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86% of Hoteliers Say AI Automation Has Helped Them Save Time |

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HiJiffy’s white paper offers a timely reflection for an industry in transition: how to use AI not to replace people, but to empower them.


8.14.2025

From major chains to independent hotels, HiJiffy’s latest survey shows that AI is no longer a future trend, it’s a present-day reality. But as automation becomes more deeply embedded in hotel operations, a more nuanced question is emerging: where is the line?

That very question is the starting point of HiJiffy’s free white paper exploring how AI is reshaping hospitality and how to strike the right balance between technological efficiency and human touch. 

Drawing on survey responses from hospitality professionals, first-party data from the analysis of 16 million guest messages, and insights from hotel tech experts, including Mews, Oaky and Bookline, this publication explores how AI is used today and what it may be used for tomorrow.

Over 26% of hoteliers say answering repetitive guest questions is one of the most tedious parts of their job

The findings also reveal that 86% of hotel professionals say AI automation has helped them save time, especially by reducing the load of repetitive tasks like handling FAQs, performing routine admin and managing post-booking communication.

But where’s the limit?

The report doesn’t just highlight the benefits, it explores the boundaries too. When asked which tasks they believe should remain firmly human-led, hoteliers pointed to special requests, arrival/departure interactions, and personal interactions.

“Hoteliers are no longer asking whether automation belongs in their world, they’re asking how to use it wisely, where to draw the line, and how to protect what matters most: human connection,” explains Tiago Araújo, Co-Founder and CEO of HiJiffy. “This white paper is our contribution to that reflection. You’ll find insights from hotel staff already using AI, expert commentary, brand stories, and data from nearly 16 million guest messages collected over the past year.”

Rooted in real-world experience and multiple perspectives, “Where’s the Line?” is designed to be a conversation-starter. It concludes with a practical AI Readiness Checklist to help hoteliers evaluate their current strategies and ensure their approach to automation supports, rather than replaces, authentic guest care.

HiJiffy, founded in 2016, provides conversational AI solutions to improve guest communication in the hospitality industry. Its award-winning Guest Communications Hub automates interactions, increases direct bookings, and streamlines hotel operations. With HiJiffy’s AI-powered multilingual hotel chatbot, automated FAQs, digital check-ins, and personalised upselling, hotels ensure a smooth experience throughout the guest journey.

Driven by its in-house AI, Aplysia, HiJiffy leverages advanced natural language processing, generative AI, large language models, and sentiment analysis. The solution integrates with 100+ hotel management systems and channels, including social media (Facebook, Instagram), messaging apps (WhatsApp), and OTAs (Booking.com, Expedia).

HiJiffy’s white paper offers a timely reflection for an industry in transition: how to use AI not to replace people, but to empower them.

Download it for free and discover how hoteliers are using AI to save time, without losing the human touch.





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AI Research

NFL player props, odds: Week 2, 2025 NFL picks, SportsLine Machine Learning Model AI predictions, SGP

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The Under went 12-4 in Week 1, indicating that not only were there fewer points scored than expected, but there were also fewer yards gained. Backing the Under with NFL prop bets was likely profitable for the opening slate of games, but will that maintain with Week 2 NFL props? Interestingly though, four of the five highest-scoring games last week were the primetime games, so if that holds, then the Overs for this week’s night games could be attractive with Week 2 NFL player props.

There’s a Monday Night Football doubleheader featuring star pass catchers like Nico Collins, Mike Evans and Brock Bowers. The games also feature promising rookies such as Ashton Jeanty, Omarion Hampton and Emeka Egbuka. Prop lines are usually all over the place early in the season as sportsbooks attempt to establish a player’s potential, and you could take advantage of this with the right NFL picks. If you are looking for NFL prop bets or NFL parlays for Week 2, SportsLine has you covered with the top Week 2 player props from its Machine Learning Model AI.

Built using cutting-edge artificial intelligence and machine learning techniques by SportsLine’s Data Science team, AI Predictions and AI Ratings are generated for each player prop. 

Now, with the Week 2 NFL schedule quickly approaching, SportsLine’s Machine Learning Model AI has identified the top NFL props from the biggest Week 2 games.

Week 2 NFL props for Sunday’s main slate

After analyzing the NFL props from Sunday’s main slate and examining the dozens of NFL player prop markets, the SportsLine’s Machine Learning Model AI says Lions receiver Amon-Ra St. Brown goes Over 63.5 receiving yards (-114) versus the Bears at 1 p.m. ET. Detroit will host this contest, which is notable as St. Brown has averaged 114 receiving yards over his last six home games. He had at least 70 receiving yards in both matchups versus the Bears a year ago.

Chicago allowed 12 receivers to go Over 63.5 receiving yards last season as the Bears’ pass defense is adept at keeping opponents out of the endzone but not as good at preventing yardage. Chicago allowed the highest yards per attempt and second-highest yards per completion in 2024. While St. Brown had just 45 yards in the opener, the last time he was held under 50 receiving yards, he then had 193 yards the following week. The SportsLine Machine Learning Model projects 82.5 yards for St. Brown in a 4.5-star pick. See more Week 2 NFL props here.

Week 2 NFL props for Vikings vs. Falcons on Sunday Night Football

After analyzing Falcons vs. Vikings props and examining the dozens of NFL player prop markets, the SportsLine’s Machine Learning Model AI says Falcons running back Bijan Robinson goes Over 65.5 rushing yards (-114). Robinson ran for 92 yards and a touchdown in Week 14 of last season versus Minnesota, despite the Vikings having the league’s No. 2 run defense a year ago. The SportsLine Machine Learning Model projects Robinson to have 81.8 yards on average in a 4.5-star prop pick. See more NFL props for Vikings vs. Falcons here

You can make NFL prop bets on Robinson, Justin Jefferson and others with the Underdog Fantasy promo code CBSSPORTS2. Pick at Underdog Fantasy and get $50 in bonus funds after making a $5 wager:

Week 2 NFL props for Buccaneers vs. Texans on Monday Night Football

After analyzing Texans vs. Buccaneers props and examining the dozens of NFL player prop markets, the SportsLine’s Machine Learning Model AI says Bucs quarterback Baker Mayfield goes Under 235.5 passing yards (-114). While Houston has questions regarding its offense, there’s little worry about the team’s pass defense. In 2024, Houston had the second-most interceptions, the fourth-most sacks and allowed the fourth-worst passer rating. Since the start of last year, and including the playoffs, the Texans have held opposing QBs under 235.5 yards in 13 of 20 games. The SportsLine Machine Learning Model forecasts Mayfield to finish with just 200.1 passing yards, making the Under a 4-star NFL prop. See more NFL props for Buccaneers vs. Texans here

You can also use the latest FanDuel promo code to get $300 in bonus bets instantly:

Week 2 NFL props for Chargers vs. Raiders on Monday Night Football

After analyzing Raiders vs. Chargers props and examining the dozens of NFL player prop markets, the SportsLine’s Machine Learning Model AI says Chargers quarterback Justin Herbert goes Under 254.5 passing yards (-114). The Raiders’ defense was underrated in preventing big passing plays a year ago as it ranked third in the NFL in average depth of target allowed. It forced QBs to dink and dunk their way down the field, which doesn’t lead to big passing yardages, and L.A. generally prefers to not throw the ball anyway. Just four teams attempted fewer passes last season than the Chargers, and with L.A. running for 156.5 yards versus Vegas last season, Herbert shouldn’t be overly active on Monday night. He’s forecasted to have 221.1 passing yards in a 4.5-star NFL prop bet. See more NFL props for Chargers vs. Raiders here

How to make Week 2 NFL prop picks

SportsLine’s Machine Learning Model has identified another star who sails past his total and has dozens of NFL props rated 4 stars or better. You need to see the Machine Learning Model analysis before making any Week 2 NFL prop bets.

Which NFL prop picks should you target for Week 2, and which quarterback has multiple 5-star rated picks? Visit SportsLine to see the latest NFL player props from SportsLine’s Machine Learning Model that uses cutting-edge artificial intelligence to make its projections.





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In the News: Thomas Feeney on AI in Higher Education – Newsroom

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“I had an interesting experience over the summer teaching an AI ethics class. You know plagiarism would be an interesting question in an AI ethics class … They had permission to use AI for the first written assignment. And it was clear that many of them had just fed in the prompt, gotten back the paper and uploaded that. But rather than initiate a sort of disciplinary oppositional setting, I tried to show them, look, what you what you’ve produced is kind of generic … and this gave the students a chance to recognize that they weren’t there in their own work. This opened the floodgates,” Feeney said.

“I think the focus should be less on learning how to work with the interfaces we have right now and more on just graduate with a story about how you did something with AI that you couldn’t have done without it. And then, crucially, how you shared it with someone else,” he continued.



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Philippines businesses remain slow in adopting AI – study – Philstar.com

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Philippines businesses remain slow in adopting AI – study  Philstar.com



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