PPCC: Pisitófilos Creditófagos. Veranito 2025

[Cadavre Exquis]

https://cincodias.elpais.com/opinion/2025-08-21/maga-no-puede-dejar-caer-intel.html

Saludos.

[Cadavre Exquis]

https://cincodias.elpais.com/opinion/2025-08-21/los-frenos-a-la-opv-de-shein-indican-lo-dificil-que-es-expandirse-desde-china.html

Saludos.

[pollo]

MIT report: 95% of generative AI pilots at companies are failing

Good morning. Companies are betting on AI—yet nearly all enterprise pilots are stuck at the starting line.

The GenAI Divide: State of AI in Business 2025, a new report published by MIT’s NANDA initiative, reveals that while generative AI holds promise for enterprises, most initiatives to drive rapid revenue growth are falling flat.

Despite the rush to integrate powerful new models, about 5% of AI pilot programs achieve rapid revenue acceleration; the vast majority stall, delivering little to no measurable impact on P&L. The research—based on 150 interviews with leaders, a survey of 350 employees, and an analysis of 300 public AI deployments—paints a clear divide between success stories and stalled projects.

To unpack these findings, I spoke with Aditya Challapally, the lead author of the report, and a research contributor to project NANDA at MIT.

“Some large companies’ pilots and younger startups are really excelling with generative AI,” Challapally said. Startups led by 19- or 20-year-olds, for example, “have seen revenues jump from zero to $20 million in a year,” he said. “It’s because they pick one pain point, execute well, and partner smartly with companies who use their tools,” he added.

But for 95% of companies in the dataset, generative AI implementation is falling short. The core issue? Not the quality of the AI models, but the “learning gap” for both tools and organizations. While executives often blame regulation or model performance, MIT’s research points to flawed enterprise integration. Generic tools like ChatGPT excel for individuals because of their flexibility, but they stall in enterprise use since they don’t learn from or adapt to workflows, Challapally explained.

The data also reveals a misalignment in resource allocation. More than half of generative AI budgets are devoted to sales and marketing tools, yet MIT found the biggest ROI in back-office automation—eliminating business process outsourcing, cutting external agency costs, and streamlining operations.

What’s behind successful AI deployments?

How companies adopt AI is crucial. Purchasing AI tools from specialized vendors and building partnerships succeed about 67% of the time, while internal builds succeed only one-third as often.

This finding is particularly relevant in financial services and other highly regulated sectors, where many firms are building their own proprietary generative AI systems in 2025. Yet, MIT’s research suggests companies see far more failures when going solo.

Companies surveyed were often hesitant to share failure rates, Challapally noted. “Almost everywhere we went, enterprises were trying to build their own tool,” he said, but the data showed purchased solutions delivered more reliable results.

Other key factors for success include empowering line managers—not just central AI labs—to drive adoption, and selecting tools that can integrate deeply and adapt over time.

Workforce disruption is already underway, especially in customer support and administrative roles. Rather than mass layoffs, companies are increasingly not backfilling positions as they become vacant. Most changes are concentrated in jobs previously outsourced due to their perceived low value.

The report also highlights the widespread use of “shadow AI”—unsanctioned tools like ChatGPT—and the ongoing challenge of measuring AI’s impact on productivity and profit.

Looking ahead, the most advanced organizations are already experimenting with agentic AI systems that can learn, remember, and act independently within set boundaries—offering a glimpse at how the next phase of enterprise AI might unfold.(…)

https://fortune.com/2025/08/18/mit-report-95-percent-generative-ai-pilots-at-companies-failing-cfo/

Ese 95% es un intento por salvar a las gordas y al menos justificar "algo" de toda la tontería que se está haciendo con esto. Pero precisamente son esas las que más están metiendo a la fuerza toda esta mierda en todos los sitios y nada ha mejorado por ello.

Para mí está fallando el 100% porque es un paradigma tecnológico que no sirve para lo que se publicita (aumentar la productividad/eliminar gente). O mejor dicho, sirve si te la sopla el resultado final. Además de que es un modelo de negocio destinado al fracaso a poco que se piense.

Los casos de uso reales de la IA no son precisamente los LLM. Y lo que está en negrita es básicamente mentira porque sigue siendo la misma base incapaz de dar lo que promete (son básicamente los mismos modelos pero con más modelos intentando evaluar el trabajo o programas que les dejan interactuar con otros sistemas).

Y esto que se celebra al final del artículo, que la IA está provocando "disruption" (a esta gente se la sopla que sea bueno o malo, el caso es cambiar cosas al azar) en cosas como la atención al cliente, se la pueden meter por el culo. No sé si os ha atendido un bot de estos alguna vez en ese contexto, pero es absolutamente inútil e insultante. Exactamente lo mismo que el laberinto telefónico pero encima condescendiente y de buen rollo, con lo cual es aún más frustrante y más da la impresión de que la empresa se quiere reír del cliente a ver si desiste.

[Benzino Napaloni]

Y esto que se celebra al final del artículo, que la IA está provocando "disruption" (a esta gente se la sopla que sea bueno o malo, el caso es cambiar cosas al azar) en cosas como la atención al cliente, se la pueden meter por el culo. No sé si os ha atendido un bot de estos alguna vez en ese contexto, pero es absolutamente inútil e insultante. Exactamente lo mismo que el laberinto telefónico pero encima condescendiente y de buen rollo, con lo cual es aún más frustrante y más da la impresión de que la empresa se quiere reír del cliente a ver si desiste.

Una de las razones de que Chema Alonso no esté en Telefónica era por el artículo que ha traído Tomasjos. Los clientes de Movistar usaban Aura, el Alexa de ellos, para cambiar de canal y cuatro bobadas más.

El daño reputacional ya está hecho. Pero de esto del 95% y el 5% hay una cosa que es cierta. Duolingo y todas las que sin ser las grandes de la IA lo apostaron todo a la IA van directas al barranco. Miren este ejemplo:

https://www.google.com/search?si=AMgyJEvMEMT47SWEI-f5apj11T6NVgQMnnqBHBM3rmSsY_f2_6Zr1OrAmQL2BebYTkM8HyYxzZ7XymRkuEegFFxAM8_JjwLd8TR3BvmjGfKRPtpbMuZZtTVAr7tNQkcLhKnjE-mzN78oEiNmaHMgfxUAPykQN1wkLQ%3D%3D (solucionador de problemas matemáticos de Google).

En versión móvil hasta tiene toma de fotos y OCR. Te devuelve el problema hecho, y gratis. Un ejemplo concreto en el que la digitalización sí ha podido llegar a un resultado.

¿Qué hay de las empresas que sin ser Google o alguna otra gran tecnológica han apostado por esto mismo? Que les han reventado una parte del negocio. Las empresas que se han limitado a ser "wrappers", envoltorios de la IA, son las primeras que van a caer.

Entre esto, que las grandes se van a llevar las posibilidades reales, y que el usuario final ya sabe que la IA le sirve para cuatro cosas de recorta y colorea, pocas lecturas más tiene esto. Como ya les dije, para mí lo relevante es cómo esta burbuja está maquillando el PIB estadounidense. Y el "bujero" que dejará el crack.

[Derby]

https://www.ft.com/content/7b59d9fc-5197-4f2e-8b47-5f18eb6bf074

Russian missiles target Ukrainian cities in largest attack for weeks

Zelenskyy says Moscow struck US civilian factory and shows no sign of wanting end to war


A residential area struck by Russian drones and missiles in Lviv © State Emergency Service of Ukraine/Reuters

Russia has targeted Ukraine’s cities in the largest combined drone and missile attack in more than a month, only five days after Donald Trump’s meeting with Vladimir Putin in Alaska.

Ukraine’s air force said on Thursday that Russia had launched 574 drones and 40 cruise and ballistic missiles overnight, targeting five cities in western Ukraine as well as the industrial city of Zaporizhzhia near the southern front line.

Residents of the capital Kyiv were also woken during the night when air defences engaged Russian drones flying over the city.

One person died in Lviv, near the Polish border, as a result of the strike, mayor Andriy Sadovyi said on Telegram.

A missile strike on Mukachevo, a city 30km from the Hungarian border, targeted a major American-owned electronics manufacturing plant, Ukraine’s government said on Thursday.

President Volodymyr Zelenskyy said the Russians had hit “a regular civilian business, supported by American investment, producing everyday items like coffee machines”.

Zelenskyy added on X: “There is still no signal from Moscow that they truly intend to engage in substantive negotiations and end this war. Pressure is needed. Strong sanctions, strong tariffs.”

Andriy Sybiha, foreign minister, said on the same social media platform: “This is not the first Russian attack on American businesses in Ukraine, after strikes on Boeing offices in Kyiv earlier this year and other attacks.”

An elderly woman with a cane walks past a house damaged by a missile strike, with debris and burned trees visible.


A resident walks near a house struck by Russian missiles in the village of Sknyliv, on the outskirts of Lviv © Roman Baluk/Reuters

Texas-based electronics company Flex has a factory in Mukachevo, but it was not immediately clear if that was the plant Zelenskyy and Sybiha were referring to. Boeing’s office in Kyiv was destroyed in June.

“Overnight strikes also demonstrate the urgency of strengthening Ukraine’s air defences with additional systems and interceptors,” Sybiha said.

“Putin talks about peace, but does not take a single step to achieve it,” Andriy Yermak, Zelenskyy’s chief of staff, said of the attack on Lviv. “Instead of real solutions, we get attacks on civilians,” he wrote on Telegram.

The overnight aerial bombardment marks a significant escalation by the Kremlin after weeks of more limited attacks.

The round of diplomacy triggered by Trump envoy Steve Witkoff’s August 8 trip to Moscow, which culminated in the Alaska meeting, coincided with a sharp drop in attacks targeting the Ukrainian capital, a sign that Russia may have been trying to avoid Trump’s disapproval ahead of the meeting between the US and Russian presidents.

Trump complained in July that he would talk to Putin only to then learn about a massive missile attack over Ukraine. “And I always hang up and say: ‘Well, that was a nice phone call,’ and then missiles are launched into Kyiv or some other city,” Trump said at the time.

The drone and missile attacks never fully stopped, however. Several ballistic missiles targeted the central Ukrainian city of Kremenchuk on Tuesday, while fighting continued all over the frontline.

[Derby]

https://x.com/KobeissiLetter/status/1958349045484638452

Saludos.

https://www.pymnts.com/meta/2025/meta-halts-ai-hiring-following-recruitment-push/

Meta Halts AI Hiring Following Recruitment Push



Meta has reportedly paused hiring for artificial intelligence (AI) professionals following a massive recruitment drive.

The freeze went into effect last week and is happening amid a wider restructuring of the AI division, the Wall Street Journal (WSJ) reported late Wednesday (Aug. 20), citing sources familiar with the matter. The length of the freeze was not clear, the report added.

The news comes at the tail end of a summer that began with reports that Meta CEO Mark Zuckerberg had personally gotten involved in the company’s AI hiring efforts, offering – in some cases – nine-figure compensation packages.

According to the WSJ, a spokesperson for Meta confirmed the pause in hiring, calling it “basic organizational planning: creating a solid structure for our new superintelligence efforts after bringing people on board and undertaking yearly budgeting and planning exercises.”

This week also saw reports that Meta was dividing its AI unit into four groups, marking the fourth such restructuring in six months.

As the WSJ notes, increasing concerns about the cost of Big Tech’s AI projects has helped drive a recent selloff of technology stocks.

That trend was fueled in part by an MIT study which found that most organizations – 95% – were getting “zero return” on their investments into AI. And Sam Altman, CEO of OpenAI, had given an interview recently in which he warned of an AI bubble (while still expressing his confidence in the future of the technology).

In a research note earlier this week, analysts at Morgan Stanley warned that the compensation packages offered by Meta and Google to attract AI talent could threaten their ability to return capital to investors in the form of buybacks.

Big spending on hiring, the analysts wrote, “has the potential to drive AI breakthroughs with massive value creation or could dilute shareholder value without any clear innovation gains.”

Meanwhile, OpenAI Chief Financial Officer Sarah Friar said this week that the AI boom was just getting underway, adding that the industry  is “voracious” for GPUs and compute.

“The biggest thing we face is being constantly under compute,” Friar said in an interview with CNBC. “That’s why we launched Stargate, that’s why we’re doing the bigger builds that you see with Microsoft, Oracle, CoreWeave and so on. And we are just getting started.”

Stargate is the data center project OpenAI launched in conjunction with SoftBank and Oracle, initially conceived as a $500 billion effort. However, last month saw reports that the project was off to a slow start, shifting its goal from investing $100 billion immediately to constructing one data center by the end of the year.