Regardless of one’s opinion of Donald Trump, he will likely follow through on his major initiatives and the threats he makes.

In many ways, his approach to U.S. politics mirrors Ryanair’s, using the strategic threat of withdrawal of support to secure favourable terms. Like Ryanair, which frequently leverages the possibility of removing its flight operations to negotiate ultra-low airport rates, he employs similar tactics to ensure his demands are met.

The United States is a global superpower, and Trump’s decisions will affect the UK and its economy in various ways. Focusing specifically on travel, let’s examine the potential impacts on outbound holiday prices.

Trump has pledged to end the Russia-Ukraine conflict, using the leverage of either reducing or doubling arms support to Ukraine to bring President Putin to the negotiating table, accepting current territorial gains and a ban on Ukraine joining NATO as conditions for peace. I believe this approach will succeed, significantly easing restrictions on Russian gas and oil exports.

Similarly, he plans to push Israel toward a Palestinian agreement, stabilising the Middle East and further reducing oil prices.

Finally, Trump intends to roll back Biden’s green policies to control global warming, adopting a ‘Drill, baby, drill’ approach to boosting U.S. gas and oil production.

Conclusion: Aviation fuel prices will likely fall in the coming years, reducing holiday costs.

The dollar’s strength is the second most significant factor affecting flight prices, as nearly all low-cost airlines lease aircraft in dollars. Since Trump’s election, the dollar has strengthened against the pound, pushing up costs.

The trajectory of this trend hinges on the economic ramifications of Trump’s “America First” agenda, including potential 60% tariffs on Chinese imports and the deportation of up to 10 million undocumented workers. As many analysts predict, these policies could trigger an inflationary spiral, potentially leading to interest rate hikes that may paradoxically bolster the dollar while diminishing domestic wealth.

Elon Musk’s appointment as a special advisor on government efficiency could prove more impactful. By leveraging AI technology to reduce federal spending by $2 trillion over the next decade, Musk’s initiatives could significantly boost economic growth and strengthen the dollar.

Conclusion: Uncertain, but a stronger dollar seems a more likely outcome pushing up flight prices, but this is likely to be more than offset by reduced fuel costs.

The strength of the pound relative to the Euro of other European beach destinations impacts both accommodation costs and customers’ spending power in resort.   

The value of the pound fairs is primarily due to our own government actions, and so far, the city has not reacted well to the massive increase in taxation required to fund the Labour Government’s investment in public services.

I believe an impending trade war within the next six months could reveal a significant Brexit advantage. Unlike Europe, which is constrained by conflicting interests among its major economies, the UK could strategically position itself as a neutral party and potentially negotiate favourable terms with both the USA and China.

The electric vehicle market exemplifies this opportunity. U.S. tariffs will likely stifle domestic demand for non-American EVs, affecting Chinese manufacturers like BYD and European automakers. Consequently, these companies may view the UK as an attractive market. The question is: what trade concessions should we demand in return?

Historically, the UK has maintained a laissez-faire approach to free trade. However, it’s time to pivot towards becoming a strategic tariff-trading nation. For example, if we reached an EV tariff-free agreement with Europe, we could offer USA and/or Chinese manufacturers a cost-effective gateway into Europe, contingent on establishing production facilities within the UK. This would leverage our unique position in the global trade landscape.

Conclusion: Impossible to predict, but given the pound’s current low value, I could see a build-back if Labour get these tricky negotiations right, reducing holiday prices.

President Trump is not even in power yet, and many are rightly scared of his potential impact on the world. However, I prefer to live in the positive camp and think we will implement one of my political party’s key objectives, “Kill less People.” Consequently, he will stabilise the fossil fuel energy supply, reducing aviation costs and boosting travel. However, the impact on the “Green Revolution” is highly worrying, and I do not doubt that Trump’s election will harm global warming and the planet’s long-term health. However, we can at least have some cheaper holidays while the world burns

Travel Companies know the importance of driving repeat bookings from previous bookers but often fail to do this effectively.

Acquiring new customers through Google PPC often incurs costs that match or exceed the profits from their initial holiday bookings. This is due to intense competition, as many holiday companies bid on long-tail traffic and core terms, driving up costs to sustainable levels only by companies with high repeat booking rates.

Traditionally, travel companies have sent “One to Many” offers with minimal personalisation, relying on customers to revisit the company’s website to check availability if they find an offer appealing.

Fortunately for the travel industry, open rates remain high at 57% due to its appealing nature, and marketers often consider this channel highly cost-effective due to its low cost. However, this perception may significantly overstate its benefits.

Recent research shows that customers who receive non-personalized emails are 40% less likely to purchase from the sender. Thus, email campaigns might generate inexpensive leads but could also decrease overall repeat bookings unless they are personalised, with 71% of customers demanding personalisation in exchange for loyalty (Ref McKinsey).

I have therefore focused the efforts of my AI Business Neural Voice in solving both this quandary whilst providing a cutting edge “Dream Stage” tool for customers.

Seeing is believing so watch a video of how it works https://www.youtube.com/watch?v=XY4AKYDnGfo

And/Or have a play yourself https://www.neural-voice.ai/characters/emily/

Previous bookers receive an email two months before their booking anniversary, inviting them to engage with AI Emily to discuss potential holiday destinations.

AI Emily has access to comprehensive internet knowledge, enabling detailed conversations about any global destination, from top hotels to the best bars and beach clubs and providing a “dream stage” tool for customers to use when deciding next years holiday destination and holiday type.

More importantly, she operates at 25% of the cost of a human agent and is available 24/7, providing “Instant Response” and engaging customers immediately in the holiday planning process. The AI stores a template of the customer information required to create a link to a live page of availability in the background, and Emily will tease this information out of a customer during a conversational process for selecting a holiday destination.

Hence, at the end of the conversation, she can directly send a WhatsApp or email link to current prices and availability to the customer while automatically updating the travel company’s CRM with these “Future Holiday” needs.

This enables the business to “Ultra-Personalize” emails by leveraging insights into the customer’s “Future Holidays” plans rather than relying solely on historical travel data.

Using McKinsey marketing metrics, Neural River estimates that this approach will double repeat booking conversions, significantly enhancing ROI from email marketing activities.

It also introduces a top-of-the-funnel “Dream Stage” tool to assist customers in selecting their holiday destinations for the following year, which may enhance customer loyalty as, frustratingly, most travel websites still require you to know where you want to go before you can use them.

The AI revolution extends beyond cost-cutting, providing new marketing channels like personalised emails and effective lead conversion from Instagram.

In the AI landscape, early adopters could outpace larger competitors, reminiscent of how low-cost carriers once disrupted large vertically integrated travel groups.

So get moving, guys.

AI is already impacting our children’s lives in the same way “Calculators” impacted my “Baby Boomer” generation. Initially, they were banned from exam environments but quickly became de facto tools as educators realised that “Mental Arithmetic” was doomed in a workplace dominated by spreadsheets and calculators.

Is humanity worse off because we have lost traditional skills such as Map reading, the ability to remember friends’ mobile numbers or the advent of “attention deficits” created by the explosion in social media? Potentially, but unlikely, unless a third world war destroys the world’s infrastructure.

Open AI created the ability to “Watermark” AI-generated content 12 months ago, allowing educational authorities to instantly spot “cheats” using AI to write/improve their coursework or exam essays. However, interestingly, it has not released the tool, as research shows that over 30% of users would abandon it for less scrupulous AI tools.

Personally, I think that just like with calculators, education needs to evolve quickly to accept the existence of AI and prepare our children for a digital world dominated by AI.

Although training children’s brains to focus for extended periods may involve reading and analysing large textbooks, the fundamental skills required will be understanding how to use digital tools to source information.

The ability to accurately “phrase” a question and delve into answers using AI tools has never been more relevant. This skill requires training, and the capability to navigate our digital world must be incorporated into the curriculum immediately.

Another rapidly evolving topic is who owns the “knowledge of the Internet”?

Large language models like ChatGPT have stripped the Internet of content to train their models on the assumption that this content is fair game as it has been published online. However, publishers like the New York Times, which copywrite their content, are already taking legal action to stop this, so it will be fascinating to see how this is resolved.

I believe that within the next 15-20 years, the “incremental cost” of creating knowledge will plummet to near zero, with knowledge freely accessible to everyone through open-source technologies, marking the true inflexion point of AI.

Humanity has always been a production engine of knowledge, with scientific breakthroughs enhancing our standard of living. Still, the AI Revolution is set to turbo-charge our creativity and working efficiency.

It also poses significant threats as “corporations” grow so large and powerful that they surpass state control. Fundamentally, AI requires vast amounts of “compute,” which only large corporations like Google, Microsoft, and Amazon can afford, likely resulting in these companies becoming even larger.

Interestingly, simultaneously, low-cost access via open-source LLMs will make the raw materials of “Entrepreneurship” cheaper and more freely available than ever.

However, the only protection for these new ideas lies in the size and scale of their user bases, with speed to market and consumer “stickiness” offering the sole defensibility in a world where technology can be instantly replicated

AI tools are anticipated to establish a new business ecosystem where small, agile businesses thrive alongside the giant LLM enterprises that supply the “computing” fuel for their operations.

Markets will “globalise” as the language capabilities of LLMs eliminate the language barriers fragmenting European markets, enabling ideas to scale more rapidly across these “mega” consumer markets, similar to the advantages enjoyed by U.S. firms over the past 50 years.

A crucial driver of national economic prosperity for a country like the UK will be the computing power it can support with its energy generation and National Grid network. The Labour government has established “GB Energy” to regain control over energy production and enhance clean energy sources such as wind, solar, and nuclear. However, the UK must also make substantial investments in its electricity distribution network, or National Grid, to ensure that this power can be efficiently delivered across the country to where it is needed to power new data centres.

In summary, encourage your children to be “open-minded” toward new technology, learn to navigate a digitally driven AI world, and speak multiple languages to maintain a personal touch in an increasingly global marketplace.

The AI genie is out of the bottle, and the world will never be the same, so adapt and ensure your children’s education evolves to meet its demands.

Being involved with an AI Incubator (Neural River) gives me access to bright young AI minds constantly monitoring new AI tools and developments.

Google’s new Jarvis AI tool for Chrome initially did not excite me as, in essence, it’s just an AI Driver “RPA Tool”. This is where a computer program can mimic the “key stokes” of a human being to complete a booking process.

These technologies have been in use for over a decade. In collaboration with the company ‘Traverse,’ I have automated various travel processes, such as booking verification and accounting reconciliation for low-cost carrier bookings, by extracting data from confirmation emails and matching it with back-office booking databases.

Once the team began experimenting with the tools, I quickly realised what a remarkable asset it was. Unlike RPA tools, which often fail whenever a webpage’s format changes, the new Jarvis tool utilises live website imagery and integrates information from multiple sources, achieving a nearly 98% success rate.

Airline XML fee wars.

Recently, I highlighted an ironic shift in the travel industry: Ryanair, by charging zero API fees, has unexpectedly become online travel agencies (OTAs) best friends after years of battling each other. Meanwhile, On the Beach (OTB) has intensified its war with EasyJet by offering a ‘Self-Book and Save’ option that allows a family of four to save £96. Through this scheme, post-booking OTB provides customers with a virtual credit card and a deep link, guiding them to book their flights directly on EasyJet’s site. Though somewhat cumbersome, many customers accept it as a way of saving such a large amount.

Google’s Jarvis tool could automate this process into a two-click procedure, removing 90% of the effort and potentially dooming API fees.

Comparison Engines.

Comparison engines such as Skyscanner and Icelolly direct traffic to supplier websites for booking completion. While this approach often maximises click-out revenue relative to acquisition costs, it significantly limits their ability to foster repeat bookings, as they lack visibility into customer data post-booking.

Leveraging Jarvis to complete bookings could soon encourage these platforms to adopt a model like Amazon’s, positioning themselves as the retailer. This would enable them to capitalise on cash flows while providing customers with a smoother, faster booking experience.

The pressure to implement this approach will intensify as AI-driven search engines, like www.Perplexity.ai (Try it), gain prominence, with customers increasingly valuing engines that provide direct ‘answers’ rather than a list of links. Naturally, these models will prefer connecting users to streamlined booking pathways that validate the best value. This suggests a comparison engine that allows customers to complete bookings directly on-site.

Homeworkers Co-pilots.

My AI-voice business, Neural Voice, is already working on Homeworker “Co-Pilot” tools to answer the phone and gather customer requirements out of hours or when they are busy with other tasks.

Research indicates that homeworkers spend 60% of their time on administrative tasks like booking flights online or entering bookings into back-office systems. By automating data loading via Chrome, we could reduce this workload by 75%, allowing homeworkers to focus more on providing a personalised booking experience for customers.

Although the same tools will make booking easier for customers, they will not replace the core function of travel homeworkers, which is providing expert human advice and guidance.

As I’ve often noted, it’s astonishing how slowly the travel industry has embraced the AI revolution. If you haven’t yet recruited a young AI-focused team, you may already be at risk of becoming a “Dinosaur” ready for extinction as the travel landscape rapidly evolves.

If artificial intelligence or AI scares you, you may want to stop reading now, as the implication of Elon Musk’s “Neuralink” project place is firmly in the “Frankenstein” horror genre.

Much discussion has been focused on the rapid development of AI and the road to artificial “General” intelligence, generally defined as when computers using AI become more intelligent than the entire human race combined. Many observers rightly worry about what role is left for the human race when AI superintelligence makes humans look dumb and irrelevant.  

The human brain is an extraordinary organic computer, with memories manifesting as electrical impulses between neurons. Our intelligence stems from consciousness, encompassing self-awareness and the ability to plan based on past experiences and future predictions. Individual memories, largely unshared collectively, drive our daily actions. Tragically, when we die, this unique intelligence and personal history typically vanish, which is massively wasteful.

AI systems, in contrast, learn collectively and preserve knowledge indefinitely. Envision a toddler mastering walking and instantly sharing this skill with all peers worldwide. This exemplifies how AI supercomputers function, explaining the exponential growth of AI technology.

Interestingly, humans are relatively slow communicators. Our brains Humans communicate, on average, at 1 bit per minute over a day, mainly via the spoken word or keystrokes.

Our brains process ideas and turn them into words to communicate them to other humans or computers via keystrokes. This forces a distillation of an idea to speak it, which is good. However, the effective transfer rate depends on how other humans interpret these words and can visualise the person’s intent. Not surprisingly, there is a lot of leakage and inefficiency here.

Humans can only communicate at 1% of the rate of computers, making us massively inefficient in their eyes. From their perspective, they must wait for an eternity to respond to their prompts for information or a response.

Through his well-funded Neuralink business, USA entrepreneur Elon Musk is focused on building a faster connection between computers and the human brain.

The company is developing implantable brain-computer interfaces (BCIs) to help those with paralysis and neurological conditions in the near term and enhancing human-AI interaction in the long term.

Neuralink’s core technology consists of ultra-thin probes inserted into the brain to detect neural signals and custom-designed electronics and software processes used to interpret brain signals. The company’s first device, the N1 Link, is a 1024-channel implant designed to be invisible once inserted and capable of wireless data transmission.

In recent interviews, Musk was clear that although the early focus was helping disabled quadriplegics and blind people overcome neural damage, this was just because the “Rewards” were significant enough to counterbalance the risk associated with this new procedure.

However, as the number of transplants grows and the risk diminishes, he expects these tools to become freely available, creating humans with superpowers.

For example, suppose Neural links can stimulate the brain to replicate regular visual sight. Why not also give the user the ability to have infrared or radar, as the computer providing the service supports these technologies?

Neuralink’s long-term vision is to enable direct brain-computer communication, potentially accelerating human-machine interaction tenfold by bypassing traditional input methods. This neural interface could theoretically provide instant access to vast online knowledge repositories, potentially revolutionising human creativity and cognitive capabilities.

This technology could theoretically enable the transfer of human memories and decision-making processes to digital systems, preserving individual cognition beyond death and potentially creating collective intelligence. Such advancements raise profound questions about the nature of consciousness, identity, and the future of humans as a race.

Whether such “Frankenstein” technologies will benefit humanity is yet to be seen, but the complete lack of regulation over AI Ethics should concern everyone.

AI development is currently dominated by companies with the largest “Compute” resources. However, the next frontier in advancing artificial general intelligence (AGI) will likely centre on access to high-quality training data. Elon Musk’s strategic investments in X (Twitter) and Tesla’s Optimus robot project potentially position him to acquire vast amounts of real-world data, which could prove crucial in realising his AI ambitions.

Where Musk is “Jekyll or Hyde,” his vast wealth allows him to steer humans’ future in the direction of his choice with little ethical oversight. Personally, I admire the guy, but just thinking through the logical conclusions to this technology scares the hell out of me.

Welcome to the future!

Based on Sam’s 2-hour interview with Lex Fridman

Interestingly, Sam regards ChatGPT 4 as just an announcement to the human race of what is coming and believes that history will define the start of the AI Revolution as when it allows thousands of scientific breakthroughs that benefit humans from cures to significant diseases or understanding whether and where alien life may exist in the universe.

So basically, we have not seen anything yet, and Open AI is attempting to release iteratively so that they don’t scare us to death with one massive lead forward we are not pre-prepared for.

The ultimate goal is AGI (Artificial General Intelligence), which, for newbies to the topic, is defined as when artificial intelligence encompasses the ability to understand, learn, and apply knowledge in a way that is not limited to a specific task or domain, or discipline”. In other words, machines are capable of independent thought.

The race between Elon Musk, Amazon, Google, Microsoft and Open AI, to name a few, is clearly on, and the winner will yield massive power.

Altman stresses that there must be clear board frameworks to ensure that no one man can yield the full power of AGI, but openly admits that the recent failure of the Open AI board, misguided or not, to successfully remove him as CEO, shows that his own business is not yet structured correctly.

Personally, having listened to several of Alman’s interviews, I am glad he is leading the charge towards AGI. He is incredibly intelligent, reasonably humble, and appears to have a clear moral compass.

But hey, I liked Boris at first, so what do I know!

Surprisingly, Altman is against adding advertising revenue into Open AI’s income stream because it will add “bias” to the models and potentially distort the route to the “right answer” for the customer. He prefers that customers pay higher fees for ad-free, unbiased models, but he accepts that competition may force his hand.

The biggest restrictor of AI in the short term is “Computing Power,” and Altman flagged that AI needs to start getting smarter at allocating and charging for computing resources between simple questions and answers to complex mathematical formulas. Currently, Open AI charges a flat fee per response, ignoring the processing cost of creating the response.

Altman talks about “Compute” being the currency of the future and believes we need to power these computers via nuclear fission or fusion. He flagged that it is the “theoretical”  fear of Nuclear meltdowns like Chornobyl that has put humans off nuclear energy, when in reality, the death toll from the pollution from coal power stations has been much higher and that the future needs to be a clean nuclear if we are to avoid further Global warming.

Sadly, Sam Altman also believes it’s likely that the controversy over AGI is likely to trigger his assassination by a gun-toting American reactionary, preventing him from seeing the benefits that AI can deliver to the human race.

Unfortunately, I think of all his prophecies, this is the most likely to be right.