Prompting Revenue

Forty-nine. That's how many Fortune 500 shareholder letters used the exact same sentence structure in 2023. By 2025, that number hit 208. Same four words, different companies, different industries, different leaders. Barron's clocked it before Brett did, and once you see it, you can't stop seeing it. This episode is about what happens when communication, the one function nobody expected AI to touch first, starts running through the same model at the same companies at the same time. Brett's argument is simple: AI didn't kill original thinking, it made the average version of it free. Which means the leaders who still have a real point of view just became the scarcest asset in the building. In this episode: [00:00] Cold open: the shareholder letter pattern Brett spotted, and the Barron's data that confirmed it [02:00] Why almost no executive predicted communications would be the first function AI reshaped, and why that was always backwards [03:30] The Cision/PRWeek 2025 number: 67% of senior comms pros already use generative AI, and why the real story isn't adoption anymore [06:00] The PowerPoint problem: Gamma's 70 million users, 400 million decks built, and why a board-ready deck in under 60 seconds stops carrying any signal [09:30] The Fortune 500 companies named for overusing "it's not X, it's Y," including Progressive, Coca-Cola, Cisco, Accenture, and McKinsey [12:30] Why a model is built to write the most probable sentence, not the most original one, and why that's the whole trap [15:00] Microsoft's number: 80%+ of Fortune 500 companies already running AI agents inside their workflows [17:30] The line between using AI and sounding like AI, and where most executives are crossing it without knowing [20:00] Why the rare, original point of view is becoming the most valuable thing in business, not the most replaceable [23:00] The one job no leader should hand off, and why the companies refusing to flatten are the ones who own the next decade [25:30] Why Brett built BUILD, and who it's actually for If you've read a press release, a pitch deck, or a LinkedIn post this year that felt like it could've come from any company, send this to the person who wrote it. New episodes every week on Prompting Revenue. Connect with Brett: Work with Brett: https://brettjansen.ai/workwithbrett Join the BUILD Community: https://brettjansen.ai/community LinkedIn: linkedin.com/in/brettjansen

More than a million people a month type the same five words into Google. Most of what they find is either panic or false comfort. This episode is neither. Brett pulls the actual data not the headlines and shows why the numbers are being read backwards. AI-attributed layoffs rank fifth among the real reasons companies cut jobs in 2026. Layoff announcements are running 43% below this time last year. Unemployment is sitting in the low 4s. That is not a collapsing labor market. But something real is happening, and Brett names it precisely: AI is not eliminating jobs. It is unbundling two things that have always traveled together doing the work and owning the outcome. The price of doing the work is collapsing to near zero. The price of owning the outcome is not. That one shift changes everything about how you should be positioning yourself in the next 18 months whether you are a BDR, a mid-career VP, or an executive trying to figure out which of your people will still be standing. In this episode: [00:00] Cold open: the five words a million people search every month and why they're asking the wrong question [01:30] The Oracle layoffs, the AI excuse, and why Brett has personal history with this one [04:00] The Stanford data: why AI hit workers aged 22–25 hardest and what it actually means for entry-level roles [07:00] The real layoff numbers: what the media won't tell you about 2026 [09:30] Jevons Paradox, the World Economic Forum's 2030 forecast, and why the CEO who gave us the scariest number quietly walked it back [12:00] The unbundling: doing the work vs. owning the outcome, and why that single distinction is the most important sentence in this episode [16:00] Why AI-generated LinkedIn outreach is embarrassing your sales team and what it should be doing instead [19:00] Entry-level jobs were never careers. They were rungs. And the rungs are being sawed off. [22:30] The three moves that make you sticky in this market right now [26:00] Why Brett built BUILD and what it is for [28:00] The only question that actually matters: are you willing to own something AI cannot? If this changes how you think about your role or your team in the next cycle, send it to one person who is still trying to out-skill the machine instead of out-owning it. New episodes every week on Prompting Revenue. Connect with Brett: Work with Brett: https://brettjansen.ai/workwithbrett Join the BUILD Community: https://brettjansen.ai/community LinkedIn: linkedin.com/in/brettjansen

November 30th, 2022, a research lab with fewer than 800 employees put a chatbot on the internet. One million people signed up in five days. A hundred million within two months. No consumer product in history ramped that fast. This episode is the full picture of OpenAI, how it got into the lead, what it's actually building behind ChatGPT, and the very real cracks underneath one of the most valuable companies the private markets have ever produced. In this episode: [00:00] Cold open: the ChatGPT launch that put AI on every board agenda in the world [01:30] The origin story: how a nonprofit AI safety lab became an $800B capped-profit company and why Elon Musk left and sued [04:00] The November 2023 board crisis: OpenAI fires its CEO, un-fires him in four days, and reshapes the entire board by end of week [06:00] The full product footprint: ChatGPT, the API processing 15 billion tokens per minute, Codex, Operator, and the Sora discontinuation [09:00] Stargate: the $500B infrastructure bet that is building more compute power than some major cities [11:00] What's in the brochure vs. what you need to know: OpenAI is not profitable and does not expect to be for several more years [13:00] The lead is narrowing: ChatGPT's share of AI web traffic dropped from 86% to 64% in roughly a year while Google Gemini climbed 21 points [15:00] The Sora lesson: what it actually means when a vendor pulls a flagship product overnight and breaks the workflows of hundreds of companies built on top of it [17:00] Takeaway: the question is not "is the product good?" It's "do I understand the business I'm betting on?"   If this changes how you think about the AI vendor decisions your organization is making right now, send it to one leader who is about to standardize on a platform without asking the harder questions. New episodes every week on Prompting Revenue. Connect with Brett: Work with Brett: https://brettjansen.ai/workwithbrett Join the AI Build Community: https://brettjansen.ai/community LinkedIn: linkedin.com/in/brettjansen 

60% of corporate America is stuck in early AI experimentation with no clear path to scale. They bought the tools. They skipped the strategy. This episode breaks down why the bottleneck was never the technology, it's the people, the culture, and the gap between what leadership thinks is happening and what employees are actually experiencing. In this episode: [00:00] Cold open: organizational culture accounts for more than twice the variance in AI outcomes compared to the tools themselves [01:30] The pattern: 60% of organizations are stuck in experimentation with adoption under 10% [03:00] The transformation paradox: companies adopting AI at record speed without redesigning the structure around it [06:00] The communication gap: 69% of C-suite leaders say they've clearly communicated their AI strategy, only 12% of employees agree [09:00] Why handing AI to HR or IT is the wrong move and who should actually own it [12:00] The six differentiators of AI-ready organizations: literacy, psychological safety, leadership alignment, measurement, workflow redesign, and change management [16:00] Takeaway: the question isn't whether your people are using AI, it's whether they're using it well If this reframed how you think about AI adoption inside your org, send it to one people manager who's still waiting for IT to figure it out. New episodes every week on Prompting Revenue. Connect with Brett: LinkedIn: linkedin.com/in/brettjansen  Build Community: https://build.brettjansen.ai/ Work with Brett: https://brettjansen.ai/workwithbrett

The International Energy Agency just put a number on something most leaders are already paying for and almost none of them can see. AI data center electricity use jumped 50% in a single year. That cost doesn't stay in a data center, it lands in your renewal pricing, your usage caps, and the strategic bets you're about to make for 2027. This episode goes underneath the software layer to the physical one the whole thing depends on. In this episode: [00:00] Cold open: 50% surge in AI data center electricity in a single year [01:30] The pattern: why every AI query your team runs is a physical event somewhere [03:00] The IEA numbers: data center consumption doubling to 945 terawatt-hours by 2030 the equivalent of Japan's entire electricity grid [06:00] The investment signal: the five largest tech companies spent $400B on data center capex in 2025, projected to rise 75% by end of 2026 [08:00] What this means for your budget: renewal pricing, usage tiers, and the cost line most leaders haven't named yet [11:00] Why this stopped being a climate story and became a national infrastructure story [13:00] The rebound effect: per-task cost is falling, but total consumption only goes one direction once a tool gets embedded [15:00] Two questions every executive should sit with before approving the next AI line item If this reframed how you think about the AI tools you're buying, send it to one executive who's about to sign off on an AI budget. New episodes every week on Prompting Revenue. Connect with Brett: Join the Build AI Community: https://build.brettjansen.ai/ LinkedIn: linkedin.com/in/brettjansen  Work with Brett: brettjansen.ai

A sales team found $2.5M in new pipeline without hiring anyone or buying a new list. They pointed AI at their call recordings. An 82-year-old bank freed up 70% of its people's time. A grocery chain used AI to figure out how many bananas to stock. Three companies with nothing in common made the exact same move and this episode shows you how to make it inside your own business. In this episode: [00:00] Cold open: $2.5M in new pipeline from data the team already had [01:30] The pattern: one software company, one 82-year-old bank, one grocery chain, same move [03:00] Workato: how an AI agent listening to closed-won calls built a sales curriculum and unlocked $2.5M in new opportunities [06:00] Bradesco: how an 82-year-old Brazilian bank freed up 70% of staff time by pointing AI at fraud and repeat customer questions [09:00] SPAR: how a 1,500-store grocery chain used AI to predict demand store by store and got it right 90% of the time [12:00] What all three had in common: high-volume, repetitive, expensive if you get it wrong [14:00] Takeaway: what is the most expensive, highest-volume, most repetitive process in your business right now? If this was useful, send it to one person who owns a number or is responsible for an expensive problem. New episodes every week on Prompting Revenue. Connect with Brett: Join the Build AI Community: https://build.brettjansen.ai/ LinkedIn: linkedin.com/in/brettjansen  Work with Brett: brettjansen.ai

87% of sales organizations are already using AI which means AI is not your advantage anymore. This episode breaks down where AI actually moves the number in a complex sales environment, the PLT framework that separates teams saving time from teams growing revenue, and the one question every board member should be asking their CRO before approving another dollar of AI budget. In this episode: [00:00] Cold open: the best salespeople are using AI quietly and buyers can already tell the difference [01:30] The pattern: AI lowered the floor and raised the ceiling at the same time [04:00] The reframe: if your only AI story is "we generate more outreach faster," you just pissed off your entire market [06:30] Where AI actually moves the number: the 8 highest-return workflows in sales [09:00] The stat leaders skip: 72% of sales orgs save time with AI and reinvest it into nothing of high value [12:00] PLT, Proof, Like, Trust: where AI is exceptional, where it buys back time, and where it's dangerous [16:00] Takeaway: the one question to ask your CRO before approving another dollar of AI budget If this was useful, send it to a sales leader still measuring AI by hours saved instead of deals won. New episodes every week on Prompting Revenue. Connect with Brett: Join the Build AI Community: https://build.brettjansen.ai/ LinkedIn: linkedin.com/in/brettjansen  Work with Brett: brettjansen.ai

A 10-person company just out-executed a thousand-person competitor, same market, same month. The advantage wasn't better AI. It was fewer people standing between the idea and the implementation. If you run a lean team, this episode tells you exactly where to point AI first and what to ignore until you're ready. In this episode: [00:00] Cold open: the 10-person team that beat the thousand-person one [01:30] The pattern: small companies pulling ahead and the Nvidia data backing it up [04:00] The reframe: your growth problem probably isn't a staffing problem [06:30] Why this matters now: 64% of organizations are deploying, 28% are still assessing, and the gap is widening [09:00] What it means for you: the 30-day plan, find the drag, measure it, pick one workflow, cut before you add [11:00] Takeaway: clarity first, tool second, always in that order If this landed, send it to one person who runs a lean team and thinks their problem is headcount. It's probably not. New episodes every week on Prompting Revenue. Connect with Brett: Join the Build AI Community: https://build.brettjansen.ai/ LinkedIn: linkedin.com/in/brettjansen  Work with Brett: brettjansen.ai