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AI is great but so is chatting to a person

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While the increasing sophistication of AI tech means we don’t have to talk to people as often, it doesn’t mean we shouldn’t reach out anyway, argues Jonathan McCrea in his latest column.

When you’re a kid, you think your dad knows everything.

As a curious child, I was always drilling my father for all sorts of information. He seemed to have an answer to any question, no matter how complicated. Capital of Yugoslavia? What is a section 23? Why did granny call Charlie Haughey a cheeky bollox?

As I grew up though, I realised that my dad did not stop knowing things. In my 30s and 40s, I found myself still regularly asking him how to do things, particularly in the area of money and DIY, but equally he gives me detailed historical context to global conflicts.

The intention of most technology companies is to create a frictionless user experience: seamless, intuitive and efficient. A service or product that makes the typically stressful interaction with a stupid machine feel effortless and even fun.

From Tinder to Amazon, Uber Eats to Revolut, Intercom chatbots and the Passport Express Service, success is measured in minimal human engagement and a satisfactory outcome. The unintended consequence of reducing friction is the reduction of human interaction.

‘AI is reducing the number of times I speak to people’

People make mistakes, they can be slow, smell bad, be in a crappy mood, be apathetic or even in the case of one recent visit to a supermarket till, downright malevolent. They can want you to stay and have a cup of tea when you really have to get back to that thing you are supposed to be doing.

Apps do not do these things. AI does not do these things.

And I recently realised that AI is directly reducing the number of times I speak to people. This is a good thing.

I don’t ring helplines for information anymore. Perplexity will have the answer for me, in a very convenient format, in seconds. I don’t ask for different human perspectives on my work so much because it can take an hour to get an email back and ChatGPT can give me one hundred different perspectives in the blink of an eye. I also don’t call my dad as much over my accounts or fixing leaks in the plumbing.

My boiler was giving me an error last week. I took a photo of what I could see: the screen, the boiler logo, the pipes underneath it and asked an AI what I should do. It identified a pressure problem, showed me how to reduce it and even identified which tap to close.

A few months ago, it helped me with a plugboard that was drawing too much power. It had melted the plastic and could have easily caused an electrical fire. I even got the AI to watch a bloated 20-minute car maintenance video for me and just tell me what three steps I needed to take to flush out the wrong coolant I had just put in.

These are things that my dad, the oracle, would usually have called over to examine, and maybe stop to have a cup of tea while he was here.

Our obsession with convenience has a price that I don’t think is fully appreciated. And AI will bring a level of convenience we can only dream of. We are already meeting, seeing, acknowledging and speaking to less people every day.

We need to talk

As a science broadcaster, I wouldn’t dream of attempting to claim causation, but there is a striking correlation between declining mental wellbeing and our increasing use of personal technology.

In the US, teen depression, self-harm and suicide-related outcomes sharply increased in the early 2010s as smartphones reached critical mass. Younger generations, who use convenience technologies the most, have seen the largest increases in loneliness and depression.

In Ireland, similar upward ticks on loneliness and anxiety coincide with increasing technologically based isolation.

‘We are losing the opportunity for serendipitous connection’

Many researchers have suggested a direct link here, but as I say it’s difficult to prove. What we can probably agree on is that our reduced exposure to real people is probably not great for our general social skills, mental health and basic trust in our fellow human beings.

While all of this increasingly convenient technology can definitely reduce stress and save time, we are losing the opportunity for serendipitous connection. Maybe the delivery guy who got replaced by a drone was super cute. Maybe the broadband customer service woman would have given you an unexpected moment of compassion or warmth. Maybe you’d have felt seen and understood in a way that a cheery app can never really make you feel.

I’ve started to combat my natural urge to default to technology in small ways. I start conversations with dog-walkers. If I find myself in a long queue, I’ll start a conversation with someone.

What I think I’ve found is that most people really want to talk too, but often don’t want to impose, or don’t know how to break the ice and so they use their phone as a way of hiding their awkwardness.

We’ve all walked into an elevator and scrambled for the phone to avoid making eye contact, which if you think about it for a second is just plain weird.

I know there’s probably a whole generation of people who will read this and recoil in horror at the initiation of conversations from a total stranger, but they are also the generation that populate the spikes in the research above.

I’m gonna go call my dad now, I think the water tank has sprung a leak.

For more information about Jonathan McCrea’s Get Started with AI, click here.

Don’t miss out on the knowledge you need to succeed. Sign up for the Daily Brief, Silicon Republic’s digest of need-to-know sci-tech news.



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A Strategic Inflection Point for AI and Corporate Alignment

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The Trump administration’s recent AI Action Plan and the high-profile Tech Summit in the newly renovated White House Rose Garden mark a pivotal recalibration of U.S. technology policy. By aligning corporate priorities with federal deregulatory ambitions, the administration is reshaping the investment landscape for artificial intelligence. This analysis explores the strategic implications of this alignment, focusing on how Trump’s policies are redefining risk, reward, and global competitiveness in the AI sector.

Deregulation as a Catalyst for Innovation

The administration’s AI Action Plan, unveiled on July 23, 2025, prioritizes accelerating innovation through regulatory rollbacks. Over 90 federal policy actions aim to remove barriers to AI development, including streamlined permitting for data centers and reduced environmental restrictions on infrastructure projects [2]. For instance, the use of categorical exclusions under the National Environmental Policy Act (NEPA) now expedites data center construction, a move that could unlock billions in private investment. According to a report by Bloomberg, this deregulatory push has already spurred a 20% surge in capital expenditures by hyperscale cloud providers in Q3 2025 [4].

The emphasis on “ideological neutrality” in federal AI procurement, formalized via the “Preventing Woke AI” executive order, further signals a shift in priorities. By mandating that AI models adhere to “truth-seeking” principles, the administration is fostering a market environment where companies like Nvidia and Microsoft—whose open-weight models align with these guidelines—stand to gain significant federal contracts [5]. This creates a dual opportunity: firms that adapt to the new framework may secure lucrative government partnerships, while those lagging in compliance risk marginalization.

Infrastructure and Export-Driven Growth

A cornerstone of the AI Action Plan is the push to build domestic AI infrastructure, including semiconductors and data centers. The administration’s call for a single federal standard—replacing a patchwork of state-level regulations—has already influenced investor behavior. Morgan Stanley notes that tech stocks in the S&P 500 accounted for 80% of the index’s gains in 2025, with AI-related equities outperforming by a 15-point margin [4]. This trend is amplified by the administration’s focus on exporting the “American AI Technology Stack” to allies, a strategy that could expand markets for U.S. firms while countering Chinese influence [3].

However, this infrastructure push is not without risks. Critics warn that reduced environmental oversight could lead to long-term costs, such as energy grid strain and ecological damage. Yet, the administration’s commitment to modernizing the power grid—part of its AI Action Plan—suggests a calculated effort to mitigate these concerns through public-private partnerships [5].

Corporate Alignment and Investor Sentiment

The Trump administration’s summit with tech leaders like Mark Zuckerberg, Tim Cook, and Bill Gates underscores a deliberate effort to harmonize corporate and federal agendas. This alignment has translated into investor confidence: since the plan’s announcement, the S&P 500’s AI-driven gains have surged, with Nvidia’s market cap alone rising by $1.2 trillion in six months [1].

Yet, this optimism is tempered by divergent regulatory pressures. While the federal government promotes deregulation, states like California and New York have maintained stricter AI oversight. This creates a “regulatory arbitrage” scenario, where companies may prioritize federal-aligned strategies to access funding and contracts, even if it means sidestepping state-level safeguards [2]. For investors, this duality presents both opportunities (e.g., scalable AI deployments) and risks (e.g., reputational damage from perceived ethical lapses).

Strategic Implications for Investors

The administration’s focus on global AI leadership—through alliances with like-minded nations and export controls—positions U.S. tech firms to dominate emerging markets. However, the lack of detailed implementation timelines in the AI Action Plan raises questions about execution risks [6]. Investors should prioritize companies with robust supply chains and geopolitical agility, such as semiconductor manufacturers and cybersecurity firms.

Conversely, sectors reliant on state-level regulations (e.g., healthcare AI with privacy mandates) may face headwinds. The administration’s discouragement of state-level AI rules—via funding decisions tied to regulatory climates—could force firms to choose between compliance and profitability [1].

Conclusion

Trump’s Tech Summit and AI Action Plan represent a strategic inflection point, redefining the interplay between corporate innovation and federal policy. While deregulation and infrastructure investment offer clear tailwinds for tech stocks, investors must navigate the tension between short-term gains and long-term risks. The administration’s emphasis on ideological neutrality and global competitiveness suggests a market environment where alignment with federal priorities will increasingly dictate success. For now, the data—and the market—seem to be on the administration’s side.

Source:
[1] The Trump Administration’s 2025 AI Action Plan [https://www.sidley.com/en/insights/newsupdates/2025/07/the-trump-administrations-2025-ai-action-plan]
[2] Tech companies want to move fast. Trump’s ‘AI Action Plan’ [https://www.latimes.com/business/story/2025-07-23/trump-unveils-ai-action-plan]
[3] Trump AI Summit Targets Hardware as Key to US Supremacy [https://www.bloomberg.com/news/newsletters/2025-07-28/trump-ai-summit-targets-hardware-as-key-to-us-supremacy]
[4] Q2 2025 Market Perspective [https://altiumwealth.com/blogs/altium-insights/q2-2025-market-perspective]
[5] Trump Administration Unveils AI Action Plan with … [https://www.mayerbrown.com/en/insights/publications/2025/07/trump-administration-unveils-ai-action-plan-with-implications-for-innovation-infrastructure-and-global-tech-competition]
[6] Inside Trump’s Ambitious AI Action Plan | Stanford HAI [https://hai.stanford.edu/news/inside-trumps-ambitious-ai-action-plan]



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AI, lasers and chips: the science and tech of China’s military parade

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China’s military parade on Wednesday – featuring the latest AI-powered uncrewed vehicles, laser weapons and missiles – signalled an arms race fuelled by scientific and technological advances.

Artificial intelligence, optics and physics and information technologies have underscored how innovations will shape the future of modern warfare, paving the way for futuristic intelligent systems.

“The parade featured unmanned intelligent systems, underwater combat units, cyber and electronic forces and hypersonic weapons, highlighting the growing capacity of the People’s Liberation Army (PLA) to harness emerging technologies, adapt to the evolving character of warfare, and prevail in future conflicts,” state broadcaster CCTV said.

The weapons on parade featured a “high level of informatisation, intelligence and practical combat capability, showcasing the military’s combat abilities, capabilities in new domains and strong strategic deterrence”, Dong Yongzai, a researcher at a centre under Beijing’s Academy of Military Science, told CCTV.

AI-powered equipment and vehicles

The parade showcased a variety of AI-powered uncrewed equipment.

The land combat formation showed vehicles that can perform reconnaissance, assaults, mine and bomb defusing and squad support, according to CCTV.



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Janus Health Joins Cipher Collective as Revenue Cycle Technology Provider in AI-Enabled Healthcare Initiative – geneonline.com

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Janus Health Joins Cipher Collective as Revenue Cycle Technology Provider in AI-Enabled Healthcare Initiative  geneonline.com



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