The Skills Commerce Needs Next: Workforce, Automation, and AI Opportunity

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Speaker B: We welcome to Copilot Podcasts. Here's something that should stop you mid scroll the next customer Browsing a retailer's store might not be a human at all. It might be software. An AI agent shopping on someone's behalf, reading product data, comparing prices and making decisions before a person ever opens a tab. Today we're breaking down five EPMACE shifts from the September 10, 2026 workforce development report covering retail, AI, warehouse automation, cross border payments, privacy, governance, and what's being called agentic commerce. By the end of this episode, you'll understand what's actually changing on the ground right now, which skills are becoming genuinely valuable, and why the most important design decision in all of this is still deeply human. I've got someone here who's been deep in this report and I want to start with the big picture because five shifts in one report.

Speaker A: So the first thing worth saying is that this report is deliberately grounded in what's already happening, not what might happen someday. Gap, Dollar General, Ulta Beauty, Kohl's. These are retailers describing AI deployments in their actual earnings calls right now. Chatbots, predictive models, Agentix systems. The report calls it retail's AI operating system. And I think that framing is useful because it's not one robot in one warehouse. It's coordinated deployment across supply chains, customer discovery, internal productivity, and personalized offers.

Speaker B: So it's less the robots are coming and more the robots are already clocked in Exactly.

Speaker A: And ULTA specifically highlighted AI supported sourcing, richer product information and an on site shopping agent. Kohl's reported encouraging early signs from its shopping assistant, stronger conversion and revenue per visit. These are measurable business outcomes, not pilot programs buried in a press release.

Speaker B: Okay, so the business case is already being made. But here's what I keep wondering. What does this actually mean for the people working in these stores and these systems? Because AI is being deployed. Sounds very different depending on whether you're the one deploying it or the one working next to it.

Speaker A: That's the right question. And the report is pretty careful here. It says the transition changes tasks before it conclusively changes total employment. So retail teams are going to need people who can monitor AI recommendations, investigate exceptions and explain system outputs. Store knowledge stays valuable because models cannot automatically understand every local customer or every operational constraint.

Speaker B: That's actually a more nuanced take than I expected. It's not your job is gone, it's your job is different.

Speaker A: Right. And the World Economic Forum's evidence, which the report cites, identifies AI, big data, cybersecurity and technology literacy as fast growing capabilities. But it also emphasizes analytical thinking, resilience, curiosity and lifelong learning. So it's not just technical skills, it's the disposition to keep adapting.

Speaker B: I want to push on something though, because there's a version of this story where AI handles the routine stuff and humans do the interesting stuff. Sounds great in a report, but plays out very differently on an actual warehouse floor. Is the report honest about that tension?

Speaker A: It is, actually. There's a line I keep coming back to installing AI before cleaning your data doesn't make you smarter, it amplifies your errors. So the competitive advantage isn't the AI itself. It's the disciplined integration, measurement and human review around it. That's a real warning embedded in an optimistic report.

Speaker B: That's a really important distinction. Garbage in, garbage out, just faster, faster and at scale.

Speaker A: And retail dives. Reporting, which the report references, shows retailers combining customer tools with foundational data work and supply chain improvements simultaneously. So the smart one just bolting AI onto broken processes.

Speaker B: Okay, let's move to the second shift because this one is fascinating to me. Nuuly, which is Urban Outfitters rental apparel business, expanded its Kansas City area facility to 1 million square feet. That's a massive physical investment. What's the workforce story there?

Speaker A: So Nuuly is a really useful concrete example because rental apparel is genuinely harder than traditional fulfillment. Management said the facility can support up to 600,000 subscribers and they have additional garment storage automation scheduled for September, automated sortation planned for Q4, and an automated picking solution planned for mid next year. That's a phased rollout, which matters.

Speaker B: Why does the phased part matter? Specifically?

Speaker A: Because it gives workers and leaders time to learn before every process changes at once. And here's the thing about rental apparel that makes it uniquely complex. Every garment has to return, be assessed, processed, located, and matched to another customer. It cycles through shipping, receiving, laundering, inspection, storage, and redistribution repeatedly. The report calls it fashion's second journey. And that second journey is full of

Speaker B: exceptions, stains, damage, fit questions. Things a machine can't just automatically resolve.

Speaker A: Exactly. So the workforce shift the report describes is from repetitive movement toward orchestration and exception handling. Employees may spend more time reading system status, resolving jams, auditing pics, or protecting garment quality. Gartner, which the report cites, identifies physical AI, intelligent simulation, and polyfunctional robots as influential supply chain technologies. But Gartner also stresses trust, governance, accountability, and measurable value alongside autonomy.

Speaker B: I want to flag something here because I think it's easy to gloss over. There's a real difference between automation supports workers and automation sets the pace for workers. And the report seems aware of that.

Speaker A: Very aware. There's a direct line in the report. Automation should not become an excuse to hide unrealistic pacing or eliminate worker feedback. And it goes further. It says a human centered operation treats experienced associates as process experts during system redesign. That's not just a nice sentiment, that's a design principle.

Speaker B: That's the kind of thing that sounds obvious when you say it out loud, but gets ignored constantly in practice.

Speaker A: Constantly. And the skills the report recommends for this environment are interesting. Process mapping, barcode and RFEI concepts, inventory accuracy, dashboard interpretation, structured problem solving. It's not learn to code, it's learn to read the system and know when to escalate.

Speaker B: Okay, let's shift to payments, because this one surprised me. Phonepe and Visa announced three connected capabilities at, uh, Global FinTech Fest on September 9th. Walk me through what they actually announced.

Speaker A: So there are three pieces. Tap to Pay begins a phased rollout for eligible Visa cards on compatible Android devices. Cross Border Scan to Pay is intended for supported AH QR codes across 14 overseas markets. And Smart Accept lets compatible smartphones receive contactless card payments without separate point of sale hardware. The report's headline for this one is that the payment terminal is shrinking into the phone.

Speaker B: Smart Accept is the one that jumps out to me because removing the hardware barrier for small merchants is genuinely significant. That's not a marginal improvement.

Speaker A: It's potentially A big deal for merchant inclusion. Yes. But the report is careful to note that availability still depends on the card device, merchant country and payment network. So the announcement is real, but the rollout is conditional. And cross border convenience doesn't remove foreign exchange or compliance complexity.

Speaker B: Right. The friction doesn't disappear, it just moves somewhere less visible.

Speaker A: Exactly. And McKinsey's research, which the report references, says speed, cost and security are becoming table stakes in international payments. But the same research sees payments embedding into accounting, procurement, treasury and reconciliation workflows. So this isn't just a consumer convenience story, it's a back office transformation story.

Speaker B: So what does that mean for the people working in payments and fintech roles?

Speaker A: Teams need people who understand tokenization concepts, API integr, transaction monitoring disputes and customer support. Cross border products also require awareness of sanctions, fraud controls, local acceptance rules and data handling. And finance teams increasingly need reconciliation skills because faster payment initiation does not guarantee clean accounting. The report puts it well, faster rails don't automatically produce cleaner books.

Speaker B: That's a really useful reframe. Speed creates new problems downstream if the infrastructure around it isn't ready to.

Speaker A: And McKinsey's analysis specifically emphasizes workflow, automation, multi rail orchestration and distributed compliance responsibilities. So the skill set is genuinely interdisciplinary. You need to understand the technology, the regulation and the customer experience simultaneously.

Speaker B: Let's talk about the privacy shift, because this one has a very specific timestamp. South Korea's amended Personal Information Protection act takes effect September 11, literally two days after the research date for this report. What's the significance?

Speaker A: The significance is the scale of the penalty and where accountability lands. The reform can raise penalties to 10% of total revenue for specified serious cases. And it strengthens executive and chief Privacy officer accountability for qualifying organizations. Proposed implementing rules address earlier breach notification, board approval, staffing and privacy protection investment.

Speaker B: 10% of total revenue. That's not a fine you bury in a quarterly report. That's existential for a lot of companies.

Speaker A: Right? And the report frames this as, uh, privacy, moving from a, uh, legal appendix into operational governance. There's also a notable detail about breach notification. Notifications may be required when objective facts indicate a likely breach before every affected person is identified. That's a much earlier trigger than most organizations are used to.

Speaker B: So you can't wait until you've fully mapped the damage before you have to say something. That changes the entire incident response playbook completely.

Speaker A: And the report connects this to the same week's cybersecurity warnings from the Billington Summit, which emphasized identity management, patching monitoring and multi factor authentication. Privacy and security are converging around the same operational requirements evidence, ownership, response, and accountable decisions.

Speaker B: What does this mean for workforce development? Specifically, because hire a privacy officer feels like an incomplete answer.

Speaker A: It's very incomplete, the report says. Workforce implications extend far beyond the security operations center. Privacy officers need technical fluency, while engineers need enough regulatory literacy to recognize sensitive processing. Identity specialists, incident responders, risk analysts, auditors, and data stewards must coordinate before crises, not just during them. And frontline employees need practical training on access, phishing, escalation, and approved data handling.

Speaker B: So it's not one role. It's a whole ecosystem of people who need to understand privacy as part of their actual job, not as a compliance checkbox.

Speaker A: Exactly. The report mentions ISC2's certified in cybersecurity as an entry level foundation covering governance, identity, cloud security, operations, incident response and privacy. ISACA's CISM for experienced managers and IAP's credentials CIPP, CIPM, CIPT M, which distinguish privacy law, program operations, and privacy engineering. But it's careful to say none of these is a guarantee of employment or regulatory compliance. Credentials support learning they don't substitute for supervised experience.

Speaker B: That's a responsible caveat that a lot of certification marketing conveniently leaves out.

Speaker A: Very conveniently. And the positive reading the report offers is that privacy investment increasingly rewards prevention, documentation, and responsible leadership. Mature organizations will treat data minimization and identity protection as design requirements, not cleanup. That's a cultural shift, not just a technical one.

Speaker B: Okay, let's get to the fifth shift, and this is the one that I think is the most mind bending. W3C and GS1 held a two day workshop in Zurich on September 8 and 9 specifically about commerce for humans and AI agents. What was actually on the agenda?

Speaker A: The agenda covered a lot ucp, acp, Web, MCP authorization, product data accessibility, payments, and agent identity. Google presented a session on ucp, framing it as an open protocol for standardizing commerce interactions across businesses and providers. Shopify presented production experience across millions of merchants, including interoperability and attestation gaps. And there were sessions on blind shoppers, physical products, consumer protection, and human oversight.

Speaker B: Wait, Blind shoppers were explicitly on the agenda at, uh, a workshop about AI commerce protocols.

Speaker A: Explicitly. And I think that's actually one of the most important details in the entire report. The W3C workshop paired interoperability with trust authorization, auditability and oversight throughout. Accessibility wasn't an afterthought, it was baked into the conversation about what agenic commerce should actually be. The report notes that agenic Shopping should expand participation rather than narrow it.

Speaker B: That reframes the whole thing. It's not just can the AI agent buy stuff efficiently? It's does this system work for everyone, including people who relies on assistive technology?

Speaker A: Right. And, um, P&G's contribution to the workshop is worth highlighting. They called for structured, trustworthy, interoperable and auditable product data. That's a statement from a major consumer goods company saying, if your product information isn't machine readable and accurate, you're going to be invisible to the next generation of commerce.

Speaker B: So the optimization game has fundamentally changed. It's not just about page design and SEO anymore.

Speaker A: The report puts it directly the next optimization contest is not only page design, it is trustworthy machine readability. And W3C says agents can summarize results, follow links and support activity before a person even visits a page. So retailers need product information that machines can interpret without misleading humans. That's a new discipline.

Speaker B: What does that mean for the people doing merchandising and analytics work?

Speaker A: Right now, analysts will need to separate human sessions from agent assisted discovery without inventing misleading attribution. Product teams must maintain identifiers, variants, inventory, pricing and claims across multiple channels. Platform managers will coordinate APIs, protocols, permissions, monitoring and rollback decisions, and customer experience. Specialists must preserve choice, explanation and accessible alternatives for people because the agent is acting on someone's behalf, not replacing their judgment entirely.

Speaker B: The rollback piece is interesting to me because if an AI agent makes a purchase on your behalf and it's wrong, someone has to be able to undo that. That's not a trivial problem.

Speaker A: Not trivial at all. The workshop explicitly addressed the final reversible moment before action, meaning there has to be a point where a human can still say no. And P&G's contribution emphasized consumer choice, transparency and correctable product representations. So the governance question isn't just can the agent do the thing, it's can the human undo it?

Speaker B: And the report didn't come out of Zurich declaring one finished universal solution, right? It was more honest than that.

Speaker A: Much more honest. The report says the event exposed the work still required, which is actually reassuring in a way. It means the people building these standards are aware of the gaps, not pretending they've solved everything. Shopify specifically flagged interoperability and attestation gaps from their production experience across millions of merchants. That's real world friction being surfaced in a standards conversation.

Speaker B: Okay, so let's zoom out. We've covered five shifts. Retail AI, warehouse automation at Nuuly, Foamp and M visa's payment capabilities, South Korea's privacy reform, and, um, the W3C and GS1 agentic commerce workshop. When you step back from all of this, what's the thread that connects them?

Speaker A: The report's closing word is orchestration, not replacement orchestration. Retailers are coordinating customer tools, product data, inventory, payments, security, and human judgment simultaneously. Warehouses need exception handlers. Payment systems need risk aware integrators. AI storefronts need trustworthy information stewards. Privacy and cybersecurity are becoming operating disciplines rather than specialist conversations held after deployment.

Speaker B: So the common skill across all five of these shifts isn't one specific technical certification. It's it's the ability to sit at the intersection of the system and the human consequence of that system.

Speaker A: That's exactly it. And the World Economic Forum's evidence, which the report leans on throughout, supports a balanced skills agenda combining technology literacy with analytical thinking, resilience, and lifelong learning. It's not learn one tool, it's develop the habit of learning as the tools keep changing.

Speaker B: Here's what I keep coming back to, Though there's a version of this story that's very optimistic and a version that's genuinely concerning, the report seems to lean optimistic. Is that warranted?

Speaker A: I think the optimism is earned, but conditional. The report is explicit that the hopeful future depends on safe design, training and credible productivity measurement. It says automation should not become an excuse to hide unrealistic pacing or eliminate worker feedback. And on the agentic commerce side, it says the hopeful future is not a market where algorithms make every decision. It's a market where software handles comparison while people retain goals, values, and veto power.

Speaker B: Veto power. That's a phrase worth sitting with.

Speaker A: It is because the question isn't just can the technology do this? It's who benefits, who remains protected, and who gets the opportunity to learn. The report ends on exactly that note. Those are the most important design decisions, and they're deeply human ones.

Speaker B: So here's what this really comes down to. We started this episode with the idea that your next shopper might be software. And that's true. The W3C and GS1 workshop in Zurich was literally designing the protocols for AI agents to navigate commerce on people's behalf. But what the September 10th report makes clear is that the most valuable career move right now isn't to compete with that software. It's to become the person who makes sure it's accurate, trustworthy, and accountable.

Speaker A: And that applies whether you're in a nuuly warehouse learning to read exception dashboards, a fintech team reconciling cross border QR payments across 14 markets, a privacy team preparing for South Korea's 10% of revenue penalty regiment, or a merchandising team making sure your product data is legible to an AI agent without misleading the human behind it. The skills are different, but the orientation is the understand the system, protect the human, and know when to escalate.

Speaker B: And the World Economic Forum's framing that the report keeps returning to analytical thinking, resilience, curiosity, lifelong learning. Those aren't soft skills in a world where the tools keep changing, those are the actual competitive advantage.

Speaker A: The report's final line is worth quoting directly. The future of commerce is increasingly automated, but its most important design decision remains deeply human. Who benefits, who remains protected, and who gets the opportunity to learn? That's not a closing platitude, that's a job description.

Speaker B: We started by asking whether your next shopper might be software. Turns out the better question is are you the person who gets to decide what that software is allowed to do? Thanks for joining us on Copilot podcasts. The five shifts are already in motion. The only question is which side of them you're on. Oh, I have had no luck lately. Wait. Lady Luck Gretzky. I got you. I've had so much luck on spinquest.com they have all of my favorite games. Slot games, live blackjack craps and bubble craps. You can even get a $30 coin pack for just 10 bucks. 10, um, bucks for 30.

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