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[159.112.244.13]) by mx.google.com with UTF8SMTPS id af79cd13be357-910bd824460si383691585a.162.2026.05.14.11.02.23 for (version=TLS1_2 cipher=ECDHE-ECDSA-AES128-GCM-SHA256 bits=128/128); Thu, 14 May 2026 11:02:24 -0700 (PDT) Received-SPF: pass (google.com: domain of bounce+a6cce7.4d1858-tjphuhs=gmail.com@mg2.substack.com designates 159.112.244.13 as permitted sender) client-ip=159.112.244.13; Authentication-Results: mx.google.com; dkim=pass header.i=@mg2.substack.com header.s=mailo header.b=PmHOnwqP; dkim=pass header.i=@mailgun.org header.s=mg header.b="Sdrs/44g"; spf=pass (google.com: domain of bounce+a6cce7.4d1858-tjphuhs=gmail.com@mg2.substack.com designates 159.112.244.13 as permitted sender) smtp.mailfrom="bounce+a6cce7.4d1858-tjphuhs=gmail.com@mg2.substack.com"; dmarc=pass (p=REJECT sp=REJECT dis=NONE) header.from=substack.com DKIM-Signature: a=rsa-sha256; v=1; c=relaxed/relaxed; d=mg2.substack.com; q=dns/txt; s=mailo; t=1778781743; x=1778788943; h=List-Unsubscribe-Post: List-Unsubscribe: List-Post: List-Id: List-Archive: List-Owner: Reply-To: In-Reply-To: References: Sender: Sender: Date: Message-Id: To: To: From: From: Subject: Subject: Content-Type: Mime-Version: X-Feedback-Id; bh=sGWS0U9LX3ADaRGorr/VfxH0n5j+/Bv3jFHonQwQ/Wc=; b=PmHOnwqPheQw6sTjLnZiv+0f1t6B2VVV890YHmn6CR9wUDdQ0NRoGJOh+7wyJI3mPua38MVi5hh14WcjjngxGweexQS0OhrWXWUzIJ3hv/CLP3mUal7UiNewACow75ciBPg/eNeIdzuJqYJYhvcq1o4xsIkMku8MBi4TM2iLz0I= DKIM-Signature: a=rsa-sha256; v=1; c=relaxed/relaxed; d=mailgun.org; q=dns/txt; s=mg; t=1778781743; x=1778788943; h=List-Unsubscribe-Post: List-Unsubscribe: List-Post: List-Id: List-Archive: List-Owner: Reply-To: In-Reply-To: References: Sender: Sender: Date: Message-Id: To: To: From: From: Subject: Subject: Content-Type: Mime-Version: X-Feedback-Id; bh=sGWS0U9LX3ADaRGorr/VfxH0n5j+/Bv3jFHonQwQ/Wc=; b=Sdrs/44g3OYsxMsdk6KUAB8rOlg9WiV0iwvHkUb+OlZJoy6XnY1rKSDYJpXaQpXcQ2CdyIQmno3O1k0vZ70xMHSu6VDpWI6QPaiUuebaXHd1n+0oI53AGA3EQx8nPneh8H1w0/TgOcBc55qmn/vjYMjLq/dggu8spo4pGm4KMJ8= X-Mailgun-Sid: WyIxODZiYSIsInRqcGh1aHNAZ21haWwuY29tIiwiNGQxODU4Il0= X-Feedback-Id: postmaster@mg2.substack.com:post:5a78b6d5cd16820001f2a9d4:mailgun Received: by 8cdd98155caec0ba9b7f02a1c7d3c864b7890f3e8788222bfd9341a20a28b3f0 with HTTP id 6a060e2f9a83f671430cc955; Thu, 14 May 2026 18:02:23 GMT X-Mailgun-Sending-Ip: 159.112.244.13 Mime-Version: 1.0 Content-Type: multipart/alternative; boundary="8bcab39f4da49c792884057180e8889300bfecf30edc540c990313553be1" Subject: AI Tollgates Could Kill the SaaS Seat Model Forever From: Tech Scoop Newsletter To: tjphuhs@gmail.com X-Mailgun-Tag: post X-Mailgun-Track-Clicks: false Message-Id: <20260514180041.3.23eb04659fad95f1@mg2.substack.com> Date: Thu, 14 May 2026 18:00:41 +0000 Feedback-Id: post-196830236:cat-post:pub-2845566:substack Sender: Tech Scoop Newsletter References: In-Reply-To: Reply-To: Tech Scoop Newsletter List-Owner: List-Url: List-Archive: List-Id: List-Post: List-Unsubscribe: List-Unsubscribe-Post: List-Unsubscribe=One-Click X-Mailgun-Variables: {"category": "post", "email_generated_at": "1778781743422", "is_freemail": "true", "post_audience": "everyone", "post_id": "196830236", "post_type": "newsletter", "pub_community_enabled": "true", "publication_id": "2845566", "subdomain": "techscoop", "user_id": "273622398"} --8bcab39f4da49c792884057180e8889300bfecf30edc540c990313553be1 Content-Type: text/plain; charset="utf-8" Content-Transfer-Encoding: quoted-printable View this post on the web at https://techscoop.substack.com/p/ai-tollgates-= could-kill-the-saas Skip Frankenstein UIs. Build with your design system in Bolt.new. (Sponsor)= [ https://substack.com/redirect/4149ad02-5aaf-4aa5-afe6-4307a1f4d0f0?j=3De= yJ1IjoiNGl3b2U2In0.sVDxRtmZ85v8kfdamY0krRXGMy3p768BWtuZifRB-Zs ] Bolt.new is agentic engineering on multiplayer mode. Designers, product man= agers, and engineers prompt and edit in the same project at the same time. No more shipping Frankenstein UIs, stitched from a dozen disconnected promp= ts. The Design System Agent pulls real components from your library, refere= nces your actual design tokens, and matches your production codebase from t= he start, so engineering doesn=E2=80=99t have to throw the prototype away. Whether you=E2=80=99re shipping internal tools, moving a prototype to produ= ction, or replacing a legacy admin panel, Bolt.new takes your team from con= cept to deployed app. The enterprise software industry is heading toward a major collision with a= rtificial intelligence. For years, SaaS companies built trillion-dollar businesses around one simpl= e metric: charging per employee seat. The model was predictable, scalable, = and extremely profitable. If a company hired more workers, software revenue= increased automatically. But AI agents are beginning to disrupt that formula in ways many software g= iants did not fully anticipate. Today, a single AI agent can summarize meetings, update CRM records, automa= te workflows, generate reports, answer customer support tickets, and even m= ake operational decisions across multiple systems. In many cases, one AI sy= stem can perform the work previously handled by several employees using sep= arate software accounts. That raises a massive question for the future of SaaS: What happens when companies no longer need thousands of human users because= AI agents can do the work instead? The answer may reshape the entire enterprise software industry. Why the Traditional SaaS Pricing Model Is Under Threat The modern SaaS economy was built on seat-based pricing. Platforms like Salesforce, SAP, Microsoft, Oracle, and ServiceNow tradition= ally charge businesses based on the number of employees using the system. T= he more workers logging in, the larger the recurring subscription revenue. This model worked because software usage was directly tied to human labor. AI breaks that connection. Imagine a company that once needed 500 customer service representatives usi= ng enterprise software daily. With advanced AI automation, that same worklo= ad could potentially be handled by 50 employees supported by intelligent AI= agents. The company would still rely heavily on the software platform. In fact, the= platform might process more activity than ever before. But the vendor coul= d end up selling far fewer user licenses. For SaaS companies, that creates a dangerous possibility: declining seat re= venue despite growing platform usage. And that is exactly why enterprise software providers are rapidly changing = strategy. The Rise of AI Tollgates To protect revenue and maintain control over their ecosystems, many softwar= e companies are introducing what industry observers increasingly describe a= s AI tollgates. These are restrictions, pricing systems, or access controls designed specif= ically for AI agents interacting with enterprise platforms. Instead of treating AI like a normal user, vendors are beginning to meter m= achine activity separately. That could include charging businesses for: AI agent access Automated workflows API usage Data retrieval volume AI-generated actions Task execution frequency Autonomous decision-making processes In other words, SaaS pricing may shift away from human users entirely and t= oward AI-driven operational activity. This marks one of the biggest economic changes the software industry has se= en since the rise of cloud computing. Why Salesforce, SAP, and ServiceNow Are Nervous About AI Agents The threat is not only about pricing. It is also about control. Enterprise platforms contain some of the world=E2=80=99s most valuable busi= ness data, including customer relationships, supply chains, financial recor= ds, employee workflows, and operational intelligence. AI agents become dramatically more powerful when they can freely access and= operate across those systems. If outside AI assistants become the primary interface employees use every d= ay, traditional software platforms risk becoming invisible infrastructure o= perating in the background. That creates a dangerous scenario for major SaaS providers. Historically, software companies controlled the customer relationship becau= se employees interacted directly with their dashboards and interfaces. But = if workers increasingly delegate tasks to AI copilots and autonomous agents= , the AI layer could eventually own the user experience instead. The enterprise platform then becomes a back-end utility rather than the cen= ter of business operations. Software giants understand this risk clearly. That is why many are aggressi= vely launching proprietary AI copilots while simultaneously limiting unrest= ricted third-party AI access. The battle is no longer just about software features. It is about who controls the future AI operating layer for business. AI Could Transform SaaS Into =E2=80=9CWork-as-a-Service=E2=80=9D The deeper shift happening right now goes beyond pricing models. AI is changing what companies actually buy from software vendors. In the past, businesses purchased tools employees used to complete work man= ually. But AI automation moves software closer to autonomous execution. Companies may no longer care about employees navigating dashboards or updat= ing spreadsheets themselves. What they ultimately want are completed outcom= es: Customer tickets resolved Invoices processed Leads converted Compliance checks completed Reports generated Operations optimized If AI agents can execute those tasks autonomously, software interfaces beco= me less important than the actual business results produced. That means SaaS may evolve into something entirely different: Work-as-a-Service. In this model, businesses pay not for access to software but for the succes= sful completion of operational work powered by AI. This could completely redefine enterprise software economics over the next = decade. The Risk of Building Too Many AI Restrictions However, there is also danger in overprotecting enterprise ecosystems. Technology history repeatedly shows that developers and businesses tend to = favor open, flexible platforms over heavily restricted environments. If established software vendors create expensive AI access barriers, startu= ps may gain an advantage by building AI-native systems designed specificall= y for autonomous agents from the ground up. Many emerging enterprise AI companies are already treating AI agents as pri= mary users instead of secondary add-ons. That difference matters. Legacy SaaS firms are trying to retrofit AI into pricing models built for h= uman workers. Newer AI-native platforms are designing their entire infrastr= ucture around autonomous digital labor from day one. The companies that adapt fastest could define the next era of enterprise te= chnology. The Future of SaaS Pricing May Never Look the Same Again Artificial intelligence is forcing one of the largest business model change= s in software history. The old SaaS formula depended on human employees sitting behind screens and= interacting directly with applications. AI agents are introducing a world = where software itself can perform the labor. Once work becomes autonomous, charging per employee seat starts to make les= s sense. That is why AI tollgates are emerging across the enterprise software landsc= ape. They represent an attempt to control access, preserve profits, and red= efine how software companies monetize value in the age of AI automation. But they also signal something much larger. The SaaS era built around human users may be coming to an end. The next generation of enterprise software may not charge companies for the= number of employees using a platform. It may charge AI systems for the right to work. Most AI note-takers give you transcripts. Granola gives you leverage. (Spon= sor) [ https://substack.com/redirect/6c6c9871-d2ad-4cde-8696-c7fc80fc90e8?j= =3DeyJ1IjoiNGl3b2U2In0.sVDxRtmZ85v8kfdamY0krRXGMy3p768BWtuZifRB-Zs ] Take notes your way, get AI-powered summaries and action items, then chat w= ith your meetings to get work done faster. Unsubscribe https://substack.com/redirect/2/eyJlIjoiaHR0cHM6Ly90ZWNoc2Nvb3A= uc3Vic3RhY2suY29tL2FjdGlvbi9kaXNhYmxlX2VtYWlsP3Rva2VuPWV5SjFjMlZ5WDJsa0lqb3= lOek0yTWpJek9UZ3NJbkJ2YzNSZmFXUWlPakU1Tmpnek1ESXpOaXdpYVdGMElqb3hOemM0Tnpne= E56UXpMQ0psZUhBaU9qRTRNVEF6TVRjM05ETXNJbWx6Y3lJNkluQjFZaTB5T0RRMU5UWTJJaXdp= YzNWaUlqb2laR2x6WVdKc1pWOWxiV0ZwYkNKOS5ucEZGTVY5TnN2YU05T1hTX08zVlJiN212cW0= ycG5TS2hsSFRlS2JpZDZzIiwicCI6MTk2ODMwMjM2LCJzIjoyODQ1NTY2LCJmIjp0cnVlLCJ1Ij= oyNzM2MjIzOTgsImlhdCI6MTc3ODc4MTc0MywiZXhwIjoyMDk0MzU3NzQzLCJpc3MiOiJwdWItM= CIsInN1YiI6ImxpbmstcmVkaXJlY3QifQ.vbz62-odfMvPBaO7TlbXc9qFqaJgv_5OlKfDJv-3h= WA? --8bcab39f4da49c792884057180e8889300bfecf30edc540c990313553be1 Content-Type: text/html; charset="utf-8" Content-Transfer-Encoding: quoted-printable = AI Tollgates Could Kill the SaaS Seat Model Forever3D""
How AI Agents Are Forcing Salesforce, SAP, and Servi= ceNow to Reinvent Enterprise Software Pricing
͏     ­= ͏     ­͏     ­͏   ̳= 9; ­͏     ­͏     ­͏ &nb= sp;   ­͏     ­͏     ­&= #847;     ­͏     ­͏    = ; ­͏     ­͏     ­͏ &nbs= p;   ­͏     ­͏     ­&#= 847;     ­͏     ­͏    = ­͏     ­͏     ­͏  = ;   ­͏     ­͏     ­= 47;     ­͏     ­͏     = ­͏     ­͏     ­͏  =   ­͏     ­͏     ­T= 7;     ­͏     ­͏     &= #173;͏     ­͏     ­͏   =   ­͏     ­͏     ­͏= ;     ­͏     ­͏     &#= 173;͏     ­͏     ­͏   &= #8199; ­͏     ­͏     ­͏=     ­͏     ­͏     = 73;͏     ­͏     ­͏   &#= 8199; ­͏     ­͏     ­͏ =     ­͏     ­͏     = 3;͏     ­͏     ­͏   = 199; ­͏     ­͏     ­͏ &= nbsp;   ­͏     ­͏     ­= ;͏     ­͏     ­͏   Q= 99; ­͏     ­͏     ­͏ &n= bsp;   ­͏     ­͏     ­= ͏     ­͏     ­͏   ̳= 9; ­͏     ­͏     ­͏ &nb= sp;   ­͏     ­͏     ­&= #847;     ­͏     ­͏    = ; ­͏     ­͏     ­͏ &nbs= p;   ­͏     ­͏     ­&#= 847;     ­͏     ­͏    = ­͏     ­͏     ­͏  = ;   ­͏     ­͏     ­= 47;     ­͏     ­͏     = ­͏     ­͏     ­͏  =   ­͏     ­͏     ­T= 7;     ­͏     ­͏     &= #173;͏     ­͏     ­͏   =   ­͏     ­͏     ­͏= ;     ­͏     ­͏     &#= 173;͏     ­͏     ­͏   &= #8199; ­͏     ­͏     ­͏=     ­͏     ­͏     = 73;͏     ­͏     ­͏   &#= 8199; ­͏     ­͏     ­͏ =     ­͏     ­͏     = 3;͏     ­͏     ­͏   = 199; ­͏     ­͏     ­͏ &= nbsp;   ­͏     ­͏     ­= ;͏     ­͏     ­͏   Q= 99; ­͏     ­͏     ­͏ &n= bsp;   ­͏     ­͏     ­= ͏     ­͏     ­͏   ̳= 9; ­͏     ­͏     ­͏ &nb= sp;   ­͏     ­͏     ­&= #847;     ­͏     ­͏    = ; ­͏     ­͏     ­͏ &nbs= p;   ­͏     ­͏     ­&#= 847;     ­͏     ­͏    = ­͏     ­͏     ­͏  = ;   ­͏     ­͏     ­= 47;     ­͏     ­͏     = ­͏     ­͏     ­͏  =   ­͏     ­͏     ­T= 7;     ­͏     ­͏     &= #173;͏     ­͏     ­͏   =   ­͏     ­͏     ­͏= ;     ­͏     ­͏     &#= 173;͏     ­͏     ­͏   &= #8199; ­͏     ­͏     ­͏=     ­
Forwarded this = email? Subscribe here for more=

AI = Tollgates Could Kill the SaaS Seat Model Forever

How AI Agents Are Forc= ing Salesforce, SAP, and ServiceNow to Reinvent Enterprise Software Pricing=

<= table role=3D"presentation" width=3D"auto" border=3D"0" cellspacing=3D"0" c= ellpadding=3D"0">
Hey Maria
<= td class=3D"content" align=3D"left" width=3D"1200" style=3D"text-align: cen= ter;">3D""<= /table>

Bolt.new is agentic en= gineering on multiplayer mode. Designers, product managers, and engineers p= rompt and edit in the same project at the same time.

No more shipping Frankenstein UIs, stitched from a dozen disconnected pro= mpts. The Design System Agent pulls real comp= onents from your library, references your actual design tokens, and matches= your production codebase from the start, so engineering doesn’t have= to throw the prototype away.

Whether you’re = shipping internal tools, moving a prototype to production, or replacing a l= egacy admin panel, Bolt.new takes your team f= rom concept to deployed app.

Build = better apps, ship faster.

The enterprise sof= tware industry is heading toward a major collision with artificial intellig= ence.

For years, SaaS companies built trillion-dollar busin= esses around one simple metric: charging per employee seat. The model was p= redictable, scalable, and extremely profitable. If a company hired more wor= kers, software revenue increased automatically.

But AI agen= ts are beginning to disrupt that formula in ways many software giants did n= ot fully anticipate.

Today, a single AI agent can summarize= meetings, update CRM records, automate workflows, generate reports, answer= customer support tickets, and even make operational decisions across multi= ple systems. In many cases, one AI system can perform the work previously h= andled by several employees using separate software accounts.

That raises a massive question for the future of SaaS:

What happens when companies no longer need thousands of human users becaus= e AI agents can do the work instead?

The answer may reshape= the entire enterprise software industry.

The Rise of AI Tollgates

To protect revenu= e and maintain control over their ecosystems, many software companies are i= ntroducing what industry observers increasingly describe as AI tollgates.

These are restrictions, pricing systems, or access controls = designed specifically for AI agents interacting with enterprise platforms.<= /p>

Instead of treating AI like a normal user, vendors are begi= nning to meter machine activity separately.

That could incl= ude charging businesses for:

    AI agent access

  • Automated workflows

    • <= li style=3D"margin: 8px 0 0 32px;mso-special-format: bullet;">

    API usage

  • Data retrieval volume

    • AI-generated actions

  • Task execution frequency=

  • Autonomous decis= ion-making processes

In other words, SaaS pricing= may shift away from human users entirely and toward AI-driven operational = activity.

This marks one of the biggest economic changes th= e software industry has seen since the rise of cloud computing.

Why Salesforce, SAP, and ServiceNow Are Nervous About AI A= gents

The threat is not only about pricing.

Enterprise platforms contain so= me of the world’s most valuable business data, including customer rel= ationships, supply chains, financial records, employee workflows, and opera= tional intelligence.

AI agents become dramatically more pow= erful when they can freely access and operate across those systems.

If outside AI assistants become the primary interface employees us= e every day, traditional software platforms risk becoming invisible infrast= ructure operating in the background.

That creates a dangero= us scenario for major SaaS providers.

Historically, softwar= e companies controlled the customer relationship because employees interact= ed directly with their dashboards and interfaces. But if workers increasing= ly delegate tasks to AI copilots and autonomous agents, the AI layer could = eventually own the user experience instead.

The enterprise = platform then becomes a back-end utility rather than the center of business= operations.

Software giants understand this risk clearly. = That is why many are aggressively launching proprietary AI copilots while s= imultaneously limiting unrestricted third-party AI access.

= The battle is no longer just about software features.

It is= about who controls the future AI operating layer for business.

AI Could Transform SaaS Into “Work-as-a-Service̶= 1;

The deeper shift happening right now goes beyond pricin= g models.

AI is changing what companies actually buy from s= oftware vendors.

In the past, businesses purchased tools em= ployees used to complete work manually. But AI automation moves software cl= oser to autonomous execution.

Companies may no longer care = about employees navigating dashboards or updating spreadsheets themselves. = What they ultimately want are completed outcomes:

  • Custome= r tickets resolved

  • Leads converted

  • Compliance checks completed

  • Reports generated

  • Operations optimized

If AI agents = can execute those tasks autonomously, software interfaces become less impor= tant than the actual business results produced.

That means = SaaS may evolve into something entirely different:

Work-as-= a-Service.

In this model, businesses pay not for access to = software but for the successful completion of operational work powered by A= I.

This could completely redefine enterprise software econo= mics over the next decade.

The Risk of Building= Too Many AI Restrictions

However, there is also danger in= overprotecting enterprise ecosystems.

Technology history r= epeatedly shows that developers and businesses tend to favor open, flexible= platforms over heavily restricted environments.

If establi= shed software vendors create expensive AI access barriers, startups may gai= n an advantage by building AI-native systems designed specifically for auto= nomous agents from the ground up.

Many emerging enterprise = AI companies are already treating AI agents as primary users instead of sec= ondary add-ons.

That difference matters.

Le= gacy SaaS firms are trying to retrofit AI into pricing models built for hum= an workers. Newer AI-native platforms are designing their entire infrastruc= ture around autonomous digital labor from day one.

The comp= anies that adapt fastest could define the next era of enterprise technology= =2E

The Future of SaaS Pricing May Never Look the= Same Again

Artificial intelligence is forcing one of the = largest business model changes in software history.

The old= SaaS formula depended on human employees sitting behind screens and intera= cting directly with applications. AI agents are introducing a world where s= oftware itself can perform the labor.

Once work becomes aut= onomous, charging per employee seat starts to make less sense.

That is why AI tollgates are emerging across the enterprise software l= andscape. They represent an attempt to control access, preserve profits, an= d redefine how software companies monetize value in the age of AI automatio= n.

But they also signal something much larger.

The SaaS era built around human users may be coming to an end.

The next generation of enterprise software may not charge companie= s for the number of employees using a platform.

It may char= ge AI systems for the right to work.

Most AI note-takers give y= ou transcripts. Granola gives you leverage. (Sponsor)

Take = notes your way, get AI-powered summaries and action items, then chat with y= our meetings to get work done faster.

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