6 Content Marketing Agencies in Dubai Beyond the Hype

Can Your Brand Stand Out Amidst the SaaS Marketing Tools Sprawl?

SaaS marketing doesn’t fail because of bad systems. It fails because of too many of them. What does a focused, anti-sprawl SaaS marketing tools stack should look like in 2026?

“The first problem is that your business operation gets defined by how the application runs, and that should never be the case. You should define what your business operations are, and software as a solution for it, not a cause for it.”

– Nintex’s Chief Product Officer

The last two decades witnessed a tool sprawl- it became a SaaS trend that every business was flocking towards. This pattern mirrors how many SaaS growth strategies mistake scale for progress.

Software, as opposed to talent, was seen as a quick fix, a solution to any niche business problem. Talent diminished under the weight of tool management. And it’s extremely challenging to converge a room of talent to build something enterprise production-grade.

The simpler solution? Each department within an organization adopted different SaaS applications that would solve its specific problem. This raises a pain.

App developers aren’t concerned about agility.

Most of these tools have this hard-coding that runs on the assumption that all businesses operate the same way. That limits the scope of any SaaS application from the get-go. It might contribute to a niche workflow, but remain fragmented from the overall business operations.

Each tool now holds trapped knowledge- how do you harness that? Through band aids and bubble gum?

And SaaS marketing isn’t immune to the tool sprawl, just because it’s closer to the business model. Instead, they must be more conscious.

The Case for Value-driven SaaS Marketing Tools

Especially after the advent of AI, marketing teams have been obsessing over which AI tool will serve them best. They think of it as the new bubble gum for their infrastructure. Tech stacks. Dashboards. Competitor analysis. Market research. Collaboration tools. Data analytics. Automation.

The list is endless. There’s a tool for literally everything a marketer wants to do. Overlapping features and messy subscriptions plague even SaaS marketing.

How do they create that balanced messaging- the balance between their own tech stack, and the promise they’re selling to their buyers?

There must not be a disconnect between the reality they practice and what they promise. There goes your differentiator. Tool sprawl quietly undermines long-term B2B SaaS marketing trust. You aren’t adding to your buyer’s sprawl because you entail the knowledge and practices of how to navigate one.

That’s crucial. Because when your own peers (competitors and buyers) are aware of this, it could be challenging to market a SaaS solution that only adds to their existing pile of applications, without a real bottom-line effect.

What would an Actually Effective SaaS Marketing Tools’ Box Look Like?

Research says that centralized knowledge bases can surge productivity by 30%. Because with structured documentation, resolution time smoothens, which influences efficiency overall.

But if the same enterprise knowledge ends up fragmented? That fragmentation eventually shows up in weak real funnel performance. It can kill productivity and subsequent outcomes. And your tech stack is a significant force in determining that.

Imagine you’re marketing a SaaS solution and your team leverages over 30 different cloud services (on average, the marketing department uses 120).

Each software has its own knowledge that’s trapped within it, while even the handoff isn’t smooth. That adds friction. And even the context switches- now the human marketers have to invest cognitive capacity to resolve the tangles. This is how SaaS inbound marketing turns into execution without judgment.

That’s the inversion of agency.

To illustrate why SaaS marketing tools selection matters, we present two different scenarios. The messaging to the C-suite audience remains the same-

You first define your business processes and then the pain points. The SaaS solution must be a solution to it. The agency remains in your hands- our solution doesn’t define your processes.  

These are the SaaS marketing tools in your imaginary martech stack:

1. Ahrefs or SEMrush for topic and research purposes.
2. Mutiny for message-testing and conversion potential.
3. Clearbit or 6Sense to outline account information.
4. Hootsuite for scheduling.
5. Customer.io for events and the buyer journey.
6. Sparktoro to gather buyer signals from Reddit and other niche platforms.

And then, all of these are integrated with GA4.

Scenario 1: The Observable Stack

In a case where all the above-mentioned tools are integrated with GA4, you get a single source of truth. The data isn’t forgotten, and your dashboard isn’t a graveyard of forgotten numbers. Visibility matters most when SaaS marketing budgets are under scrutiny. It connects your purpose to tangible outcomes.

• With Clearbit/6Sense, you have the whole picture in your GA4 reports- company names and buying stages. This shows you don’t follow anonymous clicks but chase a high-intent pipeline.
• With Mutiny/Wynter, every click, download, or website interaction is tracked into GA4. That spotlights how your brand assets are faring with customers- no black box marketing.
• With Ahrefs/SEMrush, you can align audience interest and search trends with real-time customer behavior. It’ll outline the gap or the bridge between what customers search and what they actually do.

This integrated tech stack creates a flow- it creates a central hub where your C-suite can observe. However, there’s a string missing, especially from the 2026 viewpoint.

GA4 is your lens. But your strategy still requires a data warehouse to offer scalable analysis across the data’s lifecycle- to transform data into AI to action quicker. And that’s a tidbit your CTO will ask you as soon as you present your tech stack- where’s BigQuery?

It’s an imperative in 2026 where strategies are directly driven by agentic AI, especially when it can immediately analyze your data and suggest changes across your email or SEO framework.

Beyond the integration buzzword, your C-suite will still see 7 different UIs and credit card bills. You can’t sell them integration that doesn’t follow any rational- it’s still a heap of applications that create a hefty stack. That mistake is baked into most modern SaaS marketing playbooks.

You must rationalize. Your existing tech stack might offer you a cleaner perspective on the marketing data, but it doesn’t eliminate what you don’t need.

You must cut the middleman. SaaS marketing tools such as Mutiny and Customer.io are replaceable by HubSpot and Salesforce, respectively. Because they consolidate numerous marketing processes into one. And are rather native to the platforms- integration is child’s play.

Think of SaaS marketing tools not in silos- but as an operating system. One that renders 50% of the buyer’s toolkit unnecessary. So, don’t merely think of connecting the tools; think of consolidating them.

And that takes us to our second scenario.

The Pruned SaaS Marketing Tool Stack We Propose (Scenario 2)

2026 isn’t about rerouting back to the tool sprawl. And it definitely isn’t about choosing the better tools. The strategy requires pruning- with purpose. You choose SaaS marketing tools that require less hand-holding and offer agency to the marketer.

1. Buffer: Social scheduling and distribution

Why: Buffer is all about authenticity, and so is social media in 2026. This tool doesn’t try to be everything at once- a CRM, social listener, and scheduler. You don’t need to add complicated management to your list, unlike Hootsuite, which is feature-heavy.

Buffer frees up your time to focus on the creativity part- content and storytelling, not dashboard management. 

2. Wynter: High-quality market research

Why: Teams convince themselves they understand their buyer. They internalize language. They ship positioning based on internal consensus, not external comprehension. Then they scale it across ads, landing pages, emails, and sales decks- only to wonder why nothing lands.

Wynter interrupts that loop.

Its value isn’t research volume. It’s friction at the right moment- before you scale messaging. Before you spend on traffic. Before your narrative calcifies across channels.

Wynter forces you to confront a hard truth: what you intend to communicate and what buyers actually hear are rarely the same thing.

3. Clearbit (now with HubSpot): Data enrichment

Why: Clearbit is not a data enrichment tool in the marketing sense most teams use it for. It’s not there to help you spam smarter. Its real value lies in restoring context to otherwise anonymous behavior.

When someone lands on your site, downloads a whitepaper, or revisits a pricing page, the raw event itself means nothing in isolation. Clearbit assigns gravity to that action. Industry. Company size. Growth signals. Tech stack. Hiring velocity.

All of this reframes the same click into a distinct intent narrative.

4. Customer.io: Central hub for customer engagement

Why: Most lifecycle tools promise personalization. Very few respect restraint.

Customer.io works when you stop treating it like an email automation engine and start using it as a behavioral orchestration layer. It reacts to what users do, not what marketers hope they’ll do.

Every SaaS product already generates signals. Feature adoption. Drop-offs. Inactivity. Re-engagement. Customer.io turns these signals into timing intelligence. Not just “send an email,” but why now, to whom, and with what context.

5. Ahrefs: Market research

Why: Ahrefs is often reduced to a keyword mining utility. That’s a waste.

At its best, Ahrefs is a demand sensing tool. It shows you what people are already trying to understand, solve, or compare- before they ever reach your product.

In SaaS marketing, this is critical. You’re rarely creating demand from scratch. You’re entering an existing conversation. Ahrefs helps you map that conversation with precision. What problems are persistent? What language buyers use. What topics plateau? What spikes briefly and dies.

When integrated with product and revenue data, Ahrefs becomes a feedback loop.

The Anti-Sprawl Philosophy for Your SaaS Marketing Tools Collection

Tool sprawl doesn’t happen because teams love software. It happens because teams avoid hard decisions.

Every SaaS marketing tool you add should answer one question clearly: What agency does this give my team that we didn’t have before? And if the answer is efficiency without clarity, it’s not enough. If the answer is automation without accountability, it’s dangerous.

The goal is not to own the most advanced stack. It’s to maintain strategic coherence as your company scales- fewer tools, clear roles, and observable outcomes.

In 2026, SaaS buyers are hyper-aware of bloat. They feel it internally. They recognize it externally. If your marketing stack is chaotic, your message will be too.

Prune aggressively. Consolidate intentionally. Let tools serve the strategy, not define it.

That’s how SaaS marketing regains its edge.

The SaaS Marketing Playbook: Trust, Not Leads, Is Your Only Currency in 2026

The MQL is dead, and attribution is a mirage. 2026’s SaaS marketing playbook demands a radical shift- are you brave enough to trust what you can’t measure?

Do your buyers really want a relationship with you?

The very nature of marketing is changing from transactional to relational. But what if only in theory? This tension sits at the center of modern B2B SaaS marketing principles.

Our ground-level reality and the published content pieces present two different worlds. Of course, buyer behavior evolves, but that doesn’t mean the intricacies of marketing itself are. The revamped SaaS marketing playbooks are a notch above the traditional ones- but have we stopped to consider in what ways? Inserting AI and automation in each messaging doesn’t do the trick. And neither does rapid tech adoption.

None of the playbooks actually stick. This is most visible in how SaaS inbound marketing has been diluted by automation and scale.

That’s why-

Your SaaS marketing playbook needs a transformation

Buyer trust remains at an all-time low. Trust across the board is down overall. But can you even blame the buyers?

AI slop can be discerned from a mile away. But there’s still a flurry of it that organizations continue to leverage to deliver immediate, short-term value. Even if your buyers aren’t here for merely the messaging, the “AI-ness” of it all is turning them away. You can have a strong solution to offer, but if it’s all curtailed behind the slop? You’d best believe your business is walking on edge.

Originality and human expertise are today’s differentiators.

Buyers are focusing more on peers and technical experts over marketing materials and top-down corporate messaging. The trust and credibility trends are leaning more towards “people like me”- third-party validation. And today, a blog about “5 ways to optimize your omnichannel marketing” will garner less appeal than “why email is the only channel that worked for me.”

They’re proceeding with caution- relationship-building isn’t on their priority list. Trust is- especially in B2B SaaS, a model built on a recurring foundation, unlike retail or construction.

What does all of this mean for your SaaS marketing playbook? Let’s take a deeper dive.

1. Information Inflation & The Proof Economy

Information inflation- this single phrase can offer you a mundane insight into why trust deficiency is a major theme to tackle in your 2026 SaaS marketing playbook. From trust-messaging to trust-delivery- the new mantra for modern lead gen has pivoted.

The cost of generating content is zero- all thanks to AI. Any startup or small business can create and publish the same number of blogs and whitepapers as Gartner or Salesforce. This is where content stops being a lead gen channel and becomes a publicity stunt.

While it’s well and good for SEO and awareness, your buyers care very little about how many blogs you published last month. They care about the insights, the claims you’re making. But for the routine B2B SaaS buyers, such claims carry no weight because, honestly, anyone can ask ChatGPT or Claude to generate them as of now.

This is precisely what led to the SaaS Sprawl of the early 2020s- the software bloat. But 2026 is helping CFOs redirect their strategy. The question isn’t “which tools can help us do even more,” but “which tools should be cut.”

To survive the cut, your marketing must pivot from information to proof. That’s at the crux for CMOs and CFOs alike.

If the Edelman Trust Barometer tells us anything, it’s that technical experts and peers are now the guardians of trust. Your corporate blog is viewed as propaganda until proven otherwise. The antidote to information inflation is founder-led sales and evangelist marketing, especially for SaaS startups.

You cannot automate trust.

You must put your engineers, your product managers, and your founders in front of the camera. When a buyer sees a real human explaining a complex problem, they lean in. Because buyers themselves are human- why would they resonate with a polished corporate animation?

The face of the B2B SaaS company is 2026’s marketing strategy.

2. The “Dark Funnel” Reality

If you’re building your SaaS marketing playbook around last-click attribution, you’re optimizing your company for irrelevance. Here’s the uncomfortable truth: the most profitable marketing activities in 2026 are invisible to your tracking software. And even the flurry of tech cannot change that.

RadiumOne data suggests that 84% of social sharing is dark social- it happens in private Slack communities, WhatsApp groups, Discord servers, and DMs. It occurs when your VP of Engineering asks a peer, “What are you using for CI/CD?” and gets a direct answer.

When that VP types your brand’s URL directly into their browser the next day, your HubSpot dashboard labels it as direct traffic. You pat yourself on the back for your strong brand-building strategies. But it can get worse- your team attributes it to the Google Ad they accidentally clicked three seconds before signing up.

This is the attribution mirage.

It leads marketing teams to cut the budget for the very things that actually work- podcasts, communities, and organic social. Because they don’t present an immediate and clear ROI on your dashboard.

But you don’t have to let your playbook drown in the drain. There’s a simple workaround.

The Fix:

1. Split the Funnel: Draw the line between capturing demand (Google ads, SEO) and creating it (podcasts, thought leadership). You cannot assess demand creation with a tracking pixel.
2. The “Self-Reported” Metric: Add a required free-text field to your demo request form asking: “How did you hear about us?” It can be surprising how many high-value enterprise deals assert they “heard you on a podcast” or “my friend recommended you.” All of this while your marketing software claims they came from organic search.

3. Un-gate Everything

The conventional SaaS marketing playbook was simple: gate your best content to receive an email. The nuance? A downloaded PDF doesn’t equate to a lead. It’s merely someone who wanted to read said PDF- competitor analysis or college research.

In 2026, gating content can become a friction point, or worse- a death sentence for your brand visibility.

According to Gartner, 75% of B2B buyers prefer an SDR-free sales experience. They want to research, compare pricing, and understand the technical specs without a 22-year-old rep breathing down their neck.

If you force them to book a demo” only to see the pricing chart or read a case study, they will simply move on to a competitor who doesn’t. It’s that straightforward.

However, the dilemma doesn’t end there. There’s a deeper, more technical reason to un-gate in 2026- AI agents.

Buyers are increasingly using AI agents, such as Copilots, to conduct their initial research. They just have to prompt their AI to “Find me the top 3 CRM tools for fintech and summarize their pricing.”

If your pricing and technical documentation are locked behind a form, the AI agent cannot scrape them. You’re missing from the buyer’s shortlist. This is a perspective you must insert.

Un-gating has become the technical compliance for the AI web. It’s not merely a marketing technique.

The Playbook Shift:

1. Consumption > Conversion: Your marketing goal is to have your ideal customer consume your content AND trust your expertise before they even talk to SDRs.
2. Retargeting Pools: Rather than capturing an email, capture a pixel. Leverage LinkedIn and Google retargeting to be present before people who actually want to read your high-value technical documentation.

4. Marketing to the “Invisible” Buyer

Most marketing teams are obsessed with capturing potential buyers. They spend 100% of their budget spamming the tiny fraction of the market that is ready to buy right now.

But according to the Ehrenberg-Bass Institute of Marketing Science, only 5% of B2B buyers are in-market to buy your solution at any given time. The other 95% are out of market, i.e., they are locked within contracts, happy with their current tool, or simply too busy to care.

If your SaaS marketing playbook focuses solely on lead gen that targets the 5%, you’re fighting a bloody war in a red ocean. You are competing on price and features for a tiny slice of the pie when the real money is in the 95%.

That’s where the mental availability comes in- the buying psychology that truly matters in today’s marketing landscape.

You should be marketing to people who cannot buy from you yet. You should be the voice they listen to on their commute, the newsletter they read on Sundays, and the LinkedIn post they share with their team.

Why?

Because eventually, that 95% will enter the market- the current contract will expire, or the current tool will break. When that trigger event happens, you must be top of mind. But if they have to Google “alternatives to [Competitor],” you’ve already lost.

The bottom line? Be the brand they type directly into the browser.

5. Retention is the New Acquisition (NRR > ARR)

In the growth-at-all-costs era, the hero metric was net new ARR. In the current efficiency era, that logic becomes a flaw.

HBR consistently cites that acquiring a new customer is 5 to 25 times more expensive than retaining an existing one. In a downturn, or a market saturated by the SaaS sprawl, retention is your only sustainable growth engine.

Your marketing shouldn’t stop when the deal is signed. A modern SaaS marketing playbook dictates that 30% of your budget must pour into customer marketing.

Focus on Net Revenue Retention (NRR). If your NRR is above 120%, your company grows 20% year-over-year even if you acquire zero new customers. That’s SaaS’s compound interest.

Tactics for 2026:

1. Run a “features you might’ve missed” webinar series for existing customers.
2. Curate case studies specifically designed to upsell existing clients to higher tiers.
3. Treat your customer base as your most potent marketing channel. Happy customers in private Slack groups are worth more than any Google Ad campaign you will run.

Mantra for Your SaaS Marketing Playbook: Be Truer, Not Louder

The traditional SaaS marketing playbook offers a seductive promise: If you put $1 into the machine, you can track precisely where the $2 comes out. That’s how the recurring model works.

That promise is now a lie.

The most valuable assets you have- brand reputation, dark social word-of-mouth, and community trust- are precisely the things your attribution software cannot see or assess. And in 2026, marketing teams must accept that reality.

If you continue to manage your SaaS marketing playbook based on MQL volume and last-click attribution, you will optimize your company into obscurity. You’ll cut the podcast because it “doesn’t convert,” kill the community because “it’s hard to measure,” and gate your content because “we need emails.”

Meanwhile, your competitor will be building a media engine that distributes expertise- for free. They will occupy the dark funnel where your buyers actually live. They will accept the messiness of the 2026 buyer journey. And come to understand the new rule of B2B SaaS:

The only competitive advantage left is a genuine human connection in the AI era.

Your next move isn’t to find a better tool or a cheaper ad channel. It’s to have the courage to build a brand that doesn’t need to capture leads because it’s too busy engaging them.

Tear up the old SaaS marketing playbook. The market has already moved on.

AI SaaS trends 2026

AI SaaS trends are deceptive. Absolutely no one can tell you where they are going- or what’s going to happen to AI. Maybe it will follow the ‘.com’ curve. Explode, reiterate, and come back new and improved.

Or maybe the SaaS models might disappear because of this AI boom- everything is just Claude, ChatGPT, and Gemini. No API calls and wrappers- no SaaS solutions posing as AI. Let’s see where it leads us.

Believe it or not, SaaS AI trends are following the same path as Go.

Go is a fascinating game embodying the art of war and Zen. The game is simple to understand, complex to play. It takes a savant to be good at Go.

In 2016, AlphaGo defeated the world champion, Lee Se-dol. It was a historic moment for AI; it had effectively learned to play a game that was entirely creative.

And then, in 2017, it defeated Ke Jie- another prodigy and grandmaster.

In his own words: –

“After humanity spent thousands of years improving our tactics, computers tell us that humans are completely wrong… I would go as far as to say not a single human has touched the edge of the truth of Go.”– Ke Jie.

Then came AlphaGo Zero, far surpassing everything before it. A historic moment, to say the least. For AI and humanity.

And this has everything to do with what’s happening in SaaS. Let us explain.

The Trends that will dominate AI SaaS in 2026 and beyond.

Trend 1- Reasoning beyond LLMs

Okay, let’s start with LLMs first. They are inherently limiting. And unlike AlphaGo, it is uncreative.

Unfortunately for SaaS, many companies have hedged their bets on LLM wrappers. AI-powered tools that you see in the market are API calling wrappers.

Just modified to suit your business case. And you know the ROI on that one.

But why is that? Well, even agentic models work on LLMs, which by their very nature go to the mean. They optimize for the statistically most likely output. Which means every SaaS wrapper using the same foundation model will converge on the same solution. There’s no differentiation. No moat. Just a race to zero margin on API costs.

It is a recursive system; while it is called autonomous, it isn’t so. What the system does is this: You train it on data, it learns from past data, and uses it to predict what’s likely.

It’s really good at that. But LLM agents won’t really know what to do- that’s why Salesforce is currently in a bit of a pinch.

Trend 2- AI Agents Will Handle Customer Interactions

This isn’t that big of a prediction- Intercom is a great AI SaaS tool. But what comes after this? Customer service is one of the biggest markets- recently, Nvidia launched PersonaPlex, an AI agent that can mimic human voice and expressions.

The industry is betting big on this. 40-60% of initial customer interactions will be handled by AI agents by the end of 2026. That’s the number everyone’s throwing around.

But here’s the thing about those interactions. If they can be automated, what were they in the first place?

Customer service has been a massive market for decades. Entire companies are built around the idea that these conversations matter—especially as part of a broader SaaS strategy. That they create value. That human-to-human interaction is what drives retention.

And maybe it does, for some of it. But 40-60%? That’s not edge cases. That’s the majority.

Which means most of what we call “customer success” has been pattern matching all along. The workflows, the playbooks, the interaction maps- they were already algorithmic. We just needed humans to execute them because the technology wasn’t there yet.

Now it is.

NVIDIA’s PersonaPlex doesn’t just answer questions. It mimics a human voice. Human expressions. The interaction becomes indistinguishable from a real person on the other end.

So what exactly are we paying for when we pay for customer service SaaS? Is it the solution? Or is it the performance of caring?

Customer service SaaS built empires on managing these interactions. The question is whether those interactions needed managing, or whether we just accepted that they did.

Trend 3- Usage-Based Pricing is Taking Over

You’re seeing this everywhere now. Credits instead of seats. Pay-as-you-go instead of fixed monthly costs. The industry is calling it “better value alignment.”

And look, there’s logic to it. Why pay for ten seats when only six people use the tool regularly? Usage-based pricing makes sense on paper.

But there’s something else happening here that’s worth paying attention to.

Per-seat pricing had a ceiling. You knew what you were spending. You could budget for it, plan around it. Five seats, ten seats, a hundred seats- the cost scaled predictably.

Usage-based pricing doesn’t have that ceiling.

The more you use the tool, the more you pay. Which sounds fair until you realize that successful adoption means increasing costs. The better the tool works for you, the more dependent you become, the higher your bill climbs.

It’s not a one-time investment anymore. It’s not even a predictable subscription. It’s variable, consumption-based, and it scales with dependency.

Companies are shifting to credit systems now. You buy a bundle of credits, burn through them, buy more. It feels flexible. But it also means you don’t really know what you’re spending until you’re already spending it.

And here’s the question nobody’s asking: if the value was really aligned, wouldn’t your costs go down as you got better at using the product? Wouldn’t efficiency reduce consumption instead of increasing it?

Usage-based pricing isn’t necessarily predatory. But it does change the incentive structure. The vendor wins when you use more, not when you solve your problem.

Trend 4- The Hybrid Model (SaaS + AI Agents)

The prediction is that winners in 2026 won’t be pure AI or pure SaaS. They’ll be hybrid. Traditional SaaS infrastructure combined with AI agent capabilities.

It makes sense strategically. SaaS companies have the distribution, the customer base, and the enterprise relationships. AI startups have the technology but not the trust. Put them together, and you get the best of both worlds.

At least that’s the pitch.

What’s actually happening is more interesting. SaaS companies are adding AI features to stay relevant. AI companies are building SaaS wrappers to look legitimate. Both sides need each other because neither can win alone anymore.

The result is a product that charges you for the platform and the AI separately. You’re paying for the infrastructure and the intelligence. Two revenue streams from one dependency.

And that dependency goes deeper than it used to. The AI agent runs in their environment. It talks to their API. Your data flows through their systems. The customization you build on top of their agent only works within their ecosystem.

You’re not just locked into a product anymore. You’re locked into an entire stack.

Maybe that’s fine if it solves real problems. But here’s what’s worth watching: as AI makes it easier to build custom solutions, the question shifts. Why buy the hybrid platform when you could develop exactly what you need?

The hybrid model might be a bridge. Or it might be two things propping each other up before they both fall over.

Trend 5- Obsolescence

Okay, this one might sting a bit. There’s a reason why we wrote about AlphaGo Zero in the intro and let it brew in your mind.

The most prominent AI trend in SaaS is the risk of becoming obsolete. But why? Let this be a clear communication- AI won’t just replace your workers but also you and the SaaS model. Look at OpenAI- every time a start-up gets a feature, OpenAI has it too.

Many AI companies NEED SaaS to fail if they must replace or gain profit from it. And the wrappers that many SaaS companies are creating aren’t going to help the situation. You need to solve actual problems- not problems that generate profit.

Great products solve problems naturally. AI is that. Maybe even more.

Many of you aren’t Go players but great businessmen, which requires intuition, resilience, and creativity. And AI can’t take that away from you, right? But wait, that is what Go is: predicting the uncertain.

And if AI can do it better than you? The incentives run dry while the AI organizations consolidate knowledge and all the innovative talent that comes with it.