A second Askitalks event in Rome on September 28, 2026, focused on the intersection of human capital and artificial intelligence in Italy, addressing what organizers termed the skills challenge for the country's economic growth.

Roberto Bonomo, a chartered accountant and partner at a Rome-based firm, spoke as a keynote speaker, emphasizing that the most effective approach to overcoming professionals' resistance to AI involves recruiting individuals capable of integrating the technology responsibly and rigorously into existing business processes.

The event, moderated by Askanews director Gianni Todini, brought together representatives from education, business, and technology sectors. Data from the People Readiness Report, cited by Marco De Luca of Kyndryl Italy, indicated that only 23 percent of managers believe their companies possess adequate skills for responsible AI use, a decline from previous years.

Universities such as UNINT are integrating cybersecurity into humanities and social science programs while developing AI applications to assist elderly and disabled individuals. Fabio Bisogni, UNINT president, warned of a widening gap between those who control technology and those affected by it.

The school trade union sector, represented by Vito Castellana, expressed concerns about introducing AI too early in primary education, arguing it could harm basic learning and critical thinking skills. Graziano Boni, director general of Ised, emphasized that generative AI will free workers from repetitive tasks and create new job categories, while stressing the need to address ethical and security concerns through updated regulations.

Professional orders, represented by Bonomo, called for urgent digital literacy improvements and better governance of AI systems. Confapi's Passarello highlighted the disadvantage smaller businesses face compared to large tech companies and suggested expanding AI applications to workplace safety.

Fondazione Italia Digitale presented examples where AI complements rather than replaces workers, including healthcare data collection and parliamentary support services. However, cybersecurity expert Giuseppe Izzo warned that up to 93 percent of AI tools fail to comply with DORA, AI Act, and GDPRA regulations, raising concerns about the reliability of AI-powered security systems.

Alessandro Taurino of pharmaceutical startup Kitabii noted that AI development remains concentrated in specific geographic and industrial regions, giving established companies a competitive edge through access to vast amounts of user data.

Original Sources/Tags: liberoquotidiano.it, nuovogiornalenazionale.com, stream24.ilsole24ore.com, askanews.it, en.ilsole24ore.com, askanews.it, ncronline.org, policymagazine.ca, (roberto), (italy), (human), (capital), (artificial), (intelligence), (skills), (challenge), (growth), (rome), (challenges), (professionals), (technologies), (resistance), (recruiting), (technology), (business), (processes), (technological), (standards), (operational), (efficiency), (innovation), (implementation), (workplace)

The article reports that Roberto Bonomo spoke at an event in Italy about human capital and artificial intelligence, but it does not give a normal person clear steps to use this information right away. It mentions that he discussed challenges professionals face when adapting to new technologies and that he emphasized recruiting professionals who can integrate AI responsibly, but it does not explain how to find such professionals, what qualifications to look for, or where to start. A reader cannot act on this information without searching elsewhere for basic access details.

The article includes some general observations about balancing innovation with careful implementation, but it does not explain how many businesses have adopted this approach, what percentage of companies successfully integrate AI, or how these figures compare to previous efforts. Without context, the observations do not teach the reader whether the strategy is effective or worth their time.

The relevance of the article is limited to professionals in Italy who work with human capital or artificial intelligence, especially those in leadership roles at companies considering AI adoption. For someone outside that group, the information has little bearing on their daily life, finances, or responsibilities. Even for business leaders, the article does not say whether the approach works in small companies, how long it takes to see results, or whether it works better than existing strategies.

From a public service standpoint, the article offers no warnings, safety guidance, or emergency information. It reads like a press release meant to announce a speaking engagement rather than inform the public about risks or practical steps. There is no advice on how to verify the quality of AI integration, what to do if the technology causes problems, or how to report issues.

The practical advice in the article is vague. It says the most effective approach involves recruiting professionals who can integrate AI responsibly, but it does not show examples of what those professionals do, what skills they need, or how to identify them. A reader cannot judge whether the approach meets their needs without more concrete guidance.

The article focuses on a single speaking event and offers no long term planning value. It does not explain how the ideas might evolve over time, whether they will remain relevant, or how users can continue building skills after the event. There is no guidance on how to evaluate similar talks or how to avoid programs that look promising but deliver little.

Emotionally, the article creates a sense of optimism through phrases like "responsible and rigorous integration" and "ethical standards," but it does so without giving readers a way to verify these claims. The tone is reassuring but not grounded in evidence the reader can check, which can lead to misplaced trust rather than informed decision making.

The language leans toward promotional framing. Phrases like "keynote speaker" and "expert to explore" sound impressive but are not backed by specifics. The article overpromises on what the approach can do while underexplaining how it works, which is a common trait in content designed to attract attention rather than provide substance.

The article misses several opportunities to educate. It could have explained how AI tools for workplace integration typically function, what users should watch out for when relying on automated systems, or how to combine digital tools with human judgment. It could have offered basic tips on evaluating AI consulting services or warned about sharing sensitive business data with new platforms.

For readers who want to assess AI adoption strategies on their own, a practical approach is to start by checking official business resources directly rather than relying on summaries. Look for clear case studies, user reviews from independent sources, and transparent details about costs and implementation timelines. When testing any new approach, limit the scope at first and see how accurate and helpful the results are before scaling up. Comparing multiple strategies side by side can reveal which ones actually save time versus which ones add extra steps. If a service seems too good to be true, it is wise to ask whether there are hidden costs or requirements that were not clearly stated. Building a simple checklist of goals, such as improving efficiency or reducing errors, can help a reader decide whether an AI strategy is worth pursuing. When in doubt, reaching out to local business networks, chambers of commerce, or industry associations can provide free guidance that does not depend on a single speaker or event.

When evaluating any new technology or strategy, start by asking what specific problem it solves and whether that problem affects you directly. Look for evidence that goes beyond testimonials, such as measurable outcomes or independent reviews. Consider the total cost, including time spent learning, potential mistakes, and ongoing maintenance. If something is unclear, ask for concrete examples before committing resources. Take small steps first, and only expand once you have seen reliable results. Trust your own judgment when something feels rushed or overly complex, and remember that the best solutions often improve existing processes rather than replacing them entirely.

The text calls Roberto Bonomo a keynote speaker without saying what makes him an expert on artificial intelligence. This title gives him authority without proof. It helps him look more important than he may be. The word "keynote" pushes the reader to trust him. This is a bias that lifts one person up.

The text says the most effective approach to overcoming resistance to AI involves recruiting professionals who can integrate the technology responsibly. This sounds like a fact but is really an opinion. It hides the real problem of workers losing jobs. The word "effective" pushes the reader to agree. This is a trick that makes one side look right.

The text says businesses can adapt to technological change while maintaining ethical standards and operational efficiency. This sounds balanced but only shows one side. It does not say what happens to workers who cannot adapt. The word "maintaining" hides the cost of change. This is a bias that helps companies.

The text says Bonomo emphasized balancing innovation with careful implementation. This makes AI sound safe and helpful. It hides the risk of job loss and control. The word "supportive tool" pushes a soft feeling. This is a trick that hides the real danger.

The text says the event brought together experts to explore how businesses can adapt. This makes the meeting sound fair and open. It does not say who paid for it or why. The word "experts" gives trust without proof. This is a bias that hides the real purpose.

The text carries a quiet sense of confidence that begins with the clear statement that Roberto Bonomo spoke as a keynote speaker at the second session of Askatalks, a phrase that establishes his role and importance without raising its voice, and this confidence is reinforced when the event is described as focused on human capital and artificial intelligence in Italy, a topic that sounds serious and forward-thinking, giving the reader a feeling that something meaningful is taking place. A note of concern appears in the words challenges professionals face when adapting to new technologies, particularly artificial intelligence, where the word challenges signals that there is a problem to solve and the phrase adapting to new technologies suggests that change is not easy, and this concern is deepened when the text mentions resistance to AI, a word that carries the weight of pushback and hesitation, making the reader feel that many people are struggling with this shift. A feeling of hope emerges in the description of the most effective approach to overcoming resistance involving recruiting professionals who can integrate the technology responsibly and rigorously into existing business processes, where the phrase most effective suggests that there is a solution and the words responsibly and rigorously give the reader a sense that the approach is careful and well-planned, guiding the reader to believe that progress is possible if done the right way. A sense of purpose shows up in the event title, Human Capital and Artificial Intelligence, The Skills Challenge for Italy's Growth, where the word growth implies that this is not just about technology but about the future of the country, and this purpose is strengthened when the text mentions that the event brought together experts to explore how businesses can adapt to technological change while maintaining ethical standards and operational efficiency, phrases that make the reader feel that the discussion is balanced and thoughtful rather than rushed or careless. A feeling of caution appears in Bonomo's remarks highlighting the importance of balancing innovation with careful implementation, where the word balancing suggests that there is a risk if things are done too quickly and the phrase careful implementation gives the reader a sense that safety and control matter, and this caution is meant to guide the reader to understand that AI should not be adopted blindly but with attention and care. The text closes with reassurance in the statement that Bonomo's remarks emphasized that AI serves as a supportive tool rather than a disruptive force in the workplace, a phrase that calms fears by suggesting that the technology can help rather than harm, and this reassurance helps the reader feel that the future of work can be positive if managed well.

These emotions guide the reader by first grounding the message in a clear and credible setting so the reader feels that the discussion is important and trustworthy, then by naming the challenges and resistance in a way that feels honest and relatable so the reader recognizes the problem as real and ongoing, then by offering a path forward that is specific and thoughtful so the reader feels that progress is possible without panic, and finally by surrounding the reader with a sense of balance and support so the reader knows that the approach being discussed is careful and aimed at helping rather than hurting. The movement from confidence to concern to hope to caution to reassurance creates a complete emotional arc that moves the reader from understanding to acceptance to a willingness to see AI as something that can be managed with wisdom.

The writer persuades by choosing words that carry quiet strength rather than loud claims. The phrase keynote speaker is stronger than speaker and carries the weight of authority. The word challenges replaces problems or difficulties and fixes the situation as something that can be worked through. The term resistance to AI is precise and final, leaving no room for denial. The construction most effective approach turns a possible solution into a clear path forward. The verb integrating sounds more deliberate than using or adopting and gives the reader a sense of control. The phrase responsibly and rigorously adds a layer of care that makes the reader feel that the process is not reckless. The repetition of experts and ethical standards builds familiarity and trust through presence. The text does not tell a personal story or use dramatic comparison. Instead it relies on the steady accumulation of factual language that carries hidden feeling, allowing the message to appear neutral while guiding the reader toward clarity, urgency, and the confidence to see AI as a tool that can be shaped with care and purpose.