Newsletter

Opportunities for AI startups in 2025 *UPDATED*

"While everyone is scrambling to implement GPT-5, some people are still making money selling buttons." The real AI opportunity in 2025 is not reinventing the wheel-it's solving real problems without burning up budgets. Undervalued niches: personalization that doesn't make customers feel like they're in Black Mirror, healthcare assistants that distinguish a cold from the emergency room, analytics for SMBs that hate Excel. Success? Not of those with the most powerful AI, but of those who make it accessible, useful and sustainable.

Semi-serious guide to surviving theartificial intelligence gold rush (while everyone pretends to know what GPT-5 really is) *UPDATED*

AI is entering its adult phase (even if it still sometimes acts like a teenager spouting off random answers). Here's where startups can really make a difference, without having to promise to save the world or predict the future that even Sam Altman doesn't know about.

The niches of the market that no one tells you about (but you should consider)

1. Personalization that isn't scary: Platforms that turn data into tailored experiences, without making customers feel like they're in an episode of Black Mirror. From ecommerce that understands when NOT to suggest a product, to content that really fits the user's tastes (and not what the algorithm thinks you should want).

2. Virtual health care assistants with a heart ♥️

  • Appointment management without the classic "we'll call you back" (yes, we're still waiting for that phone call from 2019)
  • Virtual triage that distinguishes between "I have a cold" and "I need an emergency room" (and doesn't suggest amputation for an ingrown toenail)
  • Follow-ups that don't look like they were written by a robot (although ironically, they are)

3. Content creation for humans Tools that help create content with soul:

  • SEO texts that don't look like they were written by a bot (this one is, and it shows)
  • Posts that don't make your grandchildren ashamed of you (the ones who already roll their eyes when you use your cell phone with two fingers)
  • Copy that convinces without sounding like a famous carpet salesman yelling SPECIAL OFFER!!!

4. Smart homes (but not too smart) Systems that make life easier without turning your home into the HAL 9000:

  • They learn your habits (even the most embarrassing ones like watching reality shows at 3 a.m.)
  • They optimize consumption (and your increasingly empty wallet)
  • They integrate with everything (even that smart device you bought in 2018 and never configured)

5. Analytics for SMBs who hate Excel Tools that make numbers friendly even to those who went to high school classics:

  • Dashboards that do not require a PhD in quantum astrophysics to understand
  • Predictions that look like magic (but are science, thanks to the multimodal model that even developers don't understand)
  • Insights you can actually use (and not colorful charts to impress investors)

Strategies for not failing (or at least failing with style)

  • Find a problem that really upsets someone ✅ (don't invent problems that exist only in your pitch deck)
  • Start small but dream big ✅ (your office in the garage first, Claude, Gemini and GPT's climb later)
  • Handle money as if it were your own (because sooner or later it will be, when investors stop believing in fairy tales) ✅
  • Improve constantly (but without sending updates at 3 a.m. that erase all user data) ✅

The areas that won't make you live under a bridge

  • Healthcare (people will always get sick, unfortunately, but watch out for the European AI Act rules from Feb. 2, 2025)
  • EdTech (because learning never goes out of style, and students are less and less prepared)
  • Cybersecurity (because while you are sleeping, someone is trying to hack your connected coffee maker )

The truth about 2025Successwill not belong to those with the most powerful AI, but to those who solve real problems without it:

  • Burning customer budgets (because not everyone has Microsoft's billions)
  • Promising to reinvent the wheel (when all it takes is an update)
  • Using "blockchain" and "metaverse" in the same sentence (this is a crime punished by the AI Act)

The real innovation will be to make AI:

  • Accessible (even to those who don't know what a transformer is or what GPT-5o means, which won't arrive until late 2025 anyway)
  • Useful (useful in the real world, not just in pitch decks with exponential growth charts)
  • Sustainable (both for the planet and for the bank account as training costs continue to rise)
  • Compliant with the new rules (because as of 2025, European AI Act bans are a reality, and penalties are up to 15 million euros)

Remember that while everyone is scrambling to implement Claude 3.7 Sonnet or GPT-o3, there are still those who make money selling buttons. Sometimes the simplest technology is the one that works best.

Resources for business growth

November 9, 2025

Regulating what is not created: does Europe risk technological irrelevance?

Europe attracts only one-tenth of global investment in artificial intelligence but claims to dictate global rules. This is the "Brussels Effect"-imposing regulations on a planetary scale through market power without driving innovation. The AI Act goes into effect on a staggered timetable until 2027, but multinational tech companies respond with creative evasion strategies: invoking trade secrets to avoid revealing training data, producing technically compliant but incomprehensible summaries, using self-assessment to downgrade systems from "high risk" to "minimal risk," forum shopping by choosing member states with less stringent controls. The extraterritorial copyright paradox: EU demands that OpenAI comply with European laws even for training outside Europe-principle never before seen in international law. The "dual model" emerges: limited European versions vs. advanced global versions of the same AI products. Real risk: Europe becomes "digital fortress" isolated from global innovation, with European citizens accessing inferior technologies. The Court of Justice in the credit scoring case has already rejected the "trade secrets" defense, but interpretive uncertainty remains huge-what exactly does "sufficiently detailed summary" mean? No one knows. Final unresolved question: is the EU creating an ethical third way between U.S. capitalism and Chinese state control, or simply exporting bureaucracy to an industry where it does not compete? For now: world leader in AI regulation, marginal in its development. Vaste program.
November 9, 2025

Outliers: Where Data Science Meets Success Stories.

Data science has turned the paradigm on its head: outliers are no longer "errors to be eliminated" but valuable information to be understood. A single outlier can completely distort a linear regression model-change the slope from 2 to 10-but eliminating it could mean losing the most important signal in the dataset. Machine learning introduces sophisticated tools: Isolation Forest isolates outliers by building random decision trees, Local Outlier Factor analyzes local density, Autoencoders reconstruct normal data and report what they cannot reproduce. There are global outliers (temperature -10°C in tropics), contextual outliers (spending €1,000 in poor neighborhood), collective outliers (synchronized spikes traffic network indicating attack). Parallel with Gladwell: the "10,000 hour rule" is disputed-Paul McCartney dixit "many bands have done 10,000 hours in Hamburg without success, theory not infallible." Asian math success is not genetic but cultural: Chinese number system more intuitive, rice cultivation requires constant improvement vs Western agriculture territorial expansion. Real applications: UK banks recover 18% potential losses via real-time anomaly detection, manufacturing detects microscopic defects that human inspection would miss, healthcare valid clinical trials data with 85%+ sensitivity anomaly detection. Final lesson: as data science moves from eliminating outliers to understanding them, we must see unconventional careers not as anomalies to be corrected but as valuable trajectories to be studied.