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- Trump’s $500B Stargate AI, TikTok Takeovers, and Meta’s Sporty Smart Glasses
Trump’s $500B Stargate AI, TikTok Takeovers, and Meta’s Sporty Smart Glasses
Plus: The Last Strategy Framework You’ll Ever Need, High-Output Generalists, AI Lessons for Product Managers
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We track Product so you don't have to. Top Podcasts summarised, the latest AI tools, plus research and news in a 5 min digest.
Hey Product Fans!
Welcome to this week’s 🌮 Product Tapas!
If you’ve been forwarded this or just stumbled upon it, you’re in for a treat. For the best reading experience, check out the web version and sign up for future editions here.
What’s on the menu this week? 🧑🍳
📰 Not Boring – The AI news is relentless! Trump's ambitious $500B Stargate AI project, Anthropic's bold 2027 prediction for superintelligence, and OpenAI's massive data centre collaboration. Plus, MrBeast and Perplexity eyeing TikTok, Meta's new sporty smart glasses, and a $200M smart fridge fiasco that'll make you think twice about over-engineering.
⌚ Productivity Tapas – From LLM experimentation tools to AI-powered automation magic, we've got game-changing tools to supercharge your workflow. Don't miss Flowdrafter's unique approach to writing productivity too – it might feel weird at first, but trust me on this one!
🍔 Blog Bites – John Cutler's back with "The Last Strategy Framework You'll Ever Need" (spoiler: it's not about the framework), PostHog's James Hawkins on standing out in a crowded market, and why high-output generalists might be your team's secret weapon.
🎙️ Pod Shots – UiPath's Daniel Dines drops truth bombs about the future of AI agents, RPA, and why product excellence trumps innovation in today's AI landscape. Plus, some refreshingly honest takes on leadership that'll make you rethink those corporate buzzwords.
Plenty to get stuck into - off we go! 🚀
📰 Not boring
AI isn’t slowing down any time soon
Trump announces $500B Stargate AI project
Coming soon: Ph.D.-level super-agents. Maybe
Perplexity releases sonar; API access to their AI answer engine
Anthropic CEO Says AI Could Surpass Human Intelligence by 2027
Goldman Sachs rolls out an AI assistant for its employees as artificial intelligence sweeps Wall Street
OpenAI teams up with SoftBank and Oracle on $500B data centre project and their agent tool (Operator) may be nearing release
Google is making AI in Gmail and Docs free — but raising the price of Workspace
Microsoft launched the latest version of its Agentic framework (AuotoGen 0.4) with multi-agent systems, including WebSurfer, FileSurfer, Coder, and ComputerTerminal for diverse operations
MrBeast is reportedly now among those trying to buy TikTok (as is Perplexity)
Whilst Instagram is reportedly trying to attract TikTok creators with large bonuses
Stripe cuts 300 jobs in product, engineering and operations, but isn’t slowing hiring overall
Meta is building Oakley smart glasses for athletes
PRESENTATION: The State of Video Gaming in 2025
Zoom launches Cobrowse - collaborative browsing - allowing a customer and a support agent to securely navigate and interact with a webpage in real-time
Walgreens Replaced Fridge Doors With Smart Screens. It’s Now a $200 Million Fiasco
Here’s Nokia’s internal assessment of the iPhone, from 2007. They got the interface changed everything, and thought about apps, but failed to anticipate that Apple wouldn't disrupt by targeting the high-end
Last Q, Netflix added nearly 19m new paid subs - their biggest quarter ever. Plus, the ads plan accounted for over 55% of signups where available
Five years of React Native at Shopify - lessons learned and what the future holds
Sales knowledge automation platform 1up gets a third of its customer leads from memes
Oh yeah and ICYMI, Trump launched 2 memecoins just before his inauguration, with quite the backlash from many in the crypto industry
⌚️ Productivity Tapas: Time-Saving Tools & GPTs
OpenLIT: A programming tool to simplify tasks such as experimenting with LLMs, organising prompts, and securely handling API keys
Prompt Panda: Never lose an optimised prompt again
DryMerge: connect to business apps and use AI to automate repetitive tasks (think AI Zapier)
Flowdrafter: A (weird-at-first!) free tool to help you write more productively by preventing you from editing as you go. Instead, get your first draft written as quickly as possible. Once you have a first draft, you can then edit and refine it as you like. Combine with talking to your laptop (last week’s productivity hack) for serious writing productivity
Remember, as a subscriber you can access the full time saving tools database for fast approaching 300 time-saving tools relevant for product managers and founders 🔥. Check the link below to access 👇️ .
🍔 Blog Bites - Essential Reads for Product Teams
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Strategy: The Last Strategy Framework You'll Ever Need
Here’s another great piece from John Cutler. In it he states: "Strategy isn't inherently hard because of frameworks or because we somehow lack a strategy definition... it's hard because of the messy, dynamic, and human contexts in which frameworks are applied."
TL;DR: The challenge lies not in picking the "perfect" framework but in applying it within complex organisational contexts.
Key Takeaways:
• Recognise that all frameworks share common elements despite different approaches
• Choose frameworks based on your organisation's context and thinking style
• Focus on answering key questions rather than perfect framework execution
• Embrace uncertainty and probabilistic thinking
• Consider organisational dynamics when implementing strategy
• Balance structure with flexibility in strategic planning
• Adapt frameworks to fit your team's cognitive styles
• Focus on collaborative decision-making
• Remember strategy is about choices made together
• Use frameworks as tools for thinking, not rigid solutions
Brand: How Not To Be Boring: Stand Out Or Die Trying
In this post from last year, James Hawkins of PostHog dives into the importance of a strong brand for startups, arguing that in a crowded software world, a distinct and memorable identity is crucial.
Instead of following generic design templates, he advocates for a brand that reflects your unique values, target audience, and personality.
Hawkins shares how PostHog’s intentional branding choices—from a quirky website to a dedicated merch store—create an experience that resonates with its ideal users, especially engineers and technical founders.
The message? Don’t settle for average; go all in to build a brand that truly stands out.
Key Takeaways
1. Create a Brand for Your Ideal Audience: Identify and focus on your core users. PostHog tailored its brand to resonate with engineers and technical founders, with specific content and product features that appeal to their needs.
2. Reflect Your Authentic Values: Build a brand that’s a genuine reflection of who you are. PostHog’s decision to prioritise open-source and ship new features aligns with its founders’ love for building, creating a natural appeal to users who value transparency and innovation.
3. A Brand is More Than a Website: Branding is about the entire experience—from website design and customer support to product updates and pricing. Every touchpoint contributes to how users perceive your company.
4. Don’t Shy Away from Being Bold: A strong brand may alienate some, but it will deeply resonate with your best customers. Make intentional choices that reflect your brand’s personality, even if it’s unconventional.
5. Iterate and Refine Constantly: Brand building is ongoing. Start small and continually improve over time. PostHog’s merch store evolved from a simple Shopify setup to a custom-built, integrated experience that reflects their brand’s quirks.
People: Why I want more high-output generalists on my team
In this post, Greg and Taylor of Personal Math delve into the essential role of high-output generalists—those versatile, adaptable team members who can propel projects forward quickly, regardless of changing conditions or limited resources.
They explore what makes these high-output generalists invaluable for lean teams and break down the core skills and traits they exhibit. From working swiftly and independently to staying calm under pressure, they hypothesise that it’s these individuals that provide the momentum that every growing company needs.
Key Takeaways :
1. Speed and Efficiency High-output generalists break down big tasks into manageable parts and work fast, even in short time slots. They keep projects moving by leveraging small windows of time rather than waiting for lengthy work sessions.
2. Self-Sufficiency in Key Skills Equipped with basic skills in deck creation, data analysis, writing, and organization, high-output generalists don’t need to rely heavily on others, which allows them to control the pace and timeline of their work.
3. Calm in Chaotic Situations These individuals don’t get overwhelmed by changing scopes or feedback; instead, they view adjustments as part of the process. Their calmness and resilience are invaluable in dynamic environments.
4. Effective Prioritization High-output generalists quickly assess tasks for impact and urgency, enabling them to balance multiple demands without getting bogged down by minor requests or distractions.
5. Rapid Prototyping They excel at creating a viable first version (V1) of any project quickly. This helps gather feedback early, keeping projects aligned and moving forward.
Advice for Hiring High-Output Generalists: Hiring high-output generalists is challenging, as traditional interviews may not reveal their skills effectively. Greg and Taylor recommend using a take-home assignment that mirrors real work conditions—tight deadlines, incomplete information, and open-ended tasks. This method tests for the essential traits of high-output generalists, providing a more accurate assessment of a candidate’s adaptability and productivity. In today’s competitive market, a high-output generalist can be the difference between stalling and scaling. As Greg and Taylor note, "If you’re trying to stand out as a candidate, take the assignment seriously," as it often reveals more about your fit than a resume ever could.
🎙️ Pod Shots - Bitesized Podcast Summaries
Remember, subscribers get access to an ever growing database of all the top Podcast summaries we’ve ever created. Check it out below 👇️
🤖 UiPath's Daniel Dines on Why Agents Do Not Mean RPA is F***ed
Today’s Pod Shot dives into the recent 20VC Podcast episode featuring Daniel Dines, the Founder and CEO of UiPath. For 10 years, UiPath was a bootstrapped company that scaled to just $500K in revenue. Then it all changed, product market fit became obvious and the rest is history. The company went on to raise funding from Sequoia, Accel, Kleiner Perkins and more. Today, the company is worth over $10BN, listed on the NASDAQ and does $1BN+ in revenue.
It’s a technical topic, but this is such a hot topic it’s essential up-skilling for all PMs to get to grips with.
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20 VC
🎥Watch the full episode here
📆 Published: December 18th, 2024
🕒 Estimated Reading Time: 4 mins. Time saved: 62 mins🔥
🤔 The Future of Enterprise AI & RPA
In a world buzzing with AI agents, many are quick to write off RPA (Robotic Process Automation) as yesterday's technology. Daniel Dines, founder and CEO of UiPath, presents a more nuanced view: RPA and AI agents serve fundamentally different purposes in the enterprise.
RPA excels at rule-based, repetitive tasks spanning multiple business systems, while agents handle non-deterministic decisions requiring judgment. For example, RPA might automate a 200-step process with structured inputs and clear rules, while an AI agent might assist with interpreting unstructured data or making recommendations based on context.
Dines emphasises that these technologies are not mutually exclusive. Instead, they complement each other, with RPA handling the structured, predictable workflows and agents stepping in for the ambiguous, judgment-based tasks.
Key takeaways for founders and product managers:
RPA is not obsolete; it’s still the best solution for rule-based, repetitive tasks.
AI agents are better suited for tasks requiring judgment or interpretation.
The future lies in combining RPA and agents within a unified workflow.
When building automation solutions, focus on the task type to determine the right tool.
🎯 Product Over Innovation
One of the most striking insights from Dines is his emphasis on product excellence over pure innovation in the current AI cycle. He argues that at this stage, ease of use, simplicity, and reliability matter more than technological sophistication.
He points to Cursor AI as an example of a product that "just works." Built on top of multiple LLMs, Cursor AI delivers a seamless user experience that has won over developers. Similarly, UiPath’s early success came from creating a magical experience where users could record and automate workflows in minutes, compared to competitors like Blue Prism, which required days of effort.
Dines believes that the models themselves have reached a level of maturity, and the real opportunity now lies in building intuitive, AI-first products that deliver value without overwhelming users with complexity.
Key takeaways for founders and product managers:
Focus on creating magical user experiences rather than chasing cutting-edge innovation.
Simplicity and reliability are key drivers of adoption in enterprise software.
Build products that solve real problems and "just work" for your users.
Don’t overcomplicate your product with unnecessary features—prioritise usability.
🏗️ The Future of Enterprise AI
Dines presents a realistic view of enterprise AI adoption: it’s going to take 5-10 years for agentic automation to achieve widespread deployment. Why? Because enterprises prioritise predictability and reliability over innovation.
He explains that enterprises prefer workflows to fail rather than be "too smart." This is why UiPath’s approach to agentic AI focuses on human validation. Agents make recommendations, but humans remain in the loop to validate decisions before actions are taken.
Dines also highlights the importance of building AI systems that integrate seamlessly with existing enterprise workflows. For example, UiPath’s orchestration layer connects rule-based RPA tasks with agentic AI, ensuring that both technologies work together in harmony.
Key takeaways for founders and product managers:
Enterprise AI adoption is slow because businesses prioritise reliability over innovation.
Build AI systems with human oversight and validation mechanisms.
Focus on integrating AI into existing workflows rather than replacing them entirely.
Predictability and trust are key to winning over enterprise customers.
🎭 The Orchestration Play
One of UiPath’s most interesting strategic moves is its positioning as the "Switzerland of platforms." Dines argues that while companies like Salesforce want to build agents for specific use cases, enterprises won’t want to move data between systems. Instead, they need an orchestration layer that works across platforms.
UiPath’s orchestration engine connects rule-based RPA tasks with agentic AI, allowing enterprises to manage both low-skilled (robotic) and high-skilled (agentic) tasks within a single framework. This neutrality gives UiPath a unique advantage in the enterprise market, where customers value flexibility and interoperability.
Dines also points out that most RPA tasks today span multiple platforms, requiring data from two or more systems to make decisions. This makes an agnostic orchestration layer essential for enterprise automation.
Key takeaways for founders and product managers:
Neutrality is a competitive advantage in enterprise software.
Enterprises value flexibility and interoperability over vendor lock-in.
Build orchestration layers that connect multiple platforms seamlessly.
Focus on solving cross-platform challenges to create value for your customers.
👥 Leadership in the AI Era
Dines offers refreshingly honest perspectives on leadership. He dismisses corporate buzzwords like "alignment" and "empowerment," advocating instead for direct communication and reducing bureaucracy. He believes in giving teams the freedom to take big bets and drive change, rather than micromanaging them.
He also admits to having two communication styles: direct (which he sees as a sign of respect) and indirect (when he’s avoiding confrontation). For Dines, the key to re-energising a team is transparency—acknowledging mistakes, setting clear goals, and empowering people to take ownership of their work.
Key takeaways for founders and product managers:
Authenticity in leadership is more important than following prescribed management practices.
Reduce bureaucracy and empower teams to take ownership of their work.
Be transparent about challenges and mistakes to build trust with your team.
Direct communication fosters respect and alignment more effectively than corporate jargon.
🎯 Personal Growth and Success
Some of the most powerful insights from Dines come from his personal reflections. He spent years at Microsoft feeling lonely and depressed but saw it as necessary preparation for building UiPath. He regrets spending his 20s, 30s, and 40s wanting more material things, describing it as "a total waste of cycles and energy."
Dines now believes that true freedom comes from not wanting things. He focuses on doing his best work without being attached to the outcome, which he describes as a liberating mindset.
Key takeaways for founders and product managers:
Don’t let the pursuit of success prevent you from enjoying the journey.
Focus on the impact you’re making rather than external validation.
True freedom comes from letting go of material desires and focusing on what matters.
Use challenges as preparation for future success.
🔮 The Future of Work
Dines envisions a future where humans move from doing to overseeing, with technology handling most of the repetitive tasks. He compares this to agriculture’s transformation, where 50% of the population once worked on farms, but now only 2% do, thanks to automation.
While this shift may sound dull, Dines believes it will free people to focus on more meaningful work. He also emphasises the importance of designing automation tools that make oversight roles engaging and rewarding.
Key takeaways for founders and product managers:
Build products that augment human capabilities rather than just replacing them.
Consider the human element in automation—how can you make oversight roles meaningful?
Embrace the long-term societal benefits of automation, even if the transition is challenging.
Focus on creating tools that empower people to do their best work.
This was a great podcast - it’s well worth a listen to get into the richer examples Daniel Dines’ offers around agentic AI and how to balance technical innovation with human-centred design and leadership.
I also happen to agree with his take that success in the AI era isn’t about having the most advanced technology but rather about creating reliable, usable products that solve real problems while considering the human element in every solution. Somewhat as it’s always been…
🎥Watch the full episode here
📅Timestamps:
(00:00) Intro
(01:03) Why Does Product Matter More Than Innovation in AI?
(08:08) What’s Next for UiPath with Product as the Priority?
(09:15) Why Is RPA Compatible with Orchestration & Agents?
(13:16) Will Enterprises Split Vendors for Rule-Based vs. Non-Rule-Based?
(18:38) How Long Until Users Fully Trust AI Agents?
(25:43) Why Doesn’t Wall Street Value UiPath’s Position More?
(29:27) How Will Agents Reshape Roles & Functions in Enterprises?
(33:07) Will AI-Driven Verification Reduce Company Size?
(42:01) UiPath’s Biggest Challenge in the Next 2 Years
(43:47) Thoughts on Founder Mode
(46:26) Daniel’s Way To Motivate His Team
(48:26) Biggest Management Rules Daniel Thinks Are BS
(49:17) Which Part of the CEO Role Daniel Struggles With Most?
(50:45) The Recent Decision Daniel Wishes He Could Undo or Do
(52:41) How Daniel Balances Gratitude with Ambition?
(56:57) Quick-Fire Round
That’s a wrap.
As always, the journey doesn't end here!
Please share and let us know what you would like to see more or less of so we can continue to improve your Product Tapas. 🚀👋
Alastair 🍽️.
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