Future Ready Leadership With Jacob Morgan

April 24, 2026: The Wall Street Journal reports entry-level hiring is rebounding — but IBM's HR chief says AI can already do almost everything those jobs used to require, and ZipRecruiter's data shows 73% of grads are now considering gig or trade work because corporate entry roles have dried up. Business Insider investigates "tokenmaxxing" — the new corporate sport where employees at Disney, Meta, and JPMorgan compete to burn the most AI tokens — and a new study of 22,000 developers shows exactly what that's doing to actual work quality. And The Guardian reports Meta cutting 8,000 jobs and Microsoft offering buyouts to 9,000 people on the same day they announce hundreds of billions in new AI investment.

April 23, 2026: OpenAI released GPT-5.5 today — its second major model in six weeks. But while the software accelerates, the physical infrastructure powering it is triggering gunfire at council members' homes, Molotov cocktails at tech CEOs, and a grassroots rebellion that just ousted every incumbent on a Missouri city council one week after they voted yes on a data center. We also dig into the first-ever U.S. Census Bureau data on how AI is actually being adopted across American businesses — and why the real number is very different from what McKinsey has been telling you. And we look at what happened when Sullivan and Cromwell, the law firm that advises OpenAI on safe AI deployment, filed a federal court brief riddled with AI hallucinations.

April 22, 2026: What does it actually take to build an organization where people perform at their best? In this episode, I'm breaking down what I call Empathetic Excellence — and it comes down to three things: competence, merit, and empathy. Not one of them. All three. I share two stories that have stayed with me — one about my daughter Naomi on the tennis court, and one about my father's first job in America — that I think capture this better than any research study could. I also get into why calling meritocracy a myth is a trap, what two dystopian novels from the 1950s and 60s can teach us about the workplace today, and why the diversity conversation inside organizations needs to shift from what people look like to how they think. If you lead people — or want to — this episode is for you.

April 21, 2026: Amazon commits $33 billion total to Anthropic in a landmark deal securing 5 gigawatts of compute — the equivalent of five nuclear power plants — while Anthropic's revenue triples from $9 billion to $30 billion run-rate in months, signaling we are past the pilot phase. Meta installs tracking software on employee computers to capture every keystroke and mouse movement as training data for AI agents — examined here against the full context of $73 billion in Reality Labs losses, an AI model that trails its competitors on agentic benchmarks, and a photorealistic AI clone of Zuckerberg designed to replace human management conversations. And the Wall Street Journal goes inside BlackRock's AI transformation, where the world's largest investment firm is rolling out firm-wide agentic platforms and human "squads" to oversee AI — with its own head of AI admitting no one has fully cracked the nut yet.

Technology is moving faster than ever, and many of us feel the pressure to keep up without losing our human touch. We need a clear path to help our teams embrace change while building a culture of trust and growth. In this episode, Lisa Coulson, SVP and Chief Human Resource Officer at Principal Financial Group, joins me to talk about what it means to build an AI-literate workforce at its core within financial services. We explore how their data literacy and employee training program reached 90% of workers and how internal AI tools like "Page" and "Penny" helped with their AI adoption. Lisa shares their step-by-step "funnel" approach to reskilling and upskilling, the impact of AI in leadership development, and how to build an internal talent marketplace to match employee skills with new roles. We also tackle the necessity of governance in a regulated industry and the ongoing challenge of measuring AI's ROI and productivity gains during a workforce transformation. This episode is every CHRO's clear guide for leading a digital shift while keeping the employee experience strong. Watch the full video on YouTube ---------- Start your day with the world's top leaders by joining thousands of others at Great Leadership on Substack. Just enter your email: ⁠⁠https://greatleadership.substack.com/ Quick heads-up: my new book, The 8 Laws of Employee Experience, is a practical playbook for building an environment where people do their best work—order a copy here: 8EXlaws.com

April 17, 2026: Employer power has officially returned and workers are accepting things they never would have a year ago — but is that actually a bad thing? Then, teen boys are dating their AI chatbots and experts are warning about what that means for the future workforce. And finally, Gallup's 2026 State of the Global Workplace report reveals that global employee engagement has hit a five-year low — and what employees say they actually want from their leaders might surprise you.

April 16, 2026: Anthropic launched Claude Opus 4.7 this morning — a significant upgrade focused on complex coding and self-verification that changes what human oversight of AI actually needs to look like. Bank of America posted near-record earnings and credited AI, spotlighting a new tool for its 18,000 financial advisors that raises important questions about what happens when information advantage disappears from knowledge work. A major new global survey from WalkMe finds 80 percent of enterprise workers are actively avoiding AI tools, and new Gallup data shows Gen Z's enthusiasm for AI is collapsing fastest among daily users — pointing to a crisis of institutional trust that no training program can fix. And the CEO of Indeed argues the entire AI-and-jobs debate is focused on the wrong threat: demographic contraction, not AI displacement, will define the next 50 years of work — and almost nobody is preparing for it.

April 15, 2027: A failed sneaker brand rebrands as an AI compute company and its stock jumps 600% in a day — and that tells us something important about the race for AI infrastructure. Then, OpenAI releases GPT-5.4-Cyber, a specialized cybersecurity model, and quietly rewrites the rules for how dangerous AI gets deployed. The shift from restricting what models can do to verifying who can access them has direct implications for every business leader thinking about AI governance.

April 14, 2026: The Stanford AI Index shows generative AI has hit 53% global adoption — faster than any technology in history — but also reveals a 50-point gap between expert optimism and public fear about jobs. An AI agent in San Francisco opened a store, hired staff, negotiated with vendors, and forgot to schedule anyone on opening day. Meta is building a photorealistic clone of Mark Zuckerberg to interact with employees — raising hard questions about leadership presence at scale. And a new Bloomberg Businessweek investigation finds college students are skipping the broken entry-level job market entirely and founding AI companies instead. Jacob unpacks what each story actually signals for leaders, organizations, and the future of work.

Companies today are rushing to build an AI strategy, but they often forget to create a human strategy to match it. As technology takes over daily tasks, keeping the human element alive at work is a huge challenge for business leaders. In this episode, Kathie Patterson, Chief Human Resources Officer at Ally, joins us to explore how to balance new AI tools with human emotional intelligence. We uncover how to roll out AI to employees for better efficiency while making sure a human is always in the loop for the moments that truly matter. Kathie explains why leaders need strong EQ and training in crucial conversations to handle conflicts, since frustrating moments like getting stuck in dead-end phone trees prove that people still crave real human connection during stressful times. We also explore balancing workplace empathy with business accountability, offering real support like mental health and fertility benefits without treating adult employees like children. Finally, we look at how to adapt to generational shifts, like Gen Z entering the workplace, and the risks of using AI for HR tasks like hiring and promotions. CHROs will find this episode essential for building a future-ready culture that embraces both high-tech tools and deep human connection. Watch the full video on YouTube ---------- Start your day with the world's top leaders by joining thousands of others at Great Leadership on Substack. Just enter your email: ⁠⁠https://greatleadership.substack.com/ Quick heads-up: my new book, The 8 Laws of Employee Experience, is a practical playbook for building an environment where people do their best work—order a copy here: 8EXlaws.com

April 10, 2026: Andreessen Horowitz just released hard data showing nearly a third of the Fortune 500 has live AI deployments — and the pattern underneath reveals exactly which jobs and functions are next in line. Then: Gallup says global employee engagement just hit a five-year low, and I'm going to argue that metric is fundamentally broken and why your board should stop asking for it. Plus, Microsoft Research coins a term you'll be using by tomorrow — "workslop" — and reveals the hidden social penalty employees face for using AI openly. McKinsey adds a critical wrinkle: your most AI-fluent employees are your biggest flight risk. And a new Wharton study finds that 80% of people follow wrong AI answers with complete confidence — and feel better about themselves while doing it.

April 9, 2026: Meta had a big week. The company launched Muse Spark, its first model from a completely rebuilt AI team, framing it as the opening move toward personal superintelligence. And internally, employees were competing on a secret leaderboard tracking exactly how many AI tokens each of the company's 85,000 workers consumed — with titles like "Token Legend" awarded to the top users. Their CEO didn't crack the top 250. We break down what both stories mean for the future of work, plus why Lowe's just committed $250 million to skilled trades training and why OpenAI and Anthropic are building AI models too dangerous to release to the public.

April 8, 2026: A major new survey finds that 44% of Gen Z workers admit to actively sabotaging their company's AI rollout — and the real story isn't what you think. Second, Anthropic just announced Project Glasswing, a landmark cybersecurity initiative built around an unreleased AI model that autonomously found vulnerabilities hiding in critical software for up to 27 years — flaws that thousands of expert researchers missed entirely. And third, a New York Times investigation reveals Google's AI Overviews are wrong one in ten times — which sounds small until you do the math at five trillion searches a year. Jacob breaks down what each of these stories really means for the future of work, and why the most important insights are the ones the headlines are missing.

April 7, 2026: Sam Altman published a 13-page blueprint this week arguing capitalism won't survive superintelligence — and proposing robot taxes, a public wealth fund, and a 4-day workweek. Goldman Sachs says AI is erasing 16,000 U.S. jobs a month, with Gen Z taking the hardest hit — but a second Goldman report says the macro unemployment impact is just 0.1%. Brands are slapping "no AI" labels on their content as consumer trust erodes and a broader societal backlash builds. And software engineering jobs just hit a three-year high in the middle of the worst tech layoff quarter since 2023. Today's episode breaks down what's actually happening — and what leaders need to do before the headlines catch up to the reality.

Preparing a global team for a world that changes by the minute can feel like a race against time, especially when 80% of jobs face major shifts by 2030. In this episode, we tackle the challenge of turning that fear into a high-performance culture that stays ahead of the technology curve. Tracy Platt, CHRO of Newell Brands, joins us to explore top strategies for AI adoption, focusing on the move toward "agentic commerce" and the urgent need for AI literacy across the whole company. We also unpack simple ways to put AI into daily work, like cutting performance management review times from two hours down to 30 minutes. Our discussion highlights the shift from tracking vanity metrics to measuring real business results and why human judgment is the ultimate guardrail for AI-driven work. Tracy shares how managing ambiguity has become the most valuable currency for modern leaders in this brave new world. For CHROs, this episode is your clear roadmap for leading your talent strategy and workforce planning through the rapid evolution of the future of work. Watch the full video on YouTube ---------- Start your day with the world's top leaders by joining thousands of others at Great Leadership on Substack. Just enter your email: ⁠⁠https://greatleadership.substack.com/ Quick heads-up: my new book, The 8 Laws of Employee Experience, is a practical playbook for building an environment where people do their best work—order a copy here: 8EXlaws.com

April 3, 2026: Two major academic papers dropped today alongside fresh labor market data, and together they paint the clearest picture yet of what AI will actually do to the economy and to work. Stanford economists show that 87% of U.S. productivity growth since 1950 came from automation — and explain why AI's impact will be real but slower than the hype due to "weak links" in production. A Chicago Fed forecasting paper reveals that even expert economists admit the range of outcomes is genuinely wide. On top of that: AI is now the #1 cited reason for tech layoffs, a new Forrester study finds most workers still don't know how to use the AI tools their companies deployed, Jack Dorsey argues AI should replace middle management entirely, a startup built an AI coworker that monitors your work and reports to your boss, and OpenAI just bought a media company to control the narrative. Seven stories, one through line: the disruption is real, the timeline is uncertain, and the window to prepare is open right now.

April 2, 2026: A landmark MIT study out today challenges the AI job apocalypse — and the data lands somewhere more optimistic than the headlines suggest. Then: the "AI washing" debate exposes a harder truth — with Gallup data showing only 21% of employees are engaged globally and $438 billion in annual productivity losses, most large companies were already carrying 10 to 20% more workforce than they needed long before AI arrived. The Wall Street Journal profiles the real people filling 640,000 new AI-created jobs — from a 25-year-old Head of Human AI Solutions to a pathologist earning $75K on the side training medical AI. And CHRO pay at S&P 500 companies just surged 30% — what boards are really pricing in when they write those checks.

The first quarter of 2026 was not just a collection of headlines. It was a definitive "hard reset" for the global workforce, marking the moment where the gap between legacy systems and the new AI-driven reality finally collapsed. In this episode of Future Ready Leadership, we're revisiting the top stories that made it to our Best of the First Quarter edition. We start with the trillion-dollar software sell-off, where the market's reaction to AI-driven workflows signaled a massive shift from humans performing manual tasks to supervising automated systems. This move toward radical accountability is further exemplified by Citigroup's declaration of the end of the "effort era," as CEO Jane Fraser mandated that employees be judged solely on measurable results rather than visible busy work. We then examine Amazon's internal talent mobility strategy, which reframes automation-related job changes as an opportunity for redeployment by giving staff 90 days to find new internal roles. This leads into a discussion on the reset of the HR technology operating model, as boards begin to question the value of traditional seat-based licensing now that AI is becoming the primary interface for data. Finally, we analyze Accenture's decision to tie promotions to AI usage, highlighting the need for a "human judgment receipt" to ensure leaders are rewarding actual performance improvement rather than mere "corporate theater". Watch the full video on YouTube ---------- Start your day with the world's top leaders by joining thousands of others at Great Leadership on Substack. Just enter your email: ⁠⁠https://greatleadership.substack.com/ Quick heads-up: my new book, The 8 Laws of Employee Experience, is a practical playbook for building an environment where people do their best work—order a copy here: 8EXlaws.com

March 27, 2026: Anthropic accidentally leaked Claude Mythos — its most powerful model ever — and the implications for cybersecurity and enterprise AI go far beyond a product announcement. America's top HR leaders gathered at the WSJ CPO Summit and delivered a blunt message: most companies are building AI agents completely wrong, and IBM learned that the hard way. JPMorgan has made AI adoption a formal, trackable performance requirement for 65,000 engineers — and it's a preview of what's coming to every large organization. And a new KPMG survey finds Gen Z wants the C-suite and a 5 o'clock logout — so we have an honest conversation about whether that's actually possible.

March 26, 2026: A California jury found Meta and YouTube liable for deliberately addictive platform design — and the legal framework they used is headed straight for enterprise AI. Salesforce freezes base salary raises for directors and above, shifting to equity as Big Tech quietly rewrites its compensation playbook. Indeed's Hiring Lab data shows 95% of job postings still don't mention AI — and why that number is a warning, not a comfort. And Meta's president drops a number that reframes the entire AI workforce conversation: half a million electricians needed, and we're nowhere close.