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Letter from 2028: The real AI revolution was not what we thought it was
"You are building a Ferrari for a world that will soon be moving by teleportation." A letter from 2028: Companies that simply "implemented AI" are like those that simply "created a website" in 1995. The wrong question? "How to use AI to optimize X." The right one? "If we redesigned from scratch, would X still exist?" The practical advice: devote 20 percent of your AI resources not to optimizing what you do, but to finding out what to stop doing.NewsletterThe New Gold Rush: History, Comparisons and Future Prospects
Klondike 1896: 100,000 people set out for the Yukon, few found gold-the winners were those who sold shovels. AI is a new gold rush, but with crucial differences: demand outstripping supply (not the other way around as in the dot-com bubble), immediate economic value, financially sound companies. We are at the 1995-98 equivalent of the Internet. The historical lesson? Intermediate technical skills are short-lived, domain knowledge retains value. Better to sell shovels or pan for gold?AI StrategyInevitable liberation: how AI is saving us from human mediocrity
92 million jobs eliminated by 2030-and 170 million new ones created. Net balance: +78 million. In Italy, the aging population projects a gap of 5.6 million workers by 2033. Automation is not a threat-it is the solution to an insurmountable demographic problem. What we call "laziness" is evolution: delegating repetitive cognitive work to focus on creativity, empathy and innovation. The real division? Those who embrace change and those who don't.AI StrategyExecutives' guide to investing in artificial intelligence: Understanding the value proposition in 2025
AI will automate 300M equivalent jobs globally, 92M eliminated by 2030 (WEF), 60% of jobs in high-income countries affected—but net balance positive: 170M new roles will emerge (+78M total). Most susceptible jobs: administrative 46% automatable activities, back-office, call centers, accounting. Sector results already measurable: finance -40% operating costs +40% risk management efficiency, healthcare -30-50% diagnosis times with drug discovery from 5 years to <1 year (-60% costs), software -56% development times with +30-60% time-to-market acceleration, manufacturing -80% downtime with +8% annual profits, marketing +30% conversions with -30% customer acquisition costs. Extreme salary polarization: lawyers with AI skills earn +49% vs traditional colleagues. Italy demographic case: 5.6M job gap by 2033, automation of 3.8M becomes necessity vs risk. 2025 skills: analytical thinking, creativity, social intelligence—94% of marketing leaders report positive impact on sales, 91% of companies with AI will hire in 2025. Central question: not whether AI will replace humans but which humans will adapt vs resist change.AI & forecastingThe Prediction Trap: Why Predicting the Future Isn't Enough
Sophisticated predictive models that generate predictions that no one uses-hence the "prediction trap." AI is past-oriented by definition: historical data is its raw material. It identifies correlations, not causes. The real question is not "what could happen" but "what should we do." Winning companies in 2025 do not have better algorithms-integrate AI into decision-making. The shift in perspective: seeing AI not as a prediction technology, but as a decision-enhancement technology.AI StrategyThe Winning Strategy for IA Implementation: A 90-Day Plan
87% of support teams have seen customer expectations rise, with 68% attributing this to AI. The first 90 days are essential to avoid analysis paralysis and start getting real results. The 3-phase plan covers from strategic alignment to pilot implementation and measurable expansion, avoiding common mistakes and tracking key metrics such as efficiency and revenue impact. With dedicated support and ongoing training, you will turn initial successes into a pro-IA company culture.Governance & ComplianceThe Zero Trust: Foundation of Protection in the Digital Age
The "castle and moat" of cybersecurity is dead-replaced by Zero Trust microsegmentation. Data access no longer depends on network location: users and systems must prove identity and trustworthiness with every request. Unique challenges emerge with AI: protection from pattern inversion, defenses against prompt injection, output filtering. The idea that robust security degrades performance is a myth. In the AI SaaS landscape, security is no longer just risk mitigation-it's competitive advantage.AI StrategyMid-Market Companies' AI Revolution: Why They Are Driving Practical Innovation
74% of Fortune 500 struggles to generate AI value and only 1% have "mature "implementations→while mid-market (€100M-€1B revenue) conquers concrete results: 91% SMEs with AI report measurable revenue increases, average ROI 3.7x with top performer 10.3x. Resource paradox: large companies spend 12-18 months stuck in "pilot perfectionism" (technically excellent projects but zero scaling), mid-market implements in 3-6 months following specific problem→targeted solution→results→scaling. Sarah Chen (Meridian Manufacturing $350M): "Each implementation had to demonstrate value within two quarters-constraint that pushed us toward practical working applications." US Census: only 5.4% companies use AI in manufacturing despite 78% declaring "adoption." Mid-market prefers complete vertical solutions vs. platforms to customize, specialized vendor partnerships vs. massive in-house development. Leading sectors: fintech/software/banking, manufacturing 93% new projects last year. Typical budget €50K-€500K annually focused on specific solutions high ROI. Universal lesson: execution excellence trumps resource size, agility trumps organizational complexity.Page 30 of 39