Welcome to my blog & free resources
This is more than just a feed of posts; my blog includes free resources to help you with
Coaching and improving your performance
Reshaping your career path
Understanding the so what is happening - like how to run an AI transformation project, AI blog for leaders and why the agentic web is the future of the web)
Thinking about the future
Understanding how Growth and Marketing are critical parts of your business
Scroll down for the most recent posts or click on the most popular posts or resources
→ How to be a successful CMO, a leader's guide to AI, why playing the game is essential in leadership,
If you’re wondering who I am without navigating around the site, here’s a quick overview about me:
Danny Denhard is a battle-tested executive growth, marketplace and AI transformation leader with 24+ years’ experience across Europe, North America, India and Australasia, who has run £500m+ P&Ls, scaled JustGiving’s crowdfunding from roughly $5.5m to $135m in annual volume, led post‑acquisition restructures, and worked with brands and leaders from the likes of Nike, BBC, McLaren, Cleo AI, Al Jazeera, VetAI, Gett, eBay, Farfetch, Tesco, TUI, and SimilarWeb.
What makes him unique is the combination of real operator scars and systems thinking: he has actually sat in the CMO/CGO seat, built and rebuilt growth, marketing and product organisations, and now plugs into companies as an executive coach, interim C‑suite leader, advisor and AI enabler, connecting strategy, product, data, org design and AI into one unified growth system, breaking silos, and installing no‑fluff, practical frameworks that turn board‑level ambition into measurable performance.
The Future Of Agents & Agentic
My rticle argues that we are moving from single, general AI assistants to a dense ecosystem of specialised agents that sit across work, wellbeing, operations and travel. On the positive side, work‑focused and agent‑to‑agent systems promise fewer pointless meetings, faster decisions, and better coordination across silos. Agent networks could absorb the admin and back‑and‑forth that currently overwhelms people and tools.
At the same time, it highlights the uncomfortable side: political games will not disappear, data ownership and access will become more contested, and new “news and network” agents may blur the line between helpful internal intelligence and invasive monitoring. The piece also looks ahead to vertical brand agents, multiplayer agents, the likely rise of agent app stores controlled by existing tech giants, and the need for strong guardrails, governance and trust layers if any…
Why AI Will Ultimately Push People Back To Experts
My article argues that AI has not replaced experts, it has distorted the path that leads to them. Generative tools collapse the middle of the buyer journey by giving fast, confident answers that feel like solutions, skipping over the uncomfortable “I need help” moment. Buyers ride a short‑term high, then hit a “good enough” plateau where generic advice stops working, trust drops, and progress stalls.
On one side, AI gives people language, frameworks and a sense of control. On the other, it delays real change, extends sales cycles and forces specialists to unpick bad assumptions. When buyers finally return to experts, they are more informed, more precise and far more serious about finding the right solution.
The opportunity for specialists is to stop selling basic education, speak directly to the breakdown point, and double down on high‑trust channels that AI cannot copy.
Everything Announced at Google IO & The Business Impact
Google is evolving into the AI-driven operating system of shopping, using Gemini and persistent agents across Search, Docs, and a Universal Cart.
This shift offers value (e.g., faster drafting, 'always-on digital staff') but creates major risks: reduced organic traffic via 'AEO', platform lock-in, and loss of customer data as Universal Cart intermediates transactions. CMOs must urgently diversify channels, tighten data governance, and redesign commerce playbooks to thrive in this AI-mediated environment where the Google agent is the new shopper.
Strategy Is Baking A Better Cake
Strategy is like baking: don’t just follow the old recipe.
Upgrade ingredients, tools, and methods; test, tweak, and iterate to create better results and outpace copycat competitors in an AI-driven world.
