Table of Contents >> Show >> Hide
- Why AI Patent Eligibility Became Such a Headache
- What the August 2025 USPTO Memo Actually Does
- How the Memo Impacts AI and Machine Learning Patent Claims
- What About AI Inventorship? Still Humans Only.
- Drafting Strategies Under the 2025 AI Eligibility Memo
- What the August 2025 Memo Means for Innovators
- Open Questions and Critiques
- Real-World Experiences with the August 2025 AI Patent Memo
- Conclusion: A Clearer Path for AI Patent Eligibility
If you’ve ever tried to patent an AI invention in the United States and felt like you were
playing 4D chess with invisible rules, the U.S. Patent and Trademark Office (USPTO) has
some news for you. In August 2025, the USPTO issued a memo that doesn’t change the law,
but it does explain in much clearer terms how examiners should apply 35 U.S.C. § 101
to AI and software inventions. For founders, in-house counsel, and patent professionals,
this “reminder memo” is a big deal.
The August 2025 memo reinforces earlier subject matter eligibility guidance, especially
for AI and machine learning patent applications. Think of it as the USPTO’s way of saying:
“We meant what we said in our prior guidance and here’s how to actually use it in AI cases.”
It clarifies how to treat abstract ideas, mental processes, and computer-implemented
claims, and it gives you a roadmap for drafting and prosecuting AI patents with a much
better shot at survival.
Why AI Patent Eligibility Became Such a Headache
To understand why the August 2025 memo matters, you need a bit of backdrop. For more than
a decade, U.S. patent law has been wrestling with abstract ideas, thanks to Supreme Court
decisions like Alice Corp. v. CLS Bank. That case confirmed that you can’t just take a
mental process or business method, say “do it on a computer,” and call it an invention.
AI and machine learning landed right in the middle of this storm. Many AI inventions look
suspiciously like:
- Mathematical concepts (e.g., loss functions, gradients, matrix operations),
- Mental processes (e.g., classifying, predicting, recognizing patterns), or
- Certain methods of organizing human activity (e.g., targeted advertising, pricing).
At the same time, AI is undeniably powering real, technical advances: better medical imaging,
smarter manufacturing, safer vehicles, and more. The USPTO has been trying to thread the
needle weeding out “just math on a server” while allowing patents on genuine
technical improvements.
In 2019 and 2024, the USPTO issued subject matter eligibility guidance and an AI-focused
update. But examiners didn’t always apply that guidance consistently, especially across
different technology centers. Some applicants found that nearly every AI claim triggered a
Section 101 rejection, even when the invention clearly improved how a computer system
worked in the real world.
Enter the August 4, 2025 memo targeted straight at the art units that handle AI, ML,
and other computer-implemented technologies.
What the August 2025 USPTO Memo Actually Does
First, it’s important to say what the memo does not do: it does not change the law.
The USPTO is very explicit that this is a “reminder” of existing subject matter eligibility
guidance, not a new rulebook.
What it does do is sharpen how examiners should apply the existing framework under
35 U.S.C. § 101, especially when reviewing AI and software claims. The memo walks examiners
through a more disciplined use of the now-familiar two-step test:
-
Step 1: Is the claim “directed to” a judicial exception?
This includes abstract ideas such as mathematical concepts, mental processes, and certain
methods of organizing human activity. The memo reminds examiners not to oversimplify
claims by ignoring their concrete, technical context. -
Step 2: If so, does the claim integrate that exception into a practical application or add “significantly more”?
Here the memo emphasizes real-world, technical improvements not just generic computer
implementation.
In plain English: examiners are told to stop treating every AI claim like it’s just “math
on a generic computer” and to look seriously at whether the claim solves a concrete
technical problem or improves how technology operates.
Key Themes from the August 2025 Memo
Across law firm analyses and practitioner commentary, several themes show up again and again:
-
No new categories of ineligible subject matter.
AI and machine learning claims are still evaluated under the familiar categories:
mathematical concepts, mental processes, and certain human activity methods. There isn’t
a new “AI is suspicious by default” category. -
Look at the claim as a whole.
Examiners are reminded not to cherry-pick a few abstract words and ignore the real
technical context. If your AI system improves network reliability, image quality,
processor efficiency, or another technical metric, that matters. -
Practical application is real not window dressing.
The memo reinforces that tying an abstract idea to a specific technical environment,
with meaningful limitations, can turn an otherwise ineligible claim into an eligible one.
“Just do it on a generic server” is not enough; “do it in this specific way that improves
how the server operates” might be. -
Consistency with the MPEP and prior AI guidance.
The memo repeatedly cross-references the Manual of Patent Examining Procedure and the
2024 AI subject matter eligibility update. It’s meant to harmonize, not replace, those
documents.
How the Memo Impacts AI and Machine Learning Patent Claims
The practical impact of the August 2025 memo is most obvious in how examiners evaluate
common AI/ML claim patterns. Here are some concrete scenarios where the memo is already
reshaping strategy.
1. Purely Mathematical AI vs. Applied AI
If your claim focuses strictly on the math for example, “a method of updating a weight
matrix using gradient descent and a particular regularization term” you’re squarely in
abstract idea territory. That doesn’t mean you’re doomed, but you’ll likely need to
show how that math is tied to a particular technical application.
On the other hand, if you describe:
- An AI model that reduces latency in a wireless communication system,
- A neural network that improves compression efficiency without sacrificing image quality, or
- A machine learning pipeline that stabilizes autonomous vehicle control under noisy sensor conditions,
you’ve moved closer to a technological improvement rather than “just math.” The memo nudges
examiners to recognize that difference and to treat such claims more favorably under
Step 2 of the § 101 analysis.
2. Mental Processes and “Do It Like a Human, But Faster”
A lot of AI inventions automate tasks that humans could, in theory, do mentally like
classifying documents, flagging fraud, or recognizing images. The memo reminds examiners
that if a claim merely mirrors a mental process and says “do it with a computer,” that’s
likely ineligible. But if the claim solves problems that humans realistically cannot
solve at scale (for example, processing billions of data points in real time), and if it
does so using a specific technical architecture, that can weigh heavily toward eligibility.
3. AI Pipelines, Data Processing, and Practical Applications
Many AI patents involve multi-step pipelines: data collection, preprocessing, model
training, inference, and post-processing. The memo encourages examiners to examine whether
those pipelines:
- Are tied to a specific technological environment (e.g., MRI images, network telemetry, industrial sensor arrays), and
- Produce concrete technical outcomes (e.g., reduced error rates, improved throughput, faster convergence, better stability).
When the pipeline is clearly grounded in a particular technology and improves how that
technology functions, the memo suggests that is a strong argument for eligibility.
What About AI Inventorship? Still Humans Only.
The August 2025 memo is primarily about subject matter eligibility, not inventorship. But
it doesn’t exist in a vacuum. Over the last few years, courts and the USPTO have made it
very clear that:
- AI systems can assist in creating inventions, but
- Only natural persons can be listed as inventors on U.S. patents.
From the Federal Circuit’s decision in Thaler v. Vidal to subsequent USPTO guidance, the
message has been consistent: AI is a powerful tool, not a legal “inventor.” Recent
inventorship guidance in 2025 doubles down on this. The August memo on eligibility sits
alongside that framework: you can get patents on AI-assisted inventions if they meet
§ 101 and other requirements, but the named inventors must be human.
For practitioners, this means two parallel tracks:
- Make sure your claim drafting and arguments are aligned with the August 2025 eligibility memo.
- Make sure your inventor designations and disclosures reflect real human contributions, even if AI played a supporting role.
Drafting Strategies Under the 2025 AI Eligibility Memo
So how do you actually use the memo when preparing AI patent applications or responding to
rejections? Here are some practical strategies that echo across practitioner analyses.
1. Tell a Technical Story, Not a Math Story
Instead of centering your claims and specification on the beauty of your math, tell the
story of the technical problem you solved:
- Is it reducing bandwidth in a congested network?
- Stabilizing control in a drone under gusty conditions?
- Improving signal-to-noise ratio in medical scans?
Put that problem front and center, then explain how your AI approach achieves measurable
improvements. Tie algorithmic choices (loss functions, model structures, training regimes)
to specific technical benefits, not just better “accuracy on a dataset.”
2. Anchor Claims in Real-World Applications
The memo favors claims that integrate AI into a practical technical environment. For
example:
- An AI model integrated into an engine control unit that reduces fuel consumption,
- A ML system that dynamically tunes cache policies to reduce memory thrashing, or
- An AI-based anomaly detector embedded in a data center monitoring stack to prevent downtime.
These kinds of claims are much easier to defend as more than an abstract idea. Rather than
“a method of classifying data,” think “a method of operating a distributed storage system
that uses classification to reduce error rates.”
3. Use the Memo as a Script for § 101 Responses
When you get a subject matter eligibility rejection, the memo becomes your friendly
script. You can:
-
Map each limitation of the claim to the technical problem and improvement it supports,
emphasizing how the claim as a whole goes beyond a bare abstract idea. -
Cite the memo’s reminders that examiners must consider practical application and not
oversimplify the claim. -
Reference examples in prior USPTO guidance that resemble your fact pattern (e.g., software
that improves computer performance or network operation).
In many cases, applicants are already seeing tighter, more focused § 101 rejections
and more opportunities to overcome them because examiners are being pushed to follow
that structure instead of relying on boilerplate “abstract idea” language.
What the August 2025 Memo Means for Innovators
If you’re building AI-driven products, the memo doesn’t magically guarantee you a patent,
but it does change the landscape in a few important ways.
More Predictable Examination (Relatively Speaking)
The memo is aimed at reducing the “art unit lottery” effect where identical AI
applications might be treated differently depending on which examiner you drew. While
human variability will never vanish, the memo narrows the room for outlier behavior by
tying examiners more tightly to established guidance and examples.
Better Odds for Truly Technical AI Inventions
If your AI system meaningfully improves how technology works, you’re in a much healthier
position. The memo encourages examiners to recognize technical improvements and practical
applications as strong indicators of eligibility. That’s good news for:
- AI infrastructure companies (MLOps, distributed training, accelerator hardware),
- Applied AI in healthcare, manufacturing, and telecom, and
- Safety-critical AI in transportation and robotics.
Courts Still Have the Final Say
One caveat: USPTO guidance binds examiners, not judges. If your patent ends up in
litigation, courts will apply their own reading of § 101, influenced but not controlled by
USPTO memos. Still, getting an issued patent with a robust eligibility record grounded
in the 2025 memo can give you a stronger starting point.
Open Questions and Critiques
Not everyone is convinced the August 2025 memo goes far enough. Some critics argue that as
long as the underlying judicial framework remains murky, subject matter eligibility will
always be unpredictable at the edges. Others worry the memo could open the door to a flood
of low-quality software and AI patents if examiners interpret “practical application” too
generously.
On the ground, though, most practitioners seem to agree on two points:
- The memo makes it easier to argue eligibility for genuinely technical AI solutions.
- It encourages better, more technically grounded drafting which is good for both the patent system and innovation.
Real-World Experiences with the August 2025 AI Patent Memo
While the memo is still relatively new, early experiences from the AI patent community
have started to form some patterns. Think of the following as a composite of stories
from in-house counsel, outside firms, and inventors who have been living with this memo
since late summer 2025.
Experience 1: From “Hopeless” to Allowable After Reframing
A mid-sized medical imaging startup had been battling repeated § 101 rejections on an AI
model that denoised MRI scans. Before August 2025, their claims were framed mostly in
terms of model training steps and loss functions. Examiners saw this as math with a hint
of healthcare flavor and issued standard “abstract idea” rejections.
After the August memo, the company and its outside counsel rewrote the claims and
arguments. They leaned into:
- How the AI pipeline was integrated into the MRI acquisition workflow,
- Specific hardware constraints and timing requirements, and
- Quantified improvements in scan time and image quality.
They responded to § 101 rejections by quoting the memo and mapping each claim step to a
technical effect. The examiner explicitly referenced the memo in the next Office Action,
withdrew the eligibility rejection, and focused on prior art instead a huge win that
simply wasn’t happening as often pre-memo.
Experience 2: Startups Learning to “Think Like an Examiner”
Early-stage AI startups especially in fintech and logistics report that the memo has
changed how they brainstorm inventions. Instead of treating AI features as “black box
magic,” product and engineering teams increasingly ask:
- What technical bottleneck does this model actually remove?
- Does it change how the underlying system works or just automate a business decision?
- Can we measure improvements in latency, bandwidth, resource usage, or reliability?
By workshopping features in these terms, they’re effectively reverse-engineering the
memo’s perspective before anything gets filed. This makes discovery sessions with patent
counsel much more productive and leads to stronger initial filings that already highlight
practical technical benefits.
Experience 3: Examiners Becoming More Transparent
Practitioners also report that examiners are giving more structured feedback in Office
Actions. Instead of a vague line like “the claim is directed to an abstract idea,”
responses more often:
- Identify which prong of the § 101 framework applies,
- Specify whether the alleged abstract idea is a math concept, mental process, or method of organizing human activity, and
- Explain why the examiner thinks the claim lacks a practical application or “significantly more.”
This doesn’t mean applicants always agree far from it but it does make § 101 dialogue
more substantive. For many AI and ML applications, that structure is exactly what was
missing: a clear way to talk about where the examiner thinks the line is, and how to move
the claim across it.
Experience 4: In-House Teams Using the Memo as Training Material
Larger tech companies have started using the August 2025 memo as internal training
material. Product managers, research scientists, and junior patent professionals are
asked to read the memo alongside examples of both rejected and allowed AI patents.
One common exercise: take a real AI feature, write two short claim summaries one that
reads like a math lecture, and one that reads like a technical improvement case study.
Then, evaluate each summary under the memo’s framework. The contrast is usually obvious:
same invention, radically different eligibility posture.
Experience 5: Small Inventors Still Face a Steep Learning Curve
Solo inventors and very small companies, however, often don’t have the resources to
closely track evolving guidance. For them, the memo is good news it generally makes AI
patents more approachable but only if they know it exists and understand how to use it.
The best advice in that camp is simple:
- Read the USPTO’s subject matter eligibility materials (not just headlines).
- Look at recent AI patent grants in your field and study how claims are framed.
- Consider at least a short consultation with a patent professional who is actively working with AI cases post-2025 memo.
The memo can be a powerful ally, but like any good tool in the AI world, it’s only useful
if you actually plug it into your workflow.
Conclusion: A Clearer Path for AI Patent Eligibility
The August 2025 USPTO memo doesn’t magically resolve every question about AI and patent
law, but it does clarify a crucial piece of the puzzle: how examiners should apply § 101 to
AI and software inventions. For innovators, the takeaway is straightforward:
- Frame AI inventions as concrete technical solutions, not abstract mathematical tricks.
- Anchor claims in real-world systems and measurable technical improvements.
- Use the memo proactively in drafting, in Office Action responses, and in internal training.
In the age of generative AI, reinforcement learning, and constant model iteration, the
patent system is still catching up. The August 2025 memo is one of the clearest signals so
far that the USPTO wants to encourage AI-enabled innovation while keeping the “no AI
inventors” rule firmly in place and staying within the bounds of existing case law.
If you’re betting your business on AI, you now have a more predictable way to bet on
patents, too. Just don’t forget: the story you tell about your invention can be the
difference between “abstract idea rejected” and “allowed and enforceable.”