Lead Not Lag

The mindset is shifting from “deploy when ready” to “deploy now and iterate”. For your GTM, emphasize speed and learning loops, not just flawless launches https://lnkd.in/eMdK_dwj

‘AI Amplifies Performance Gaps; Top performers will see exponential gains from AI augmentation while average performers struggle to adapt.’ That's what the SaaStr article says about the future of AI in Sales and GTM, predicting a massive bifurcation in seller performance by 2026. Read more to learn how to transition your team from AI augmentation (support) to AI orchestration (revenue engine)... https://lnkd.in/efPgeak7

2026 GTM is Signal-Led, Not Volume-Driven. The traditional "Predictable Revenue" model is failing B2B scaleups. AI is forcing a necessary pivot from chasing activity to timing precise, signal-led engagement. To win, leaders must: Stop looking at leads in a silo; use AI to map your Total Addressable Market and identify market intent before sales outreach. Prioritize Market Coverage—the number of engaged accounts—over simple activity counts (calls, emails). Elevate the human role to strategic consultant, letting AI manage data collection and timing for a perfect handoff. The takeaway: Outbound is no longer about shouting louder; it’s about using data to learn faster and act with better timing. https://lnkd.in/eZ94d3sq

~ AI agents and GTM execution.~ Stop visualizing lagging indicators. 2026 GTM success demands AI Agents to guide real-time action, turning insight into execution for measurable revenue impact. Read the full report to find out the top 15 sales technology trends that will impact GTM in 2026… https://lnkd.in/e9F7_H46

For SaaS Leaders: Which bucket does your organisation fall into? As we explore AI across our revenue cycle, we're finding a few key insights: FOMO-driven exploration: Trying multiple AI tools without yet seeing clear ROI—still in the assessment phase. Cautious progression: Holding back from full-scale deployment until proven AI results emerge. Strategic experimentation: Clearly defining the what, why, and expected outcomes as we pilot automated workflows throughout the GTM cycle.

Hype vs. delivery gap: With earnings under pressure and high AI spend, buyer scrutiny rises. In your GTM narrative, ditch the “future promise” script and lead with current metrics: cost reduction, revenue uplift, and concrete case studies. Tech giant earnings are coming under scrutiny amid concerns of an emerging AI bubble, despite approximately $400 billion being spent on AI infra this year. https://lnkd.in/eqhK6wxC

It's Her Day!!!🥳🎂 Please join me in wishing a HUGE, Happy Birthday to the Powerhouse that is Abi Williams. Her wisdom, intentionality, care, and focus drive us all. Today, we celebrate the heart, dedication, and leadership she brings to the table both on and off the field.🔥 She is the definition of leading, not lagging. Wishing her a day as vibrant and dynamic as she is!

Studies show “AI is frequently wrong.” For your GTM strategy, make sure your product narrative emphasizes accuracy, auditability, and responsible data sourcing—especially if you offer or leverage AI assistants. https://lnkd.in/eTjgwYHG

Even hypergrowth AI players burn fast. Revenue organisations must be proactive with unit economics and negotiate discount buffers for infrastructure/usage contracts. OpenAI H1 revenue grows 16% to ~$4.3B; burned ~$2.5B https://lnkd.in/eYvAcfs9

What if your 2026 roadmap started with momentum, not maintenance?💡 As Q4 budget conversations heat up, the question isn't just how fast you'll grow, but how efficiently you'll scale. You can't build an efficient future while dragging the dead weight of last year's GTM waste and misalignment. This persistent operational drag is the ceiling you need to shatter to reach your next level of growth. Real change doesn't come from fixing spreadsheets; it comes from achieving strategic clarity and tactics. Choose to enter the new year accelerating, not catching up. ➡️ What’s your strategic vision for 2026?