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    <title>L&amp;D Market Signals — Ravinder Tulsiani</title>
    <link>https://rtulsiani.com/market-signals</link>
    <description>Short observations on what’s changing in learning, workforce capability and organizational performance, and what those changes may mean for leaders. Solve the Right Problem.</description>
    <language>en</language>
    <item>
      <title>AI Workforce Costs Start With Work Design, Not Training</title>
      <link>https://rtulsiani.com/market-signals/hidden-ai-costs-threaten-workforce-roi</link>
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      <pubDate>Mon, 21 Sep 2026 12:00:00 GMT</pubDate>
      <description>AI workforce costs are better treated as design and governance exposures than as a simple technology or training line item.</description>
      <dc:creator>Ravinder Tulsiani</dc:creator>
      <category>Gartner</category>
      <category>Human Resources Director</category>
      <category>HRO Today</category>
      <category>Eagle Hill Consulting</category>
      <category>Ipsos</category>
      <category>CHROs</category>
      <category>AI workforce transformation</category>
    </item>
    <item>
      <title>AI Can Perform More Work Than People Can Safely Govern</title>
      <link>https://rtulsiani.com/market-signals/cognitive-atrophy-in-the-age-of-artificial-intelligence-how-algorithmi</link>
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      <pubDate>Mon, 21 Sep 2026 12:00:00 GMT</pubDate>
      <description>AI dependency is not yet proven to erode workforce judgment. The defensible decision is to protect the human capability that assigned responsibility requires.</description>
      <dc:creator>Ravinder Tulsiani</dc:creator>
      <category>Artificial intelligence</category>
      <category>Generative AI</category>
      <category>Critical thinking</category>
      <category>Cognitive offloading</category>
      <category>Automation bias</category>
      <category>Human responsibility</category>
      <category>Workforce capability</category>
      <category>Enterprise learning</category>
      <category>Work design</category>
      <category>Decision rights</category>
    </item>
    <item>
      <title>AI Execution Stalls When Leadership Does Not Change</title>
      <link>https://rtulsiani.com/market-signals/alchemist-to-explore-the-ai-leadership-execution-gap-at-learning-live-</link>
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      <pubDate>Mon, 21 Sep 2026 12:00:00 GMT</pubDate>
      <description>A conference session points to a leadership bottleneck that can hide behind a training agenda: AI changes work faster than organizations change accountability.</description>
      <dc:creator>Ravinder Tulsiani</dc:creator>
      <category>Alchemist</category>
      <category>Charlie Swan</category>
      <category>LEARNING LIVE 2026</category>
      <category>Learning News</category>
      <category>AI leadership execution</category>
      <category>AI-enabled tools</category>
      <category>Leadership development</category>
      <category>Enterprise learning and capability strategy</category>
    </item>
    <item>
      <title>AI May Free L&amp;D Capacity, Unless More Content Becomes the Outcome</title>
      <link>https://rtulsiani.com/market-signals/the-agents-l-d-teams-are-using-most</link>
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      <pubDate>Sun, 20 Sep 2026 12:00:00 GMT</pubDate>
      <description>Early agentic AI use may free L&amp;D capacity, but only a deliberate shift toward diagnosis, work design and evidence will turn automation into capability value.</description>
      <dc:creator>Ravinder Tulsiani</dc:creator>
      <category>Docebo</category>
      <category>L&amp;D teams</category>
      <category>agentic AI</category>
      <category>HR leaders</category>
      <category>CHROs</category>
      <category>CPOs</category>
      <category>senior CLOs</category>
    </item>
    <item>
      <title>AI Recruiting Advice Still Needs Manager Accountability</title>
      <link>https://rtulsiani.com/market-signals/i-meant-to-take-the-week-off</link>
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      <pubDate>Sun, 20 Sep 2026 12:00:00 GMT</pubDate>
      <description>ERE's Talent Advisor shows how curated expertise could reach hiring managers at the point of need, but access to advice is not evidence of better hiring practice.</description>
      <dc:creator>Ravinder Tulsiani</dc:creator>
      <category>ERE</category>
      <category>ERE Pro</category>
      <category>Talent Advisor</category>
      <category>David Manaster</category>
      <category>Claude</category>
      <category>ERE Recruiting Innovation Summit</category>
      <category>talent acquisition leaders</category>
      <category>hiring managers</category>
    </item>
    <item>
      <title>AI Bias Signals Do Not Erase the Accountability Question</title>
      <link>https://rtulsiani.com/market-signals/human-like-intuitive-behavior-and-reasoning-biases-emerged-in-large-la</link>
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      <pubDate>Sun, 20 Sep 2026 12:00:00 GMT</pubDate>
      <description>A model that appears less biased can still leave a person unable to challenge the decision they are accountable for.</description>
      <dc:creator>Ravinder Tulsiani</dc:creator>
      <category>Nature Computational Science</category>
      <category>Thilo Hagendorff</category>
      <category>Sarah Fabi</category>
      <category>Michal Kosinski</category>
      <category>ChatGPT</category>
      <category>large language models</category>
      <category>AI governance</category>
      <category>human responsibility</category>
      <category>enterprise learning and workforce capability</category>
    </item>
    <item>
      <title>Critical Thinking Is Not a Universal AI Skill</title>
      <link>https://rtulsiani.com/market-signals/critical-thinking-creating-job-proof-skills-for-the-future-of-work</link>
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      <pubDate>Sun, 20 Sep 2026 12:00:00 GMT</pubDate>
      <description>The real question is not whether people need to think harder, but where human accountability must sit in AI affected work.</description>
      <dc:creator>Ravinder Tulsiani</dc:creator>
      <category>Nature Computational Science</category>
      <category>large language models</category>
      <category>ChatGPT</category>
      <category>critical thinking</category>
      <category>human judgment</category>
      <category>AI-affected work</category>
      <category>enterprise learning and workforce capability</category>
    </item>
    <item>
      <title>AI Support Needs a Performance Owner, Not Just a Portfolio Refresh</title>
      <link>https://rtulsiani.com/market-signals/beyond-the-launch-tangible-progress-in-sap-services-and-support-for-re</link>
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      <pubDate>Sun, 20 Sep 2026 12:00:00 GMT</pubDate>
      <description>SAP's service update is a useful prompt to test who owns performance when AI enters enterprise workflows, but it is not yet proof of adoption or results.</description>
      <dc:creator>Ravinder Tulsiani</dc:creator>
      <category>SAP</category>
      <category>SAP Services and Support</category>
      <category>AI-enabled enterprise support models</category>
      <category>CHRO/CPO/L&amp;D leaders</category>
    </item>
    <item>
      <title>AI Productivity Needs Work Redesign, Not Just Rollout Training</title>
      <link>https://rtulsiani.com/market-signals/ai-boosts-productivity-but-culture-gaps-threaten-roi</link>
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      <pubDate>Sun, 20 Sep 2026 12:00:00 GMT</pubDate>
      <description>AI productivity claims become more useful when leaders test whether work, responsibility and capability plans have changed together.</description>
      <dc:creator>Ravinder Tulsiani</dc:creator>
      <category>Eagle Hill Consulting</category>
      <category>Ipsos</category>
      <category>FairsOnline</category>
      <category>Gartner</category>
      <category>Human Resources Director</category>
      <category>HRO Today</category>
      <category>CHROs</category>
      <category>CPOs</category>
      <category>CLOs</category>
      <category>AI-enabled work redesign</category>
    </item>
    <item>
      <title>External Workforce Learning Needs Performance Evidence, Not Just Reach</title>
      <link>https://rtulsiani.com/market-signals/ai-at-work-how-to-scale-learning-across-the-extended-enterprise</link>
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      <pubDate>Sun, 20 Sep 2026 12:00:00 GMT</pubDate>
      <description>AI enabled learning across external workers may require capability governance, but the available source does not prove adoption or outcomes.</description>
      <dc:creator>Ravinder Tulsiani</dc:creator>
      <category>Docebo</category>
      <category>extended enterprise</category>
      <category>AI-enabled learning</category>
      <category>skills data</category>
      <category>external workforce</category>
      <category>capability governance</category>
      <category>enterprise learning</category>
    </item>
    <item>
      <title>AI Adoption Is Outrunning Workforce Design</title>
      <link>https://rtulsiani.com/market-signals/ai-adoption-outpacing-workforce-readiness</link>
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      <pubDate>Sun, 20 Sep 2026 12:00:00 GMT</pubDate>
      <description>AI adoption figures are useful only when leaders connect them to changed work, decision rights and workforce costs.</description>
      <dc:creator>Ravinder Tulsiani</dc:creator>
      <category>Absorb Software</category>
      <category>HRO Today</category>
      <category>Eagle Hill Consulting</category>
      <category>Ipsos</category>
      <category>Gartner</category>
      <category>Human Resources Director</category>
      <category>AI adoption</category>
      <category>workforce readiness</category>
      <category>learning and development</category>
      <category>work redesign</category>
    </item>
    <item>
      <title>Learning Programs Need a Business Decision Before a Purpose Statement</title>
      <link>https://rtulsiani.com/market-signals/the-strategy-of-starting-with-why</link>
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      <pubDate>Sun, 20 Sep 2026 12:00:00 GMT</pubDate>
      <description>Starting with why can improve learning design, but only when it leads to a measurable performance decision rather than a stronger program rationale.</description>
      <dc:creator>Ravinder Tulsiani</dc:creator>
      <category>CHROs</category>
      <category>CPOs</category>
      <category>L&amp;D leaders</category>
    </item>
    <item>
      <title>Performance Data Needs a Decision Before It Needs a Dashboard</title>
      <link>https://rtulsiani.com/market-signals/sap-bdc-helps-team-liquid-optimize-player-performance</link>
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      <pubDate>Sun, 20 Sep 2026 12:00:00 GMT</pubDate>
      <description>Team Liquid's use of SAP Business Data Cloud is a useful test of performance measurement, but one esports case does not establish a transferable workforce model.</description>
      <dc:creator>Ravinder Tulsiani</dc:creator>
      <category>SAP</category>
      <category>Team Liquid</category>
    </item>
    <item>
      <title>Skills Intelligence Needs a Decision Test, Not Just Better Visibility</title>
      <link>https://rtulsiani.com/market-signals/lpi-and-abodoo-announce-strategic-collaboration-on-skills-intelligence</link>
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      <pubDate>Sun, 20 Sep 2026 12:00:00 GMT</pubDate>
      <description>The LPI and Abodoo collaboration is worth watching, but skills visibility has value only when it changes a workforce decision.</description>
      <dc:creator>Ravinder Tulsiani</dc:creator>
      <category>Learning and Performance Institute</category>
      <category>Abodoo</category>
    </item>
    <item>
      <title>Use Learning Events to Test Capability Decisions, Not Set Them</title>
      <link>https://rtulsiani.com/market-signals/learning-technologies-2026-autumn-forum-opens-registration</link>
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      <pubDate>Sun, 20 Sep 2026 12:00:00 GMT</pubDate>
      <description>The Learning Technologies 2026 Autumn Forum may sharpen capability decisions, but attendance is not evidence that a new approach will improve work.</description>
      <dc:creator>Ravinder Tulsiani</dc:creator>
      <category>Learning Technologies</category>
      <category>L&amp;D Leaders</category>
    </item>
    <item>
      <title>AI Can Help, but the Decision System Must Change</title>
      <link>https://rtulsiani.com/market-signals/ai-s-influence-on-enterprise-decision-making</link>
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      <pubDate>Sun, 20 Sep 2026 12:00:00 GMT</pubDate>
      <description>A survey of firms shows that AI can improve decision quality, yet the sharper issue is whether leadership has redesigned the work, governance and accountability around that decision making.</description>
      <dc:creator>Ravinder Tulsiani</dc:creator>
      <category>AI</category>
      <category>Enterprise Decision-Making</category>
    </item>
    <item>
      <title>AI Training ROI Depends on Performance Evidence, Not Tool Adoption</title>
      <link>https://rtulsiani.com/market-signals/ai-leadership-training-roi-scrutiny</link>
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      <pubDate>Sun, 20 Sep 2026 12:00:00 GMT</pubDate>
      <description>AI leadership training deserves investment only when leaders can connect adoption to changed work, measurable performance and accountable ownership.</description>
      <dc:creator>Ravinder Tulsiani</dc:creator>
      <category>AI Leadership Training</category>
      <category>Enterprise L&amp;D Teams</category>
    </item>
    <item>
      <title>AI Content Can Move Fast. Capability Decisions Still Need Diagnosis.</title>
      <link>https://rtulsiani.com/market-signals/your-learners-need-ai-skills-faster-than-you-can-build-them-how-to-use</link>
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      <pubDate>Sat, 19 Sep 2026 12:00:00 GMT</pubDate>
      <description>Off-the-shelf AI content may accelerate learning, but only a defined work problem and performance evidence can justify scaling it.</description>
      <dc:creator>Ravinder Tulsiani</dc:creator>
      <category>Docebo</category>
    </item>
    <item>
      <title>A Smaller Workforce Requires Better Work Design, Not Just New Headcount Plans</title>
      <link>https://rtulsiani.com/market-signals/us-workforce-in-2035-a-few-more-workers-a-lot-more-output</link>
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      <pubDate>Sat, 19 Sep 2026 12:00:00 GMT</pubDate>
      <description>A smaller, more productive workforce will test whether organizations can redesign work and decision rights, not just revise headcount forecasts.</description>
      <dc:creator>Ravinder Tulsiani</dc:creator>
      <category>US Workforce</category>
      <category>AI</category>
    </item>
    <item>
      <title>AI Adoption Can Outrun the Culture Leaders Think They Have</title>
      <link>https://rtulsiani.com/market-signals/the-rise-of-ai-shadow-culture</link>
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      <pubDate>Sat, 19 Sep 2026 12:00:00 GMT</pubDate>
      <description>Informal AI use may expose gaps in work design, decision rights and accountability, but the current evidence does not establish its scale or business impact.</description>
      <dc:creator>Ravinder Tulsiani</dc:creator>
      <category>AI shadow culture</category>
      <category>organizational culture</category>
      <category>tech adoption</category>
    </item>
    <item>
      <title>AI Safety Frameworks Do Not Decide Who Owns the Consequences</title>
      <link>https://rtulsiani.com/market-signals/safety-overview-gpt-6-astra</link>
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      <pubDate>Sat, 19 Sep 2026 12:00:00 GMT</pubDate>
      <description>OpenAI's GPT-6 Astra safety overview is a useful starting point, but leaders still need to decide who holds authority and accountability when AI enters workforce decisions.</description>
      <dc:creator>Ravinder Tulsiani</dc:creator>
      <category>OpenAI</category>
      <category>GPT-6 Astra</category>
    </item>
    <item>
      <title>Learning Podcasts Need a Performance Job, Not Just an Audience</title>
      <link>https://rtulsiani.com/market-signals/new-paper-the-evidence-for-learning-podcasts-and-where-they-work-best</link>
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      <pubDate>Sat, 19 Sep 2026 12:00:00 GMT</pubDate>
      <description>Learning podcasts may expand access to development, but their value depends on the work they are meant to change.</description>
      <dc:creator>Ravinder Tulsiani</dc:creator>
      <category>Learning Podcasts</category>
      <category>Corporate Learning</category>
    </item>
    <item>
      <title>A Large HR Platform Refresh Is a Manager Design Decision</title>
      <link>https://rtulsiani.com/market-signals/lockheed-martin-advances-workforce-transformation-with-sap-successfact</link>
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      <pubDate>Sat, 19 Sep 2026 12:00:00 GMT</pubDate>
      <description>Lockheed Martin's SAP SuccessFactors move is useful evidence for a broader question: are leaders buying a system or redesigning the work that makes the system valuable?</description>
      <dc:creator>Ravinder Tulsiani</dc:creator>
      <category>Lockheed Martin</category>
      <category>SAP SuccessFactors</category>
    </item>
    <item>
      <title>A Skills Platform Comparison Cannot Replace a Capability Decision</title>
      <link>https://rtulsiani.com/market-signals/docebo-vs-techwolf-enterprise-skills-platform-comparison</link>
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      <pubDate>Sat, 19 Sep 2026 12:00:00 GMT</pubDate>
      <description>A vendor comparison can frame diligence, but skills intelligence creates value only when it is tied to a defined performance decision and measurable evidence.</description>
      <dc:creator>Ravinder Tulsiani</dc:creator>
      <category>Docebo</category>
      <category>TechWolf</category>
    </item>
    <item>
      <title>Capability Measures Need a Business Decision Behind Them</title>
      <link>https://rtulsiani.com/market-signals/why-proving-roi-is-the-wrong-argument-infopro-learning-takes-the-stage</link>
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      <pubDate>Fri, 18 Sep 2026 12:00:00 GMT</pubDate>
      <description>Infopro Learning is challenging ROI as L&amp;D's primary measure, but a capability framework will need evidence that it improves real decisions and performance.</description>
      <dc:creator>Ravinder Tulsiani</dc:creator>
      <category>Infopro Learning</category>
      <category>LEARNING LIVE 2026</category>
    </item>
    <item>
      <title>AI Can Help Employees Learn, but Its Judgments Need Boundaries</title>
      <link>https://rtulsiani.com/market-signals/the-line-between-helping-employees-learn-and-judging-them</link>
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      <pubDate>Fri, 18 Sep 2026 12:00:00 GMT</pubDate>
      <description>AI can support employee learning and evaluate performance, but combining those functions requires clearer evidence, purpose and accountability.</description>
      <dc:creator>Ravinder Tulsiani</dc:creator>
      <category>AI in Learning</category>
      <category>Employee Development</category>
    </item>
    <item>
      <title>Pay Transparency Needs a Credible Performance System Behind It</title>
      <link>https://rtulsiani.com/market-signals/rampant-pay-cynicism-threatens-companies-report-finds</link>
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      <pubDate>Fri, 18 Sep 2026 12:00:00 GMT</pubDate>
      <description>Pay transparency may reduce cynicism only when employees can see a consistent, credible link between performance decisions and pay.</description>
      <dc:creator>Ravinder Tulsiani</dc:creator>
      <category>CHROs</category>
      <category>CPOs</category>
      <category>CLOs</category>
      <category>transformation leaders</category>
      <category>senior L&amp;D/workforce leaders</category>
    </item>
    <item>
      <title>Growth Is Outrunning Workforce Readiness</title>
      <link>https://rtulsiani.com/market-signals/new-research-reveals-growing-workforce-enablement-gap-across-uk-and-us</link>
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      <pubDate>Fri, 18 Sep 2026 12:00:00 GMT</pubDate>
      <description>Confirm research points to workforce readiness gaps during growth, but the evidence supports diagnosis before another enablement solution.</description>
      <dc:creator>Ravinder Tulsiani</dc:creator>
      <category>Confirm</category>
      <category>UK businesses</category>
      <category>US businesses</category>
    </item>
    <item>
      <title>AI Value Depends Less on Training Than on Work Redesign</title>
      <link>https://rtulsiani.com/market-signals/microsoft-says-ai-transformation-required-redesigning-work-not-just-de</link>
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      <pubDate>Fri, 18 Sep 2026 12:00:00 GMT</pubDate>
      <description>Microsoft’s internal evidence suggests the common diagnosis is often wrong. Broad access, tools and training may help, but for organizations that adopt AI, value appears to depend more on workflow redesign, decision rights and manager-led adaptation around real work.</description>
      <dc:creator>Ravinder Tulsiani</dc:creator>
      <category>Microsoft</category>
      <category>Deloitte</category>
      <category>SAP</category>
    </item>
    <item>
      <title>AI Adoption Can Outrun the Ability to Verify Its Work</title>
      <link>https://rtulsiani.com/market-signals/how-ai-native-companies-turn-workflows-into-operating-capability</link>
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      <pubDate>Fri, 18 Sep 2026 12:00:00 GMT</pubDate>
      <description>Agentic AI can advance faster than an organization's ability to verify its outputs. Leaders should treat verification as part of work design and capability, not as a training afterthought.</description>
      <dc:creator>Ravinder Tulsiani</dc:creator>
      <category>AI-native companies</category>
      <category>traditional companies</category>
      <category>L&amp;D leaders</category>
    </item>
    <item>
      <title>AI Inclusion Needs More Than Access to a Helpful Relative</title>
      <link>https://rtulsiani.com/market-signals/helping-older-adults-use-ai-in-everyday-life</link>
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      <pubDate>Fri, 18 Sep 2026 12:00:00 GMT</pubDate>
      <description>Intergenerational support can widen access to AI, but leaders should measure whether it builds independent judgment rather than dependence on a helpful relative.</description>
      <dc:creator>Ravinder Tulsiani</dc:creator>
      <category>Older Adults</category>
      <category>AI</category>
      <category>Intergenerational Learning</category>
    </item>
    <item>
      <title>Payroll Trust Is a Governance Design Issue</title>
      <link>https://rtulsiani.com/market-signals/from-ai-enabled-payroll-to-autonomous-payroll-the-next-evolution-of-wo</link>
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      <pubDate>Fri, 18 Sep 2026 12:00:00 GMT</pubDate>
      <description>A payroll vendor's AI push points to a larger operating question: when AI changes the work, who owns the exception and who is accountable for the trust decision?</description>
      <dc:creator>Ravinder Tulsiani</dc:creator>
      <category>SAP</category>
      <category>AI</category>
      <category>Autonomous Payroll</category>
    </item>
    <item>
      <title>Learning Impact Needs Earlier Evidence Than Business Metrics</title>
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      <pubDate>Fri, 18 Sep 2026 12:00:00 GMT</pubDate>
      <description>A measurement debate is surfacing in enterprise learning, and the real issue is not whether business outcomes matter, but whether organizations can detect capability change before the lagging metrics arrive.</description>
      <dc:creator>Ravinder Tulsiani</dc:creator>
      <category>CHROs</category>
      <category>CPOs</category>
      <category>CLOs</category>
      <category>transformation leaders</category>
      <category>senior L&amp;D/workforce leaders</category>
    </item>
    <item>
      <title>AI Can Scale Expertise Only If Human Trust Stays in the Work</title>
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      <pubDate>Fri, 18 Sep 2026 12:00:00 GMT</pubDate>
      <description>Learning with Experts is pointing toward the right design question: AI can help scale expert judgment, but only if responsibility, review and human trust remain built into the work. The evidence is early, and the decision is operational rather than rhetorical.</description>
      <dc:creator>Ravinder Tulsiani</dc:creator>
      <category>Learning with Experts</category>
      <category>AI</category>
      <category>L&amp;D Industry</category>
    </item>
    <item>
      <title>AI Is Changing Job Demand Before Organizations Redesign Work</title>
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      <pubDate>Fri, 18 Sep 2026 12:00:00 GMT</pubDate>
      <description>Texas data points to a leadership decision beyond AI training: redesign work and development paths so human judgment does not disappear while accountability remains.</description>
      <dc:creator>Ravinder Tulsiani</dc:creator>
      <category>Texas firms</category>
      <category>GenAI</category>
      <category>job market</category>
    </item>
    <item>
      <title>Agentic AI Can Preserve Junior Hiring While Breaking Apprenticeship</title>
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      <pubDate>Thu, 17 Sep 2026 12:00:00 GMT</pubDate>
      <description>BCG's new research points to a deeper capability risk than entry level job loss: if routine work disappears before work design changes, the pathway for building judgment can disappear with it.</description>
      <dc:creator>Ravinder Tulsiani</dc:creator>
      <category>Boston Consulting Group</category>
      <category>PwC</category>
      <category>NPower</category>
      <category>Burning Glass Institute</category>
      <category>Lloyds Banking Group</category>
      <category>Bank of America</category>
      <category>agentic AI</category>
      <category>apprenticeship</category>
      <category>early-career talent</category>
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      <category>work design</category>
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    <item>
      <title>Verified skills records can improve learning decisions, but they do not prove job performance</title>
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      <pubDate>Wed, 16 Sep 2026 12:00:00 GMT</pubDate>
      <description>Coursera and Udemy's Project Helix points to a stronger evidence model for enterprise learning. The real test is whether organizations keep assessment evidence, workplace performance and business outcomes distinct until the data genuinely connect them.</description>
      <dc:creator>Ravinder Tulsiani</dc:creator>
      <category>Coursera</category>
      <category>Udemy</category>
      <category>Project Helix</category>
      <category>verified capability</category>
      <category>skills verification</category>
      <category>enterprise learning</category>
      <category>workforce readiness</category>
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    <item>
      <title>As AI Executes More Service Work, Capability Has to Shift Upstream</title>
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      <pubDate>Tue, 15 Sep 2026 12:00:00 GMT</pubDate>
      <description>Air India is expanding Agentforce from refund processing into more complete service workflows. If that operating model spreads, people will spend less time executing routine steps and more time handling exceptions, judgment and accountability.</description>
      <dc:creator>Ravinder Tulsiani</dc:creator>
      <category>Air India</category>
      <category>Salesforce</category>
      <category>Agentforce</category>
      <category>agentic AI</category>
      <category>customer service</category>
      <category>human-AI work design</category>
      <category>workforce capability</category>
      <category>learning and development</category>
    </item>
    <item>
      <title>Training Creation Is Moving Beyond L&amp;D. Quality Control Has to Move With It.</title>
      <link>https://rtulsiani.com/market-signals/training-creation-beyond-lnd-quality-control</link>
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      <pubDate>Sun, 13 Sep 2026 12:00:00 GMT</pubDate>
      <description>Frontline puts AI-native course creation in the hands of business teams. If organizations adopt that model, L&amp;D's harder job becomes deciding what should be taught, who can publish it and how quality is warranted.</description>
      <dc:creator>Ravinder Tulsiani</dc:creator>
      <category>Articulate</category>
      <category>Articulate Frontline</category>
      <category>Nova (Articulate AI agent)</category>
      <category>Articulate 360</category>
      <category>learning management systems</category>
      <category>instructional design</category>
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