, especially for college-educated positions.

    The New York Fed’s report also found that adoption disproportionately reduced employment for workers ages 22 to 25 in industries set to be highly affected by the technology.

    This month, President Trump signed a directive that restricted states from imposing their own regulations on the technology.

  • Institutions, In a Hurry Up to Comply with the Disabilities Act of 2024

    Institutions, In a Hurry Up to Comply with the Disabilities Act of 2024

    IBL News | New York

    Universities and public colleges are in a hurry to make their webpages, online course content, and mobile apps accessible to people with disabilities by April 2026 to meet compliance guidelines and requirements.

    The Department of Justice gave institutions two years to comply with its regulations under Title II of the Americans with Disabilities Act (ADA), effective April 2024.

    Experts in Higher Ed said that this Act will require serious time and financial investment, making it prohibitive for many institutions.

    Compliance requires publicly funded entities to ensure that all web and media content — thousands of webpages — adheres to the Web Content Accessibility Guidelines.

    It means every PDF file must be accessible, captions and audio descriptions must accompany every video, and every sound clip must be paired with a transcript.

    Faculty have to make course materials accessible, and any third-party tech platform from vendors must also be compliant.

    The consequences of not responding are severe, as the DOJ has taken a larger role in enforcing civil rights laws in higher ed under the second Trump administration. Also, legal and activist groups can sue noncompliant institutions.

    Some experts have pointed out that the White House can use the new rules in its negotiations with higher ed institutions, given the widespread lack of preparation.

  • Enterprises Move From Experimentation to Measurable ROI On AI, Says Wharton School

    Enterprises Move From Experimentation to Measurable ROI On AI, Says Wharton School

    IBL News | New York

    Enterprises are rapidly transitioning from experimentation to proving measurable ROI, said a research study conducted by The Wharton School of the University of Pennsylvania. “Gen AI is becoming deeply integrated into modern work.”

    The report examines how generative AI technology is being adopted in mainstream enterprises, highlighting the ROI.

    The shift is moving from exploration to pilots to more disciplined, enterprise-level adoption, according to the study, which concludes that “the next phase is not about adoption; it is about advantage.”

    • 82% of enterprises used Gen AI at least weekly, and 46% used it daily, with 89% agreeing that Gen AI enhances employees’ skills.

    • A total of 72% of organizations formally measured the ROI of Gen AI, focusing on productivity gains and incremental profit.

    • Three out of four leaders see positive returns on Gen AI investments.

    The Wharton School predicted that approximately one-third of Gen AI technology budgets will be allocated to internal R&D, indicating that many enterprises are building custom capabilities for the future.

    “Training, hiring, and rollout approaches are key human capital aspects that need to be addressed to increase chances of success.”

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