Everyone's rushing to add AI. I think the smarter move is to slow down for a second and look at what is actually landing on the desk.
It has been a particularly noisy week in the world of artificial intelligence. We’ve had major model releases, search feature announcements, and various "game-changing" updates that promise to rivolusionise how we work.
If you spend too much time on social media, you’d think we all need to bin our current workflows and start from scratch every Tuesday. But when you’re running a business or an agency, you don’t have time for the "new toy" tax.
You need tools that improve your business execution speed, not tools that give you another dashboard to ignore.
OpenAI SearchGPT: The End of the Ten Blue Links?
OpenAI finally blinked and announced SearchGPT. It is a prototype search feature designed to give you direct answers rather than a list of websites to go and visit yourself.
For businesses, this is a double-edged sword. If your current lead generation strategy relies heavily on search engine traffic, the "no-click" search reality is getting closer.
The perspective I’m taking with my clients is a shift toward brand authority. If the AI is going to summarise the web, you want to be the source it quotes. This isn’t about keywords anymore; it’s about being the most helpful answer in your niche.
If you’re worried about how your site looks to these new crawlers, getting some website feedback through the lens of AI search is a sensible move. We are moving from "searching" to "finding," and that’s a massive shift in user behaviour.
Meta Llama 3.1 and the Case for Local Privacy
Meta released Llama 3.1 this week, and the 405B model is a bit of a beast. It’s the first open-weights model that truly goes toe-to-toe with GPT-4o.
Most business owners hear "open weights" and their eyes glaze over. They don't care about the plumbing; they care about the water coming out of the tap.
But here is why it matters for you: Privacy and Cost.
With Llama 3.1, you can run high-level intelligence on your own servers. If you are handling sensitive client data where "sending it to San Francisco" is a legal headache, this is your solution.
It allows for a more robust beta testing strategy because you aren't paying per-token to a third party while you’re still breaking things in development. You can fail fast and fail cheap.
The Practical Side of AI Implementation Support
I’ve had two consulting sessions this week where the main frustration wasn't the AI itself, but the "implementation gap."
An agency owner told me they’d bought three different AI tools but their team was still doing 90% of the work manually. This is the "implementation tax."
We often buy software to solve a process problem, but software without a process is just a bill. Real AI implementation support isn’t about the tech; it’s about mapping out the five minutes of boring work that happens ten times a day and killing it with an automation.
If you’re looking for ways to streamline your own operations, I’ve written more articles on AI that focus on the "how" rather than just the "what."
Navigating Time Zone Alignment in a Global AI Market
As AI tools make it easier to scale, many agencies are finding themselves working across borders more than ever.
One recurring theme in my recent chats has been time zone alignment. It sounds trivial until you realize that your AI-powered lead gen is firing off responses at 3 AM your time, and your human team isn't around to catch the handoff.
The best AI setups I’ve seen lately aren't just "smart"; they are "aware." They know when the office is closed and adjust their tone or call-to-action accordingly.
If you are scaling globally, don't just automate the message. Automate the context of when that message is received. It’s the difference between a helpful assistant and an annoying bot.
Business Execution Speed: The Only Metric That Matters
At the end of the week, the new Llama model or the SearchGPT prototype doesn't matter if your business hasn't moved an inch.
I see too many people waiting for the "perfect" AI tool before they start. They are waiting for a version that is 5% better while their competitors are getting 50% more done with the "imperfect" tools available today.
The goal isn't to have the most sophisticated AI. The goal is to increase your execution speed.
- Can you draft a proposal in 10 minutes instead of two hours?
- Can you categorise client feedback in seconds instead of a whole afternoon?
- Can you run a beta test on a new service without hiring two new people?
If the answer is yes, you're winning. If you're still just "reading about it," you're falling behind.
Since it’s Thursday, I’d encourage you to get the free book which goes into more detail about the mindset shift required to actually make this stuff work in a real business environment.
A Quiet Word on the Future
We are living through a period where the "unprecedented" happens every Tuesday afternoon. It can be exhausting.
My advice is to ignore 90% of the announcements. Focus on the 10% that actually helps you finish your work an hour earlier.
The most successful people I know aren't AI experts. They are business owners who are very good at identifying which parts of their day are a waste of their talent, and then finding a way to make that part go away.
Stay curious, but stay focused. The tech is just the tool; you're still the one building the house.
I cover the latest AI releases and tools every Friday at steventann.com. If you found this useful, there's plenty more where this came from.
About the Author
Steven Tann is an AI consultant, author of "You're Selling AI Wrong", and founder of SalesM8. He writes about AI, sales, and running a business from a narrowboat on the English canals. Connect with him at steventann.com.
