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  3. /The AI Breakdown: Daily Artificial Intelligence News and Discussions
TThe AI Breakdown: Daily Artificial Intelligence News and Discussions

The AI Breakdown: Daily Artificial Intelligence News and Discussions sponsors and ad reads

Apple #589
Host: Nathaniel Whittemore
Publisher: Nathaniel Whittemore

A daily news analysis show on all things artificial intelligence. NLW looks at AI from multiple angles, from the explosion of creativity brought on by new tools like Midjourney and ChatGPT to the potential disruptions to work and industries as we know them to the great philosophical, ethical and practical questions of advanced general intelligence, alignment and x-risk.

~$35K
Estimated 30d gross ad earnings
$5.7K–$238K · 86/86 reads
Jul 15–Aug 13 · episodes published
22
Unique Sponsors
44s
Avg promo duration
12.3%
Ad load (% runtime, last 5 eps)
Aug 13
Most recent

Who sponsors The AI Breakdown: Daily Artificial Intelligence News and Discussions?

22 brands

The AI Breakdown: Daily Artificial Intelligence News and Discussions has 238 quality-qualified public sponsor reads from 22 brands in AdReads, including KPMG, Blitzy, and OutSystems. The most recent detected sponsor was HyperAgent on Aug 13. This is an observed dataset, not a complete advertiser roster.

Sponsor changes over time

Last 4 months
May 2026
36 reads
13
sponsors
KKPMGKPMG10
GGranolaGranola5

Recent reads

Grouped by episode and date · showing 41–60 of 238
+Follow Podcast
ZZenflow WorkZenflow Work
5
Jun 2026
86 reads
12
sponsors
OOutSystemsOutSystems26
KKPMGKPMG18
SSectionSection10
Jul 2026
48 reads
14
sponsors
BBlitzyBlitzy11
KKPMGKPMG9
AAirtableAirtable7
Aug 2026
68 reads
8
sponsors
BBlitzyBlitzy17
HHyperAgentHyperAgent17
KKPMGKPMG14
Why the Data Center Fight Has Little to Do With AI
Episode date Aug 5
4 reads
KKPMG
KPMG10:06-10:52
One of the most important AI questions right now isn't who's using AI, it's who's using it well. KPMG and the University of Texas at Austin just analyzed 1.4 million real workplace AI interactions and found something surprising. The highest impact users aren't better prompt engineers, they treat AI like a reasoning partner. They frame problems, guide thinking, iterate, and push for better answers. And the good news? These behaviors are teachable at scale. If you're trying to move from AI access to real capability, KPMG's research on sophisticated AI collaboration is worth your time. Learn more at kpmg.com slash US slash sophisticated. That's kpmg.com slash US slash sophisticated.
mid-rollno codeDetected Aug 9
Est. value ~$450 · range $72–$3K
BBlitzy
Blitzy10:48-11:40
Here's why most legacy modernization projects fail. The AI doing the work can't understand code bases at scale. It sees a small slice of context, examines syntax, and misses years of decisions distributed across the global application ecosystem. Blitzy solves this the way it solves everything. Grounded in your code before any migration begins, Blitzy's agents reverse engineer the entire legacy system into a persistent knowledge graph. Every dependency, every constraint, every piece of tribal knowledge that used to live in one engineer's head. From that understanding, Blitzy autonomously executes language migrations, framework upgrades, and monolith-to-microservices transformations, all validated end-to-end. One Blitzy customer modernized a $10 million monolithic insurance stack in 16 weeks against a 137-week baseline with coding agents. That's 9x compression. Retire technical debt while accelerating your roadmap. See how at Blitzy.com. That's B-L-I-T-Z-Y dot com.
mid-rollno codeDetected Aug 9
Est. value ~$450 · range $72–$3K
RRobots & Pencils
Robots & Pencils11:41-12:19
I cover the capability gap between AI potential and AI reality every day on this show. Most companies are still figuring out how to start. Robots and Pencils is already launching and scaling agentic and generative AI in production at large enterprises in weeks. AWS Advanced Tier Partner more than doubled in a year. And they're hiring 50 open roles. If you're someone who knows this moment is different, who wants to be inside it, not watching it, this is worth a look. At Robots and Pencils, the best ideas win, and the team is purposefully kept super high quality. This is the kind of place you look back on as the best decision you ever made. Take a look at robotsandpencils.com slash careers.
mid-rollno codeDetected Aug 9
Est. value ~$330 · range $54–$2.3K
HHyperAgent
HyperAgent12:19-13:01
This episode of the AI Daily Brief is brought to you by HyperAgent, where you run fleets of agents your team can manage together. New users get $1,000 in inference. Forget local agents and chat workflows waiting on your laptop to be prompted. HyperAgent deploys always-on agents in the cloud, doing real work across the tools your team already uses. Marketing's agent turns competitor moves into landing pages. Sales's agent enriches leads, drafts emails, and updates the CRM. Ops agent chases the paperwork and tracks the budget. Every agent has access to shared context and follows your rules about scope and approvals. It's time you add agents that feel like teammates. Hire yours at HyperAgent, built by the team at Airtable. Claim your $1,000 in inference at hyperagent.com slash aidailybrief.
mid-rollno codeDetected Aug 9
Est. value ~$330 · range $54–$2.3K
Why AI Washing Won’t Work Much Longer
Episode date Aug 4
4 reads
KKPMG
KPMG8:00-8:46
One of the most important AI questions right now isn't who's using AI, it's who's using it well. KPMG and the University of Texas at Austin just analyzed 1.4 million real workplace AI interactions and found something surprising. The highest impact users aren't better prompt engineers, they treat AI like a reasoning partner. They frame problems, guide thinking, iterate, and push for better answers. And the good news? These behaviors are teachable at scale. If you're trying to move from AI access to real capability, KPMG's research on sophisticated AI collaboration is worth your time. Learn more at kpmg.com slash US slash sophisticated. That's kpmg.com slash US slash sophisticated.
mid-rollno codeDetected Aug 9
Why AI Washing Won’t Work Much Longer
Episode date Aug 4
4 reads
KKPMG
KPMG8:00-8:46
One of the most important AI questions right now isn't who's using AI, it's who's using it well. KPMG and the University of Texas at Austin just analyzed 1.4 million real workplace AI interactions and found something surprising. The highest impact users aren't better prompt engineers, they treat AI like a reasoning partner. They frame problems, guide thinking, iterate, and push for better answers. And the good news? These behaviors are teachable at scale. If you're trying to move from AI access to real capability, KPMG's research on sophisticated AI collaboration is worth your time. Learn more at kpmg.com slash US slash sophisticated. That's kpmg.com slash US slash sophisticated.
mid-rollno codeDetected Aug 9
Everything You Need to Know About AI Tokens
Episode date Aug 2
4 reads
RRackspace
Rackspace20:27-21:21
One of the more interesting shifts in enterprise AI right now is how quickly the conversation is moving towards infrastructure and operations. As AI moves into core workflows, regulated data environments, and agentic systems, enterprises need governed infrastructure and inference that can operate reliably day-to-day with clear operational accountability built in from the start. As those systems scale, the operating model increasingly becomes part of the AI strategy itself. Rackspace technology is the operator of the full enterprise AI stack, from agents to infrastructure across private cloud, hybrid cloud, and edge environments. Rackspace builds and operates governed AI infrastructure, inference, and production AI systems for organizations where sovereignty, compliance, and uptime are non-negotiable. Therefore, deployed engineers stay embedded beyond deployment to help operationalize and run AI in live environments. To learn more about where enterprise AI runs and outcome scale, go to rackspace.com.
What a $30B Hedge Fund Implosion Really Means for AI
Episode date Jul 31
4 reads
KKPMG
KPMG14:40-15:27
One of the most important AI questions right now isn't who's using AI, it's who's using it well. KPMG and the University of Texas at Austin just analyzed 1.4 million real workplace AI interactions and found something surprising. The highest impact users aren't better prompt engineers, they treat AI like a reasoning partner. They frame problems, guide thinking, iterate, and push for better answers. And the good news? These behaviors are teachable at scale. If you're trying to move from AI access to real capability, KPMG's research on sophisticated AI collaboration is worth your time. Learn more at kpmg.com slash US slash sophisticated. That's kpmg.com slash US slash sophisticated.
mid-rollno code
← Previous1234…12Next →

Sponsor history

Brands with quality-qualified reads detected on The AI Breakdown: Daily Artificial Intelligence News and Discussions
KKPMG
KPMG51 reads
Financial Services
No offer found
mid-rollno codeLatest Aug 13
BBlitzy
Blitzy30 reads
Entertainment
No offer found
mid-rollno codeLatest Aug 13
OOutSystems
OutSystems28 reads
SaaS
*OutSystems is an enterprise agentic AI platform for building and scaling AI apps*
mid-rollno codeLatest Jul 1
SSection
Section20 reads
Education
No offer found
mid-rollno codeLatest Aug 11
HHyperAgent
HyperAgent19 reads
SaaS
$1,000 in inference
mid-rollno codeLatest Aug 13
RRobots & Pencils
Robots & Pencils16 reads
Professional Services
No offer found
mid-rollno codeLatest Aug 12
ZZenCoder
ZenCoder10 reads
SaaS
No offer found
mid-rollno codeLatest Jun 12
AAssemblyAI
AssemblyAI9 reads
Artificial Intelligence
No offer found
mid-rollno codeLatest Jun 18
RRetool
Retool7 reads
SaaS
up to ten thousand dollars in ai credits per year
mid-rollno codeLatest Aug 4
AAirtable
Airtable7 reads
SaaS
Claim your $1,000 in inference
mid-rollAIDAILYBRIEFLatest Jul 21
MMissionCloud
MissionCloud6 reads
Artificial Intelligence
*MissionCloud delivers proven AI ROI as an AWS premier partner for enterprises*
mid-rollno codeLatest Jul 1
ZZenflow Work
Zenflow Work6 reads
SaaS
No offer found
mid-rollno codeLatest Jun 9
SScrunch
Scrunch5 reads
SaaS
*Scrunch offers a free website audit to improve AI search visibility*
mid-rollno codeLatest Jul 1
GGranola
Granola5 reads
Artificial Intelligence
No offer found
mid-rollno codeLatest May 16
RRackspace
Rackspace4 reads
SaaS
No offer found
mid-rollno codeLatest Aug 13
RRackspace Technology
Rackspace Technology3 reads
SaaS
No offer found
mid-rollno codeLatest Aug 10
HHyper Agent
Hyper Agent3 reads
SaaS
New users get $1,000 in inference
mid-rollno codeLatest Jul 19
SSuperintelligent
Superintelligent3 reads
Artificial Intelligence
*Superintelligent offers an executive agent leadership program launching June 29*
mid-rollno codeLatest Jun 26
BBlitsy
Blitsy2 reads
E-commerce
*Blitsy is an autonomous software development platform accelerating engineering velocity 5x*
mid-rollno codeLatest Jul 3
Bbolt.new
bolt.new2 reads
Artificial Intelligence
No offer found
mid-rollno codeLatest Jun 4
SSectionAI
SectionAI1 read
Financial Services
No offer found
mid-rollno codeLatest Jul 14
ZZenflow
Zenflow1 read
Health & Wellness
No offer found
mid-rollno codeLatest May 22
Est. value ~$450 · range $72–$3K
HHyperAgent
HyperAgent8:41-9:29
This episode of the AI Daily Brief is brought to you by HyperAgent, where you run fleets of agents your team can manage together. New users get $1,000 in inference. Forget local agents and chat workflows waiting on your laptop to be prompted. HyperAgent deploys always-on agents in the cloud, doing real work across the tools your team already uses. Marketing's agent turns competitor moves into landing pages. Sales's agent enriches leads, drafts emails, and updates the CRM. Ops agent chases the paperwork and tracks the budget. Every agent has access to shared context and follows your rules about scope and approvals. It's time you add agents that feel like teammates. Hire yours at HyperAgent, built by the team at Airtable. Claim your $1,000 in inference at hyperagent.com slash AIDailyBrief.
mid-rollno codeDetected Aug 9
Est. value ~$450 · range $72–$3K
SSection
Section9:24-10:14
Here's a harsh truth. Your company is probably spending thousands or millions of dollars on AI tools that are being massively underutilized. Half of companies have AI tools, but only 12% use them for business value. Most employees are still using AI to summarize meeting notes. If you're the one responsible for AI adoption at your company, you need Section. Section is a platform that helps you manage AI transformation across your entire organization. It coaches employees on real use cases, tracks who's using AI for business impact, and shows you exactly where AI is and isn't creating value. The result? You go from rolling out tools to driving measurable AI value. Your employees move from meeting summaries to solving actual business problems, and you can prove the ROI. Stop guessing if your AI investment is working. Check out Section at sectionai.com. That's S-E-C-T-I-O-N-A-I dot com.
mid-rollno codeDetected Aug 9
Est. value ~$450 · range $72–$3K
BBlitzy
Blitzy10:14-11:06
Blitzy deeply understands your codebase before it writes code. Here's the first place that pays off. Security in the age of AI. Vulnerabilities don't live in isolation. They live buried inside millions of lines of interconnected code, where patching one thing quietly breaks three others. That's why surface-level scans fail. Blitzy starts from its knowledge graph of your entire application, identifies and surfaces CVEs across the full estate, proactively recommends patches, and can execute the PR. Each fix is grounded in how your systems connect and validate so nothing new breaks. And the knowledge graph dynamically updates, keeping you ahead of an ever-accelerating threat landscape. One Blitzy customer resolved 21 active CVEs across six core microservices in four days. Zero compile errors, every validation scan clean, months of planned work fixed in less than a week. Security remediation grounded in real architectural context at the speed of compute. Harden your codebase at Blitzy.com. That's B-L-I-T-Z-Y dot com.
mid-rollno codeDetected Aug 9
Est. value ~$450 · range $72–$3K
Est. value ~$450 · range $72–$3K
HHyperAgent
HyperAgent8:41-9:29
This episode of the AI Daily Brief is brought to you by HyperAgent, where you run fleets of agents your team can manage together. New users get $1,000 in inference. Forget local agents and chat workflows waiting on your laptop to be prompted. HyperAgent deploys always-on agents in the cloud, doing real work across the tools your team already uses. Marketing's agent turns competitor moves into landing pages. Sales's agent enriches leads, drafts emails, and updates the CRM. Ops agent chases the paperwork and tracks the budget. Every agent has access to shared context and follows your rules about scope and approvals. It's time you add agents that feel like teammates. Hire yours at HyperAgent, built by the team at Airtable. Claim your $1,000 in inference at hyperagent.com slash AIDailyBrief.
mid-rollno codeDetected Aug 9
Est. value ~$450 · range $72–$3K
SSection
Section9:24-10:14
Here's a harsh truth. Your company is probably spending thousands or millions of dollars on AI tools that are being massively underutilized. Half of companies have AI tools, but only 12% use them for business value. Most employees are still using AI to summarize meeting notes. If you're the one responsible for AI adoption at your company, you need Section. Section is a platform that helps you manage AI transformation across your entire organization. It coaches employees on real use cases, tracks who's using AI for business impact, and shows you exactly where AI is and isn't creating value. The result? You go from rolling out tools to driving measurable AI value. Your employees move from meeting summaries to solving actual business problems, and you can prove the ROI. Stop guessing if your AI investment is working. Check out Section at sectionai.com. That's S-E-C-T-I-O-N-A-I dot com.
mid-rollno codeDetected Aug 9
Est. value ~$450 · range $72–$3K
BBlitzy
Blitzy10:14-11:06
Blitzy deeply understands your codebase before it writes code. Here's the first place that pays off. Security in the age of AI. Vulnerabilities don't live in isolation. They live buried inside millions of lines of interconnected code, where patching one thing quietly breaks three others. That's why surface-level scans fail. Blitzy starts from its knowledge graph of your entire application, identifies and surfaces CVEs across the full estate, proactively recommends patches, and can execute the PR. Each fix is grounded in how your systems connect and validate so nothing new breaks. And the knowledge graph dynamically updates, keeping you ahead of an ever-accelerating threat landscape. One Blitzy customer resolved 21 active CVEs across six core microservices in four days. Zero compile errors, every validation scan clean, months of planned work fixed in less than a week. Security remediation grounded in real architectural context at the speed of compute. Harden your codebase at Blitzy.com. That's B-L-I-T-Z-Y dot com.
mid-rollno codeDetected Aug 9
Est. value ~$450 · range $72–$3K
mid-roll
no code
Detected Aug 5
Est. value ~$450 · range $72–$3K
BBlitzy
Blitzy21:21-22:09
Every AI coding tool on the market does the same thing first. It starts writing code. Blitzy does the opposite. Before writing a single line, Blitzy spends days reverse engineering your entire code base. Thousands of agents ingest millions of lines mapping every dependency, every undocumented constraint, every architectural decision made over the last decade. The result is a dynamic knowledge graph that understands your software the way a principal engineer would after 30 years in the building. Other tools guess at context with grep searches and markdown files. Blitzy never guesses. It builds true understanding first, then delivers over 80% of entire software epics autonomously. Validated, end-to-end tested, production-grade pull requests. That's why Fortune 500 engineering teams trust Blitzy with the codebases that matter most. See for yourself at blitzy.com. That's B-L-I-T-Z-Y.com.
mid-rollno codeDetected Aug 5
Est. value ~$450 · range $72–$3K
SSection
Section22:05-23:00
Here's a harsh truth. Your company is probably spending thousands or millions of dollars on AI tools that are being massively underutilized. Half of companies have AI tools, but only 12% use them for business value. Most employees are still using AI to summarize meeting notes. If you're the one responsible for AI adoption at your company, you need Section. Section is a platform that helps you manage AI transformation across your entire organization. It coaches employees on real use cases, tracks who's using AI for business impact, and shows you exactly where AI is and isn't creating value. The result? You go from rolling out tools to driving measurable AI value. Your employees move from meeting summaries to solving actual business problems, and you can prove the ROI. Stop guessing if your AI investment is working. Check out Section at sectionai.com. That's S-E-C-T-I-O-N ai.com.
mid-rollno codeDetected Aug 5
Est. value ~$450 · range $72–$3K
HHyperAgent
HyperAgent22:54-23:37
This episode of the AI Daily Brief is brought to you by HyperAgent, where you run fleets of agents your team can manage together. New users get $1,000 in inference. Forget local agents and chat workflows waiting on your laptop to be prompted. HyperAgent deploys always-on agents in the cloud, doing real work across the tools your team already uses. Marketing's agent turns competitor moves into landing pages. Sales's agent enriches leads, drafts emails, and updates the CRM. Ops Agent chases the paperwork and tracks the budget. Every agent has access to shared context and follows your rules about scope and approvals. It's time you add agents that feel like teammates. Hire yours at HyperAgent, built by the team at Airtable. Claim your $1,000 in inference at hyperagent.com slash AI Daily Brief.
mid-rollno codeDetected Aug 5
Est. value ~$330 · range $54–$2.3K
Detected Aug 4
Est. value ~$450 · range $72–$3K
BBlitzy
Blitzy15:27-16:11
Blitzy's understanding of massive code bases unlocks autonomous security fixes, modernization, and new features. So what happens when there's no legacy code at all? Greenfield is supposed to be the easy part. Clean slate, no technical debt. But even Greenfield moves at human speed one sprint at a time. Blitzy changes the unit of work from the developer to the project, autonomously planning, building, testing, and validating entire applications from scratch. Hundreds of thousands of lines of production-ready code. One Blitzy customer stood up a brand new application, 534,000 lines of code, compressing a 65-week roadmap into two weeks. Another shipped an entire application with no front-end engineer. Legacy or Greenfield, the answer is the same. Software at the speed of compute. Build what's next at blitzy.com. That's B-L-I-T-Z-Y dot com.
mid-rollno codeDetected Aug 4
Est. value ~$330 · range $54–$2.3K
RRetool
Retool16:12-16:57
This episode is brought to you by Retool. Generating a working app now takes about five minutes thanks to AI. Getting it safely into production with auth, permissions, audit logs, security reviews, that part still takes time. That's the gap Retool closes. Build apps however you want. natively in retool with clawed code codex or any coding agent or by importing react you've already built it all deploys into retool and picks up governance automatically security lives in the platform not in whatever the ai wrote so your team ships at ai speed without the shadow it and the endless reviews that stall out most vibe coded projects it's why teams at amazon stripe and brex build on retool and new enterprise customers who sign by september 30th get up to ten thousand dollars in ai credits per year start building at retool.com slash ai daily
mid-rollno codeDetected Aug 4
Est. value ~$450 · range $72–$3K
HHyperAgent
HyperAgent16:55-17:43
This episode of the AI Daily Brief is brought to you by HyperAgent, where you run fleets of agents your team can manage together. New users get $1,000 in inference. Forget local agents and chat workflows waiting on your laptop to be prompted. HyperAgent deploys always-on agents in the cloud, doing real work across the tools your team already uses. Marketing's agent turns competitor moves into landing pages. Sales's agent enriches leads, drafts emails, and updates the CRM. Ops agent chases the paperwork and tracks the budget. Every agent has access to shared context and follows your rules about scope and approvals. It's time you add agents that feel like teammates. Hire yours at HyperAgent built by the team at Airtable. Claim your $1,000 in inference at hyperagent.com slash AI Daily Brief.
mid-rollno codeDetected Aug 4
Est. value ~$450 · range $72–$3K

What sponsors are featured on similar podcasts?

5 brands

Sponsors detected on similar podcasts but not in the current AdReads record for The AI Breakdown: Daily Artificial Intelligence News and Discussions

SShopify
Shopify
Detected on The Vergecast
IIndeed
Indeed
Detected on The Vergecast
FFramer
Framer
Detected on The Vergecast
VVanta
Vanta
Detected on The Vergecast
OOdoo
Odoo
Detected on The Vergecast